question_id,question_type,prompt,options,answer,data_info,answer_info,executor_variables
0,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 11 trading hours. The options are: [Option A: The portfolio contains the following stocks: TBLA weighted by : [1.0].     Option B: The portfolio contains the following stocks: PAY weighted by : [1.0].     Option C: The portfolio contains the following stocks: DCOM weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: TBLA weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: PAY weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: DCOM weighted by : [1.0]. ']",A,"Option A: The historical stock value data of TBLA for the past 19 hours is: [3.28, 3.28, 3.28, 3.28, 3.26, 3.19, 3.16, 3.16, 3.19, 3.14, 3.17, 3.15, 3.2, 3.19, 3.24, 3.24, 3.2, 3.2, 3.2]. 
Option B: The historical stock value data of PAY for the past 19 hours is: [21.44, 21.29, 21.33, 21.26, 21.23, 20.84, 20.42, 20.35, 20.41, 20.26, 20.23, 20.13, 20.45, 20.46, 20.46, 20.45, 20.48, 20.55, 20.55]. 
Option C: The historical stock value data of DCOM for the past 19 hours is: [25.18, 25.25, 25.26, 25.41, 25.28, 25.47, 24.89, 25.2, 25.25, 24.97, 25.14, 24.87, 24.97, 24.75, 24.91, 24.93, 24.93, 24.81, 24.8]. ",external_data_mc/answer_info/answer_info_0.pkl,external_data_mc/executor_variables/executor_variables_0.pkl
1,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 21 trading hours. The options are: [Option A: The portfolio contains the following stocks: PNTG, SUN, FNGS weighted by : [0.563, 0.127, 0.31].     Option B: The portfolio contains the following stocks: VEV, GBCI, SPMB weighted by : [0.248, 0.382, 0.369].     Option C: The portfolio contains the following stocks: CGON, SITC, HFRO weighted by : [0.191, 0.003, 0.806]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: PNTG, SUN, FNGS weighted by : [0.563, 0.127, 0.31]. ', 'Option B: The portfolio contains the following stocks: VEV, GBCI, SPMB weighted by : [0.248, 0.382, 0.369]. ', 'Option C: The portfolio contains the following stocks: CGON, SITC, HFRO weighted by : [0.191, 0.003, 0.806]. ']",C,"Option A: The historical stock value data of PNTG for the past 11 hours is: [33.2, 32.88, 32.94, 32.96, 32.88, 32.77, 33.08, 32.24, 31.59, 31.43, 31.55]. The historical stock value data of SUN for the past 11 hours is: [53.13, 52.99, 53.12, 53.18, 52.89, 52.66, 52.46, 52.74, 52.32, 52.12, 51.81]. The historical stock value data of FNGS for the past 11 hours is: [47.47, 46.86, 46.83, 46.83, 47.07, 47.0, 46.99, 45.82, 45.36, 45.19, 45.26]. 
Option B: The historical stock value data of VEV for the past 11 hours is: [0.14, 0.14, 0.14, 0.14, 0.13, 0.13, 0.14, 0.13, 0.13, 0.13, 0.13]. The historical stock value data of GBCI for the past 11 hours is: [45.02, 44.22, 44.19, 44.32, 44.59, 44.43, 44.35, 44.0, 43.49, 43.42, 43.75]. The historical stock value data of SPMB for the past 11 hours is: [22.5, 22.49, 22.5, 22.5, 22.52, 22.52, 22.52, 22.58, 22.61, 22.54, 22.58]. 
Option C: The historical stock value data of CGON for the past 11 hours is: [36.68, 36.61, 37.15, 36.8, 37.34, 37.54, 37.59, 37.78, 37.74, 37.86, 38.04]. The historical stock value data of SITC for the past 11 hours is: [58.37, 57.7, 58.17, 58.31, 58.24, 57.86, 57.79, 57.0, 57.0, 56.99, 57.17]. The historical stock value data of HFRO for the past 11 hours is: [5.93, 5.93, 5.93, 5.97, 6.01, 5.99, 6.02, 6.03, 6.01, 5.98, 6.02]. ",external_data_mc/answer_info/answer_info_1.pkl,external_data_mc/executor_variables/executor_variables_1.pkl
2,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 26 trading days. The options are: [Option A: The portfolio contains the following stocks: WEIX weighted by : [1.0].     Option B: The portfolio contains the following stocks: AMLP weighted by : [1.0].     Option C: The portfolio contains the following stocks: RSPH weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: WEIX weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: AMLP weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: RSPH weighted by : [1.0]. ']",B,"Option A: The historical stock value data of WEIX for the past 93 days is: [21.15, 21.26, 21.24, 21.49, 21.24, 21.62, 21.97, 21.86, 21.8, 21.62, 21.27, 21.5, 21.89, 22.14, 22.23, 22.71, 23.07, 23.35, 23.69, 23.66, 23.87, 23.83, 23.76, 23.79, 23.97, 23.85, 24.07, 24.07, 24.23, 24.4, 24.28, 24.3, 24.52, 24.71, 24.63, 24.74, 24.76, 24.65, 24.37, 24.5, 24.55, 24.64, 25.02, 25.02, 25.08, 25.1, 25.18, 24.96, 25.03, 25.13, 25.27, 25.26, 25.37, 25.1, 25.44, 25.43, 25.35, 24.71, 24.89, 24.53, 24.97, 24.81, 24.89, 24.89, 25.2, 25.33, 24.89, 24.8, 24.44, 24.61, 24.76, 24.8, 25.07, 24.75, 25.17, 25.46, 25.72, 25.92, 26.05, 26.16, 26.14, 25.99, 26.01, 26.15, 26.33, 26.29, 26.43, 26.63, 26.39, 26.46, 26.49, 26.23, 25.67]. 
Option B: The historical stock value data of AMLP for the past 93 days is: [33.83, 33.69, 33.82, 35.27, 34.93, 35.25, 35.77, 35.84, 35.67, 35.71, 35.64, 35.34, 35.23, 34.97, 33.85, 34.22, 34.86, 34.81, 34.92, 35.44, 35.4, 34.82, 34.61, 34.49, 34.67, 35.12, 35.21, 34.83, 34.83, 34.55, 34.27, 34.63, 34.69, 35.04, 35.34, 35.41, 35.77, 35.65, 35.4, 35.81, 35.91, 36.19, 36.39, 36.6, 36.13, 36.24, 36.56, 36.65, 36.93, 37.0, 37.44, 37.33, 37.32, 37.07, 37.37, 37.67, 37.48, 37.14, 37.17, 36.94, 37.26, 37.2, 37.02, 37.11, 37.58, 37.46, 37.03, 37.05, 37.18, 37.6, 37.67, 37.63, 37.49, 37.37, 37.56, 37.79, 37.95, 37.96, 37.91, 38.43, 38.45, 37.61, 37.81, 37.98, 37.88, 38.25, 38.29, 38.53, 38.35, 38.62, 38.9, 39.14, 38.9]. 
Option C: The historical stock value data of RSPH for the past 93 days is: [29.08, 29.0, 28.97, 29.01, 28.76, 28.79, 28.8, 28.89, 28.95, 28.51, 28.26, 27.94, 27.92, 27.69, 27.85, 28.11, 28.5, 28.6, 28.47, 28.39, 28.42, 28.56, 28.67, 28.91, 28.75, 29.22, 29.32, 29.19, 29.16, 29.28, 29.16, 29.1, 29.03, 28.99, 29.26, 29.61, 29.36, 29.34, 29.11, 28.92, 29.24, 29.38, 29.45, 29.53, 29.69, 29.59, 29.61, 29.81, 30.13, 30.38, 30.24, 30.28, 30.2, 29.9, 29.97, 29.69, 29.58, 29.56, 29.36, 29.26, 29.47, 29.49, 29.43, 29.39, 29.5, 29.5, 29.33, 28.97, 28.67, 28.56, 28.7, 28.65, 28.71, 28.55, 28.64, 28.84, 29.16, 29.21, 28.84, 28.91, 28.42, 28.34, 28.17, 28.06, 28.21, 28.1, 28.16, 28.28, 28.09, 27.97, 27.98, 27.89, 27.54]. ",external_data_mc/answer_info/answer_info_2.pkl,external_data_mc/executor_variables/executor_variables_2.pkl
3,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 22 trading days. The options are: [Option A: The portfolio contains the following stocks: DEED, VUZI, SMBC weighted by : [0.129, 0.625, 0.246].     Option B: The portfolio contains the following stocks: BGS, IBDQ, IVOL weighted by : [0.34, 0.128, 0.532].     Option C: The portfolio contains the following stocks: MYO, FSEP, SANM weighted by : [0.52, 0.244, 0.236]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: DEED, VUZI, SMBC weighted by : [0.129, 0.625, 0.246]. ', 'Option B: The portfolio contains the following stocks: BGS, IBDQ, IVOL weighted by : [0.34, 0.128, 0.532]. ', 'Option C: The portfolio contains the following stocks: MYO, FSEP, SANM weighted by : [0.52, 0.244, 0.236]. ']",B,"Option A: The historical stock value data of DEED for the past 99 days is: [19.44, 19.49, 19.53, 19.39, 19.45, 19.37, 19.32, 19.21, 19.26, 19.06, 19.07, 18.95, 18.99, 18.92, 18.77, 18.72, 18.82, 18.88, 18.78, 19.01, 18.97, 19.0, 18.81, 18.91, 18.78, 18.62, 18.44, 18.4, 18.42, 18.48, 18.59, 18.39, 18.57, 18.58, 18.51, 18.52, 18.74, 18.87, 18.96, 18.88, 18.98, 19.03, 18.85, 18.84, 18.83, 19.17, 19.01, 19.14, 19.2, 19.21, 19.29, 19.23, 19.12, 19.24, 19.36, 19.54, 19.43, 19.6, 19.55, 19.68, 19.76, 19.74, 19.69, 19.65, 19.7, 20.03, 20.19, 20.21, 20.19, 20.19, 20.28, 20.3, 20.3, 20.37, 20.41, 20.39, 20.39, 20.29, 20.27, 20.17, 20.04, 20.13, 20.14, 20.13, 20.23, 20.3, 20.16, 20.05, 20.07, 20.0, 20.07, 19.99, 19.92, 20.06, 20.05, 20.14, 20.18, 20.28, 20.4]. The historical stock value data of VUZI for the past 99 days is: [3.68, 3.63, 3.69, 3.6, 3.58, 3.51, 3.46, 3.35, 3.39, 3.47, 3.47, 3.53, 3.55, 3.63, 3.6, 3.57, 3.51, 3.49, 3.53, 3.41, 3.49, 3.4, 3.31, 3.16, 3.25, 3.44, 3.27, 3.2, 3.17, 3.09, 3.22, 3.14, 3.15, 3.05, 3.1, 3.25, 3.16, 3.37, 3.53, 3.37, 3.38, 3.3, 3.12, 2.58, 1.93, 2.38, 2.62, 2.34, 2.35, 2.32, 2.22, 2.18, 2.13, 2.08, 2.05, 2.15, 2.1, 2.15, 2.19, 2.16, 2.07, 2.16, 2.13, 2.05, 1.94, 2.05, 2.18, 2.44, 2.28, 2.37, 2.23, 2.35, 2.4, 2.39, 2.36, 2.24, 2.09, 2.15, 2.05, 2.06, 2.02, 2.11, 2.04, 2.0, 1.9, 1.84, 1.77, 1.63, 1.61, 1.66, 1.78, 1.79, 1.72, 1.7, 1.72, 1.77, 1.66, 1.67, 1.65]. The historical stock value data of SMBC for the past 99 days is: [40.14, 40.25, 40.96, 41.31, 39.76, 39.5, 38.72, 39.13, 38.18, 38.82, 37.85, 37.82, 38.9, 37.94, 38.31, 37.52, 38.68, 39.29, 39.76, 39.26, 39.89, 40.32, 40.0, 39.69, 40.16, 40.53, 39.3, 39.03, 38.54, 38.75, 38.88, 38.86, 39.42, 39.31, 39.67, 39.67, 40.07, 42.22, 43.35, 43.1, 42.54, 41.79, 40.98, 41.34, 41.35, 44.72, 44.2, 43.85, 44.41, 44.6, 43.42, 43.75, 44.0, 42.5, 42.84, 43.66, 42.47, 45.32, 45.97, 45.77, 45.09, 46.11, 46.75, 46.33, 46.44, 48.97, 51.0, 50.99, 50.59, 51.64, 51.57, 52.02, 52.73, 53.51, 53.6, 53.26, 52.62, 52.33, 50.29, 50.32, 50.26, 50.34, 49.47, 49.61, 48.74, 48.06, 46.56, 46.82, 46.98, 47.96, 49.65, 48.79, 49.41, 48.79, 48.96, 49.29, 47.08, 42.98, 42.29]. 
Option B: The historical stock value data of BGS for the past 99 days is: [10.22, 9.94, 10.27, 9.77, 9.73, 9.4, 9.62, 9.82, 9.64, 9.55, 9.42, 9.07, 9.15, 9.33, 9.22, 8.95, 8.07, 7.29, 7.28, 7.6, 7.88, 7.64, 7.35, 7.55, 8.02, 8.33, 8.19, 8.11, 7.99, 7.78, 7.9, 7.95, 8.22, 8.12, 7.81, 7.61, 7.52, 8.15, 8.5, 8.37, 8.44, 8.22, 8.28, 7.85, 7.64, 8.49, 8.68, 8.74, 8.89, 8.92, 8.85, 8.85, 8.86, 8.69, 8.74, 8.83, 8.72, 8.97, 9.3, 8.99, 9.39, 9.67, 9.64, 9.65, 9.68, 10.13, 10.38, 10.23, 10.03, 10.14, 9.94, 10.21, 10.21, 10.31, 10.25, 10.24, 10.08, 10.7, 10.45, 10.12, 9.86, 10.11, 10.28, 10.17, 9.82, 9.67, 9.46, 9.37, 9.41, 9.49, 9.81, 9.8, 9.56, 9.98, 9.91, 10.02, 9.93, 9.66, 10.03]. The historical stock value data of IBDQ for the past 99 days is: [23.48, 23.49, 23.5, 23.5, 23.49, 23.47, 23.44, 23.47, 23.49, 23.49, 23.48, 23.46, 23.51, 23.48, 23.48, 23.46, 23.51, 23.52, 23.51, 23.59, 23.57, 23.56, 23.53, 23.54, 23.53, 23.5, 23.5, 23.51, 23.54, 23.55, 23.55, 23.54, 23.58, 23.59, 23.57, 23.58, 23.64, 23.64, 23.67, 23.63, 23.67, 23.66, 23.63, 23.63, 23.65, 23.74, 23.71, 23.76, 23.74, 23.74, 23.77, 23.77, 23.78, 23.8, 23.85, 23.87, 23.86, 23.93, 23.89, 23.91, 23.91, 23.94, 23.89, 23.88, 23.91, 24.01, 24.03, 24.02, 24.0, 24.03, 24.04, 24.07, 24.08, 24.08, 24.1, 24.12, 24.14, 24.1, 24.1, 24.1, 24.1, 24.11, 24.12, 24.14, 24.17, 24.22, 24.19, 24.16, 24.17, 24.16, 24.17, 24.16, 24.17, 24.19, 24.2, 24.21, 24.21, 24.22, 24.24]. The historical stock value data of IVOL for the past 99 days is: [19.73, 19.81, 19.68, 19.55, 19.52, 19.35, 19.31, 19.33, 19.53, 19.76, 19.79, 19.8, 20.01, 19.95, 20.03, 20.2, 20.32, 20.3, 20.41, 20.64, 20.56, 20.2, 20.22, 20.12, 20.14, 19.91, 19.94, 20.33, 20.56, 20.41, 20.04, 20.21, 20.36, 20.58, 20.44, 20.42, 20.44, 20.12, 20.57, 20.23, 20.29, 19.97, 19.88, 19.91, 19.93, 20.31, 20.17, 20.18, 20.0, 19.95, 19.89, 19.88, 19.75, 19.82, 20.04, 20.16, 20.16, 20.41, 20.37, 20.26, 20.02, 20.22, 19.87, 19.67, 19.65, 20.05, 20.12, 19.92, 19.86, 19.84, 20.0, 20.1, 20.15, 20.1, 20.18, 20.11, 20.25, 20.12, 20.11, 20.04, 19.96, 20.02, 19.95, 20.02, 20.13, 20.46, 20.38, 19.96, 20.16, 20.01, 20.01, 20.07, 20.06, 20.09, 19.97, 20.09, 19.72, 19.98, 20.03]. 
Option C: The historical stock value data of MYO for the past 99 days is: [1.24, 1.3, 1.31, 1.28, 1.25, 1.22, 1.08, 1.04, 1.19, 1.29, 1.24, 1.18, 1.13, 1.11, 1.12, 0.98, 1.07, 1.1, 1.14, 1.11, 1.09, 1.1, 1.12, 1.11, 1.3, 1.3, 1.33, 1.27, 1.21, 1.25, 1.12, 1.12, 1.1, 1.09, 1.09, 1.13, 1.25, 1.35, 1.37, 1.66, 1.76, 1.89, 1.9, 2.13, 2.21, 2.57, 3.1, 3.03, 2.89, 3.06, 3.16, 3.31, 3.22, 3.35, 3.19, 3.24, 3.1, 3.33, 4.07, 4.01, 4.05, 4.29, 3.98, 4.09, 4.23, 4.26, 4.7, 5.18, 5.14, 5.05, 4.08, 4.32, 4.39, 5.03, 5.14, 5.35, 5.01, 4.79, 4.09, 4.29, 4.74, 4.97, 4.55, 4.44, 4.24, 4.09, 3.8, 4.1, 4.02, 3.95, 3.7, 3.85, 3.65, 3.35, 3.26, 3.33, 3.34, 3.33, 3.36]. The historical stock value data of FSEP for the past 99 days is: [38.14, 38.17, 38.5, 38.05, 38.06, 38.01, 37.74, 37.31, 37.25, 37.38, 36.98, 37.0, 37.14, 37.08, 37.08, 36.72, 36.92, 36.91, 37.23, 37.4, 37.55, 37.67, 37.51, 37.37, 37.65, 37.63, 37.27, 37.04, 36.73, 36.71, 36.93, 36.5, 36.21, 36.11, 36.4, 36.56, 36.88, 37.38, 37.62, 37.68, 37.76, 37.82, 37.58, 38.0, 37.95, 38.49, 38.51, 38.58, 38.64, 38.8, 38.75, 38.84, 38.88, 38.84, 38.88, 38.86, 38.97, 39.15, 39.02, 39.01, 38.91, 39.12, 39.19, 39.36, 39.45, 39.85, 39.92, 39.91, 40.01, 40.16, 39.7, 40.02, 40.07, 40.15, 40.25, 40.22, 40.24, 40.09, 39.81, 39.77, 39.78, 40.17, 40.14, 40.31, 40.3, 40.37, 40.21, 40.06, 40.31, 40.63, 40.7, 40.79, 40.84, 40.95, 40.91, 41.06, 41.1, 40.72, 40.96]. The historical stock value data of SANM for the past 99 days is: [52.29, 52.26, 53.2, 52.21, 52.25, 53.01, 52.66, 52.75, 52.66, 52.85, 52.05, 52.97, 54.94, 54.28, 54.19, 53.8, 53.03, 52.86, 53.15, 53.97, 53.79, 54.48, 54.07, 52.81, 53.2, 52.64, 51.99, 51.06, 50.49, 50.31, 51.17, 50.0, 50.93, 50.74, 50.3, 50.87, 51.3, 52.16, 53.36, 52.81, 45.24, 47.13, 46.69, 47.72, 47.67, 49.81, 50.1, 48.67, 49.78, 50.18, 49.29, 49.75, 49.87, 49.86, 49.64, 49.87, 50.11, 50.38, 50.28, 49.78, 48.99, 49.29, 49.8, 50.58, 49.94, 51.47, 53.01, 51.49, 52.0, 52.4, 51.83, 51.91, 52.47, 52.72, 52.11, 52.21, 51.37, 50.41, 49.32, 49.97, 50.1, 50.91, 49.86, 50.06, 50.33, 50.86, 50.34, 49.37, 50.34, 51.14, 51.71, 51.52, 51.72, 51.32, 50.32, 50.63, 64.91, 59.82, 60.03]. ",external_data_mc/answer_info/answer_info_3.pkl,external_data_mc/executor_variables/executor_variables_3.pkl
4,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 19 trading days. The options are: [Option A: The portfolio contains the following stocks: TMV weighted by : [1.0].     Option B: The portfolio contains the following stocks: FRGE weighted by : [1.0].     Option C: The portfolio contains the following stocks: HSAI weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: TMV weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: FRGE weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: HSAI weighted by : [1.0]. ']",C,"Option A: The historical stock value data of TMV for the past 92 days is: [29.3, 29.67, 29.97, 29.27, 28.46, 27.68, 27.46, 28.3, 28.49, 28.0, 29.27, 28.27, 28.38, 28.16, 29.0, 28.28, 27.63, 27.87, 27.31, 27.16, 28.07, 27.36, 27.3, 27.53, 27.18, 28.68, 27.75, 28.2, 29.03, 30.26, 30.88, 30.78, 30.4, 29.27, 28.48, 28.91, 28.92, 28.54, 27.57, 28.6, 28.56, 28.93, 29.1, 29.06, 30.76, 30.35, 30.11, 31.62, 32.61, 34.94, 33.14, 34.16, 32.97, 32.46, 34.04, 34.33, 34.58, 35.26, 36.06, 36.6, 36.29, 37.75, 36.87, 34.2, 34.87, 34.61, 34.46, 33.42, 33.53, 33.16, 34.7, 36.17, 35.91, 35.74, 35.33, 36.07, 35.45, 35.58, 36.4, 36.97, 36.46, 37.25, 36.96, 39.84, 38.91, 41.86, 42.25, 42.94, 42.66, 42.62, 44.78, 47.66]. 
Option B: The historical stock value data of FRGE for the past 92 days is: [1.27, 1.27, 1.29, 1.34, 1.4, 1.44, 1.57, 1.76, 1.83, 1.8, 1.88, 1.86, 2.03, 1.96, 1.82, 1.78, 1.93, 1.83, 2.08, 2.15, 2.12, 2.26, 2.09, 2.21, 2.44, 2.42, 2.43, 2.43, 2.45, 2.5, 2.68, 3.04, 2.85, 2.35, 2.39, 2.36, 2.54, 2.62, 2.64, 2.71, 2.76, 2.79, 2.73, 2.95, 2.78, 2.82, 2.91, 2.89, 2.76, 2.8, 2.89, 2.74, 2.85, 2.93, 2.88, 2.85, 2.61, 2.6, 2.48, 2.3, 2.18, 2.21, 2.18, 2.24, 2.2, 2.28, 2.32, 2.46, 2.44, 2.45, 2.35, 2.28, 2.32, 2.22, 2.16, 2.25, 2.15, 2.05, 2.1, 2.09, 1.99, 2.15, 2.11, 2.01, 1.97, 1.95, 1.92, 1.95, 1.97, 2.03, 1.89, 1.81]. 
Option C: The historical stock value data of HSAI for the past 92 days is: [9.37, 8.11, 7.98, 8.01, 7.95, 7.55, 8.03, 8.56, 8.13, 9.2, 8.85, 9.07, 9.0, 9.17, 11.15, 11.43, 11.21, 10.43, 9.54, 10.81, 10.6, 9.98, 10.19, 11.0, 10.47, 10.43, 10.53, 11.34, 11.37, 10.69, 10.52, 10.79, 12.62, 12.86, 12.02, 12.59, 13.26, 12.88, 11.82, 10.84, 10.38, 11.22, 11.26, 11.97, 12.3, 13.33, 12.72, 12.32, 11.6, 11.86, 11.18, 10.81, 11.79, 11.12, 11.07, 10.68, 11.02, 11.67, 11.52, 10.89, 9.73, 9.94, 9.9, 9.34, 9.12, 9.01, 9.63, 9.42, 9.33, 9.88, 10.5, 10.75, 10.78, 10.84, 11.7, 10.05, 9.99, 9.69, 9.98, 10.17, 10.05, 10.57, 10.22, 10.15, 10.35, 10.51, 10.41, 10.25, 10.3, 10.0, 10.16, 9.84]. ",external_data_mc/answer_info/answer_info_4.pkl,external_data_mc/executor_variables/executor_variables_4.pkl
5,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 8 trading hours. The options are: [Option A: The portfolio contains the following stocks: RDW, APPF, HCSG, PAR weighted by : [0.091, 0.157, 0.386, 0.366].     Option B: The portfolio contains the following stocks: FXN, FENI, MATX, MTC weighted by : [0.169, 0.193, 0.396, 0.242].     Option C: The portfolio contains the following stocks: SOND, MTAL, RWAY, SHYD weighted by : [0.159, 0.067, 0.271, 0.502]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: RDW, APPF, HCSG, PAR weighted by : [0.091, 0.157, 0.386, 0.366]. ', 'Option B: The portfolio contains the following stocks: FXN, FENI, MATX, MTC weighted by : [0.169, 0.193, 0.396, 0.242]. ', 'Option C: The portfolio contains the following stocks: SOND, MTAL, RWAY, SHYD weighted by : [0.159, 0.067, 0.271, 0.502]. ']",C,"Option A: The historical stock value data of RDW for the past 15 hours is: [6.03, 6.04, 6.03, 6.07, 5.91, 5.84, 5.76, 5.79, 5.75, 5.82, 5.76, 5.91, 5.93, 5.97, 5.92]. The historical stock value data of APPF for the past 15 hours is: [225.98, 226.73, 226.28, 228.29, 227.17, 222.78, 222.93, 223.45, 222.89, 224.3, 222.93, 224.53, 223.03, 222.48, 222.04]. The historical stock value data of HCSG for the past 15 hours is: [10.81, 10.77, 10.74, 10.76, 10.55, 10.43, 10.44, 10.54, 10.5, 10.49, 10.48, 10.4, 10.45, 10.47, 10.49]. The historical stock value data of PAR for the past 15 hours is: [52.19, 52.9, 53.01, 52.94, 52.52, 52.29, 52.3, 52.35, 52.35, 52.49, 52.75, 52.61, 52.13, 52.47, 52.5]. 
Option B: The historical stock value data of FXN for the past 15 hours is: [16.47, 16.49, 16.49, 16.45, 16.38, 16.2, 16.16, 16.24, 16.15, 16.18, 16.16, 16.19, 16.15, 16.22, 16.2]. The historical stock value data of FENI for the past 15 hours is: [29.35, 29.45, 29.44, 29.36, 29.16, 29.11, 28.88, 28.88, 28.88, 28.92, 28.82, 29.2, 29.16, 29.2, 29.19]. The historical stock value data of MATX for the past 15 hours is: [132.42, 131.88, 131.65, 131.16, 128.05, 126.79, 127.59, 127.53, 126.74, 125.81, 125.65, 125.22, 125.65, 126.0, 126.37]. The historical stock value data of MTC for the past 15 hours is: [0.26, 0.26, 0.27, 0.26, 0.26, 0.27, 0.25, 0.25, 0.25, 0.26, 0.26, 0.26, 0.25, 0.25, 0.25]. 
Option C: The historical stock value data of SOND for the past 15 hours is: [6.15, 6.06, 5.96, 6.0, 6.09, 6.11, 6.24, 6.11, 6.24, 6.37, 6.22, 6.74, 6.49, 6.49, 6.45]. The historical stock value data of MTAL for the past 15 hours is: [10.01, 10.09, 10.03, 10.05, 10.19, 10.22, 10.21, 10.3, 10.2, 10.2, 10.17, 10.41, 10.31, 10.34, 10.39]. The historical stock value data of RWAY for the past 15 hours is: [10.57, 10.57, 10.54, 10.54, 10.49, 10.42, 10.4, 10.42, 10.41, 10.43, 10.43, 10.44, 10.44, 10.47, 10.47]. The historical stock value data of SHYD for the past 15 hours is: [22.56, 22.52, 22.55, 22.54, 22.54, 22.55, 22.5, 22.5, 22.52, 22.52, 22.52, 22.54, 22.55, 22.59, 22.58]. ",external_data_mc/answer_info/answer_info_5.pkl,external_data_mc/executor_variables/executor_variables_5.pkl
6,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 5 trading hours. The options are: [Option A: The portfolio contains the following stocks: SYY weighted by : [1.0].     Option B: The portfolio contains the following stocks: OCCI weighted by : [1.0].     Option C: The portfolio contains the following stocks: PMO weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SYY weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: OCCI weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: PMO weighted by : [1.0]. ']",C,"Option A: The historical stock value data of SYY for the past 15 hours is: [78.75, 78.73, 78.8, 78.8, 78.59, 78.9, 78.54, 78.47, 78.62, 78.76, 78.41, 78.4, 78.1, 78.63, 78.55]. 
Option B: The historical stock value data of OCCI for the past 15 hours is: [7.32, 7.34, 7.34, 7.34, 7.38, 7.45, 7.44, 7.45, 7.45, 7.44, 7.45, 7.45, 7.43, 7.45, 7.45]. 
Option C: The historical stock value data of PMO for the past 15 hours is: [10.51, 10.51, 10.5, 10.5, 10.5, 10.53, 10.53, 10.53, 10.52, 10.53, 10.53, 10.53, 10.57, 10.56, 10.56]. ",external_data_mc/answer_info/answer_info_6.pkl,external_data_mc/executor_variables/executor_variables_6.pkl
7,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 15 trading hours. The options are: [Option A: The portfolio contains the following stocks: UVV weighted by : [1.0].     Option B: The portfolio contains the following stocks: PHYS weighted by : [1.0].     Option C: The portfolio contains the following stocks: POWW weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: UVV weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: PHYS weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: POWW weighted by : [1.0]. ']",B,"Option A: The historical stock value data of UVV for the past 12 hours is: [53.33, 53.68, 53.69, 53.62, 53.58, 53.32, 53.34, 52.92, 53.0, 52.85, 52.62, 52.24]. 
Option B: The historical stock value data of PHYS for the past 12 hours is: [19.55, 19.57, 19.59, 19.58, 19.59, 19.5, 19.59, 19.41, 19.43, 19.43, 19.43, 19.44]. 
Option C: The historical stock value data of POWW for the past 12 hours is: [1.42, 1.43, 1.43, 1.43, 1.44, 1.4, 1.39, 1.39, 1.4, 1.4, 1.41, 1.41]. ",external_data_mc/answer_info/answer_info_7.pkl,external_data_mc/executor_variables/executor_variables_7.pkl
8,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 10 trading days. The options are: [Option A: The portfolio contains the following stocks: DKNG weighted by : [1.0].     Option B: The portfolio contains the following stocks: SMP weighted by : [1.0].     Option C: The portfolio contains the following stocks: EVBN weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: DKNG weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: SMP weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: EVBN weighted by : [1.0]. ']",B,"Option A: The historical stock value data of DKNG for the past 97 days is: [24.92, 25.3, 25.98, 25.06, 25.56, 24.94, 25.46, 26.14, 25.27, 24.83, 24.51, 24.76, 24.95, 25.49, 25.03, 25.18, 25.96, 25.66, 26.27, 26.57, 26.25, 26.08, 25.23, 26.65, 28.86, 28.96, 30.49, 31.3, 30.55, 31.24, 31.29, 30.85, 30.68, 31.08, 30.61, 30.98, 31.51, 30.96, 32.38, 31.78, 31.55, 30.24, 29.99, 31.74, 31.63, 31.71, 28.26, 27.75, 29.39, 29.36, 28.33, 27.34, 26.37, 26.57, 27.29, 27.24, 27.81, 27.25, 28.15, 28.11, 28.89, 29.67, 29.65, 29.64, 29.75, 30.37, 31.17, 31.85, 31.79, 30.69, 30.71, 31.49, 31.04, 31.25, 30.09, 30.08, 28.71, 27.76, 27.36, 27.92, 29.02, 28.93, 29.44, 29.04, 27.87, 28.66, 28.37, 29.64, 29.58, 30.27, 30.74, 29.46, 28.55, 29.8, 30.25, 28.56, 27.72]. 
Option B: The historical stock value data of SMP for the past 97 days is: [35.59, 34.47, 35.27, 36.17, 35.52, 35.85, 35.61, 35.32, 35.33, 35.68, 35.43, 35.47, 35.68, 35.56, 34.6, 34.98, 35.6, 36.01, 36.3, 35.97, 36.41, 35.34, 35.4, 35.81, 35.5, 35.96, 36.41, 36.59, 36.73, 36.53, 36.32, 36.38, 36.66, 36.17, 36.55, 36.87, 36.74, 36.05, 35.98, 36.6, 37.34, 35.28, 35.08, 36.73, 37.11, 36.09, 35.92, 35.92, 35.58, 35.45, 35.18, 34.82, 34.47, 34.37, 35.32, 35.4, 35.84, 35.31, 35.68, 35.48, 35.34, 35.47, 35.78, 36.63, 35.36, 35.23, 34.07, 33.76, 33.64, 33.17, 32.77, 33.29, 32.67, 32.53, 33.08, 33.11, 32.62, 32.09, 32.0, 31.74, 32.18, 32.65, 32.49, 32.23, 31.96, 32.37, 32.08, 31.74, 31.98, 31.82, 31.57, 31.42, 31.03, 31.14, 31.7, 31.35, 31.02]. 
Option C: The historical stock value data of EVBN for the past 97 days is: [23.0, 23.0, 23.26, 23.79, 24.09, 23.85, 24.0, 23.96, 23.75, 24.0, 23.72, 23.76, 23.72, 23.63, 23.38, 23.53, 23.61, 23.42, 23.47, 23.42, 23.47, 23.25, 23.02, 23.09, 23.19, 23.01, 23.25, 23.47, 23.44, 23.39, 24.15, 24.97, 25.41, 25.19, 25.67, 25.83, 27.06, 27.72, 28.32, 27.92, 27.73, 27.67, 27.97, 28.56, 28.21, 28.03, 27.72, 27.52, 27.72, 27.49, 27.11, 27.05, 27.2, 27.65, 27.16, 26.72, 26.71, 26.73, 26.99, 26.93, 27.18, 26.81, 26.6, 27.21, 26.42, 26.12, 25.66, 25.74, 25.88, 26.17, 25.94, 27.13, 27.37, 26.75, 26.33, 25.93, 26.0, 26.24, 26.53, 25.82, 25.72, 25.98, 25.76, 25.91, 25.63, 25.62, 26.12, 26.59, 26.61, 26.82, 27.32, 26.99, 26.54, 26.54, 26.44, 26.33, 26.19]. ",external_data_mc/answer_info/answer_info_8.pkl,external_data_mc/executor_variables/executor_variables_8.pkl
9,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 11 trading days. The options are: [Option A: The portfolio contains the following stocks: MUSI, ALRS weighted by : [0.033, 0.967].     Option B: The portfolio contains the following stocks: DXLG, XOMAO weighted by : [0.666, 0.334].     Option C: The portfolio contains the following stocks: WANT, ALVR weighted by : [0.595, 0.405]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: MUSI, ALRS weighted by : [0.033, 0.967]. ', 'Option B: The portfolio contains the following stocks: DXLG, XOMAO weighted by : [0.666, 0.334]. ', 'Option C: The portfolio contains the following stocks: WANT, ALVR weighted by : [0.595, 0.405]. ']",A,"Option A: The historical stock value data of MUSI for the past 92 days is: [39.4, 39.69, 39.54, 39.67, 39.7, 39.5, 39.55, 39.69, 40.14, 39.97, 40.16, 40.2, 40.24, 40.35, 40.33, 40.18, 40.39, 40.54, 40.89, 40.67, 40.99, 40.81, 40.99, 41.03, 41.06, 40.89, 40.85, 41.0, 41.55, 41.81, 41.69, 41.68, 41.79, 41.89, 41.88, 41.96, 41.86, 42.12, 42.03, 41.97, 41.86, 41.83, 41.65, 41.63, 41.8, 41.83, 41.82, 42.0, 42.16, 41.88, 41.73, 41.8, 41.74, 41.9, 41.83, 41.78, 41.93, 41.93, 42.03, 42.07, 42.26, 42.37, 42.03, 41.81, 42.04, 41.95, 41.87, 41.8, 41.85, 41.5, 41.69, 41.79, 41.65, 41.69, 41.63, 41.69, 41.74, 41.71, 41.66, 41.76, 41.79, 41.9, 41.88, 42.02, 42.08, 42.11, 42.21, 42.18, 42.05, 42.05, 41.86, 41.81]. The historical stock value data of ALRS for the past 92 days is: [17.35, 17.36, 17.18, 17.21, 16.94, 16.78, 16.86, 16.98, 18.42, 18.55, 18.31, 18.33, 18.03, 17.71, 17.8, 17.94, 17.88, 17.46, 17.65, 17.6, 18.05, 18.14, 18.02, 18.12, 18.43, 18.36, 18.38, 18.49, 20.11, 20.47, 21.72, 21.11, 21.25, 21.12, 21.57, 21.68, 22.06, 22.16, 21.92, 21.75, 21.46, 20.99, 21.08, 20.87, 20.97, 20.79, 20.96, 20.8, 20.46, 20.03, 20.12, 20.3, 20.44, 21.09, 21.04, 21.12, 22.36, 22.75, 23.32, 23.8, 22.06, 22.62, 21.87, 21.62, 21.6, 21.42, 21.61, 21.85, 22.51, 21.0, 21.25, 22.33, 22.21, 21.62, 21.61, 21.1, 21.11, 21.22, 21.16, 20.94, 21.19, 21.08, 21.27, 21.38, 21.38, 21.38, 21.49, 21.38, 21.63, 21.54, 20.99, 20.7]. 
Option B: The historical stock value data of DXLG for the past 92 days is: [4.39, 4.52, 4.48, 4.46, 4.45, 4.37, 4.45, 4.34, 4.76, 4.78, 4.69, 4.51, 4.16, 4.11, 4.01, 4.01, 3.96, 3.82, 3.92, 3.78, 3.82, 3.85, 3.68, 3.84, 3.99, 4.12, 4.07, 4.09, 4.34, 4.57, 4.5, 4.46, 4.61, 4.52, 4.6, 4.52, 4.56, 4.58, 4.6, 4.4, 4.33, 4.08, 4.09, 4.0, 4.14, 4.12, 4.06, 4.02, 4.01, 4.04, 4.06, 4.11, 4.12, 4.22, 4.29, 4.22, 4.29, 4.27, 4.39, 4.38, 4.27, 4.3, 4.16, 3.9, 3.82, 3.76, 3.89, 3.85, 3.97, 3.83, 3.85, 4.0, 4.0, 3.9, 3.87, 3.8, 4.01, 4.0, 4.04, 3.94, 3.99, 3.97, 3.95, 3.89, 3.82, 3.73, 3.81, 3.72, 3.74, 3.74, 3.72, 3.75]. The historical stock value data of XOMAO for the past 92 days is: [20.56, 20.56, 20.65, 20.33, 20.48, 20.47, 20.48, 20.65, 20.58, 20.52, 20.67, 20.93, 20.92, 21.0, 21.05, 21.05, 21.32, 20.91, 21.42, 21.26, 21.35, 21.25, 21.45, 21.42, 21.19, 20.89, 21.28, 21.03, 21.09, 21.46, 22.28, 22.93, 23.3, 23.65, 23.37, 23.61, 23.71, 23.63, 23.48, 23.6, 23.89, 23.99, 23.64, 22.78, 23.21, 23.21, 23.83, 23.42, 23.32, 23.03, 23.43, 23.53, 23.42, 23.71, 23.79, 23.84, 24.14, 24.07, 23.99, 23.99, 23.99, 23.72, 23.61, 23.82, 23.91, 23.72, 23.83, 23.99, 24.06, 23.99, 23.99, 23.94, 23.84, 23.75, 23.63, 23.53, 23.75, 23.94, 23.51, 23.59, 23.59, 23.59, 23.6, 23.7, 23.51, 23.75, 23.85, 23.98, 23.99, 23.94, 24.01, 24.08]. 
Option C: The historical stock value data of WANT for the past 92 days is: [24.06, 24.99, 25.09, 25.9, 25.7, 24.32, 25.47, 25.75, 28.34, 28.46, 27.63, 28.09, 28.51, 28.32, 28.56, 28.57, 28.75, 29.26, 29.0, 28.8, 30.01, 29.63, 29.74, 29.87, 30.61, 31.05, 31.3, 31.55, 32.76, 34.14, 34.3, 34.89, 35.69, 33.76, 35.3, 34.49, 34.82, 35.18, 34.66, 34.0, 33.06, 30.99, 30.34, 30.53, 32.0, 31.65, 32.39, 32.26, 31.05, 30.9, 30.11, 30.55, 31.42, 30.98, 30.74, 30.48, 29.3, 29.65, 30.94, 30.84, 29.23, 30.83, 32.41, 31.11, 31.58, 32.64, 33.08, 33.71, 33.65, 31.72, 32.66, 33.75, 33.19, 32.24, 32.89, 34.78, 34.28, 34.5, 34.89, 35.36, 35.99, 36.35, 34.8, 33.53, 33.14, 33.9, 33.5, 33.24, 33.99, 33.86, 33.15, 32.14]. The historical stock value data of ALVR for the past 92 days is: [1.75, 1.68, 1.62, 1.68, 1.56, 1.4, 1.42, 1.37, 1.59, 1.68, 1.65, 1.63, 1.64, 1.56, 1.52, 1.55, 1.54, 1.63, 1.78, 1.88, 1.97, 2.1, 2.04, 2.26, 2.3, 2.35, 2.18, 2.14, 2.22, 2.39, 2.37, 2.24, 2.39, 2.22, 2.33, 0.76, 0.75, 0.7, 0.68, 0.68, 0.69, 0.64, 0.67, 0.65, 0.67, 0.68, 0.7, 0.66, 0.69, 0.67, 0.68, 0.69, 0.68, 0.68, 0.67, 0.67, 0.69, 0.71, 0.71, 0.72, 0.72, 0.77, 0.69, 0.67, 0.69, 0.67, 0.67, 0.72, 0.7, 0.67, 0.67, 0.69, 0.7, 0.7, 0.71, 0.7, 0.7, 0.72, 0.74, 0.71, 0.74, 0.75, 0.74, 0.73, 0.73, 0.74, 0.73, 0.73, 0.74, 0.73, 0.73, 0.78]. ",external_data_mc/answer_info/answer_info_9.pkl,external_data_mc/executor_variables/executor_variables_9.pkl
10,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 16 trading hours. The options are: [Option A: The portfolio contains the following stocks: KNW weighted by : [1.0].     Option B: The portfolio contains the following stocks: NTLA weighted by : [1.0].     Option C: The portfolio contains the following stocks: ALTL weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: KNW weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: NTLA weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: ALTL weighted by : [1.0]. ']",C,"Option A: The historical stock value data of KNW for the past 11 hours is: [0.28, 0.26, 0.27, 0.26, 0.26, 0.27, 0.27, 0.27, 0.27, 0.27, 0.28]. 
Option B: The historical stock value data of NTLA for the past 11 hours is: [20.95, 20.33, 19.85, 19.66, 20.02, 19.76, 19.81, 19.73, 20.0, 19.75, 19.82]. 
Option C: The historical stock value data of ALTL for the past 11 hours is: [37.7, 37.67, 37.54, 37.46, 37.47, 37.45, 37.46, 37.4, 37.54, 37.66, 37.82]. ",external_data_mc/answer_info/answer_info_10.pkl,external_data_mc/executor_variables/executor_variables_10.pkl
11,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 11 trading hours. The options are: [Option A: The portfolio contains the following stocks: LUNR, BMO, EJH, STLD weighted by : [0.712, 0.099, 0.001, 0.187].     Option B: The portfolio contains the following stocks: WHR, DYN, EIPI, TOLZ weighted by : [0.408, 0.19, 0.019, 0.383].     Option C: The portfolio contains the following stocks: ESML, HOMB, TLS, QCRH weighted by : [0.524, 0.331, 0.142, 0.002]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: LUNR, BMO, EJH, STLD weighted by : [0.712, 0.099, 0.001, 0.187]. ', 'Option B: The portfolio contains the following stocks: WHR, DYN, EIPI, TOLZ weighted by : [0.408, 0.19, 0.019, 0.383]. ', 'Option C: The portfolio contains the following stocks: ESML, HOMB, TLS, QCRH weighted by : [0.524, 0.331, 0.142, 0.002]. ']",C,"Option A: The historical stock value data of LUNR for the past 17 hours is: [5.21, 5.11, 5.11, 4.95, 4.77, 4.78, 4.91, 4.98, 5.01, 5.05, 5.22, 5.42, 5.51, 5.57, 5.48, 5.49, 5.51]. The historical stock value data of BMO for the past 17 hours is: [83.0, 83.01, 82.97, 82.8, 82.27, 81.88, 82.29, 82.17, 82.36, 82.34, 83.09, 82.89, 83.25, 83.17, 83.08, 83.01, 83.03]. The historical stock value data of EJH for the past 17 hours is: [0.11, 0.11, 0.12, 0.12, 0.11, 0.11, 0.11, 0.11, 0.11, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12]. The historical stock value data of STLD for the past 17 hours is: [111.76, 111.8, 111.31, 110.73, 110.36, 110.33, 111.72, 111.0, 111.01, 110.97, 111.98, 112.2, 112.44, 112.19, 111.5, 111.43, 110.72]. 
Option B: The historical stock value data of WHR for the past 17 hours is: [99.06, 98.4, 97.53, 97.66, 97.44, 97.41, 98.03, 97.7, 97.62, 97.64, 97.26, 97.44, 98.11, 98.06, 97.97, 98.08, 97.13]. The historical stock value data of DYN for the past 17 hours is: [33.35, 33.78, 33.64, 32.38, 31.99, 32.15, 33.26, 33.51, 33.39, 33.03, 33.1, 32.96, 33.22, 33.14, 33.06, 32.42, 32.49]. The historical stock value data of EIPI for the past 17 hours is: [19.14, 19.12, 19.13, 19.06, 18.99, 18.97, 18.98, 18.94, 18.99, 18.96, 18.98, 19.01, 19.06, 19.06, 19.03, 19.06, 19.0]. The historical stock value data of TOLZ for the past 17 hours is: [50.32, 50.17, 50.24, 50.15, 50.08, 49.95, 50.04, 49.93, 50.05, 49.95, 50.16, 50.23, 50.36, 50.44, 50.37, 50.31, 50.41]. 
Option C: The historical stock value data of ESML for the past 17 hours is: [40.06, 39.94, 39.9, 39.55, 39.3, 39.19, 39.35, 39.21, 39.34, 39.19, 39.52, 39.41, 39.61, 39.59, 39.44, 39.42, 39.31]. The historical stock value data of HOMB for the past 17 hours is: [27.31, 27.26, 27.18, 26.98, 26.79, 26.8, 26.9, 26.75, 26.79, 26.74, 26.94, 26.83, 26.93, 26.92, 26.92, 26.79, 26.75]. The historical stock value data of TLS for the past 17 hours is: [3.42, 3.4, 3.38, 3.28, 3.27, 3.23, 3.2, 3.19, 3.17, 3.18, 3.12, 3.1, 3.18, 3.16, 3.2, 3.2, 3.21]. The historical stock value data of QCRH for the past 17 hours is: [74.27, 74.69, 74.37, 73.69, 73.15, 72.99, 73.46, 73.03, 73.66, 73.08, 73.53, 73.29, 73.61, 73.5, 73.47, 73.19, 72.86]. ",external_data_mc/answer_info/answer_info_11.pkl,external_data_mc/executor_variables/executor_variables_11.pkl
12,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 20 trading hours. The options are: [Option A: The portfolio contains the following stocks: FLMI, SRDX, PSNY weighted by : [0.397, 0.198, 0.405].     Option B: The portfolio contains the following stocks: AGNCO, NGNE, LAC weighted by : [0.505, 0.102, 0.393].     Option C: The portfolio contains the following stocks: YPF, BORR, WOLF weighted by : [0.46, 0.16, 0.381]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: FLMI, SRDX, PSNY weighted by : [0.397, 0.198, 0.405]. ', 'Option B: The portfolio contains the following stocks: AGNCO, NGNE, LAC weighted by : [0.505, 0.102, 0.393]. ', 'Option C: The portfolio contains the following stocks: YPF, BORR, WOLF weighted by : [0.46, 0.16, 0.381]. ']",B,"Option A: The historical stock value data of FLMI for the past 13 hours is: [24.74, 24.75, 24.75, 24.77, 24.72, 24.78, 24.75, 24.8, 24.78, 24.81, 24.8, 24.76, 24.78]. The historical stock value data of SRDX for the past 13 hours is: [38.9, 38.79, 38.83, 38.81, 38.86, 38.83, 39.0, 38.82, 38.72, 38.82, 38.84, 38.82, 38.86]. The historical stock value data of PSNY for the past 13 hours is: [1.31, 1.32, 1.32, 1.3, 1.32, 1.31, 1.32, 1.36, 1.41, 1.39, 1.4, 1.41, 1.41]. 
Option B: The historical stock value data of AGNCO for the past 13 hours is: [24.98, 24.98, 24.98, 25.0, 24.98, 25.01, 25.01, 25.0, 25.04, 25.03, 25.0, 25.05, 25.0]. The historical stock value data of NGNE for the past 13 hours is: [34.9, 35.02, 35.58, 35.45, 35.89, 34.7, 34.42, 33.58, 32.85, 33.13, 33.9, 34.16, 34.3]. The historical stock value data of LAC for the past 13 hours is: [2.37, 2.34, 2.37, 2.34, 2.35, 2.35, 2.32, 2.26, 2.23, 2.2, 2.24, 2.23, 2.26]. 
Option C: The historical stock value data of YPF for the past 13 hours is: [24.24, 24.25, 24.03, 23.91, 23.87, 23.9, 23.93, 23.85, 23.22, 23.31, 23.38, 23.37, 23.5]. The historical stock value data of BORR for the past 13 hours is: [5.6, 5.7, 5.72, 5.74, 5.64, 5.64, 5.63, 5.51, 5.51, 5.43, 5.51, 5.43, 5.47]. The historical stock value data of WOLF for the past 13 hours is: [9.23, 8.67, 8.74, 8.51, 8.82, 8.77, 8.8, 8.36, 8.15, 8.09, 8.19, 8.19, 8.2]. ",external_data_mc/answer_info/answer_info_12.pkl,external_data_mc/executor_variables/executor_variables_12.pkl
13,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 4 trading hours. The options are: [Option A: The portfolio contains the following stocks: SMST weighted by : [1.0].     Option B: The portfolio contains the following stocks: ACP weighted by : [1.0].     Option C: The portfolio contains the following stocks: VEA weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SMST weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: ACP weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: VEA weighted by : [1.0]. ']",B,"Option A: The historical stock value data of SMST for the past 14 hours is: [22.33, 22.76, 23.25, 23.11, 23.55, 23.41, 23.62, 21.63, 21.77, 20.39, 20.6, 20.62, 20.34, 20.37]. 
Option B: The historical stock value data of ACP for the past 14 hours is: [6.45, 6.43, 6.43, 6.41, 6.42, 6.41, 6.41, 6.42, 6.41, 6.41, 6.42, 6.41, 6.43, 6.45]. 
Option C: The historical stock value data of VEA for the past 14 hours is: [50.83, 50.46, 50.33, 50.43, 50.33, 50.41, 50.39, 50.9, 50.84, 51.04, 51.06, 50.88, 50.9, 50.92]. ",external_data_mc/answer_info/answer_info_13.pkl,external_data_mc/executor_variables/executor_variables_13.pkl
14,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 13 trading hours. The options are: [Option A: The portfolio contains the following stocks: VOR, WPM weighted by : [0.704, 0.296].     Option B: The portfolio contains the following stocks: GALT, EQIX weighted by : [0.695, 0.305].     Option C: The portfolio contains the following stocks: SYLD, ABVX weighted by : [0.77, 0.23]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: VOR, WPM weighted by : [0.704, 0.296]. ', 'Option B: The portfolio contains the following stocks: GALT, EQIX weighted by : [0.695, 0.305]. ', 'Option C: The portfolio contains the following stocks: SYLD, ABVX weighted by : [0.77, 0.23]. ']",C,"Option A: The historical stock value data of VOR for the past 17 hours is: [0.83, 0.82, 0.82, 0.83, 0.82, 0.82, 0.96, 0.87, 0.88, 0.92, 0.9, 0.91, 0.91, 0.89, 0.96, 0.96, 1.03]. The historical stock value data of WPM for the past 17 hours is: [60.08, 60.15, 60.11, 60.21, 60.09, 59.88, 58.42, 58.47, 57.8, 58.2, 58.17, 58.12, 57.99, 58.5, 58.48, 58.67, 58.49]. 
Option B: The historical stock value data of GALT for the past 17 hours is: [2.46, 2.45, 2.47, 2.48, 2.44, 2.44, 2.46, 2.43, 2.44, 2.51, 2.51, 2.45, 2.46, 2.52, 2.55, 2.51, 2.57]. The historical stock value data of EQIX for the past 17 hours is: [822.29, 819.02, 819.74, 820.29, 820.03, 822.06, 815.47, 813.73, 811.87, 812.8, 810.36, 819.43, 818.55, 821.97, 826.09, 832.43, 831.09]. 
Option C: The historical stock value data of SYLD for the past 17 hours is: [69.03, 69.11, 69.01, 69.25, 68.96, 68.97, 68.65, 68.17, 68.01, 68.31, 68.05, 68.16, 67.97, 68.23, 68.09, 68.42, 68.56]. The historical stock value data of ABVX for the past 17 hours is: [12.32, 12.23, 12.32, 12.25, 12.26, 12.32, 12.28, 12.12, 11.94, 12.08, 12.1, 12.22, 12.35, 12.24, 12.25, 12.07, 12.01]. ",external_data_mc/answer_info/answer_info_14.pkl,external_data_mc/executor_variables/executor_variables_14.pkl
15,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 19 trading days. The options are: [Option A: The portfolio contains the following stocks: GATO, DNP, SSBK, TMUS weighted by : [0.322, 0.402, 0.045, 0.231].     Option B: The portfolio contains the following stocks: CMPX, MUST, SPDW, BKD weighted by : [0.17, 0.466, 0.168, 0.197].     Option C: The portfolio contains the following stocks: IKT, DXYN, CFLT, PFN weighted by : [0.361, 0.243, 0.141, 0.254]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: GATO, DNP, SSBK, TMUS weighted by : [0.322, 0.402, 0.045, 0.231]. ', 'Option B: The portfolio contains the following stocks: CMPX, MUST, SPDW, BKD weighted by : [0.17, 0.466, 0.168, 0.197]. ', 'Option C: The portfolio contains the following stocks: IKT, DXYN, CFLT, PFN weighted by : [0.361, 0.243, 0.141, 0.254]. ']",B,"Option A: The historical stock value data of GATO for the past 94 days is: [7.37, 7.18, 7.11, 6.89, 6.57, 6.66, 6.2, 6.2, 6.12, 6.0, 6.08, 5.97, 6.07, 6.43, 6.35, 6.38, 6.32, 6.2, 6.24, 6.15, 5.61, 5.49, 5.53, 5.36, 5.37, 5.28, 5.28, 5.13, 5.23, 5.05, 4.88, 4.71, 4.52, 4.5, 4.72, 4.57, 4.56, 4.6, 4.5, 4.43, 4.31, 4.09, 4.07, 3.99, 4.04, 4.04, 3.91, 3.81, 3.75, 3.71, 3.81, 4.0, 3.74, 3.96, 3.78, 4.07, 4.11, 4.19, 4.19, 4.44, 4.24, 4.75, 4.89, 4.83, 4.72, 4.88, 4.94, 4.9, 4.73, 4.79, 5.0, 5.1, 4.92, 5.01, 5.19, 4.95, 4.75, 4.84, 4.88, 4.62, 4.62, 4.19, 4.36, 4.32, 4.43, 4.37, 4.05, 4.11, 4.1, 4.09, 4.12, 4.44, 4.4, 4.4]. The historical stock value data of DNP for the past 94 days is: [9.53, 9.56, 9.5, 9.41, 9.37, 9.42, 9.38, 9.42, 9.34, 9.32, 9.36, 9.72, 9.73, 9.56, 9.52, 9.43, 9.55, 9.39, 9.43, 9.46, 9.43, 9.52, 9.51, 9.4, 9.42, 9.21, 9.18, 9.18, 9.15, 9.08, 9.02, 9.1, 9.12, 9.16, 9.13, 9.22, 9.15, 9.15, 9.24, 9.26, 9.19, 9.17, 9.2, 9.19, 9.24, 9.19, 9.14, 9.09, 9.08, 9.1, 9.17, 9.18, 9.24, 9.32, 9.48, 9.44, 9.28, 9.27, 9.28, 9.39, 9.35, 9.31, 9.25, 9.2, 9.19, 9.18, 9.18, 9.27, 9.26, 9.3, 9.24, 9.24, 9.22, 9.27, 9.28, 9.22, 9.23, 9.2, 9.15, 9.13, 9.13, 9.21, 9.15, 9.18, 9.16, 9.16, 9.12, 9.13, 9.15, 9.12, 9.13, 9.18, 9.19, 9.17]. The historical stock value data of SSBK for the past 94 days is: [23.79, 23.35, 23.39, 22.85, 22.94, 22.93, 22.66, 22.63, 21.76, 21.77, 21.92, 22.14, 21.42, 20.06, 20.32, 20.14, 20.29, 20.02, 20.04, 20.15, 20.04, 19.9, 20.02, 19.95, 20.1, 20.24, 19.92, 19.8, 19.81, 19.82, 19.75, 19.67, 19.77, 19.65, 19.94, 19.99, 19.51, 20.18, 21.13, 21.03, 21.12, 21.13, 21.29, 21.18, 21.61, 21.62, 21.51, 21.52, 21.42, 21.01, 21.09, 21.15, 20.97, 20.72, 20.74, 20.95, 20.85, 20.52, 20.78, 20.78, 20.82, 20.78, 21.14, 21.09, 21.35, 21.5, 21.8, 22.11, 22.11, 23.63, 23.72, 24.44, 24.63, 24.59, 24.72, 24.61, 24.59, 24.67, 24.67, 24.57, 24.57, 24.33, 24.16, 24.13, 24.05, 23.42, 23.22, 23.33, 23.05, 22.64, 22.17, 22.2, 22.22, 22.06]. The historical stock value data of TMUS for the past 94 days is: [148.07, 147.3, 148.19, 148.02, 146.51, 143.71, 143.99, 143.63, 145.74, 146.01, 147.65, 141.7, 141.02, 138.21, 137.77, 139.1, 141.37, 141.98, 139.86, 139.86, 140.52, 141.92, 142.41, 141.5, 139.42, 136.07, 136.91, 139.44, 139.21, 137.86, 133.69, 133.08, 133.05, 135.15, 136.79, 129.19, 130.2, 126.58, 124.62, 128.33, 129.35, 128.78, 127.9, 126.09, 130.73, 128.93, 129.22, 130.65, 132.29, 130.77, 132.79, 134.09, 134.19, 134.75, 136.78, 137.2, 137.43, 137.03, 136.85, 136.23, 137.88, 138.74, 138.54, 137.55, 135.89, 136.33, 135.48, 137.96, 138.75, 139.21, 140.29, 138.93, 137.74, 138.72, 135.66, 135.16, 133.7, 133.3, 132.54, 134.56, 134.18, 135.61, 135.63, 136.23, 137.37, 136.46, 136.14, 134.29, 134.06, 133.48, 133.09, 134.25, 131.28, 131.31]. 
Option B: The historical stock value data of CMPX for the past 94 days is: [3.14, 3.1, 3.21, 3.2, 3.04, 2.78, 2.91, 2.91, 2.64, 2.71, 2.81, 3.01, 3.12, 2.94, 3.0, 2.96, 3.31, 3.48, 3.4, 3.37, 3.3, 3.26, 3.32, 3.27, 3.24, 3.06, 3.17, 3.46, 3.36, 3.24, 3.09, 3.05, 2.81, 2.9, 2.96, 2.94, 3.03, 3.11, 3.22, 3.03, 3.14, 3.24, 3.29, 3.22, 3.28, 3.09, 3.36, 3.4, 3.28, 3.15, 3.18, 3.0, 3.01, 2.98, 3.18, 3.12, 3.25, 3.2, 2.92, 2.97, 2.85, 2.84, 2.85, 2.87, 2.93, 2.82, 2.68, 2.69, 2.64, 2.51, 2.52, 2.56, 2.49, 2.67, 2.87, 2.68, 2.62, 2.66, 2.52, 2.43, 2.48, 2.63, 2.57, 2.6, 2.57, 2.47, 2.41, 2.38, 2.38, 2.36, 2.45, 2.51, 2.42, 2.37]. The historical stock value data of MUST for the past 94 days is: [19.94, 19.95, 19.94, 19.85, 19.74, 19.74, 19.69, 19.76, 19.76, 19.78, 19.74, 19.74, 19.75, 19.81, 19.83, 19.86, 19.82, 19.81, 19.81, 19.81, 19.85, 19.87, 19.84, 19.79, 19.78, 19.65, 19.53, 19.58, 19.56, 19.54, 19.49, 19.49, 19.59, 19.6, 19.64, 19.55, 19.65, 19.68, 19.64, 19.68, 19.67, 19.66, 19.65, 19.63, 19.69, 19.72, 19.78, 19.72, 19.68, 19.79, 19.79, 19.74, 19.76, 19.74, 19.78, 19.75, 19.71, 19.61, 19.68, 19.7, 19.68, 19.73, 19.79, 19.8, 19.78, 19.81, 19.87, 19.9, 19.89, 19.9, 19.89, 19.89, 19.86, 19.87, 19.88, 19.79, 19.67, 19.57, 19.68, 19.63, 19.7, 19.67, 19.63, 19.6, 19.63, 19.62, 19.59, 19.48, 19.6, 19.48, 19.47, 19.5, 19.46, 19.45]. The historical stock value data of SPDW for the past 94 days is: [31.55, 31.41, 31.37, 31.54, 31.38, 31.39, 31.47, 31.54, 31.04, 31.01, 31.41, 31.46, 31.42, 31.09, 31.12, 31.09, 31.58, 31.59, 31.48, 31.43, 31.29, 31.22, 31.49, 31.16, 31.34, 31.3, 31.45, 31.49, 31.06, 30.64, 30.57, 30.85, 30.58, 30.29, 30.75, 31.21, 31.04, 31.32, 31.04, 31.33, 31.34, 31.48, 31.78, 31.87, 32.16, 32.06, 31.65, 31.68, 31.5, 31.0, 31.06, 31.32, 31.35, 31.29, 31.64, 31.73, 31.38, 30.81, 31.08, 31.17, 31.46, 32.05, 32.55, 32.35, 32.34, 32.56, 32.56, 32.36, 32.4, 32.37, 32.44, 32.5, 32.39, 32.61, 32.65, 32.29, 31.68, 31.57, 31.67, 31.9, 31.66, 31.7, 31.79, 31.59, 31.46, 31.04, 30.79, 30.6, 30.57, 30.67, 30.62, 30.94, 30.55, 30.75]. The historical stock value data of BKD for the past 94 days is: [4.16, 4.06, 4.25, 4.27, 4.22, 4.23, 4.27, 4.34, 4.22, 4.21, 4.25, 4.29, 4.22, 3.93, 3.92, 3.87, 3.94, 3.99, 3.95, 4.05, 3.85, 3.72, 3.69, 3.6, 3.75, 3.73, 3.68, 3.7, 3.72, 3.55, 3.42, 3.43, 3.43, 3.45, 3.39, 3.59, 3.54, 3.71, 4.01, 4.04, 4.1, 4.08, 4.23, 4.19, 4.1, 4.06, 4.01, 4.01, 3.98, 3.9, 4.01, 4.12, 4.15, 4.2, 4.22, 4.25, 4.2, 4.08, 4.23, 4.25, 4.31, 3.79, 3.85, 3.77, 3.65, 3.67, 3.65, 3.6, 3.56, 3.56, 3.5, 3.53, 3.48, 3.49, 3.52, 3.75, 3.78, 3.85, 3.76, 3.79, 4.59, 4.5, 4.23, 4.21, 4.17, 4.07, 4.19, 4.12, 4.16, 4.05, 4.16, 4.24, 4.29, 4.2]. 
Option C: The historical stock value data of IKT for the past 94 days is: [3.48, 3.46, 3.49, 3.47, 3.46, 3.66, 3.72, 3.48, 3.58, 3.3, 3.17, 3.35, 3.3, 3.26, 3.19, 3.4, 3.88, 3.78, 3.67, 3.66, 3.71, 3.68, 3.96, 3.91, 3.96, 3.76, 3.84, 3.95, 3.78, 3.84, 3.65, 3.7, 3.78, 4.13, 4.24, 4.27, 4.32, 4.18, 4.2, 4.16, 4.1, 4.12, 3.94, 3.75, 3.78, 3.67, 3.66, 3.59, 3.94, 4.04, 4.08, 4.18, 3.72, 3.66, 3.61, 3.56, 2.99, 2.79, 2.95, 2.95, 2.94, 2.92, 2.96, 2.82, 2.68, 2.66, 2.68, 2.82, 2.73, 2.6, 2.56, 2.53, 2.49, 2.43, 2.52, 2.53, 2.53, 2.53, 2.49, 2.39, 2.4, 2.43, 2.5, 2.46, 2.49, 2.34, 2.25, 2.31, 2.17, 2.28, 2.04, 2.21, 2.12, 2.11]. The historical stock value data of DXYN for the past 94 days is: [0.72, 0.72, 0.71, 0.75, 0.73, 0.72, 0.72, 0.72, 0.74, 0.72, 0.72, 0.76, 0.7, 0.7, 0.7, 0.78, 0.83, 0.98, 0.93, 0.98, 1.02, 1.01, 0.95, 0.95, 0.95, 0.82, 0.9, 0.91, 0.89, 0.9, 0.9, 0.97, 1.05, 0.95, 1.03, 1.17, 1.22, 1.27, 1.25, 1.2, 1.21, 1.22, 1.21, 1.23, 1.24, 1.33, 1.33, 1.28, 1.28, 1.16, 1.19, 1.19, 1.19, 1.29, 1.33, 1.3, 1.26, 1.21, 1.28, 1.22, 1.11, 1.16, 1.23, 1.21, 1.21, 1.24, 1.25, 1.25, 1.23, 1.18, 1.15, 1.14, 1.07, 1.12, 1.05, 1.03, 1.06, 1.15, 1.17, 1.1, 1.05, 1.05, 0.98, 1.02, 1.0, 0.96, 1.0, 0.99, 0.89, 0.94, 0.92, 0.95, 0.93, 0.93]. The historical stock value data of CFLT for the past 94 days is: [25.12, 24.85, 24.29, 24.71, 25.0, 23.63, 24.53, 22.7, 21.23, 22.82, 23.02, 22.0, 21.61, 20.5, 19.96, 23.2, 22.66, 22.68, 22.45, 23.16, 23.6, 22.82, 24.03, 24.35, 26.79, 27.38, 27.38, 28.47, 28.88, 28.86, 27.99, 28.71, 30.84, 31.74, 32.41, 34.56, 35.44, 36.93, 34.43, 34.77, 36.38, 36.78, 37.14, 34.57, 34.49, 34.69, 33.72, 34.72, 34.46, 33.13, 32.73, 33.73, 35.54, 34.34, 35.31, 34.24, 34.25, 33.76, 33.78, 35.03, 35.98, 35.82, 36.96, 36.47, 37.38, 37.8, 39.27, 37.33, 36.99, 36.05, 36.82, 34.76, 34.06, 34.45, 34.54, 33.2, 31.02, 36.06, 34.89, 34.48, 34.6, 33.76, 33.78, 34.0, 33.44, 33.16, 32.85, 31.96, 32.15, 32.49, 32.42, 33.88, 32.38, 32.42]. The historical stock value data of PFN for the past 94 days is: [6.01, 5.97, 5.95, 5.94, 5.88, 5.85, 5.88, 5.9, 5.88, 5.89, 5.9, 5.92, 5.94, 5.91, 5.94, 5.93, 5.98, 5.98, 5.94, 5.96, 5.94, 5.91, 5.92, 5.86, 5.9, 5.89, 5.94, 5.9, 5.88, 5.83, 5.83, 5.88, 5.91, 5.94, 6.11, 6.13, 6.13, 6.17, 6.11, 6.12, 6.06, 6.13, 6.1, 6.15, 6.08, 6.06, 6.04, 6.13, 6.14, 6.2, 6.19, 6.11, 6.19, 6.21, 6.2, 6.24, 6.25, 6.23, 6.23, 6.24, 6.25, 6.24, 6.19, 6.17, 6.09, 6.1, 6.1, 6.12, 6.07, 6.18, 6.21, 6.2, 6.2, 6.25, 6.22, 6.22, 6.21, 6.21, 6.26, 6.3, 6.26, 6.26, 6.23, 6.28, 6.2, 6.2, 6.13, 6.12, 6.03, 6.05, 6.03, 6.06, 6.03, 5.99]. ",external_data_mc/answer_info/answer_info_15.pkl,external_data_mc/executor_variables/executor_variables_15.pkl
16,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 23 trading days. The options are: [Option A: The portfolio contains the following stocks: UTRE, YHGJ, VRTX weighted by : [0.377, 0.14, 0.483].     Option B: The portfolio contains the following stocks: GGN, HERO, KZIA weighted by : [0.367, 0.317, 0.316].     Option C: The portfolio contains the following stocks: TATT, NBR, KNDI weighted by : [0.441, 0.301, 0.258]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: UTRE, YHGJ, VRTX weighted by : [0.377, 0.14, 0.483]. ', 'Option B: The portfolio contains the following stocks: GGN, HERO, KZIA weighted by : [0.367, 0.317, 0.316]. ', 'Option C: The portfolio contains the following stocks: TATT, NBR, KNDI weighted by : [0.441, 0.301, 0.258]. ']",A,"Option A: The historical stock value data of UTRE for the past 54 days is: [46.69, 46.64, 46.68, 46.64, 46.81, 46.81, 46.86, 46.83, 46.76, 46.66, 46.6, 46.59, 46.55, 46.6, 46.63, 46.54, 46.5, 46.64, 46.61, 46.55, 46.6, 46.77, 46.76, 46.83, 46.78, 46.7, 46.6, 46.7, 46.69, 46.68, 46.66, 46.7, 46.68, 46.64, 46.62, 46.55, 46.5, 46.5, 46.57, 46.54, 46.54, 46.47, 46.58, 46.6, 46.51, 46.43, 46.56, 46.62, 46.55, 46.76, 46.72, 46.71, 46.61, 46.67]. The historical stock value data of YHGJ for the past 54 days is: [1.85, 1.87, 1.88, 1.9, 1.85, 1.84, 1.36, 1.51, 1.71, 1.73, 1.88, 1.82, 1.88, 1.86, 1.91, 1.96, 1.93, 1.93, 1.93, 1.92, 1.9, 1.9, 2.0, 1.97, 1.96, 1.75, 1.86, 1.72, 1.72, 1.64, 1.7, 1.61, 1.68, 1.82, 2.0, 2.08, 2.02, 1.97, 2.4, 2.43, 2.42, 2.5, 2.61, 2.65, 2.61, 2.64, 2.61, 2.63, 2.68, 2.75, 2.72, 2.71, 2.69, 2.61]. The historical stock value data of VRTX for the past 54 days is: [352.34, 347.74, 358.4, 347.74, 340.48, 345.32, 344.47, 345.11, 347.38, 349.86, 349.37, 349.78, 343.41, 343.87, 344.82, 350.74, 350.4, 350.6, 346.77, 350.06, 351.6, 351.26, 350.76, 348.34, 351.1, 348.26, 344.32, 343.96, 343.05, 347.22, 346.55, 346.84, 349.42, 348.9, 352.0, 358.26, 352.31, 354.28, 349.53, 350.67, 351.69, 349.65, 352.5, 347.74, 347.83, 345.15, 352.97, 355.14, 360.62, 355.2, 360.57, 365.25, 368.0, 371.0]. 
Option B: The historical stock value data of GGN for the past 54 days is: [3.42, 3.41, 3.38, 3.35, 3.36, 3.36, 3.36, 3.41, 3.38, 3.4, 3.4, 3.36, 3.32, 3.29, 3.29, 3.32, 3.35, 3.38, 3.37, 3.39, 3.39, 3.43, 3.44, 3.42, 3.42, 3.42, 3.4, 3.39, 3.41, 3.45, 3.42, 3.38, 3.45, 3.42, 3.44, 3.46, 3.45, 3.43, 3.41, 3.41, 3.37, 3.37, 3.37, 3.34, 3.28, 3.23, 3.21, 3.22, 3.28, 3.35, 3.38, 3.38, 3.34, 3.41]. The historical stock value data of HERO for the past 54 days is: [21.27, 20.98, 20.36, 20.38, 20.34, 20.23, 19.94, 19.54, 19.81, 19.68, 19.71, 19.45, 19.19, 19.02, 18.94, 19.03, 19.13, 19.31, 18.92, 19.07, 19.19, 19.6, 19.55, 19.66, 19.75, 19.53, 19.48, 19.35, 19.24, 19.49, 19.36, 19.13, 19.31, 19.14, 19.07, 18.93, 18.6, 18.15, 18.38, 18.46, 18.23, 18.24, 18.25, 18.5, 18.24, 18.02, 18.04, 18.09, 18.37, 18.35, 18.64, 18.64, 18.45, 18.21]. The historical stock value data of KZIA for the past 54 days is: [1.01, 1.09, 1.04, 1.06, 1.09, 1.02, 0.98, 0.99, 0.98, 0.96, 0.95, 0.9, 0.93, 0.9, 0.91, 0.91, 0.9, 0.88, 0.86, 0.85, 0.9, 0.89, 0.89, 0.91, 0.97, 1.01, 1.12, 1.1, 1.05, 1.06, 1.01, 1.03, 1.03, 1.01, 1.0, 1.04, 1.01, 1.0, 1.03, 1.03, 1.0, 1.03, 1.05, 1.0, 0.99, 0.92, 0.91, 0.95, 0.95, 0.95, 0.95, 0.8, 0.75, 0.68]. 
Option C: The historical stock value data of TATT for the past 54 days is: [7.33, 7.36, 7.2, 7.41, 7.27, 7.28, 7.59, 7.67, 7.34, 7.45, 7.23, 7.37, 7.61, 7.45, 7.27, 7.38, 7.37, 7.76, 7.7, 7.62, 7.68, 7.75, 8.21, 8.44, 8.33, 8.72, 8.7, 8.54, 8.35, 8.65, 8.56, 8.73, 8.85, 8.76, 8.99, 8.82, 8.86, 8.95, 9.0, 8.91, 8.99, 8.73, 8.53, 8.6, 8.68, 8.6, 8.43, 8.32, 8.34, 8.4, 8.24, 8.47, 8.17, 7.9]. The historical stock value data of NBR for the past 54 days is: [122.49, 119.97, 118.11, 119.75, 118.12, 116.56, 117.05, 116.87, 114.46, 114.38, 112.6, 108.48, 107.76, 107.44, 109.42, 110.12, 109.26, 108.72, 108.07, 108.46, 110.7, 112.17, 111.96, 110.69, 121.14, 122.09, 121.79, 121.08, 124.23, 124.36, 130.8, 130.77, 135.9, 136.4, 138.38, 133.99, 129.34, 123.5, 122.92, 124.97, 121.15, 128.66, 127.43, 123.14, 116.39, 116.62, 109.17, 104.86, 107.05, 112.88, 114.27, 116.58, 115.48, 118.35]. The historical stock value data of KNDI for the past 54 days is: [3.67, 3.6, 3.53, 3.54, 3.57, 3.61, 3.68, 3.62, 3.74, 3.68, 3.53, 3.47, 3.4, 3.43, 3.3, 3.26, 3.27, 3.26, 3.2, 3.11, 3.14, 3.19, 3.23, 3.18, 3.27, 3.3, 3.34, 3.23, 3.2, 3.31, 3.26, 3.28, 3.39, 3.38, 3.42, 3.45, 3.49, 3.49, 3.46, 3.46, 3.47, 3.51, 3.43, 3.46, 3.42, 3.49, 3.46, 3.51, 3.57, 3.55, 3.6, 3.66, 3.64, 3.61]. ",external_data_mc/answer_info/answer_info_16.pkl,external_data_mc/executor_variables/executor_variables_16.pkl
17,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 9 trading hours. The options are: [Option A: The portfolio contains the following stocks: LIDR, ALEX, COCO, MSGS weighted by : [0.038, 0.517, 0.339, 0.106].     Option B: The portfolio contains the following stocks: VRNT, DEI, DRLL, BFS weighted by : [0.087, 0.444, 0.185, 0.284].     Option C: The portfolio contains the following stocks: VRSN, OMF, CPF, ATER weighted by : [0.259, 0.177, 0.295, 0.269]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: LIDR, ALEX, COCO, MSGS weighted by : [0.038, 0.517, 0.339, 0.106]. ', 'Option B: The portfolio contains the following stocks: VRNT, DEI, DRLL, BFS weighted by : [0.087, 0.444, 0.185, 0.284]. ', 'Option C: The portfolio contains the following stocks: VRSN, OMF, CPF, ATER weighted by : [0.259, 0.177, 0.295, 0.269]. ']",A,"Option A: The historical stock value data of LIDR for the past 13 hours is: [1.1, 1.11, 1.09, 1.1, 1.1, 1.1, 1.08, 1.08, 1.09, 1.1, 1.08, 1.09, 1.09]. The historical stock value data of ALEX for the past 13 hours is: [19.63, 19.43, 19.42, 19.43, 19.44, 19.37, 19.34, 19.15, 19.06, 19.06, 19.2, 19.17, 19.18]. The historical stock value data of COCO for the past 13 hours is: [24.93, 24.85, 24.63, 24.39, 24.41, 24.44, 24.51, 24.86, 24.94, 24.94, 24.99, 25.01, 25.0]. The historical stock value data of MSGS for the past 13 hours is: [206.06, 203.49, 203.43, 203.5, 204.12, 203.38, 204.59, 203.2, 201.39, 200.98, 201.1, 201.34, 202.74]. 
Option B: The historical stock value data of VRNT for the past 13 hours is: [25.96, 26.56, 26.81, 26.99, 26.69, 26.83, 26.54, 26.45, 26.21, 26.07, 26.16, 26.22, 26.27]. The historical stock value data of DEI for the past 13 hours is: [15.98, 15.86, 15.84, 15.81, 15.86, 15.85, 15.78, 15.63, 15.56, 15.56, 15.63, 15.55, 15.58]. The historical stock value data of DRLL for the past 13 hours is: [28.07, 28.08, 27.94, 27.97, 27.96, 27.94, 27.88, 27.83, 27.71, 27.55, 27.63, 27.49, 27.51]. The historical stock value data of BFS for the past 13 hours is: [40.85, 40.58, 40.75, 40.77, 40.91, 40.96, 40.87, 40.97, 40.61, 40.52, 40.61, 40.62, 40.66]. 
Option C: The historical stock value data of VRSN for the past 13 hours is: [183.38, 182.6, 182.37, 182.92, 183.48, 183.48, 183.56, 182.71, 182.62, 182.15, 181.87, 182.13, 181.77]. The historical stock value data of OMF for the past 13 hours is: [48.04, 47.71, 47.53, 47.47, 47.5, 47.5, 47.55, 47.4, 46.91, 45.9, 45.56, 44.82, 44.8]. The historical stock value data of CPF for the past 13 hours is: [27.65, 27.25, 27.31, 27.33, 27.34, 27.33, 27.2, 27.1, 26.75, 26.7, 26.83, 26.76, 26.98]. The historical stock value data of ATER for the past 13 hours is: [3.15, 3.22, 3.26, 3.24, 3.22, 3.24, 3.18, 3.21, 3.24, 3.32, 3.37, 3.48, 3.45]. ",external_data_mc/answer_info/answer_info_17.pkl,external_data_mc/executor_variables/executor_variables_17.pkl
18,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 4 trading hours. The options are: [Option A: The portfolio contains the following stocks: AP, KNX, SPUS, ZLAB weighted by : [0.27, 0.135, 0.423, 0.171].     Option B: The portfolio contains the following stocks: NTRA, NMRK, CRS, SLS weighted by : [0.022, 0.153, 0.375, 0.45].     Option C: The portfolio contains the following stocks: HST, ECAT, HR, INDB weighted by : [0.083, 0.077, 0.497, 0.343]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: AP, KNX, SPUS, ZLAB weighted by : [0.27, 0.135, 0.423, 0.171]. ', 'Option B: The portfolio contains the following stocks: NTRA, NMRK, CRS, SLS weighted by : [0.022, 0.153, 0.375, 0.45]. ', 'Option C: The portfolio contains the following stocks: HST, ECAT, HR, INDB weighted by : [0.083, 0.077, 0.497, 0.343]. ']",B,"Option A: The historical stock value data of AP for the past 15 hours is: [1.88, 1.87, 1.88, 1.87, 1.84, 1.86, 1.85, 1.86, 1.88, 1.85, 1.87, 1.87, 1.89, 1.87, 1.85]. The historical stock value data of KNX for the past 15 hours is: [51.1, 50.9, 51.08, 51.09, 50.82, 50.5, 50.47, 50.19, 50.41, 50.32, 50.48, 50.11, 50.48, 50.44, 50.78]. The historical stock value data of SPUS for the past 15 hours is: [39.39, 39.31, 39.52, 39.42, 39.4, 38.97, 38.69, 38.58, 38.69, 38.58, 38.73, 38.61, 38.91, 38.83, 39.04]. The historical stock value data of ZLAB for the past 15 hours is: [19.93, 19.73, 19.69, 19.54, 19.66, 19.55, 19.25, 19.25, 19.5, 19.63, 19.86, 19.87, 19.81, 20.11, 20.12]. 
Option B: The historical stock value data of NTRA for the past 15 hours is: [116.2, 116.15, 116.4, 117.55, 117.41, 114.13, 113.53, 111.87, 112.28, 112.54, 113.92, 112.82, 115.62, 115.64, 116.05]. The historical stock value data of NMRK for the past 15 hours is: [14.19, 14.14, 14.2, 14.18, 14.14, 13.9, 13.92, 13.94, 13.97, 13.93, 14.06, 14.03, 14.38, 14.35, 14.42]. The historical stock value data of CRS for the past 15 hours is: [136.46, 135.85, 136.28, 136.65, 136.17, 131.26, 130.31, 130.35, 131.32, 130.76, 132.4, 132.25, 135.28, 136.88, 137.77]. The historical stock value data of SLS for the past 15 hours is: [1.23, 1.23, 1.23, 1.23, 1.22, 1.21, 1.22, 1.21, 1.18, 1.17, 1.18, 1.18, 1.18, 1.21, 1.2]. 
Option C: The historical stock value data of HST for the past 15 hours is: [16.64, 16.71, 16.73, 16.72, 16.74, 16.68, 16.7, 16.73, 16.77, 16.74, 16.75, 16.73, 16.98, 16.92, 17.08]. The historical stock value data of ECAT for the past 15 hours is: [17.26, 17.3, 17.37, 17.28, 17.33, 17.27, 17.29, 17.21, 17.21, 17.11, 17.1, 17.11, 17.3, 17.26, 17.28]. The historical stock value data of HR for the past 15 hours is: [18.16, 18.14, 18.02, 18.0, 18.01, 17.96, 17.89, 17.89, 17.92, 17.9, 17.95, 17.94, 17.78, 17.74, 17.82]. The historical stock value data of INDB for the past 15 hours is: [60.88, 60.78, 61.14, 61.21, 60.97, 60.81, 60.08, 60.08, 60.15, 59.97, 60.21, 60.05, 60.18, 59.73, 59.77]. ",external_data_mc/answer_info/answer_info_18.pkl,external_data_mc/executor_variables/executor_variables_18.pkl
19,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 28 trading days. The options are: [Option A: The portfolio contains the following stocks: DDD, KA, FTSM, LNW weighted by : [0.245, 0.172, 0.084, 0.499].     Option B: The portfolio contains the following stocks: IFN, TVTX, STRV, PAYS weighted by : [0.301, 0.182, 0.166, 0.35].     Option C: The portfolio contains the following stocks: VVX, CBL, UDI, DOW weighted by : [0.262, 0.287, 0.364, 0.086]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: DDD, KA, FTSM, LNW weighted by : [0.245, 0.172, 0.084, 0.499]. ', 'Option B: The portfolio contains the following stocks: IFN, TVTX, STRV, PAYS weighted by : [0.301, 0.182, 0.166, 0.35]. ', 'Option C: The portfolio contains the following stocks: VVX, CBL, UDI, DOW weighted by : [0.262, 0.287, 0.364, 0.086]. ']",C,"Option A: The historical stock value data of DDD for the past 41 days is: [4.23, 4.06, 4.23, 4.14, 3.96, 3.87, 4.12, 4.49, 4.28, 4.41, 4.44, 4.11, 4.41, 3.93, 3.68, 3.56, 3.71, 3.73, 3.66, 4.07, 4.38, 4.24, 4.22, 4.33, 4.14, 4.19, 4.19, 4.68, 4.54, 4.45, 4.84, 4.83, 4.64, 4.64, 5.38, 5.31, 5.37, 5.33, 5.34, 5.8, 5.72]. The historical stock value data of KA for the past 41 days is: [3.12, 3.32, 3.74, 3.62, 3.65, 3.62, 3.62, 3.69, 3.48, 3.58, 3.65, 3.39, 3.49, 3.51, 3.45, 3.44, 3.9, 4.24, 4.29, 4.39, 4.18, 4.42, 4.12, 3.98, 4.15, 3.62, 3.4, 3.45, 3.49, 3.25, 3.66, 3.15, 3.12, 3.11, 3.15, 3.1, 3.28, 3.5, 3.87, 4.1, 4.28]. The historical stock value data of FTSM for the past 41 days is: [56.83, 56.86, 56.86, 56.86, 56.89, 56.92, 56.91, 56.9, 56.9, 56.93, 56.94, 56.97, 56.97, 56.96, 57.01, 57.01, 57.03, 57.02, 57.04, 57.08, 57.1, 57.1, 57.11, 57.1, 57.12, 57.12, 57.14, 57.19, 57.18, 57.2, 57.21, 57.23, 57.24, 57.26, 57.27, 57.29, 57.34, 57.35, 57.37, 57.41, 57.42]. The historical stock value data of LNW for the past 41 days is: [70.95, 72.85, 72.42, 72.92, 72.17, 76.25, 75.25, 75.58, 74.87, 74.98, 74.58, 74.84, 78.01, 73.97, 73.1, 72.85, 73.34, 73.11, 72.73, 75.02, 78.42, 79.5, 79.64, 79.75, 78.07, 86.82, 86.48, 86.83, 85.43, 85.33, 86.2, 86.11, 85.94, 87.39, 87.27, 86.95, 87.09, 86.9, 88.42, 88.39, 87.85]. 
Option B: The historical stock value data of IFN for the past 41 days is: [15.47, 15.36, 15.56, 15.65, 15.59, 15.6, 15.64, 15.63, 15.4, 15.36, 15.07, 14.71, 14.63, 14.37, 14.13, 14.31, 14.47, 14.65, 14.81, 15.16, 15.22, 15.31, 15.36, 15.32, 15.21, 15.3, 15.42, 15.64, 15.5, 15.85, 16.01, 15.99, 15.9, 15.86, 15.67, 15.53, 15.62, 15.71, 15.81, 15.96, 16.12]. The historical stock value data of TVTX for the past 41 days is: [7.6, 7.12, 7.69, 7.58, 6.95, 7.1, 7.17, 7.3, 6.81, 7.05, 7.23, 7.03, 7.37, 6.97, 6.9, 6.8, 6.76, 6.48, 6.72, 6.58, 6.97, 6.64, 7.18, 6.33, 5.44, 5.58, 5.7, 6.09, 6.17, 6.01, 5.85, 5.75, 5.65, 5.72, 5.89, 5.89, 6.0, 6.39, 6.28, 6.42, 6.29]. The historical stock value data of STRV for the past 41 days is: [27.29, 27.47, 27.61, 27.73, 27.56, 27.43, 27.7, 27.71, 27.33, 27.1, 26.76, 26.69, 26.91, 26.52, 26.2, 26.09, 26.4, 26.56, 26.85, 27.37, 27.62, 27.68, 27.78, 27.8, 27.58, 28.02, 28.0, 28.53, 28.58, 28.62, 28.66, 28.89, 28.83, 28.94, 28.97, 28.92, 28.96, 28.95, 29.06, 29.23, 29.07]. The historical stock value data of PAYS for the past 41 days is: [1.85, 1.84, 1.84, 1.81, 1.79, 1.8, 1.78, 1.79, 1.72, 1.73, 1.75, 1.69, 1.71, 1.7, 1.72, 1.73, 1.79, 1.84, 1.8, 1.92, 1.98, 1.99, 2.07, 2.35, 2.2, 2.42, 2.42, 2.48, 2.45, 2.4, 2.44, 2.43, 2.4, 2.34, 2.41, 2.39, 2.37, 2.37, 2.35, 2.37, 2.31]. 
Option C: The historical stock value data of VVX for the past 41 days is: [53.26, 54.76, 54.31, 54.48, 53.55, 52.81, 53.59, 54.24, 53.11, 52.25, 50.82, 50.09, 50.03, 50.05, 50.69, 50.01, 50.53, 51.07, 51.46, 51.69, 51.44, 40.73, 42.39, 41.6, 40.68, 41.86, 43.0, 43.75, 43.33, 42.73, 42.4, 41.9, 42.36, 43.1, 44.44, 43.57, 43.04, 42.5, 42.4, 44.03, 44.39]. The historical stock value data of CBL for the past 41 days is: [19.8, 19.91, 19.66, 19.28, 19.68, 19.45, 19.64, 19.72, 19.66, 19.28, 19.17, 18.91, 19.18, 18.95, 18.95, 18.79, 19.02, 19.37, 19.52, 19.79, 20.26, 20.02, 20.0, 20.07, 19.99, 20.37, 20.68, 21.42, 21.17, 21.12, 21.23, 21.34, 21.41, 21.61, 21.69, 21.68, 21.62, 21.79, 21.96, 22.05, 22.28]. The historical stock value data of UDI for the past 41 days is: [23.22, 23.36, 23.46, 23.44, 23.33, 23.28, 23.56, 23.62, 23.31, 23.06, 22.85, 22.72, 22.9, 22.67, 22.59, 22.23, 22.47, 22.6, 22.74, 23.17, 23.52, 23.43, 23.37, 23.35, 23.15, 23.4, 23.32, 23.72, 23.84, 23.69, 23.83, 23.96, 23.89, 23.95, 24.03, 23.9, 23.84, 23.94, 24.14, 24.43, 24.54]. The historical stock value data of DOW for the past 41 days is: [47.76, 48.26, 48.73, 48.34, 47.73, 47.23, 47.67, 48.18, 47.57, 46.97, 46.53, 45.82, 46.77, 45.15, 45.61, 45.69, 45.91, 45.91, 45.79, 46.53, 47.23, 46.86, 46.09, 45.88, 45.93, 47.0, 46.77, 48.49, 48.94, 48.86, 49.1, 49.09, 49.13, 48.82, 49.08, 48.55, 49.1, 49.42, 49.83, 50.36, 50.16]. ",external_data_mc/answer_info/answer_info_19.pkl,external_data_mc/executor_variables/executor_variables_19.pkl
20,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 4 trading hours. The options are: [Option A: The portfolio contains the following stocks: KOLD weighted by : [1.0].     Option B: The portfolio contains the following stocks: GCI weighted by : [1.0].     Option C: The portfolio contains the following stocks: IJH weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: KOLD weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: GCI weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: IJH weighted by : [1.0]. ']",C,"Option A: The historical stock value data of KOLD for the past 13 hours is: [72.29, 72.06, 72.14, 71.3, 72.8, 72.2, 71.54, 71.44, 70.81, 70.91, 75.67, 75.92, 73.81]. 
Option B: The historical stock value data of GCI for the past 13 hours is: [4.86, 4.88, 4.79, 4.59, 4.64, 4.58, 4.59, 4.55, 4.55, 4.57, 4.51, 4.42, 4.41]. 
Option C: The historical stock value data of IJH for the past 13 hours is: [59.78, 59.73, 59.69, 59.26, 58.91, 58.82, 59.01, 58.88, 59.02, 58.89, 59.22, 59.2, 59.42]. ",external_data_mc/answer_info/answer_info_20.pkl,external_data_mc/executor_variables/executor_variables_20.pkl
21,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 8 trading hours. The options are: [Option A: The portfolio contains the following stocks: VAW, ARKB weighted by : [0.47, 0.53].     Option B: The portfolio contains the following stocks: NAVI, TYD weighted by : [0.123, 0.877].     Option C: The portfolio contains the following stocks: EOI, NRC weighted by : [0.335, 0.665]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: VAW, ARKB weighted by : [0.47, 0.53]. ', 'Option B: The portfolio contains the following stocks: NAVI, TYD weighted by : [0.123, 0.877]. ', 'Option C: The portfolio contains the following stocks: EOI, NRC weighted by : [0.335, 0.665]. ']",B,"Option A: The historical stock value data of VAW for the past 16 hours is: [198.26, 198.81, 198.4, 198.38, 197.01, 197.01, 195.98, 196.74, 195.96, 196.09, 195.98, 197.84, 197.54, 198.24, 198.37, 197.95]. The historical stock value data of ARKB for the past 16 hours is: [56.15, 56.53, 56.16, 55.97, 54.74, 54.06, 53.94, 54.12, 53.6, 53.48, 53.38, 55.06, 55.15, 56.12, 56.55, 56.47]. 
Option B: The historical stock value data of NAVI for the past 16 hours is: [15.95, 15.99, 15.96, 15.99, 15.91, 15.88, 15.85, 15.9, 15.81, 15.9, 15.84, 15.64, 15.64, 15.69, 15.59, 15.59]. The historical stock value data of TYD for the past 16 hours is: [28.72, 28.74, 28.7, 28.72, 28.86, 29.11, 28.85, 28.82, 28.86, 28.8, 28.82, 28.83, 28.84, 28.87, 28.95, 28.9]. 
Option C: The historical stock value data of EOI for the past 16 hours is: [19.08, 19.12, 19.12, 19.12, 19.03, 18.9, 18.88, 18.89, 18.87, 18.86, 18.89, 19.05, 19.02, 19.14, 19.14, 19.03]. The historical stock value data of NRC for the past 16 hours is: [21.88, 21.96, 21.75, 21.66, 21.73, 22.0, 21.62, 21.77, 21.81, 22.07, 21.72, 21.91, 21.68, 21.51, 21.54, 21.5]. ",external_data_mc/answer_info/answer_info_21.pkl,external_data_mc/executor_variables/executor_variables_21.pkl
22,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 24 trading days. The options are: [Option A: The portfolio contains the following stocks: IGLB, VECO, ATMV, FTNT weighted by : [0.237, 0.535, 0.153, 0.074].     Option B: The portfolio contains the following stocks: SMH, ICLN, MPV, LPRO weighted by : [0.422, 0.204, 0.235, 0.138].     Option C: The portfolio contains the following stocks: MNSBP, ASTH, MAT, ABEQ weighted by : [0.182, 0.296, 0.262, 0.26]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: IGLB, VECO, ATMV, FTNT weighted by : [0.237, 0.535, 0.153, 0.074]. ', 'Option B: The portfolio contains the following stocks: SMH, ICLN, MPV, LPRO weighted by : [0.422, 0.204, 0.235, 0.138]. ', 'Option C: The portfolio contains the following stocks: MNSBP, ASTH, MAT, ABEQ weighted by : [0.182, 0.296, 0.262, 0.26]. ']",C,"Option A: The historical stock value data of IGLB for the past 38 days is: [47.75, 47.75, 48.18, 48.45, 48.08, 47.6, 47.33, 47.38, 47.09, 46.97, 46.92, 47.04, 46.84, 46.7, 47.06, 47.4, 47.68, 47.87, 47.68, 47.56, 47.73, 47.15, 47.61, 47.54, 47.73, 47.47, 47.72, 48.22, 48.16, 48.41, 48.38, 48.03, 48.22, 48.23, 48.18, 48.43, 47.91, 48.45]. The historical stock value data of VECO for the past 38 days is: [19.25, 20.26, 20.81, 20.71, 20.77, 21.63, 22.48, 22.12, 22.9, 22.82, 23.01, 22.74, 22.51, 23.3, 24.59, 24.28, 24.41, 24.85, 25.08, 24.6, 25.14, 25.4, 25.22, 25.13, 25.02, 25.44, 25.07, 24.73, 24.83, 25.18, 24.89, 24.91, 24.21, 24.31, 25.28, 25.02, 25.58, 25.68]. The historical stock value data of ATMV for the past 38 days is: [10.27, 10.27, 10.27, 10.27, 10.27, 10.3, 10.31, 10.32, 10.33, 10.34, 10.34, 10.34, 10.35, 10.35, 10.35, 10.36, 10.37, 10.39, 10.37, 10.41, 10.37, 10.37, 10.37, 10.37, 10.31, 10.31, 10.31, 10.31, 10.32, 10.32, 10.35, 10.35, 10.35, 10.38, 10.45, 10.48, 10.48, 10.48]. The historical stock value data of FTNT for the past 38 days is: [66.08, 66.4, 67.01, 67.5, 67.77, 68.56, 68.31, 68.43, 68.14, 69.63, 69.52, 68.09, 66.59, 67.17, 67.77, 68.54, 68.33, 68.64, 68.13, 71.27, 69.54, 67.06, 69.0, 68.01, 69.84, 70.49, 71.48, 73.59, 72.78, 71.66, 71.11, 71.86, 71.59, 71.06, 73.66, 74.33, 75.09, 75.59]. 
Option B: The historical stock value data of SMH for the past 38 days is: [124.32, 122.4, 123.4, 122.3, 122.16, 125.36, 125.33, 128.72, 133.24, 132.5, 132.39, 130.48, 128.57, 139.62, 146.48, 147.18, 143.47, 145.62, 145.26, 143.45, 144.46, 143.63, 145.29, 145.96, 150.27, 152.35, 154.67, 153.55, 152.46, 151.92, 148.45, 149.18, 146.65, 145.97, 150.6, 149.24, 149.02, 151.34]. The historical stock value data of ICLN for the past 38 days is: [18.19, 18.08, 18.19, 18.11, 18.67, 18.84, 18.45, 18.55, 18.34, 18.24, 18.44, 18.26, 18.18, 18.16, 18.11, 18.15, 17.96, 18.28, 18.38, 18.31, 18.32, 18.26, 18.31, 18.23, 18.43, 18.45, 18.3, 18.6, 18.49, 18.11, 18.01, 17.82, 17.52, 17.56, 17.72, 17.77, 17.69, 18.14]. The historical stock value data of MPV for the past 38 days is: [10.19, 10.24, 10.25, 9.8, 9.98, 10.06, 10.04, 10.18, 10.49, 10.74, 10.96, 11.25, 11.24, 10.74, 10.96, 10.92, 10.97, 10.87, 11.04, 10.88, 11.02, 11.34, 11.53, 11.41, 11.69, 11.69, 11.82, 11.86, 11.81, 11.67, 11.47, 11.59, 11.58, 11.65, 11.68, 11.53, 11.48, 11.47]. The historical stock value data of LPRO for the past 38 days is: [7.44, 7.57, 9.43, 9.6, 9.51, 9.63, 9.41, 9.54, 9.69, 9.69, 9.99, 9.73, 9.84, 9.99, 10.19, 10.11, 10.14, 10.37, 10.57, 10.54, 10.85, 10.8, 10.77, 10.53, 10.8, 10.89, 10.71, 10.76, 10.5, 10.32, 10.34, 10.36, 10.12, 9.97, 10.21, 10.29, 10.52, 10.51]. 
Option C: The historical stock value data of MNSBP for the past 38 days is: [18.98, 19.02, 18.49, 18.49, 18.8, 19.28, 18.59, 18.66, 19.46, 19.46, 19.22, 19.77, 19.77, 19.77, 20.61, 20.61, 19.46, 19.5, 19.46, 19.46, 19.46, 19.9, 20.79, 20.79, 20.81, 20.12, 20.77, 20.77, 20.77, 20.37, 20.54, 20.54, 20.73, 19.53, 20.4, 20.4, 20.4, 20.77]. The historical stock value data of ASTH for the past 38 days is: [34.98, 31.83, 32.62, 32.91, 33.5, 33.88, 32.89, 33.71, 33.85, 33.35, 31.55, 31.24, 31.28, 31.1, 31.27, 30.93, 31.62, 32.28, 33.74, 32.44, 33.59, 33.67, 33.36, 33.12, 32.9, 33.45, 31.52, 32.02, 31.12, 31.61, 31.08, 29.74, 29.68, 29.55, 31.14, 32.27, 32.41, 31.6]. The historical stock value data of MAT for the past 38 days is: [17.95, 18.18, 18.3, 18.53, 18.5, 19.2, 18.98, 18.93, 19.01, 18.55, 18.4, 18.09, 18.25, 17.86, 17.91, 17.85, 17.41, 17.53, 18.08, 17.69, 18.14, 18.25, 18.67, 18.28, 18.49, 19.03, 18.59, 18.36, 18.26, 18.13, 17.87, 17.94, 18.07, 18.14, 18.45, 18.98, 19.2, 19.54]. The historical stock value data of ABEQ for the past 38 days is: [27.9, 27.83, 27.77, 27.61, 27.59, 27.72, 27.46, 27.52, 27.53, 27.67, 27.56, 27.38, 27.17, 26.89, 26.92, 26.86, 26.76, 26.93, 27.29, 27.26, 27.29, 27.37, 27.38, 27.32, 27.31, 27.38, 27.34, 27.48, 27.55, 27.26, 27.33, 27.29, 27.21, 27.25, 27.33, 27.21, 27.39, 27.63]. ",external_data_mc/answer_info/answer_info_22.pkl,external_data_mc/executor_variables/executor_variables_22.pkl
23,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 4 trading hours. The options are: [Option A: The portfolio contains the following stocks: OCUP weighted by : [1.0].     Option B: The portfolio contains the following stocks: PAY weighted by : [1.0].     Option C: The portfolio contains the following stocks: FSV weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: OCUP weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: PAY weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: FSV weighted by : [1.0]. ']",A,"Option A: The historical stock value data of OCUP for the past 12 hours is: [1.25, 1.22, 1.21, 1.2, 1.19, 1.2, 1.21, 1.2, 1.2, 1.21, 1.22, 1.19]. 
Option B: The historical stock value data of PAY for the past 12 hours is: [20.84, 20.42, 20.35, 20.41, 20.26, 20.23, 20.13, 20.45, 20.46, 20.46, 20.45, 20.48]. 
Option C: The historical stock value data of FSV for the past 12 hours is: [176.98, 176.39, 175.97, 176.45, 176.44, 176.8, 177.06, 178.23, 177.59, 178.6, 179.22, 178.1]. ",external_data_mc/answer_info/answer_info_23.pkl,external_data_mc/executor_variables/executor_variables_23.pkl
24,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 11 trading days. The options are: [Option A: The portfolio contains the following stocks: APRD, NVNO weighted by : [0.231, 0.769].     Option B: The portfolio contains the following stocks: GDV, CHEK weighted by : [0.251, 0.749].     Option C: The portfolio contains the following stocks: SRS, RL weighted by : [0.379, 0.621]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: APRD, NVNO weighted by : [0.231, 0.769]. ', 'Option B: The portfolio contains the following stocks: GDV, CHEK weighted by : [0.251, 0.749]. ', 'Option C: The portfolio contains the following stocks: SRS, RL weighted by : [0.379, 0.621]. ']",C,"Option A: The historical stock value data of APRD for the past 83 days is: [22.92, 22.89, 23.02, 23.1, 23.19, 23.28, 23.33, 23.36, 23.39, 23.39, 23.36, 23.43, 23.44, 23.48, 23.49, 23.5, 23.52, 23.55, 23.53, 23.54, 23.56, 23.56, 23.57, 23.57, 23.58, 23.6, 23.6, 23.6, 23.62, 23.63, 23.64, 23.66, 23.66, 23.68, 23.68, 23.68, 23.69, 23.69, 23.68, 23.69, 23.71, 23.71, 23.71, 23.74, 23.75, 23.75, 23.75, 23.75, 23.77, 23.78, 23.79, 23.79, 23.8, 23.81, 23.8, 23.8, 23.81, 23.83, 23.83, 23.84, 23.84, 23.85, 23.86, 23.86, 23.87, 23.88, 23.89, 23.88, 23.89, 23.89, 23.9, 23.9, 23.9, 23.91, 23.9, 23.91, 23.92, 23.93, 23.93, 23.94, 23.94, 23.95, 23.96]. The historical stock value data of NVNO for the past 83 days is: [5.15, 5.1, 4.65, 4.4, 4.45, 4.43, 4.12, 3.95, 4.03, 4.07, 4.41, 4.53, 4.25, 4.56, 4.73, 4.45, 4.19, 3.91, 3.86, 3.96, 3.8, 3.83, 3.71, 3.57, 3.46, 3.55, 3.59, 3.73, 3.71, 3.73, 3.78, 3.62, 3.62, 3.83, 3.76, 4.24, 4.42, 4.73, 4.57, 4.92, 4.9, 4.97, 5.07, 5.29, 5.14, 5.1, 4.73, 4.71, 4.83, 4.84, 4.6, 4.28, 4.12, 4.08, 4.03, 4.03, 3.94, 4.0, 4.25, 4.19, 4.19, 4.32, 4.2, 4.4, 4.53, 4.31, 4.3, 4.31, 4.1, 4.25, 4.4, 4.31, 5.12, 4.85, 4.53, 4.86, 4.9, 5.02, 5.52, 5.32, 5.54, 5.85, 6.2]. 
Option B: The historical stock value data of GDV for the past 83 days is: [17.21, 17.2, 17.37, 17.57, 17.83, 18.31, 18.47, 18.28, 18.26, 18.1, 17.86, 18.19, 18.24, 18.6, 18.66, 18.68, 18.77, 19.0, 19.05, 19.14, 19.31, 19.28, 19.29, 19.25, 19.34, 19.53, 19.59, 19.46, 19.26, 19.45, 19.47, 19.66, 19.72, 20.1, 20.29, 20.26, 20.42, 20.53, 20.31, 20.48, 20.54, 20.73, 20.73, 20.73, 20.71, 20.63, 20.49, 20.54, 20.18, 20.47, 20.4, 20.57, 20.48, 20.5, 20.4, 20.2, 20.33, 20.35, 20.34, 20.43, 20.52, 20.64, 20.67, 20.89, 20.92, 20.69, 20.83, 21.04, 20.81, 20.94, 21.14, 21.15, 21.28, 21.38, 21.03, 21.2, 21.37, 21.3, 21.52, 21.45, 21.57, 21.6, 21.39]. The historical stock value data of CHEK for the past 83 days is: [3.37, 3.45, 3.42, 3.41, 3.4, 3.43, 3.58, 3.7, 3.72, 3.63, 3.51, 3.49, 3.61, 3.55, 3.54, 3.62, 3.52, 3.46, 3.42, 3.32, 3.48, 3.21, 3.27, 2.92, 2.91, 2.87, 2.83, 2.61, 2.79, 2.72, 2.7, 2.64, 2.6, 2.6, 2.62, 2.48, 2.41, 2.36, 2.26, 2.07, 2.25, 2.24, 2.2, 2.18, 2.08, 2.01, 2.0, 2.0, 2.05, 2.09, 2.12, 2.27, 2.28, 2.19, 2.13, 2.1, 2.06, 2.23, 2.19, 2.19, 2.17, 2.14, 2.18, 2.12, 2.11, 2.1, 2.2, 2.13, 2.12, 2.1, 2.12, 2.18, 2.2, 2.17, 2.13, 2.16, 2.19, 2.14, 2.12, 2.39, 2.23, 2.26, 2.24]. 
Option C: The historical stock value data of SRS for the past 83 days is: [21.25, 21.9, 21.8, 20.93, 20.73, 19.44, 18.53, 19.07, 19.4, 19.18, 19.79, 19.34, 19.66, 17.56, 17.52, 17.53, 17.61, 17.34, 17.5, 17.38, 17.3, 17.17, 16.98, 16.74, 16.47, 15.76, 15.61, 15.78, 15.9, 15.85, 15.94, 15.84, 15.82, 14.7, 13.89, 14.23, 14.32, 14.11, 14.49, 14.27, 14.15, 13.94, 13.81, 13.66, 13.94, 13.69, 14.37, 14.43, 14.52, 14.11, 14.32, 14.32, 14.55, 14.35, 14.53, 15.09, 15.26, 15.0, 14.84, 15.01, 15.44, 15.02, 15.15, 14.97, 15.24, 15.46, 14.94, 15.3, 15.96, 15.46, 15.49, 15.31, 15.26, 15.36, 15.95, 15.72, 14.97, 15.3, 15.35, 15.14, 15.09, 15.06, 15.41]. The historical stock value data of RL for the past 83 days is: [111.7, 108.3, 110.5, 110.97, 109.9, 110.96, 113.57, 111.65, 111.29, 114.85, 114.97, 114.02, 113.76, 118.77, 122.2, 119.03, 120.06, 120.87, 120.11, 120.97, 122.81, 124.0, 124.87, 127.65, 127.58, 131.78, 127.38, 127.31, 127.68, 129.35, 129.93, 132.39, 133.46, 136.47, 139.88, 139.09, 141.6, 144.38, 143.53, 145.87, 143.45, 143.92, 143.61, 144.42, 142.93, 144.75, 141.34, 141.39, 141.67, 144.03, 141.85, 142.5, 141.28, 136.81, 136.41, 135.64, 136.79, 136.88, 138.86, 138.32, 137.81, 140.61, 142.84, 144.17, 145.18, 142.41, 145.08, 146.47, 146.14, 146.05, 145.85, 170.34, 173.47, 176.24, 173.81, 176.14, 179.57, 179.26, 181.74, 182.47, 185.49, 186.79, 185.35]. ",external_data_mc/answer_info/answer_info_24.pkl,external_data_mc/executor_variables/executor_variables_24.pkl
25,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 6 trading hours. The options are: [Option A: The portfolio contains the following stocks: ENB, MBB weighted by : [0.603, 0.397].     Option B: The portfolio contains the following stocks: SKT, CCIF weighted by : [0.521, 0.479].     Option C: The portfolio contains the following stocks: KEY, CMSD weighted by : [0.92, 0.08]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ENB, MBB weighted by : [0.603, 0.397]. ', 'Option B: The portfolio contains the following stocks: SKT, CCIF weighted by : [0.521, 0.479]. ', 'Option C: The portfolio contains the following stocks: KEY, CMSD weighted by : [0.92, 0.08]. ']",A,"Option A: The historical stock value data of ENB for the past 16 hours is: [40.69, 40.51, 40.45, 40.55, 40.44, 40.46, 40.35, 40.37, 40.25, 40.28, 40.28, 40.4, 40.39, 40.59, 40.65, 40.75]. The historical stock value data of MBB for the past 16 hours is: [95.64, 95.72, 95.75, 95.79, 95.75, 95.79, 96.03, 96.17, 95.97, 96.06, 96.06, 95.89, 95.92, 95.96, 96.03, 96.06]. 
Option B: The historical stock value data of SKT for the past 16 hours is: [31.08, 31.13, 31.11, 31.17, 31.27, 31.08, 30.94, 30.91, 30.92, 31.06, 31.15, 31.14, 31.23, 30.76, 30.71, 30.84]. The historical stock value data of CCIF for the past 16 hours is: [8.58, 8.58, 8.55, 8.54, 8.54, 8.53, 8.63, 8.66, 8.64, 8.66, 8.59, 8.58, 8.56, 8.58, 8.58, 8.58]. 
Option C: The historical stock value data of KEY for the past 16 hours is: [16.2, 16.19, 16.22, 16.28, 16.26, 16.24, 16.11, 15.94, 15.88, 15.9, 15.77, 15.8, 15.71, 16.11, 16.07, 16.23]. The historical stock value data of CMSD for the past 16 hours is: [24.93, 24.92, 24.92, 24.92, 24.88, 24.9, 25.04, 25.03, 25.02, 25.02, 25.03, 25.02, 25.02, 25.15, 25.15, 25.15]. ",external_data_mc/answer_info/answer_info_25.pkl,external_data_mc/executor_variables/executor_variables_25.pkl
26,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 22 trading days. The options are: [Option A: The portfolio contains the following stocks: SLVP, IBTK weighted by : [0.101, 0.899].     Option B: The portfolio contains the following stocks: IMO, QAT weighted by : [0.871, 0.129].     Option C: The portfolio contains the following stocks: THRY, PY weighted by : [0.556, 0.444]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SLVP, IBTK weighted by : [0.101, 0.899]. ', 'Option B: The portfolio contains the following stocks: IMO, QAT weighted by : [0.871, 0.129]. ', 'Option C: The portfolio contains the following stocks: THRY, PY weighted by : [0.556, 0.444]. ']",A,"Option A: The historical stock value data of SLVP for the past 83 days is: [9.32, 9.57, 9.79, 9.75, 9.62, 9.47, 9.16, 9.05, 8.99, 9.02, 9.09, 9.09, 9.07, 9.24, 9.48, 9.47, 9.28, 9.31, 9.07, 9.0, 8.9, 8.59, 8.47, 8.51, 8.5, 8.13, 8.19, 8.08, 8.13, 8.3, 8.43, 8.52, 8.68, 8.36, 8.84, 8.88, 9.09, 9.04, 9.02, 9.06, 8.91, 8.9, 8.78, 8.74, 8.9, 8.86, 8.63, 8.62, 8.63, 9.14, 9.03, 8.82, 8.56, 8.48, 8.35, 8.34, 8.87, 8.97, 9.16, 9.19, 9.15, 9.38, 9.27, 9.45, 9.68, 9.97, 10.07, 10.12, 10.39, 10.17, 9.97, 9.93, 9.88, 9.7, 9.66, 9.44, 10.04, 10.19, 10.13, 10.03, 10.31, 10.07, 10.29]. The historical stock value data of IBTK for the past 83 days is: [18.42, 18.46, 18.6, 18.59, 18.62, 18.56, 18.45, 18.41, 18.47, 18.47, 18.45, 18.45, 18.49, 18.45, 18.41, 18.41, 18.34, 18.32, 18.24, 18.3, 18.21, 18.19, 18.13, 18.19, 18.2, 18.08, 17.97, 18.06, 18.11, 18.01, 18.22, 18.18, 18.23, 18.11, 18.18, 18.1, 17.94, 17.88, 17.81, 17.93, 17.99, 18.0, 17.88, 17.99, 18.03, 17.97, 17.95, 18.12, 18.2, 18.34, 18.25, 18.31, 18.37, 18.22, 18.21, 18.22, 18.46, 18.36, 18.46, 18.46, 18.47, 18.51, 18.49, 18.44, 18.53, 18.62, 18.69, 18.63, 18.77, 18.7, 18.81, 18.87, 18.86, 18.73, 18.74, 18.77, 19.02, 19.14, 19.12, 19.09, 19.11, 19.21, 19.18]. 
Option B: The historical stock value data of IMO for the past 83 days is: [53.48, 53.89, 54.7, 55.19, 55.5, 56.43, 56.26, 56.59, 55.97, 56.42, 56.1, 57.06, 56.61, 58.2, 57.57, 57.26, 57.0, 56.62, 56.21, 56.91, 58.73, 58.76, 60.78, 60.65, 60.02, 58.44, 58.26, 55.74, 55.31, 55.83, 58.47, 58.83, 58.74, 59.03, 59.15, 59.47, 59.49, 59.44, 59.42, 58.28, 57.18, 56.42, 57.19, 57.3, 56.18, 56.3, 55.53, 56.53, 57.06, 56.01, 55.77, 54.55, 53.37, 53.36, 54.59, 55.25, 55.49, 55.06, 54.09, 56.18, 56.27, 56.09, 55.46, 56.13, 55.85, 56.2, 55.96, 55.25, 55.95, 55.95, 55.45, 53.92, 52.7, 54.3, 53.32, 52.38, 53.62, 55.38, 54.17, 55.5, 56.1, 54.9, 55.18]. The historical stock value data of QAT for the past 83 days is: [17.2, 17.2, 17.23, 17.29, 17.16, 17.14, 16.62, 16.8, 16.9, 16.94, 17.26, 17.14, 16.97, 16.95, 16.81, 16.84, 16.78, 16.83, 16.7, 16.79, 16.67, 16.76, 16.78, 16.74, 16.61, 16.63, 16.73, 16.58, 16.38, 16.45, 16.21, 16.13, 16.44, 16.25, 16.3, 16.37, 16.26, 16.02, 15.91, 15.72, 15.83, 15.6, 15.49, 15.25, 15.13, 15.62, 15.51, 15.78, 16.14, 16.17, 16.69, 16.68, 16.51, 16.31, 16.43, 16.44, 16.55, 16.71, 16.67, 16.84, 16.8, 16.78, 16.73, 16.79, 16.58, 16.55, 16.49, 16.58, 16.57, 16.37, 16.36, 16.22, 16.27, 16.18, 16.06, 15.87, 16.08, 16.38, 16.44, 16.45, 16.67, 16.65, 16.92]. 
Option C: The historical stock value data of THRY for the past 83 days is: [21.11, 21.11, 20.89, 20.65, 20.39, 20.39, 19.79, 19.45, 19.38, 19.45, 18.99, 18.63, 19.17, 19.78, 19.68, 19.17, 18.92, 18.93, 18.45, 18.38, 18.32, 18.16, 18.18, 18.79, 18.77, 18.36, 18.66, 18.95, 19.42, 20.1, 19.44, 19.04, 19.37, 18.95, 18.41, 18.88, 18.81, 18.11, 17.79, 17.73, 17.6, 17.97, 18.49, 18.0, 17.23, 17.06, 17.43, 16.54, 17.35, 18.53, 18.56, 18.74, 18.85, 18.56, 18.06, 18.21, 18.63, 18.86, 18.84, 18.87, 19.02, 18.48, 18.3, 18.48, 18.19, 17.81, 17.89, 17.79, 18.6, 19.31, 18.94, 18.62, 18.65, 19.18, 19.51, 18.98, 18.98, 19.73, 19.69, 19.87, 20.04, 20.08, 20.56]. The historical stock value data of PY for the past 83 days is: [39.58, 39.81, 40.19, 40.3, 40.21, 40.35, 40.01, 39.77, 39.51, 39.65, 39.69, 39.83, 39.61, 40.08, 39.72, 39.68, 39.65, 39.37, 38.81, 38.72, 38.9, 38.37, 38.39, 38.67, 38.56, 38.25, 37.74, 37.87, 37.84, 38.11, 38.51, 38.79, 38.76, 38.37, 38.29, 38.78, 39.03, 38.53, 38.06, 37.57, 37.22, 37.37, 37.08, 36.96, 36.49, 36.95, 37.21, 37.44, 38.24, 38.74, 38.51, 38.36, 38.34, 38.05, 38.59, 38.45, 39.49, 39.75, 39.59, 39.83, 39.93, 39.75, 39.93, 40.07, 39.94, 39.98, 40.1, 40.47, 40.99, 41.07, 40.81, 40.74, 40.96, 41.14, 41.43, 41.44, 42.26, 43.08, 42.89, 42.91, 43.18, 42.49, 42.85]. ",external_data_mc/answer_info/answer_info_26.pkl,external_data_mc/executor_variables/executor_variables_26.pkl
27,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 24 trading days. The options are: [Option A: The portfolio contains the following stocks: SHV, MDLZ, SGC, INMD weighted by : [0.44, 0.44, 0.081, 0.038].     Option B: The portfolio contains the following stocks: WIW, SLP, RVSN, MTCH weighted by : [0.065, 0.275, 0.299, 0.362].     Option C: The portfolio contains the following stocks: SMP, WNW, FNX, CLS weighted by : [0.24, 0.324, 0.248, 0.188]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SHV, MDLZ, SGC, INMD weighted by : [0.44, 0.44, 0.081, 0.038]. ', 'Option B: The portfolio contains the following stocks: WIW, SLP, RVSN, MTCH weighted by : [0.065, 0.275, 0.299, 0.362]. ', 'Option C: The portfolio contains the following stocks: SMP, WNW, FNX, CLS weighted by : [0.24, 0.324, 0.248, 0.188]. ']",A,"Option A: The historical stock value data of SHV for the past 46 days is: [104.53, 104.55, 104.61, 104.62, 104.64, 104.65, 104.67, 104.71, 104.72, 104.74, 104.74, 104.76, 104.81, 104.83, 104.84, 104.85, 104.87, 104.91, 104.91, 104.94, 104.95, 104.99, 105.04, 105.05, 105.06, 105.07, 105.08, 105.14, 105.16, 105.17, 105.18, 105.19, 105.23, 105.26, 105.28, 105.29, 105.29, 105.36, 105.38, 105.39, 105.39, 105.42, 105.47, 105.5, 105.49, 105.52]. The historical stock value data of MDLZ for the past 46 days is: [67.88, 68.0, 68.31, 68.13, 69.64, 69.34, 69.57, 70.63, 70.2, 70.12, 69.78, 69.91, 69.0, 68.73, 68.02, 68.86, 68.3, 68.13, 68.14, 67.24, 66.37, 67.43, 63.88, 62.21, 62.61, 62.47, 61.75, 59.93, 60.41, 61.48, 62.38, 62.98, 63.04, 62.93, 62.82, 64.36, 64.49, 64.45, 63.83, 64.78, 65.0, 65.6, 66.73, 67.57, 67.0, 67.24]. The historical stock value data of SGC for the past 46 days is: [7.69, 7.49, 7.3, 7.35, 7.34, 7.29, 7.18, 7.36, 7.59, 7.35, 7.51, 7.59, 7.67, 7.52, 7.46, 7.49, 7.34, 7.35, 7.48, 7.3, 7.28, 7.35, 7.64, 7.57, 7.57, 7.55, 7.41, 7.49, 7.32, 7.47, 8.03, 7.79, 7.68, 7.65, 7.4, 7.54, 7.59, 7.79, 7.59, 7.69, 7.69, 7.63, 7.74, 7.77, 8.13, 8.69]. The historical stock value data of INMD for the past 46 days is: [38.91, 39.4, 38.19, 37.91, 37.79, 36.65, 34.47, 34.91, 33.99, 33.91, 33.73, 33.07, 32.25, 32.28, 32.41, 32.24, 32.56, 30.95, 30.46, 30.13, 28.43, 28.21, 28.24, 28.71, 27.83, 29.03, 27.99, 22.4, 20.75, 21.32, 21.23, 20.74, 19.86, 19.7, 19.93, 20.27, 19.7, 19.25, 19.13, 19.02, 19.1, 19.03, 21.76, 21.48, 20.47, 19.68]. 
Option B: The historical stock value data of WIW for the past 46 days is: [7.82, 7.86, 7.86, 7.85, 7.85, 7.87, 7.89, 7.89, 7.86, 7.86, 7.85, 7.86, 7.8, 7.83, 7.72, 7.66, 7.69, 7.67, 7.61, 7.58, 7.5, 7.53, 7.49, 7.46, 7.52, 7.56, 7.58, 7.53, 7.58, 7.61, 7.58, 7.54, 7.52, 7.58, 7.62, 7.69, 7.58, 7.64, 7.66, 7.63, 7.63, 7.75, 7.88, 7.93, 7.86, 7.91]. The historical stock value data of SLP for the past 46 days is: [42.41, 42.9, 42.58, 41.54, 41.61, 40.7, 41.21, 41.42, 40.75, 40.87, 40.66, 40.48, 39.78, 40.02, 40.43, 40.21, 40.69, 40.8, 41.44, 41.26, 41.16, 41.65, 41.36, 43.41, 41.1, 41.84, 41.71, 40.25, 40.4, 40.58, 40.54, 39.18, 39.73, 39.06, 38.99, 39.58, 38.87, 33.16, 33.81, 33.73, 35.12, 34.59, 34.72, 36.33, 35.97, 35.66]. The historical stock value data of RVSN for the past 46 days is: [3.95, 4.16, 4.14, 4.14, 4.16, 4.29, 4.2, 4.04, 4.03, 4.08, 3.98, 4.08, 3.83, 3.88, 3.76, 3.8, 3.76, 3.92, 4.0, 4.0, 3.95, 4.0, 3.96, 3.97, 4.38, 4.28, 3.9, 3.73, 3.44, 3.44, 3.5, 3.56, 3.5, 3.53, 3.53, 3.32, 3.12, 3.09, 2.37, 2.38, 2.32, 2.34, 2.7, 2.4, 2.64, 2.59]. The historical stock value data of MTCH for the past 46 days is: [45.98, 45.26, 44.48, 44.05, 43.53, 43.3, 42.51, 44.04, 44.15, 42.81, 42.42, 41.58, 41.03, 41.26, 41.5, 40.9, 39.98, 39.48, 39.17, 38.11, 38.15, 37.99, 36.84, 37.3, 37.42, 37.77, 38.32, 37.39, 35.54, 36.39, 36.43, 35.5, 36.2, 35.52, 35.31, 36.88, 34.94, 34.92, 33.98, 34.04, 34.6, 29.29, 29.18, 29.44, 28.45, 29.99]. 
Option C: The historical stock value data of SMP for the past 46 days is: [35.36, 35.23, 34.07, 33.76, 33.64, 33.17, 32.77, 33.29, 32.67, 32.53, 33.08, 33.11, 32.62, 32.09, 32.0, 31.74, 32.18, 32.65, 32.49, 32.23, 31.96, 32.37, 32.08, 31.74, 31.98, 31.82, 31.57, 31.42, 31.03, 31.14, 31.7, 31.35, 31.02, 31.3, 30.79, 30.5, 30.59, 30.85, 32.09, 33.48, 33.75, 34.34, 34.52, 34.69, 34.83, 34.45]. The historical stock value data of WNW for the past 46 days is: [3.85, 3.95, 3.92, 4.13, 4.03, 3.99, 4.13, 3.99, 4.03, 4.2, 4.2, 4.13, 4.03, 3.92, 3.95, 3.82, 3.78, 3.85, 3.78, 3.67, 3.46, 3.36, 4.9, 4.03, 3.46, 3.54, 3.29, 3.57, 3.36, 3.22, 3.57, 3.61, 3.39, 3.12, 2.97, 3.18, 3.18, 3.12, 3.26, 3.15, 4.03, 4.34, 3.85, 3.71, 3.92, 3.57]. The historical stock value data of FNX for the past 46 days is: [95.5, 94.89, 94.0, 94.12, 93.88, 94.15, 93.27, 94.7, 93.65, 93.56, 93.14, 92.47, 90.81, 90.49, 91.0, 89.61, 90.5, 91.41, 91.28, 89.91, 88.18, 88.46, 88.44, 89.1, 90.06, 90.94, 91.32, 89.38, 88.81, 90.06, 91.18, 89.23, 88.11, 86.94, 86.0, 86.61, 85.09, 85.39, 84.51, 84.93, 85.62, 86.2, 88.4, 90.44, 89.47, 89.08]. The historical stock value data of CLS for the past 46 days is: [23.56, 23.39, 23.27, 23.36, 24.1, 24.15, 23.38, 23.49, 22.79, 22.75, 22.68, 22.48, 22.3, 22.55, 23.03, 22.57, 23.27, 24.42, 24.52, 24.37, 23.7, 24.42, 25.79, 26.42, 26.7, 26.05, 26.5, 26.7, 25.91, 26.82, 27.27, 26.19, 26.05, 25.81, 25.71, 26.01, 25.31, 22.68, 22.38, 22.25, 23.35, 24.14, 24.83, 25.66, 24.82, 24.8]. ",external_data_mc/answer_info/answer_info_27.pkl,external_data_mc/executor_variables/executor_variables_27.pkl
28,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 23 trading days. The options are: [Option A: The portfolio contains the following stocks: PCRX, GREEL, SBSW, YGMZ weighted by : [0.342, 0.352, 0.024, 0.282].     Option B: The portfolio contains the following stocks: RITM, WALD, SEIV, NISN weighted by : [0.227, 0.336, 0.274, 0.163].     Option C: The portfolio contains the following stocks: E, CCTS, OXLCP, RDZN weighted by : [0.271, 0.08, 0.33, 0.318]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: PCRX, GREEL, SBSW, YGMZ weighted by : [0.342, 0.352, 0.024, 0.282]. ', 'Option B: The portfolio contains the following stocks: RITM, WALD, SEIV, NISN weighted by : [0.227, 0.336, 0.274, 0.163]. ', 'Option C: The portfolio contains the following stocks: E, CCTS, OXLCP, RDZN weighted by : [0.271, 0.08, 0.33, 0.318]. ']",B,"Option A: The historical stock value data of PCRX for the past 93 days is: [41.52, 40.54, 39.74, 39.46, 39.26, 38.03, 38.04, 39.09, 38.55, 39.08, 37.54, 37.01, 36.13, 36.12, 36.96, 38.74, 40.32, 41.09, 40.91, 40.31, 39.47, 40.06, 39.62, 39.75, 40.01, 39.51, 40.07, 40.09, 38.8, 38.32, 37.89, 36.41, 37.58, 36.55, 37.26, 37.29, 37.76, 37.39, 36.76, 37.83, 37.07, 36.85, 37.17, 36.25, 36.13, 35.78, 36.35, 36.0, 36.71, 38.75, 39.48, 38.14, 38.18, 38.06, 37.82, 37.57, 36.69, 37.31, 37.01, 36.53, 37.72, 37.77, 37.88, 37.38, 37.21, 37.16, 36.47, 35.38, 35.51, 35.3, 35.53, 34.76, 34.91, 34.2, 33.75, 33.39, 33.79, 34.25, 34.77, 33.64, 32.97, 33.43, 34.49, 33.64, 33.15, 32.79, 33.2, 31.04, 30.85, 30.68, 29.86, 29.23, 28.66]. The historical stock value data of GREEL for the past 93 days is: [3.94, 3.65, 3.5, 3.55, 3.7, 3.5, 3.39, 3.21, 2.87, 3.12, 2.93, 2.95, 3.1, 2.99, 2.84, 3.15, 3.28, 3.41, 3.41, 3.57, 3.47, 3.47, 3.49, 3.64, 3.71, 3.7, 3.65, 3.72, 3.67, 3.72, 4.22, 4.52, 4.56, 4.92, 4.93, 4.7, 4.39, 4.42, 4.2, 4.09, 4.12, 4.09, 4.28, 4.16, 4.19, 4.24, 4.33, 4.35, 4.29, 4.35, 4.32, 4.35, 4.36, 4.41, 4.08, 4.24, 4.32, 4.32, 4.32, 4.32, 4.24, 4.34, 4.35, 4.43, 4.23, 4.33, 4.31, 4.27, 4.28, 4.28, 4.33, 4.35, 4.2, 4.2, 4.34, 4.37, 4.51, 4.96, 4.95, 5.04, 5.08, 5.23, 5.23, 5.23, 5.27, 5.08, 4.91, 4.75, 4.76, 4.99, 5.03, 5.1, 5.07]. The historical stock value data of SBSW for the past 93 days is: [7.51, 7.33, 7.02, 6.98, 6.93, 7.03, 7.15, 7.18, 7.19, 7.15, 7.22, 7.22, 7.14, 7.01, 7.22, 7.25, 7.19, 7.26, 6.89, 6.58, 6.45, 6.28, 6.26, 6.12, 6.02, 6.11, 6.14, 6.29, 6.27, 6.0, 6.05, 6.17, 6.39, 6.82, 7.06, 7.05, 7.07, 7.25, 7.27, 7.14, 7.17, 7.11, 7.17, 7.27, 7.1, 7.37, 7.61, 6.97, 6.72, 6.62, 6.74, 6.64, 6.43, 6.44, 6.79, 6.68, 6.28, 6.19, 6.11, 6.08, 6.14, 6.15, 6.27, 6.75, 6.77, 6.78, 6.88, 6.55, 6.35, 5.95, 5.9, 5.52, 5.58, 5.51, 5.38, 5.6, 5.75, 5.85, 6.28, 6.53, 6.53, 6.63, 6.72, 6.56, 6.51, 6.48, 6.27, 6.16, 6.24, 6.17, 5.85, 5.56, 5.49]. The historical stock value data of YGMZ for the past 93 days is: [9.68, 9.28, 9.72, 9.12, 9.44, 9.68, 9.28, 9.52, 9.12, 8.8, 8.4, 8.08, 8.16, 7.74, 7.84, 7.38, 7.59, 7.72, 7.66, 7.51, 7.07, 6.98, 7.34, 7.14, 7.04, 7.14, 6.99, 7.04, 7.04, 6.94, 6.96, 7.22, 7.26, 7.19, 7.2, 7.19, 6.98, 6.74, 6.98, 6.87, 6.83, 6.91, 6.79, 6.49, 5.96, 5.86, 6.08, 6.4, 5.94, 5.92, 5.94, 5.78, 5.86, 5.74, 5.61, 5.55, 5.44, 5.28, 4.8, 4.8, 4.8, 4.88, 4.8, 4.8, 4.36, 4.28, 4.28, 4.76, 4.49, 4.4, 4.28, 4.24, 4.3, 4.12, 4.11, 3.92, 4.15, 4.08, 3.92, 3.91, 3.72, 3.95, 3.6, 3.72, 3.6, 3.64, 3.41, 3.47, 3.76, 3.81, 3.56, 3.56, 3.45]. 
Option B: The historical stock value data of RITM for the past 93 days is: [7.25, 7.12, 7.02, 7.23, 7.32, 7.21, 7.33, 7.62, 7.61, 7.76, 7.87, 7.9, 7.89, 8.01, 8.14, 8.1, 8.28, 8.24, 8.17, 8.26, 8.18, 8.06, 8.18, 8.32, 8.4, 8.47, 8.5, 8.47, 8.38, 8.26, 8.42, 8.47, 8.49, 8.55, 8.66, 8.61, 8.65, 8.77, 8.95, 8.87, 8.85, 9.33, 9.2, 9.27, 9.15, 9.25, 9.17, 9.15, 9.28, 9.11, 9.24, 9.36, 9.36, 9.34, 9.22, 9.2, 9.08, 8.95, 8.86, 8.72, 8.73, 8.75, 8.7, 8.84, 8.91, 8.99, 9.25, 9.35, 9.34, 9.37, 9.46, 9.33, 9.29, 9.23, 9.21, 9.25, 9.16, 9.05, 9.21, 9.16, 9.12, 9.11, 9.03, 8.73, 8.78, 8.76, 8.54, 8.61, 8.65, 8.68, 8.68, 8.41, 8.42]. The historical stock value data of WALD for the past 93 days is: [10.06, 9.97, 9.95, 9.85, 9.78, 9.8, 9.81, 10.0, 9.9, 9.85, 9.8, 9.85, 9.8, 9.55, 9.53, 9.49, 9.57, 9.6, 9.5, 9.46, 9.4, 9.3, 9.35, 9.06, 8.36, 7.75, 7.73, 7.53, 7.39, 6.63, 6.91, 6.8, 7.08, 6.73, 6.8, 6.75, 6.52, 6.68, 6.41, 6.48, 6.49, 6.28, 5.67, 5.62, 5.5, 5.45, 5.55, 5.56, 5.59, 5.69, 5.59, 5.86, 5.67, 5.83, 5.68, 5.93, 5.63, 5.73, 6.05, 6.0, 6.18, 7.96, 7.45, 8.06, 7.54, 7.68, 8.0, 8.22, 7.98, 7.87, 7.9, 7.38, 7.61, 8.0, 8.23, 7.42, 7.15, 6.57, 6.61, 7.59, 8.77, 10.58, 10.2, 9.84, 8.83, 9.06, 8.55, 8.37, 8.46, 9.42, 9.41, 9.65, 9.56]. The historical stock value data of SEIV for the past 93 days is: [23.65, 23.48, 23.49, 23.69, 23.61, 23.39, 23.55, 24.12, 24.0, 24.31, 24.5, 24.5, 24.48, 24.67, 24.96, 24.84, 25.21, 25.2, 25.03, 24.97, 24.94, 24.81, 24.86, 25.18, 25.22, 25.39, 25.57, 25.69, 25.54, 25.34, 25.41, 25.52, 25.85, 25.94, 26.13, 25.88, 25.89, 26.15, 26.31, 26.12, 26.06, 26.12, 26.21, 26.18, 26.1, 26.29, 26.35, 26.3, 26.08, 25.96, 25.91, 26.14, 26.09, 25.99, 25.86, 25.81, 25.89, 25.58, 25.34, 25.06, 25.09, 25.17, 25.02, 25.19, 25.02, 25.06, 25.27, 25.57, 25.61, 25.59, 25.82, 25.46, 25.36, 25.18, 25.31, 25.41, 25.31, 25.22, 25.5, 25.3, 25.31, 25.35, 25.22, 24.97, 24.92, 25.02, 24.7, 24.66, 24.98, 24.88, 24.74, 24.4, 24.57]. The historical stock value data of NISN for the past 93 days is: [4.1, 4.16, 3.77, 3.84, 3.69, 3.69, 3.72, 3.74, 3.81, 3.82, 3.86, 4.2, 3.95, 4.11, 4.37, 4.32, 4.17, 4.24, 4.18, 4.13, 3.88, 3.78, 3.72, 3.72, 3.89, 3.74, 3.69, 3.64, 3.89, 3.88, 3.88, 3.87, 3.9, 3.79, 3.99, 3.83, 3.89, 3.82, 3.78, 3.73, 3.69, 3.86, 3.73, 3.73, 3.73, 3.6, 3.61, 3.53, 3.52, 3.15, 2.99, 3.12, 3.1, 3.12, 3.07, 3.15, 3.28, 3.15, 3.01, 3.1, 3.03, 2.92, 2.89, 2.84, 2.86, 2.77, 2.87, 2.77, 2.68, 2.68, 2.64, 2.67, 2.72, 2.72, 2.76, 2.75, 2.81, 2.85, 2.86, 2.87, 2.77, 2.79, 2.88, 2.74, 2.74, 2.7, 2.65, 2.68, 2.4, 2.39, 2.36, 2.31, 2.33]. 
Option C: The historical stock value data of E for the past 93 days is: [27.03, 27.03, 26.33, 26.58, 26.01, 24.94, 25.68, 26.47, 26.29, 26.28, 26.5, 26.66, 26.27, 25.93, 26.1, 26.29, 26.84, 26.69, 26.27, 26.81, 26.48, 26.1, 26.45, 26.16, 26.21, 26.43, 27.03, 27.41, 27.24, 26.74, 26.88, 27.15, 27.45, 28.29, 28.67, 28.06, 28.04, 28.25, 28.32, 28.43, 28.5, 28.76, 28.62, 28.33, 28.21, 28.34, 28.78, 28.58, 27.9, 28.17, 28.25, 28.46, 28.38, 28.84, 29.08, 28.88, 28.67, 28.25, 28.24, 28.45, 28.5, 28.93, 28.71, 28.8, 28.61, 28.85, 28.98, 29.51, 29.42, 29.07, 29.54, 29.74, 29.78, 29.48, 29.72, 30.18, 30.48, 30.53, 30.98, 30.7, 30.56, 30.99, 30.81, 30.25, 30.86, 30.86, 30.45, 31.01, 30.99, 30.46, 29.94, 29.51, 29.01]. The historical stock value data of CCTS for the past 93 days is: [10.52, 10.52, 10.52, 10.52, 10.52, 10.52, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.58, 10.59, 10.59, 10.59, 10.59, 10.59, 10.59, 10.59, 10.59, 10.59, 10.59, 10.6, 10.6, 10.6, 10.6, 10.6, 10.6, 10.6, 10.63, 10.63, 10.63, 10.63, 10.64, 10.64, 10.64, 10.64, 10.64, 10.64, 10.7, 10.7, 10.7, 10.7, 10.7, 10.7, 10.7, 10.7, 10.7, 10.79, 10.79, 10.79, 10.79, 10.79, 10.79, 10.79, 10.79, 10.79, 10.88, 11.0, 10.79, 10.79, 10.84, 10.85, 10.84, 10.84, 10.91, 10.9, 10.95, 11.0, 10.95, 10.94, 10.9, 10.9, 10.9, 10.85, 10.83, 10.79, 11.0, 11.28, 11.03, 11.03, 11.03, 11.03, 11.05]. The historical stock value data of OXLCP for the past 93 days is: [20.98, 20.94, 20.8, 20.58, 20.63, 20.84, 20.77, 20.66, 20.7, 20.84, 20.68, 20.68, 20.69, 20.87, 20.88, 20.75, 20.79, 20.8, 20.86, 20.95, 21.07, 20.89, 21.06, 21.06, 21.01, 20.93, 20.92, 20.97, 20.97, 20.94, 21.0, 20.93, 21.06, 20.99, 20.94, 21.12, 20.94, 20.91, 20.91, 20.98, 20.97, 21.11, 21.01, 21.09, 21.09, 21.04, 21.04, 21.11, 21.08, 21.13, 21.12, 21.14, 21.06, 21.06, 21.21, 21.21, 21.18, 21.2, 21.3, 21.28, 21.33, 21.15, 21.19, 21.29, 21.31, 21.25, 21.19, 21.19, 21.14, 21.12, 21.15, 21.14, 21.06, 21.38, 21.32, 21.3, 21.3, 21.34, 21.33, 21.42, 21.41, 21.33, 21.33, 21.16, 21.16, 21.32, 21.17, 21.23, 21.28, 21.29, 21.35, 21.39, 21.41]. The historical stock value data of RDZN for the past 93 days is: [10.53, 10.53, 10.54, 10.52, 10.55, 10.55, 10.55, 10.55, 10.54, 10.54, 10.54, 10.56, 10.56, 10.55, 10.55, 10.55, 10.58, 10.59, 10.6, 10.62, 10.62, 10.62, 10.62, 10.63, 10.63, 10.63, 10.63, 10.63, 10.63, 10.64, 10.66, 10.66, 10.66, 10.66, 10.66, 10.66, 10.65, 10.64, 10.64, 10.64, 10.65, 10.67, 10.67, 10.68, 10.69, 10.69, 10.69, 10.72, 10.72, 10.73, 10.74, 10.74, 10.73, 10.75, 10.75, 10.75, 10.76, 10.76, 10.75, 10.73, 10.75, 10.71, 10.32, 10.64, 10.15, 9.65, 11.65, 11.24, 11.21, 11.55, 11.4, 10.8, 11.45, 11.45, 11.13, 11.55, 11.0, 10.82, 10.95, 10.13, 10.83, 10.21, 11.12, 6.57, 5.65, 5.37, 5.0, 4.55, 4.4, 4.17, 4.39, 4.21, 4.37]. ",external_data_mc/answer_info/answer_info_28.pkl,external_data_mc/executor_variables/executor_variables_28.pkl
29,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 4 trading hours. The options are: [Option A: The portfolio contains the following stocks: WRBY, ABVX, BIGC, IFRA weighted by : [0.214, 0.329, 0.186, 0.271].     Option B: The portfolio contains the following stocks: KOLD, FOSL, SPHY, WNS weighted by : [0.028, 0.701, 0.046, 0.225].     Option C: The portfolio contains the following stocks: SVM, PTC, PRGO, SVCO weighted by : [0.38, 0.057, 0.361, 0.202]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: WRBY, ABVX, BIGC, IFRA weighted by : [0.214, 0.329, 0.186, 0.271]. ', 'Option B: The portfolio contains the following stocks: KOLD, FOSL, SPHY, WNS weighted by : [0.028, 0.701, 0.046, 0.225]. ', 'Option C: The portfolio contains the following stocks: SVM, PTC, PRGO, SVCO weighted by : [0.38, 0.057, 0.361, 0.202]. ']",A,"Option A: The historical stock value data of WRBY for the past 18 hours is: [13.51, 13.52, 13.4, 13.55, 13.08, 13.01, 12.78, 12.88, 12.78, 13.1, 13.12, 13.81, 13.91, 14.1, 14.01, 13.95, 14.02, 13.91]. The historical stock value data of ABVX for the past 18 hours is: [12.32, 12.25, 12.26, 12.32, 12.28, 12.12, 11.94, 12.08, 12.1, 12.22, 12.35, 12.24, 12.25, 12.07, 12.01, 12.17, 11.96, 12.0]. The historical stock value data of BIGC for the past 18 hours is: [5.8, 5.89, 5.84, 5.83, 5.76, 5.82, 5.8, 5.91, 5.97, 5.96, 5.86, 5.9, 5.93, 5.94, 5.91, 5.83, 5.82, 5.84]. The historical stock value data of IFRA for the past 18 hours is: [44.25, 44.36, 44.29, 44.27, 44.08, 43.93, 43.85, 43.99, 43.82, 43.94, 43.83, 43.94, 43.98, 44.12, 44.12, 44.06, 44.06, 44.02]. 
Option B: The historical stock value data of KOLD for the past 18 hours is: [70.32, 72.29, 72.06, 72.14, 71.3, 72.8, 72.2, 71.54, 71.44, 70.81, 70.91, 75.67, 75.92, 73.81, 76.1, 75.39, 76.06, 76.46]. The historical stock value data of FOSL for the past 18 hours is: [1.02, 1.06, 1.04, 1.02, 1.02, 1.04, 1.07, 1.05, 1.05, 1.07, 1.04, 1.05, 1.03, 1.03, 1.02, 1.02, 1.01, 1.02]. The historical stock value data of SPHY for the past 18 hours is: [23.72, 23.74, 23.75, 23.73, 23.73, 23.7, 23.67, 23.68, 23.68, 23.7, 23.69, 23.72, 23.72, 23.75, 23.76, 23.75, 23.75, 23.75]. The historical stock value data of WNS for the past 18 hours is: [57.04, 57.13, 56.85, 56.41, 56.61, 55.96, 56.2, 56.77, 56.86, 56.97, 56.89, 57.5, 56.64, 56.6, 56.4, 56.13, 56.12, 56.0]. 
Option C: The historical stock value data of SVM for the past 18 hours is: [3.51, 3.52, 3.51, 3.51, 3.46, 3.43, 3.38, 3.42, 3.39, 3.38, 3.37, 3.38, 3.36, 3.38, 3.38, 3.36, 3.37, 3.35]. The historical stock value data of PTC for the past 18 hours is: [168.65, 169.3, 168.4, 168.5, 167.14, 165.78, 165.59, 165.82, 166.07, 165.79, 164.73, 167.06, 167.19, 167.9, 168.05, 167.37, 167.73, 167.77]. The historical stock value data of PRGO for the past 18 hours is: [28.44, 28.43, 28.25, 28.19, 27.99, 27.88, 27.77, 27.75, 27.74, 27.76, 27.72, 27.31, 27.24, 27.18, 27.17, 27.08, 26.78, 26.62]. The historical stock value data of SVCO for the past 18 hours is: [14.58, 14.6, 14.42, 14.46, 14.27, 14.2, 14.22, 14.15, 14.26, 14.19, 14.21, 14.25, 14.22, 14.2, 14.27, 14.03, 14.28, 14.35]. ",external_data_mc/answer_info/answer_info_29.pkl,external_data_mc/executor_variables/executor_variables_29.pkl
30,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 13 trading days. The options are: [Option A: The portfolio contains the following stocks: ELV weighted by : [1.0].     Option B: The portfolio contains the following stocks: URTH weighted by : [1.0].     Option C: The portfolio contains the following stocks: PLAO weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ELV weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: URTH weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: PLAO weighted by : [1.0]. ']",C,"Option A: The historical stock value data of ELV for the past 79 days is: [439.84, 437.76, 438.91, 436.5, 437.29, 433.4, 440.36, 445.3, 441.62, 448.47, 442.67, 439.31, 441.8, 430.08, 434.79, 428.2, 432.58, 438.43, 444.44, 447.46, 449.55, 448.01, 447.97, 448.54, 456.95, 459.98, 463.56, 457.6, 448.22, 446.23, 447.04, 444.55, 444.28, 436.05, 442.53, 444.57, 441.18, 445.98, 444.35, 448.95, 451.63, 447.63, 447.51, 452.63, 455.73, 456.09, 451.12, 457.93, 457.27, 459.67, 464.83, 474.09, 472.86, 471.56, 469.66, 459.66, 473.61, 477.2, 477.18, 477.6, 473.89, 472.56, 473.56, 471.71, 479.07, 483.56, 475.44, 464.14, 465.04, 461.48, 454.99, 459.81, 462.29, 462.21, 461.51, 464.35, 467.21, 474.41, 476.06]. 
Option B: The historical stock value data of URTH for the past 79 days is: [122.47, 122.51, 123.69, 122.61, 122.51, 122.33, 121.44, 119.4, 119.21, 119.43, 117.74, 117.65, 118.57, 118.23, 117.58, 116.03, 116.71, 116.96, 118.31, 118.84, 119.81, 120.34, 119.42, 118.73, 119.88, 119.87, 118.12, 117.06, 115.75, 115.6, 116.39, 114.88, 113.71, 113.15, 114.55, 115.22, 116.41, 118.77, 119.96, 119.92, 120.02, 120.05, 119.35, 120.85, 120.89, 123.43, 123.63, 123.63, 124.26, 125.02, 124.75, 125.17, 125.46, 125.25, 125.35, 125.37, 125.71, 126.68, 125.97, 125.77, 125.48, 126.38, 126.84, 127.32, 127.65, 129.54, 130.22, 129.82, 130.42, 131.32, 129.58, 131.09, 131.36, 131.91, 132.28, 132.2, 131.95, 130.85, 129.79]. 
Option C: The historical stock value data of PLAO for the past 79 days is: [10.92, 10.91, 10.93, 10.95, 10.94, 10.95, 10.95, 10.96, 10.95, 11.0, 10.96, 10.97, 11.02, 10.99, 10.98, 10.98, 11.0, 10.99, 11.02, 10.99, 10.99, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.02, 11.02, 11.01, 11.01, 11.01, 11.02, 11.01, 11.01, 11.01, 11.0, 11.01, 11.01, 11.02, 11.02, 11.03, 11.03, 11.03, 11.04, 11.03, 11.04, 11.04, 11.04, 11.04, 11.04, 11.04, 11.04, 11.04, 11.05, 11.05, 11.05, 11.05, 11.07, 11.07, 11.07, 11.06, 11.06, 11.07, 11.08, 11.07, 11.07, 11.07, 11.07, 11.07, 11.07, 11.08, 11.08, 11.08, 11.08, 11.09, 11.1, 11.12, 11.12]. ",external_data_mc/answer_info/answer_info_30.pkl,external_data_mc/executor_variables/executor_variables_30.pkl
31,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 18 trading days. The options are: [Option A: The portfolio contains the following stocks: SYLD, LFMDP, FLGB weighted by : [0.338, 0.246, 0.415].     Option B: The portfolio contains the following stocks: INCY, SKYE, BPMC weighted by : [0.121, 0.62, 0.259].     Option C: The portfolio contains the following stocks: SPEU, UPXI, MRUS weighted by : [0.195, 0.098, 0.707]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SYLD, LFMDP, FLGB weighted by : [0.338, 0.246, 0.415]. ', 'Option B: The portfolio contains the following stocks: INCY, SKYE, BPMC weighted by : [0.121, 0.62, 0.259]. ', 'Option C: The portfolio contains the following stocks: SPEU, UPXI, MRUS weighted by : [0.195, 0.098, 0.707]. ']",A,"Option A: The historical stock value data of SYLD for the past 87 days is: [62.71, 61.82, 61.59, 61.32, 61.44, 61.3, 61.45, 61.05, 62.11, 61.47, 61.4, 61.6, 60.88, 60.3, 60.15, 60.72, 59.99, 60.75, 61.46, 60.92, 60.15, 59.32, 58.78, 58.75, 59.14, 60.08, 60.5, 60.46, 59.51, 59.48, 60.32, 60.89, 60.28, 59.46, 58.63, 58.04, 58.2, 57.77, 57.8, 57.48, 57.74, 58.1, 58.58, 59.84, 60.6, 59.94, 59.11, 58.73, 58.3, 59.15, 59.09, 61.06, 61.23, 60.37, 61.19, 61.31, 60.92, 61.26, 61.59, 61.37, 61.16, 61.35, 61.85, 62.98, 62.97, 62.24, 61.82, 62.19, 62.55, 63.04, 62.46, 63.95, 65.89, 65.42, 65.85, 66.95, 66.1, 66.74, 66.88, 67.38, 67.46, 67.04, 66.67, 67.03, 66.33, 66.0, 66.22]. The historical stock value data of LFMDP for the past 87 days is: [16.85, 16.92, 16.99, 16.99, 16.94, 16.95, 17.03, 16.81, 17.02, 16.94, 16.9, 16.92, 16.9, 16.85, 16.89, 16.89, 16.84, 16.98, 16.9, 16.87, 16.9, 16.89, 16.98, 17.37, 17.31, 16.83, 16.81, 17.08, 17.04, 17.13, 17.08, 17.15, 17.12, 17.03, 17.0, 16.71, 16.78, 16.99, 17.12, 17.04, 16.92, 16.97, 16.88, 17.13, 16.97, 17.05, 16.86, 16.97, 16.78, 16.59, 16.66, 17.13, 17.14, 17.22, 17.13, 17.13, 17.04, 17.13, 17.07, 17.13, 17.09, 17.12, 17.13, 17.44, 17.58, 17.51, 17.58, 17.59, 17.59, 17.52, 17.49, 17.58, 17.36, 17.58, 17.58, 17.59, 17.58, 17.59, 17.59, 17.59, 17.59, 17.59, 17.83, 17.92, 17.83, 17.06, 17.28]. The historical stock value data of FLGB for the past 87 days is: [23.23, 22.98, 22.9, 22.87, 22.97, 23.15, 23.15, 23.17, 23.58, 23.5, 23.38, 23.4, 23.45, 23.16, 23.13, 23.01, 22.83, 22.77, 22.95, 22.88, 22.46, 22.32, 22.34, 22.47, 22.78, 22.78, 23.15, 23.24, 23.05, 22.86, 23.08, 23.15, 22.73, 22.48, 22.22, 22.23, 22.25, 22.14, 21.97, 21.76, 22.08, 22.01, 22.12, 22.52, 22.66, 22.68, 22.53, 22.48, 22.48, 22.44, 22.59, 23.04, 23.01, 22.9, 23.23, 23.26, 23.29, 23.23, 23.54, 23.45, 23.49, 23.44, 23.47, 23.81, 23.62, 23.45, 23.44, 23.59, 23.65, 23.66, 23.67, 23.95, 24.35, 23.92, 24.03, 24.31, 24.14, 24.4, 24.47, 24.62, 24.69, 24.55, 24.56, 24.29, 24.31, 24.37, 24.35]. 
Option B: The historical stock value data of INCY for the past 87 days is: [64.69, 63.28, 63.19, 63.45, 63.98, 64.41, 64.23, 63.1, 63.48, 62.55, 59.51, 60.6, 60.37, 58.81, 58.1, 58.75, 59.28, 59.11, 58.61, 57.77, 58.06, 58.56, 58.16, 58.81, 57.33, 56.68, 57.24, 56.96, 56.57, 57.61, 57.63, 57.19, 56.82, 55.64, 55.13, 55.1, 54.95, 54.25, 54.27, 52.54, 52.16, 53.93, 54.37, 53.97, 54.85, 54.57, 54.72, 54.06, 52.52, 52.44, 53.12, 54.57, 54.98, 53.99, 54.27, 54.71, 53.23, 53.4, 53.74, 52.87, 52.7, 53.39, 54.34, 54.02, 54.96, 54.82, 55.42, 55.18, 54.7, 57.04, 61.86, 64.19, 63.84, 62.3, 60.62, 61.9, 60.76, 61.69, 62.85, 62.55, 62.68, 62.73, 62.79, 65.45, 65.51, 66.59, 65.26]. The historical stock value data of SKYE for the past 87 days is: [4.25, 4.25, 4.0, 4.5, 3.15, 2.5, 2.35, 2.45, 1.98, 1.88, 2.14, 2.65, 3.2, 3.13, 3.41, 3.55, 3.53, 3.15, 3.45, 4.09, 3.93, 4.05, 3.7, 3.26, 2.96, 2.83, 2.5, 2.8, 2.5, 2.64, 2.7, 2.9, 2.9, 2.6, 2.6, 2.6, 2.41, 1.85, 1.52, 1.63, 1.69, 1.75, 1.6, 1.62, 1.7, 1.75, 1.75, 1.8, 1.7, 1.7, 1.7, 1.58, 1.44, 1.52, 1.74, 1.69, 1.61, 1.52, 1.55, 1.55, 1.55, 1.6, 1.61, 1.73, 1.78, 2.84, 4.01, 4.22, 3.5, 4.0, 3.59, 3.1, 2.95, 2.9, 3.08, 3.2, 3.05, 3.06, 2.96, 2.75, 2.55, 2.55, 2.72, 2.72, 2.55, 2.59, 2.38]. The historical stock value data of BPMC for the past 87 days is: [50.64, 49.69, 50.05, 50.65, 53.39, 53.55, 52.81, 51.93, 51.37, 50.62, 52.19, 51.33, 50.57, 49.37, 49.52, 49.33, 49.93, 49.93, 51.07, 50.22, 48.86, 48.53, 46.24, 49.35, 49.51, 50.49, 50.36, 50.35, 48.41, 48.93, 48.41, 50.67, 48.62, 46.06, 46.22, 44.15, 46.23, 43.96, 55.22, 54.81, 54.34, 58.86, 59.9, 59.4, 59.77, 58.73, 60.62, 59.26, 57.25, 58.85, 58.86, 64.73, 63.67, 62.62, 63.66, 65.88, 66.3, 67.01, 68.45, 69.12, 68.37, 68.48, 69.64, 72.05, 72.72, 73.31, 72.42, 73.78, 73.98, 80.99, 85.0, 85.17, 83.82, 87.93, 87.61, 87.96, 84.12, 85.93, 88.83, 90.81, 92.84, 91.35, 92.24, 91.07, 88.74, 85.21, 82.97]. 
Option C: The historical stock value data of SPEU for the past 87 days is: [36.68, 36.22, 36.11, 35.96, 35.96, 36.4, 36.14, 35.96, 36.39, 36.31, 36.12, 36.11, 36.23, 35.71, 35.63, 35.41, 34.95, 34.79, 35.1, 35.18, 34.59, 34.16, 34.36, 34.54, 35.0, 34.87, 35.41, 35.65, 35.31, 34.93, 35.23, 35.25, 34.53, 34.29, 33.99, 34.03, 34.16, 33.91, 33.71, 33.51, 33.97, 34.09, 34.27, 35.03, 35.38, 35.26, 35.07, 35.22, 35.27, 35.39, 35.47, 36.53, 36.57, 36.45, 36.94, 37.1, 37.02, 37.05, 37.38, 37.28, 37.27, 37.45, 37.37, 37.72, 37.54, 37.45, 37.47, 37.64, 37.84, 37.89, 37.96, 38.46, 38.93, 38.55, 38.66, 39.05, 38.63, 39.18, 39.22, 39.46, 39.69, 39.35, 39.43, 38.92, 38.6, 38.84, 38.77]. The historical stock value data of UPXI for the past 87 days is: [1.79, 1.77, 1.7, 1.78, 1.74, 1.71, 1.68, 1.56, 1.61, 1.72, 1.85, 1.77, 1.62, 1.72, 1.77, 1.6, 1.68, 1.69, 1.71, 1.73, 1.72, 1.55, 1.64, 1.67, 1.66, 1.64, 1.73, 1.7, 1.75, 1.65, 1.57, 1.52, 1.51, 1.44, 1.35, 1.29, 1.18, 1.19, 1.23, 1.18, 1.15, 1.14, 1.03, 1.04, 1.13, 1.11, 1.08, 1.04, 1.06, 1.03, 1.02, 0.98, 0.98, 1.05, 1.1, 1.0, 0.96, 0.96, 0.94, 0.88, 0.8, 0.75, 0.76, 0.86, 0.83, 0.95, 1.02, 1.08, 1.08, 1.02, 0.97, 0.91, 0.95, 0.88, 0.85, 0.9, 1.01, 1.05, 1.07, 1.05, 1.07, 1.12, 1.16, 1.23, 1.29, 1.29, 1.23]. The historical stock value data of MRUS for the past 87 days is: [23.22, 23.0, 23.05, 23.77, 23.44, 23.95, 24.39, 24.13, 24.95, 24.37, 24.88, 24.98, 24.66, 24.81, 23.95, 22.6, 22.77, 24.09, 24.47, 23.58, 22.49, 21.09, 21.18, 21.57, 21.85, 21.34, 21.2, 21.05, 21.08, 21.1, 22.26, 22.28, 21.74, 20.92, 20.3, 20.76, 21.1, 20.32, 20.51, 20.06, 20.1, 20.11, 20.79, 21.94, 24.88, 24.01, 24.23, 23.32, 22.75, 22.9, 22.48, 24.15, 23.97, 23.8, 24.3, 24.3, 23.66, 23.64, 24.14, 24.21, 24.02, 23.58, 24.74, 25.13, 23.59, 23.99, 24.78, 24.76, 23.93, 22.86, 23.53, 23.78, 25.28, 25.24, 24.95, 26.81, 25.88, 26.4, 27.07, 28.66, 28.57, 28.13, 27.5, 28.62, 28.03, 29.44, 28.52]. ",external_data_mc/answer_info/answer_info_31.pkl,external_data_mc/executor_variables/executor_variables_31.pkl
32,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 17 trading hours. The options are: [Option A: The portfolio contains the following stocks: CGDV, CGSM, ATAI, MHK weighted by : [0.084, 0.274, 0.362, 0.281].     Option B: The portfolio contains the following stocks: FMN, BSX, TNON, SEPW weighted by : [0.328, 0.349, 0.301, 0.023].     Option C: The portfolio contains the following stocks: ELV, AMN, NPWR, LFMD weighted by : [0.003, 0.281, 0.39, 0.326]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: CGDV, CGSM, ATAI, MHK weighted by : [0.084, 0.274, 0.362, 0.281]. ', 'Option B: The portfolio contains the following stocks: FMN, BSX, TNON, SEPW weighted by : [0.328, 0.349, 0.301, 0.023]. ', 'Option C: The portfolio contains the following stocks: ELV, AMN, NPWR, LFMD weighted by : [0.003, 0.281, 0.39, 0.326]. ']",A,"Option A: The historical stock value data of CGDV for the past 10 hours is: [35.0, 34.96, 34.95, 34.8, 34.63, 34.53, 34.58, 34.53, 34.58, 34.52]. The historical stock value data of CGSM for the past 10 hours is: [26.2, 26.2, 26.21, 26.22, 26.23, 26.23, 26.24, 26.25, 26.25, 26.25]. The historical stock value data of ATAI for the past 10 hours is: [1.23, 1.22, 1.22, 1.2, 1.19, 1.18, 1.19, 1.18, 1.18, 1.19]. The historical stock value data of MHK for the past 10 hours is: [149.23, 148.33, 148.78, 149.1, 148.69, 148.67, 149.3, 148.57, 147.58, 147.91]. 
Option B: The historical stock value data of FMN for the past 10 hours is: [12.24, 12.26, 12.27, 12.3, 12.3, 12.29, 12.31, 12.31, 12.31, 12.28]. The historical stock value data of BSX for the past 10 hours is: [81.13, 81.06, 81.39, 81.0, 81.23, 81.17, 81.1, 81.25, 81.54, 81.64]. The historical stock value data of TNON for the past 10 hours is: [4.04, 4.6, 4.83, 4.89, 4.19, 3.86, 3.65, 3.58, 3.36, 3.8]. The historical stock value data of SEPW for the past 10 hours is: [27.88, 27.88, 27.93, 27.86, 27.74, 27.69, 27.72, 27.68, 27.75, 27.71]. 
Option C: The historical stock value data of ELV for the past 10 hours is: [544.5, 543.69, 544.43, 545.07, 546.15, 545.24, 545.9, 544.72, 544.65, 542.15]. The historical stock value data of AMN for the past 10 hours is: [52.84, 52.35, 52.19, 50.13, 48.82, 47.66, 47.36, 46.34, 46.23, 45.64]. The historical stock value data of NPWR for the past 10 hours is: [7.95, 7.88, 7.95, 7.9, 7.81, 7.78, 7.92, 7.8, 7.92, 7.84]. The historical stock value data of LFMD for the past 10 hours is: [5.01, 4.95, 4.94, 4.8, 4.77, 4.78, 4.85, 4.78, 4.82, 4.79]. ",external_data_mc/answer_info/answer_info_32.pkl,external_data_mc/executor_variables/executor_variables_32.pkl
33,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 18 trading days. The options are: [Option A: The portfolio contains the following stocks: USEG, GFI, GNE, JNK weighted by : [0.377, 0.371, 0.17, 0.082].     Option B: The portfolio contains the following stocks: HBCP, QRMI, BANF, PRO weighted by : [0.167, 0.713, 0.108, 0.012].     Option C: The portfolio contains the following stocks: NVRO, INSI, FRSX, GBDC weighted by : [0.311, 0.311, 0.03, 0.349]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: USEG, GFI, GNE, JNK weighted by : [0.377, 0.371, 0.17, 0.082]. ', 'Option B: The portfolio contains the following stocks: HBCP, QRMI, BANF, PRO weighted by : [0.167, 0.713, 0.108, 0.012]. ', 'Option C: The portfolio contains the following stocks: NVRO, INSI, FRSX, GBDC weighted by : [0.311, 0.311, 0.03, 0.349]. ']",B,"Option A: The historical stock value data of USEG for the past 91 days is: [1.32, 1.39, 1.4, 1.38, 1.42, 1.42, 1.38, 1.35, 1.33, 1.38, 1.41, 1.54, 1.43, 1.45, 1.44, 1.4, 1.4, 1.31, 1.25, 1.25, 1.18, 1.18, 1.14, 1.19, 1.19, 1.16, 1.18, 1.2, 1.19, 1.2, 1.16, 1.14, 1.14, 1.17, 1.17, 1.15, 1.13, 1.12, 1.11, 1.09, 1.09, 1.04, 0.92, 0.96, 0.98, 0.97, 1.05, 1.06, 1.08, 1.1, 1.09, 1.11, 1.08, 1.0, 1.0, 1.09, 1.08, 1.06, 1.06, 1.06, 1.04, 1.06, 1.08, 1.11, 1.09, 1.07, 1.06, 1.03, 1.05, 1.06, 1.07, 1.09, 1.09, 1.04, 1.04, 1.04, 1.05, 1.04, 1.03, 1.02, 1.01, 1.01, 1.01, 1.01, 1.02, 1.02, 1.01, 1.01, 1.01, 1.0, 1.0]. The historical stock value data of GFI for the past 91 days is: [12.84, 13.65, 13.73, 13.97, 13.85, 13.7, 13.66, 13.62, 13.27, 13.1, 13.27, 13.26, 13.18, 12.68, 12.67, 12.46, 13.62, 13.38, 12.99, 12.87, 12.61, 12.44, 12.14, 12.78, 12.57, 12.61, 12.57, 12.74, 13.27, 13.3, 13.08, 13.49, 14.73, 14.87, 14.89, 15.07, 14.33, 14.23, 14.21, 14.03, 13.72, 13.72, 13.69, 14.38, 15.89, 15.63, 15.58, 15.87, 15.38, 15.58, 15.46, 15.45, 15.72, 14.03, 14.08, 13.69, 13.01, 12.77, 12.45, 12.27, 12.06, 12.05, 12.16, 12.9, 12.36, 12.17, 12.15, 12.32, 12.33, 12.96, 13.1, 13.27, 13.65, 14.02, 14.27, 14.41, 15.4, 14.15, 13.81, 13.88, 13.72, 13.39, 13.13, 13.34, 12.71, 12.74, 13.11, 13.22, 13.27, 13.17, 12.4]. The historical stock value data of GNE for the past 91 days is: [18.26, 18.6, 19.54, 19.69, 19.3, 18.88, 18.53, 18.64, 19.05, 19.1, 19.14, 18.86, 19.75, 19.51, 19.79, 19.78, 19.95, 22.65, 21.04, 22.58, 24.01, 23.93, 23.55, 25.18, 24.44, 25.12, 25.01, 24.27, 24.67, 25.26, 24.99, 25.27, 24.14, 23.78, 23.92, 23.32, 23.38, 23.45, 24.84, 25.49, 26.15, 26.95, 27.21, 26.82, 27.22, 27.07, 28.19, 28.56, 27.52, 28.41, 29.1, 30.2, 29.41, 28.48, 27.75, 28.04, 27.76, 28.81, 26.64, 26.93, 25.25, 23.4, 22.97, 21.62, 20.51, 19.78, 19.87, 19.23, 19.98, 19.38, 19.08, 19.67, 19.21, 19.44, 19.02, 18.36, 18.99, 18.78, 18.24, 18.18, 18.43, 18.63, 18.24, 18.54, 17.99, 18.36, 18.49, 18.13, 17.61, 17.79, 17.42]. The historical stock value data of JNK for the past 91 days is: [83.93, 83.85, 83.83, 83.43, 83.0, 82.72, 82.85, 83.19, 83.61, 83.21, 83.47, 83.33, 83.35, 83.62, 84.4, 85.32, 86.29, 85.98, 85.87, 85.92, 85.35, 85.79, 85.63, 86.51, 86.25, 86.37, 86.56, 86.63, 86.74, 86.96, 86.88, 87.02, 87.34, 87.79, 87.65, 88.39, 88.17, 88.29, 88.25, 88.41, 88.26, 88.2, 88.43, 89.75, 90.18, 90.0, 90.08, 90.37, 90.34, 90.76, 90.67, 90.85, 91.23, 90.91, 90.59, 90.32, 90.02, 89.67, 89.78, 90.26, 90.41, 90.6, 90.83, 90.97, 90.35, 90.01, 90.16, 90.26, 90.41, 90.35, 90.31, 90.98, 90.86, 91.12, 90.98, 90.73, 91.19, 90.83, 90.4, 90.77, 90.9, 90.92, 91.12, 90.91, 90.18, 90.56, 90.81, 90.59, 90.75, 90.6, 91.03]. 
Option B: The historical stock value data of HBCP for the past 91 days is: [31.72, 31.72, 31.66, 32.06, 31.42, 32.17, 32.68, 32.8, 32.92, 32.92, 33.13, 32.54, 33.63, 33.63, 33.56, 34.74, 35.88, 35.48, 35.7, 35.19, 35.01, 35.47, 35.22, 37.88, 37.32, 37.09, 37.48, 36.81, 35.47, 35.77, 36.14, 35.99, 35.87, 36.7, 35.77, 36.4, 37.28, 36.81, 37.11, 37.9, 38.4, 38.26, 37.79, 38.03, 39.98, 42.12, 41.21, 41.6, 41.53, 41.44, 41.87, 42.15, 42.4, 42.4, 41.22, 41.46, 39.96, 40.02, 40.52, 40.33, 39.95, 40.17, 39.97, 40.33, 37.83, 38.81, 38.73, 39.51, 40.15, 40.83, 40.52, 41.49, 40.61, 42.12, 41.37, 39.07, 38.66, 37.91, 36.65, 36.03, 35.24, 36.6, 36.85, 37.85, 34.77, 36.75, 37.99, 37.15, 36.75, 36.54, 36.03]. The historical stock value data of QRMI for the past 91 days is: [15.54, 15.41, 15.57, 15.53, 15.35, 15.24, 15.08, 15.06, 15.1, 15.04, 14.91, 14.93, 15.01, 15.02, 15.13, 15.23, 15.27, 15.28, 15.29, 15.32, 15.32, 15.34, 15.37, 15.35, 15.38, 15.34, 15.37, 15.45, 15.41, 15.44, 15.43, 15.47, 15.47, 15.47, 15.45, 15.47, 15.46, 15.45, 15.42, 15.51, 15.54, 15.57, 15.6, 15.6, 15.58, 15.71, 15.73, 15.76, 15.66, 15.73, 15.74, 15.75, 15.8, 15.78, 15.81, 15.68, 15.63, 15.61, 15.6, 15.81, 15.82, 15.85, 15.88, 15.9, 15.9, 15.93, 15.94, 16.05, 16.09, 16.12, 16.13, 16.11, 16.12, 16.16, 16.14, 16.09, 16.12, 16.22, 16.21, 16.21, 16.23, 16.28, 16.26, 16.28, 16.27, 16.26, 16.3, 16.19, 16.11, 16.09, 16.27]. The historical stock value data of BANF for the past 91 days is: [83.49, 81.53, 82.64, 84.68, 82.16, 81.27, 82.42, 81.03, 79.99, 80.43, 80.62, 79.54, 79.9, 79.95, 80.22, 83.49, 84.45, 83.57, 82.45, 80.81, 80.22, 80.83, 81.58, 87.2, 86.38, 84.93, 85.25, 85.81, 84.86, 84.78, 84.69, 84.74, 83.29, 84.32, 85.4, 88.74, 89.45, 88.93, 89.01, 90.04, 90.89, 90.33, 88.92, 93.83, 94.72, 93.13, 92.81, 95.6, 94.61, 95.54, 96.68, 98.25, 98.63, 98.57, 96.36, 96.02, 92.48, 92.62, 91.75, 92.75, 91.87, 92.16, 91.31, 90.93, 87.44, 87.99, 89.06, 89.13, 93.56, 92.37, 92.1, 91.5, 91.93, 92.59, 92.34, 87.63, 87.45, 86.59, 85.47, 85.51, 85.96, 86.03, 87.83, 89.59, 84.37, 86.38, 89.62, 89.14, 87.8, 86.55, 86.84]. The historical stock value data of PRO for the past 91 days is: [34.16, 33.8, 33.72, 33.71, 33.51, 33.58, 33.05, 33.31, 33.46, 33.26, 32.6, 32.42, 32.06, 31.15, 33.63, 34.79, 35.25, 35.25, 35.58, 35.66, 34.82, 34.76, 33.66, 35.5, 36.15, 35.89, 36.75, 37.27, 36.57, 36.07, 36.59, 35.43, 35.48, 36.28, 36.55, 39.1, 39.72, 38.77, 38.29, 37.58, 37.24, 37.36, 37.24, 39.2, 39.25, 39.57, 39.62, 39.78, 38.55, 39.6, 39.7, 39.82, 39.73, 39.69, 38.79, 35.1, 34.62, 33.5, 32.87, 34.52, 34.31, 34.66, 34.56, 35.18, 34.87, 34.77, 34.92, 35.72, 36.91, 36.59, 35.78, 35.64, 35.84, 36.31, 35.99, 34.42, 35.61, 35.87, 34.98, 35.26, 34.74, 36.01, 36.75, 36.79, 35.73, 36.75, 37.59, 35.67, 35.92, 34.24, 33.93]. 
Option C: The historical stock value data of NVRO for the past 91 days is: [16.49, 16.91, 16.98, 16.96, 16.98, 16.48, 16.17, 15.69, 15.75, 15.44, 15.15, 14.44, 14.18, 14.43, 14.6, 14.97, 16.07, 16.32, 16.59, 16.2, 15.61, 15.04, 15.26, 16.94, 17.08, 16.91, 16.58, 16.58, 16.06, 16.31, 16.3, 16.51, 16.67, 16.76, 17.32, 18.82, 18.88, 18.43, 18.92, 19.49, 19.95, 20.06, 20.55, 20.64, 22.29, 21.62, 21.8, 21.69, 21.06, 21.26, 21.5, 21.99, 22.31, 22.09, 21.52, 20.76, 19.14, 19.39, 19.36, 20.38, 20.78, 20.31, 18.72, 18.4, 18.3, 18.4, 18.14, 18.61, 19.01, 18.74, 18.27, 18.09, 17.92, 17.63, 16.65, 16.56, 17.22, 16.26, 16.43, 17.62, 17.19, 17.06, 17.15, 17.39, 16.53, 16.97, 17.14, 17.32, 17.19, 16.59, 16.51]. The historical stock value data of INSI for the past 91 days is: [14.13, 14.19, 14.15, 14.18, 14.09, 14.1, 13.96, 14.11, 14.13, 13.79, 13.86, 13.85, 13.81, 13.84, 13.93, 14.1, 14.2, 14.15, 14.21, 14.26, 14.2, 14.38, 14.26, 14.55, 14.53, 14.51, 14.47, 14.49, 14.58, 14.62, 14.57, 14.64, 14.68, 14.75, 14.69, 14.85, 14.79, 14.84, 14.95, 15.07, 15.01, 14.96, 15.04, 15.18, 15.3, 15.57, 15.36, 15.42, 15.46, 15.54, 15.59, 15.86, 15.76, 15.75, 15.58, 15.65, 15.61, 15.58, 15.59, 15.6, 15.56, 15.67, 15.71, 15.74, 15.57, 15.61, 15.54, 15.39, 15.49, 15.52, 15.49, 15.49, 15.46, 15.49, 15.54, 15.64, 15.73, 15.64, 15.56, 15.82, 15.73, 15.54, 15.53, 15.55, 15.33, 15.36, 15.37, 15.41, 15.45, 15.42, 15.35]. The historical stock value data of FRSX for the past 91 days is: [1.93, 1.95, 1.91, 1.89, 1.8, 1.66, 1.6, 1.56, 1.57, 1.63, 1.68, 1.52, 1.68, 1.71, 1.78, 1.62, 1.61, 1.6, 1.57, 1.53, 1.45, 1.49, 1.5, 1.55, 1.57, 1.55, 1.57, 1.71, 1.75, 1.74, 1.86, 1.92, 2.09, 1.99, 1.93, 2.02, 1.97, 1.92, 1.9, 1.26, 1.26, 1.28, 1.21, 1.11, 1.11, 1.16, 1.18, 1.22, 1.16, 1.2, 1.14, 1.16, 1.11, 1.08, 1.03, 1.05, 1.15, 1.12, 1.1, 1.05, 1.04, 1.02, 1.04, 1.0, 0.96, 0.95, 0.94, 0.94, 0.92, 0.99, 1.08, 1.02, 1.15, 1.4, 1.21, 1.15, 1.04, 1.06, 1.14, 1.11, 1.1, 1.1, 1.13, 1.11, 1.05, 1.09, 1.12, 1.08, 1.0, 1.08, 1.09]. The historical stock value data of GBDC for the past 91 days is: [12.62, 12.68, 13.02, 13.05, 13.01, 12.77, 12.63, 12.55, 12.63, 12.57, 12.63, 12.53, 12.67, 12.75, 12.88, 13.06, 13.09, 13.06, 13.03, 13.0, 13.02, 13.06, 13.11, 13.19, 13.2, 13.14, 13.19, 13.29, 13.46, 13.41, 13.45, 13.36, 13.26, 13.18, 13.24, 13.28, 13.31, 13.33, 13.25, 13.27, 13.35, 13.39, 13.54, 13.62, 13.68, 13.72, 13.68, 13.78, 13.66, 13.71, 13.75, 13.78, 13.83, 13.97, 13.77, 13.76, 13.74, 13.94, 13.95, 14.05, 13.97, 14.04, 13.95, 13.9, 13.76, 13.87, 14.0, 14.05, 14.17, 14.28, 14.05, 14.17, 14.24, 14.15, 14.16, 13.92, 13.89, 13.94, 13.99, 13.8, 14.06, 13.97, 14.0, 14.18, 14.09, 14.2, 14.43, 14.51, 14.61, 14.6, 14.68]. ",external_data_mc/answer_info/answer_info_33.pkl,external_data_mc/executor_variables/executor_variables_33.pkl
34,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 8 trading hours. The options are: [Option A: The portfolio contains the following stocks: TKNO weighted by : [1.0].     Option B: The portfolio contains the following stocks: WTW weighted by : [1.0].     Option C: The portfolio contains the following stocks: DNN weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: TKNO weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: WTW weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: DNN weighted by : [1.0]. ']",C,"Option A: The historical stock value data of TKNO for the past 16 hours is: [4.56, 4.37, 4.35, 4.41, 4.56, 4.61, 4.57, 4.59, 4.43, 4.32, 4.36, 4.34, 4.25, 4.14, 4.23, 4.03]. 
Option B: The historical stock value data of WTW for the past 16 hours is: [293.66, 292.72, 290.43, 290.55, 290.62, 290.25, 291.1, 291.15, 292.05, 292.97, 294.05, 294.73, 293.98, 293.28, 294.39, 292.67]. 
Option C: The historical stock value data of DNN for the past 16 hours is: [1.49, 1.45, 1.42, 1.41, 1.43, 1.42, 1.45, 1.43, 1.46, 1.45, 1.46, 1.47, 1.45, 1.45, 1.44, 1.45]. ",external_data_mc/answer_info/answer_info_34.pkl,external_data_mc/executor_variables/executor_variables_34.pkl
35,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 22 trading days. The options are: [Option A: The portfolio contains the following stocks: VFQY, EQTY, BBHY, HXL weighted by : [0.196, 0.253, 0.315, 0.236].     Option B: The portfolio contains the following stocks: ARCB, DEHP, CANG, IPAY weighted by : [0.419, 0.224, 0.274, 0.082].     Option C: The portfolio contains the following stocks: FMBH, CYRX, OCSL, PREF weighted by : [0.185, 0.083, 0.072, 0.661]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: VFQY, EQTY, BBHY, HXL weighted by : [0.196, 0.253, 0.315, 0.236]. ', 'Option B: The portfolio contains the following stocks: ARCB, DEHP, CANG, IPAY weighted by : [0.419, 0.224, 0.274, 0.082]. ', 'Option C: The portfolio contains the following stocks: FMBH, CYRX, OCSL, PREF weighted by : [0.185, 0.083, 0.072, 0.661]. ']",B,"Option A: The historical stock value data of VFQY for the past 47 days is: [111.51, 115.08, 115.53, 114.25, 115.12, 115.61, 115.07, 115.54, 115.85, 115.74, 115.31, 115.73, 116.48, 118.59, 118.94, 118.25, 117.84, 118.75, 119.27, 120.63, 120.79, 123.17, 124.65, 124.26, 124.45, 125.9, 124.07, 125.49, 125.85, 126.65, 126.5, 126.4, 125.6, 124.97, 122.85, 122.48, 122.38, 123.89, 123.54, 123.97, 124.11, 124.09, 123.37, 122.86, 123.84, 125.48, 126.55]. The historical stock value data of EQTY for the past 47 days is: [18.07, 18.47, 18.57, 18.53, 18.58, 18.72, 18.58, 18.64, 18.67, 18.64, 18.61, 18.69, 18.85, 19.04, 18.97, 18.87, 18.79, 18.97, 19.03, 19.08, 19.18, 19.43, 19.64, 19.63, 19.73, 19.88, 19.58, 19.81, 19.81, 19.88, 19.9, 19.95, 19.88, 19.75, 19.56, 19.5, 19.52, 19.84, 19.74, 19.85, 19.78, 19.76, 19.63, 19.51, 19.71, 19.89, 19.94]. The historical stock value data of BBHY for the past 47 days is: [41.47, 41.87, 41.76, 41.83, 41.9, 41.95, 42.0, 42.09, 42.06, 42.14, 42.28, 42.51, 42.4, 42.71, 42.64, 42.74, 42.73, 42.8, 42.73, 42.71, 42.83, 43.44, 43.59, 43.53, 43.57, 43.7, 43.71, 43.88, 43.86, 43.92, 44.1, 43.94, 43.84, 43.67, 43.55, 43.41, 43.45, 43.63, 43.72, 43.79, 43.96, 44.0, 43.79, 43.63, 43.61, 43.76, 43.77]. The historical stock value data of HXL for the past 47 days is: [65.15, 66.37, 66.14, 65.38, 65.58, 66.5, 66.2, 66.78, 67.29, 67.19, 67.44, 67.27, 68.85, 70.98, 71.42, 69.59, 70.37, 69.81, 70.88, 70.81, 72.4, 73.22, 71.91, 72.06, 72.47, 73.39, 71.52, 72.81, 73.14, 73.87, 73.52, 73.44, 73.26, 72.22, 70.44, 70.8, 70.99, 70.11, 70.08, 70.62, 71.39, 71.25, 70.27, 70.68, 70.75, 70.76, 71.03]. 
Option B: The historical stock value data of ARCB for the past 47 days is: [116.14, 120.87, 121.77, 120.79, 120.63, 121.09, 121.05, 121.87, 121.28, 120.84, 118.9, 117.1, 118.83, 124.34, 124.35, 112.61, 107.55, 107.33, 107.43, 108.31, 108.62, 109.4, 112.76, 113.82, 113.97, 115.98, 116.94, 118.56, 118.82, 121.78, 122.08, 121.63, 119.84, 120.69, 116.06, 116.17, 115.21, 118.28, 117.26, 118.33, 117.51, 117.59, 115.77, 115.02, 115.77, 118.03, 122.98]. The historical stock value data of DEHP for the past 47 days is: [22.58, 23.06, 23.18, 23.02, 23.09, 23.39, 23.21, 23.19, 23.13, 23.06, 23.31, 23.25, 23.28, 23.36, 23.06, 22.86, 22.91, 22.96, 22.91, 23.02, 23.03, 23.26, 23.57, 23.43, 23.42, 23.6, 23.16, 23.61, 23.54, 23.79, 23.86, 24.0, 24.02, 23.76, 23.61, 23.5, 23.55, 23.65, 23.33, 23.35, 23.44, 23.52, 23.05, 22.67, 22.91, 23.14, 23.01]. The historical stock value data of CANG for the past 47 days is: [1.12, 1.12, 1.15, 1.11, 1.13, 1.15, 1.12, 1.13, 1.16, 1.1, 1.11, 1.1, 1.03, 1.02, 1.05, 1.04, 1.02, 0.93, 0.99, 0.96, 0.98, 0.98, 0.94, 0.95, 0.95, 0.99, 1.0, 1.0, 1.02, 1.02, 1.02, 1.05, 1.02, 1.01, 1.01, 0.99, 1.0, 1.0, 0.99, 1.02, 1.0, 0.98, 1.05, 1.06, 1.08, 1.09, 1.09]. The historical stock value data of IPAY for the past 47 days is: [39.04, 40.42, 40.84, 40.31, 40.72, 41.07, 40.74, 40.98, 41.28, 41.4, 42.05, 42.09, 42.41, 43.33, 43.2, 42.94, 43.29, 43.42, 43.69, 43.83, 43.97, 44.86, 45.31, 45.03, 45.33, 46.29, 45.33, 46.15, 46.24, 46.5, 46.74, 46.89, 46.4, 45.8, 44.83, 44.78, 45.07, 46.07, 45.69, 45.65, 45.86, 45.52, 45.04, 44.52, 44.48, 45.04, 45.55]. 
Option C: The historical stock value data of FMBH for the past 47 days is: [28.67, 30.21, 30.35, 30.1, 30.51, 30.62, 30.15, 30.2, 30.59, 30.22, 29.87, 30.47, 30.35, 31.04, 31.6, 31.34, 31.27, 31.4, 31.65, 31.63, 31.63, 33.45, 33.99, 33.93, 33.71, 34.29, 33.73, 33.59, 33.88, 34.55, 34.99, 34.63, 33.94, 33.83, 33.11, 33.04, 33.06, 32.97, 32.43, 32.36, 32.17, 31.91, 31.21, 31.47, 31.77, 31.81, 32.78]. The historical stock value data of CYRX for the past 47 days is: [11.25, 13.13, 13.3, 13.37, 13.62, 13.87, 13.55, 14.02, 14.7, 14.14, 13.69, 13.84, 14.02, 14.82, 15.64, 14.77, 14.52, 14.77, 15.23, 14.97, 14.71, 16.01, 16.59, 15.94, 15.56, 16.33, 15.65, 16.23, 16.09, 16.07, 16.13, 15.97, 15.49, 15.46, 15.1, 15.43, 15.45, 16.22, 15.59, 14.84, 14.82, 14.61, 14.49, 14.31, 14.27, 14.45, 14.77]. The historical stock value data of OCSL for the past 47 days is: [17.57, 17.59, 17.65, 17.57, 17.64, 17.6, 17.52, 17.66, 17.73, 17.74, 17.73, 17.63, 17.71, 17.71, 17.78, 17.71, 17.72, 17.91, 18.04, 18.07, 18.12, 18.25, 18.36, 18.4, 18.54, 18.52, 18.46, 18.56, 18.66, 18.75, 18.86, 18.93, 18.65, 18.63, 18.69, 19.19, 19.09, 19.17, 19.18, 19.38, 19.34, 19.41, 19.3, 19.51, 19.49, 19.51, 19.55]. The historical stock value data of PREF for the past 47 days is: [16.17, 16.23, 16.25, 16.27, 16.29, 16.25, 16.23, 16.25, 16.3, 16.3, 16.34, 16.42, 16.42, 16.48, 16.47, 16.52, 16.5, 16.52, 16.51, 16.56, 16.58, 16.63, 16.8, 16.79, 16.85, 16.87, 16.89, 16.9, 16.92, 16.93, 16.96, 16.95, 16.96, 16.95, 16.92, 16.88, 16.96, 16.95, 16.98, 17.03, 17.09, 17.07, 17.08, 17.08, 17.1, 17.1, 17.15]. ",external_data_mc/answer_info/answer_info_35.pkl,external_data_mc/executor_variables/executor_variables_35.pkl
36,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 21 trading days. The options are: [Option A: The portfolio contains the following stocks: CRNX weighted by : [1.0].     Option B: The portfolio contains the following stocks: LTH weighted by : [1.0].     Option C: The portfolio contains the following stocks: AAP weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: CRNX weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: LTH weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: AAP weighted by : [1.0]. ']",A,"Option A: The historical stock value data of CRNX for the past 65 days is: [19.61, 20.0, 18.71, 18.54, 18.6, 18.86, 18.46, 18.79, 19.0, 19.45, 19.17, 19.2, 18.7, 18.0, 17.3, 16.68, 16.79, 16.51, 16.84, 16.72, 16.27, 16.21, 16.14, 16.05, 17.38, 18.0, 17.19, 17.08, 17.03, 16.52, 16.52, 17.32, 17.44, 16.78, 16.58, 16.16, 15.97, 26.08, 30.59, 28.54, 29.28, 29.49, 28.63, 29.39, 28.62, 29.17, 28.82, 29.61, 28.69, 28.03, 29.34, 29.74, 27.14, 27.33, 25.62, 26.8, 26.86, 26.8, 26.97, 27.15, 26.46, 29.11, 29.31, 28.69, 28.52]. 
Option B: The historical stock value data of LTH for the past 65 days is: [21.78, 21.24, 21.26, 21.53, 18.61, 18.04, 18.06, 18.03, 18.09, 17.16, 17.52, 17.13, 17.24, 16.81, 17.08, 16.89, 16.76, 17.4, 17.24, 16.87, 16.55, 16.06, 16.75, 16.65, 16.94, 16.88, 16.61, 16.42, 16.38, 16.72, 16.8, 17.2, 17.2, 17.02, 16.98, 16.53, 16.21, 16.17, 16.19, 15.98, 16.39, 15.02, 15.33, 15.39, 15.69, 15.14, 15.11, 15.24, 14.79, 15.1, 15.06, 15.21, 15.33, 14.9, 14.66, 14.09, 14.23, 14.42, 15.15, 15.48, 14.77, 14.5, 14.94, 15.25, 14.97]. 
Option C: The historical stock value data of AAP for the past 65 days is: [71.27, 68.88, 69.59, 71.59, 70.4, 71.91, 71.47, 71.99, 73.19, 72.53, 68.52, 70.87, 69.86, 70.15, 69.42, 70.05, 70.38, 71.11, 69.96, 68.6, 68.74, 68.34, 68.7, 67.1, 66.25, 68.32, 66.81, 63.05, 64.57, 65.86, 67.0, 67.71, 66.56, 66.47, 65.92, 62.37, 63.57, 61.53, 56.53, 57.0, 58.66, 58.85, 57.22, 58.7, 59.15, 57.3, 56.67, 56.0, 54.06, 53.94, 54.18, 55.03, 53.07, 52.54, 51.53, 52.11, 51.15, 50.53, 51.25, 50.43, 49.4, 50.18, 52.98, 54.06, 52.64]. ",external_data_mc/answer_info/answer_info_36.pkl,external_data_mc/executor_variables/executor_variables_36.pkl
37,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 25 trading days. The options are: [Option A: The portfolio contains the following stocks: CRTO, DFS, NSC, WSO weighted by : [0.356, 0.394, 0.194, 0.057].     Option B: The portfolio contains the following stocks: APLD, EMBC, ALNY, RVSN weighted by : [0.377, 0.131, 0.305, 0.187].     Option C: The portfolio contains the following stocks: LMT, QJUN, IVOV, SNN weighted by : [0.393, 0.37, 0.115, 0.122]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: CRTO, DFS, NSC, WSO weighted by : [0.356, 0.394, 0.194, 0.057]. ', 'Option B: The portfolio contains the following stocks: APLD, EMBC, ALNY, RVSN weighted by : [0.377, 0.131, 0.305, 0.187]. ', 'Option C: The portfolio contains the following stocks: LMT, QJUN, IVOV, SNN weighted by : [0.393, 0.37, 0.115, 0.122]. ']",C,"Option A: The historical stock value data of CRTO for the past 89 days is: [33.02, 33.47, 33.61, 33.74, 33.92, 33.64, 33.49, 33.37, 33.9, 34.4, 34.57, 34.57, 34.01, 34.18, 34.1, 33.74, 32.93, 32.77, 32.66, 32.73, 32.87, 32.23, 32.98, 33.3, 33.34, 31.71, 30.85, 31.02, 30.21, 30.93, 30.0, 29.78, 29.88, 29.81, 29.48, 29.16, 28.69, 29.16, 29.08, 28.91, 29.27, 28.96, 28.86, 28.63, 29.08, 29.45, 29.5, 29.64, 29.53, 29.17, 29.03, 28.78, 28.95, 28.46, 29.5, 29.4, 29.3, 29.3, 28.98, 28.74, 28.1, 28.11, 27.89, 27.92, 28.33, 29.01, 29.2, 29.1, 28.65, 28.62, 28.75, 28.84, 29.08, 29.01, 29.64, 29.0, 28.23, 28.84, 29.1, 28.64, 28.84, 28.79, 27.77, 28.7, 27.83, 27.58, 27.68, 27.91, 28.27]. The historical stock value data of DFS for the past 89 days is: [113.57, 113.66, 114.13, 113.11, 114.31, 112.58, 111.94, 113.2, 114.7, 115.67, 115.31, 115.85, 114.77, 116.52, 117.81, 117.95, 99.17, 101.75, 105.36, 104.51, 103.09, 100.85, 101.32, 102.18, 101.47, 99.85, 99.31, 99.09, 99.65, 101.29, 101.02, 100.29, 100.25, 99.37, 89.99, 87.37, 89.43, 90.36, 89.09, 86.16, 86.44, 86.97, 86.58, 87.35, 88.15, 87.54, 87.88, 89.82, 89.58, 89.29, 87.22, 87.39, 87.45, 86.97, 86.52, 87.89, 87.56, 86.32, 86.65, 86.51, 85.42, 85.07, 85.44, 84.75, 83.19, 84.23, 84.53, 88.62, 85.14, 85.23, 85.03, 86.54, 87.8, 89.12, 88.55, 88.53, 87.23, 88.61, 90.76, 89.62, 82.53, 80.19, 80.37, 79.1, 78.64, 78.86, 78.53, 79.17, 80.09]. The historical stock value data of NSC for the past 89 days is: [215.98, 216.54, 219.27, 220.03, 222.09, 220.45, 220.47, 219.99, 222.14, 225.13, 224.12, 226.59, 227.81, 226.26, 228.16, 230.36, 230.44, 226.1, 228.39, 230.14, 229.9, 228.36, 229.64, 226.66, 227.03, 223.39, 221.84, 219.26, 218.91, 214.32, 212.78, 212.28, 210.74, 210.27, 203.85, 202.67, 203.5, 207.03, 205.06, 203.72, 205.56, 203.56, 205.6, 206.14, 202.75, 204.41, 200.1, 201.44, 196.27, 193.67, 191.49, 190.95, 191.28, 193.79, 195.92, 201.65, 199.14, 199.24, 197.07, 200.37, 196.46, 197.65, 198.02, 193.52, 191.52, 192.65, 192.21, 186.91, 187.81, 188.34, 186.12, 186.92, 191.06, 196.0, 197.16, 196.17, 196.13, 202.58, 202.85, 198.57, 195.3, 196.87, 192.18, 191.54, 181.34, 180.86, 180.11, 183.08, 186.22]. The historical stock value data of WSO for the past 89 days is: [364.55, 365.16, 365.91, 369.81, 366.4, 366.47, 361.38, 359.06, 363.37, 357.51, 360.35, 357.58, 355.87, 362.1, 362.0, 360.45, 359.02, 357.39, 358.15, 358.8, 364.01, 360.43, 367.34, 369.08, 367.87, 350.84, 353.5, 351.07, 355.03, 351.91, 348.92, 346.88, 349.39, 352.75, 352.01, 343.45, 332.82, 336.33, 341.2, 340.67, 342.36, 338.03, 341.23, 344.42, 352.84, 355.05, 355.77, 356.43, 342.98, 346.37, 344.5, 341.07, 342.57, 337.3, 337.59, 347.39, 344.17, 349.96, 347.28, 347.98, 338.13, 347.8, 351.35, 347.15, 368.64, 371.21, 368.62, 366.51, 361.23, 374.28, 375.59, 378.59, 386.66, 389.61, 393.02, 387.45, 373.45, 375.54, 379.0, 361.62, 347.67, 341.42, 337.38, 340.96, 334.45, 336.6, 336.8, 340.12, 342.68]. 
Option B: The historical stock value data of APLD for the past 89 days is: [7.38, 7.74, 8.34, 9.35, 9.91, 8.97, 7.7, 8.37, 8.29, 8.44, 7.95, 8.09, 7.47, 7.53, 8.04, 8.4, 7.73, 7.72, 8.78, 10.24, 10.0, 9.97, 9.4, 9.58, 9.26, 8.39, 8.01, 7.79, 7.9, 7.58, 7.34, 7.15, 7.05, 7.37, 6.56, 6.43, 6.14, 6.0, 5.9, 6.14, 6.78, 5.97, 5.87, 5.79, 6.17, 6.35, 6.04, 5.78, 5.57, 5.64, 5.24, 5.18, 5.21, 5.48, 5.27, 5.4, 5.26, 4.96, 4.99, 5.24, 5.2, 5.29, 5.42, 5.68, 6.06, 6.33, 6.24, 6.13, 5.38, 5.47, 5.2, 5.17, 4.81, 5.41, 5.26, 5.17, 5.13, 5.49, 5.46, 4.86, 5.01, 4.69, 4.84, 5.07, 4.78, 4.75, 4.81, 4.58, 4.88]. The historical stock value data of EMBC for the past 89 days is: [22.15, 21.81, 21.49, 20.56, 19.99, 19.79, 19.29, 19.4, 19.84, 19.47, 19.26, 19.5, 20.31, 19.25, 19.09, 18.8, 18.81, 19.46, 19.28, 19.95, 20.27, 20.18, 20.26, 20.31, 20.15, 19.97, 20.27, 20.4, 20.57, 21.1, 20.46, 19.82, 19.83, 19.61, 18.73, 17.97, 17.66, 17.32, 16.34, 16.4, 16.8, 16.26, 16.45, 16.75, 17.39, 17.62, 17.6, 17.51, 17.34, 17.38, 15.08, 15.3, 15.52, 16.04, 15.92, 15.83, 15.64, 15.62, 15.64, 15.1, 14.86, 14.56, 14.69, 14.61, 14.61, 14.4, 14.45, 14.1, 12.36, 12.77, 13.16, 13.5, 14.1, 14.41, 14.51, 14.63, 14.69, 15.18, 14.97, 14.79, 14.71, 14.88, 14.89, 15.75, 14.33, 14.28, 14.16, 14.64, 14.52]. The historical stock value data of ALNY for the past 89 days is: [188.8, 196.56, 191.06, 189.94, 189.69, 192.57, 194.39, 192.68, 199.81, 202.15, 201.9, 203.88, 197.1, 202.83, 208.42, 205.32, 201.44, 200.07, 192.32, 193.46, 194.94, 194.87, 199.29, 195.4, 189.05, 187.01, 190.1, 185.58, 184.29, 184.84, 186.36, 185.03, 185.79, 181.35, 180.13, 182.43, 183.89, 186.03, 188.73, 189.38, 190.38, 186.77, 189.26, 191.66, 194.46, 197.16, 197.82, 201.17, 200.34, 201.45, 201.1, 201.43, 203.72, 211.65, 211.65, 193.06, 184.99, 179.77, 175.66, 175.52, 173.85, 171.55, 170.77, 175.05, 176.86, 174.03, 177.1, 178.96, 172.91, 169.17, 178.71, 176.92, 168.32, 169.06, 167.82, 165.29, 168.12, 167.25, 165.98, 165.08, 160.5, 161.79, 162.0, 163.96, 159.49, 155.66, 151.76, 151.41, 151.8]. The historical stock value data of RVSN for the past 89 days is: [4.16, 3.92, 4.2, 4.08, 4.16, 4.66, 4.48, 4.12, 4.18, 4.25, 4.32, 4.54, 4.5, 4.32, 4.1, 3.74, 4.14, 4.28, 4.28, 3.96, 4.21, 4.26, 4.04, 4.24, 3.93, 4.23, 3.97, 3.7, 3.76, 3.64, 3.73, 3.82, 3.52, 3.46, 3.32, 3.28, 3.59, 3.6, 3.84, 4.03, 4.0, 4.06, 3.96, 4.16, 4.12, 3.89, 3.89, 3.96, 3.95, 4.16, 4.14, 4.14, 4.16, 4.29, 4.2, 4.04, 4.03, 4.08, 3.98, 4.08, 3.83, 3.88, 3.76, 3.8, 3.76, 3.92, 4.0, 4.0, 3.95, 4.0, 3.96, 3.97, 4.38, 4.28, 3.9, 3.73, 3.44, 3.44, 3.5, 3.56, 3.5, 3.53, 3.53, 3.32, 3.12, 3.09, 2.37, 2.38, 2.32]. 
Option C: The historical stock value data of LMT for the past 89 days is: [438.29, 434.91, 442.44, 445.28, 447.41, 447.58, 446.5, 443.67, 445.28, 451.0, 446.81, 451.08, 449.08, 454.56, 440.75, 436.7, 441.05, 439.85, 441.82, 439.26, 437.96, 433.93, 434.27, 431.73, 436.48, 433.85, 433.23, 431.1, 435.03, 434.73, 437.96, 435.29, 439.16, 435.32, 429.03, 430.53, 432.03, 435.3, 436.68, 438.08, 439.66, 437.71, 436.3, 437.49, 433.69, 437.57, 436.54, 436.37, 433.46, 412.77, 414.72, 411.95, 409.58, 406.82, 409.9, 414.67, 412.88, 418.54, 414.11, 415.7, 406.54, 402.75, 402.02, 397.98, 397.95, 400.14, 398.19, 397.08, 393.19, 390.76, 386.88, 390.17, 425.03, 423.64, 425.15, 422.7, 429.44, 428.81, 429.51, 434.32, 437.35, 432.47, 434.41, 429.29, 435.9, 434.22, 431.71, 434.1, 442.66]. The historical stock value data of QJUN for the past 89 days is: [21.98, 22.02, 22.04, 22.25, 22.25, 22.25, 22.1, 22.1, 22.07, 22.16, 22.36, 22.63, 22.62, 22.75, 22.84, 22.83, 22.46, 22.44, 22.5, 22.62, 22.57, 22.52, 22.75, 22.78, 22.75, 22.42, 22.4, 22.34, 22.46, 22.34, 22.2, 22.26, 22.15, 22.3, 22.08, 21.96, 21.82, 21.82, 22.05, 22.03, 22.26, 21.95, 22.06, 22.19, 22.51, 22.59, 22.64, 22.6, 22.64, 22.51, 22.42, 22.46, 22.6, 22.48, 22.5, 22.66, 22.33, 22.42, 22.43, 22.19, 21.89, 21.92, 21.96, 21.72, 21.79, 21.91, 21.87, 21.99, 21.78, 21.99, 21.88, 22.14, 22.2, 22.36, 22.41, 22.36, 22.17, 22.34, 22.26, 22.13, 22.02, 21.73, 21.83, 22.0, 21.59, 21.25, 21.4, 21.56, 21.63]. The historical stock value data of IVOV for the past 89 days is: [79.68, 79.52, 80.54, 81.08, 81.46, 80.69, 79.77, 80.57, 81.51, 82.55, 83.08, 83.69, 82.76, 83.12, 83.89, 84.43, 84.01, 83.55, 83.82, 83.85, 84.51, 83.49, 84.18, 84.57, 84.39, 83.54, 83.16, 83.04, 83.65, 82.97, 82.44, 82.3, 82.19, 82.21, 81.02, 80.12, 79.22, 79.38, 79.32, 78.83, 79.7, 79.02, 79.17, 80.0, 81.05, 81.28, 81.44, 82.26, 80.47, 80.12, 79.19, 79.04, 78.98, 79.0, 78.45, 79.51, 78.83, 78.58, 78.47, 78.12, 76.8, 76.62, 76.98, 75.66, 75.79, 76.84, 76.74, 75.58, 74.16, 74.65, 74.46, 74.99, 75.34, 76.12, 76.44, 74.96, 74.36, 75.67, 76.59, 74.83, 73.58, 72.86, 72.17, 72.58, 71.54, 71.97, 70.72, 71.51, 72.22]. The historical stock value data of SNN for the past 89 days is: [30.79, 30.94, 30.48, 31.28, 29.68, 29.33, 28.82, 28.94, 29.4, 29.46, 29.72, 29.78, 30.08, 29.92, 29.78, 30.06, 30.02, 30.18, 29.83, 29.93, 30.34, 29.57, 29.76, 29.47, 29.05, 28.42, 27.62, 27.72, 27.68, 27.37, 27.51, 27.42, 27.58, 27.2, 26.59, 26.47, 26.62, 26.36, 26.51, 26.19, 26.29, 25.86, 25.95, 26.02, 26.38, 26.41, 26.13, 26.06, 25.37, 25.43, 25.62, 25.75, 25.98, 25.68, 25.79, 25.66, 25.51, 25.32, 25.1, 25.02, 24.65, 24.6, 24.61, 24.31, 23.6, 24.07, 24.02, 23.33, 23.03, 23.04, 23.11, 23.27, 23.35, 23.52, 22.7, 22.32, 22.46, 22.8, 22.48, 22.14, 21.83, 22.01, 21.89, 21.83, 21.51, 21.16, 21.25, 21.59, 21.83]. ",external_data_mc/answer_info/answer_info_37.pkl,external_data_mc/executor_variables/executor_variables_37.pkl
38,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 15 trading days. The options are: [Option A: The portfolio contains the following stocks: MFDX, GEM weighted by : [0.466, 0.534].     Option B: The portfolio contains the following stocks: IBHD, PWP weighted by : [0.516, 0.484].     Option C: The portfolio contains the following stocks: BBIN, DNMR weighted by : [0.295, 0.705]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: MFDX, GEM weighted by : [0.466, 0.534]. ', 'Option B: The portfolio contains the following stocks: IBHD, PWP weighted by : [0.516, 0.484]. ', 'Option C: The portfolio contains the following stocks: BBIN, DNMR weighted by : [0.295, 0.705]. ']",A,"Option A: The historical stock value data of MFDX for the past 79 days is: [27.69, 27.76, 27.66, 27.85, 27.84, 27.55, 27.08, 27.0, 27.11, 27.31, 27.18, 27.21, 27.26, 27.12, 27.02, 26.71, 26.55, 26.41, 26.37, 26.48, 26.42, 26.66, 26.34, 26.5, 26.74, 27.09, 27.09, 27.05, 27.04, 26.82, 26.77, 26.71, 26.67, 26.98, 26.91, 26.85, 27.2, 27.11, 27.04, 27.09, 27.03, 26.68, 26.66, 26.56, 26.23, 26.18, 26.4, 26.22, 25.85, 25.44, 25.4, 25.64, 25.92, 25.9, 26.25, 26.33, 26.08, 25.86, 26.07, 26.07, 25.68, 25.47, 25.25, 25.24, 25.36, 25.19, 25.06, 25.01, 25.31, 25.42, 25.63, 26.14, 26.36, 26.25, 26.03, 25.92, 25.94, 26.11, 26.24]. The historical stock value data of GEM for the past 79 days is: [30.62, 30.67, 30.41, 31.0, 31.05, 30.71, 30.03, 30.15, 30.18, 30.04, 29.66, 29.81, 29.77, 29.44, 29.32, 29.04, 28.83, 28.91, 28.68, 28.73, 28.73, 29.1, 29.01, 29.0, 29.3, 29.59, 29.45, 29.1, 29.4, 29.29, 29.13, 28.85, 28.88, 29.23, 29.11, 29.17, 29.32, 29.21, 29.2, 29.1, 29.03, 28.6, 28.88, 28.84, 28.42, 28.45, 28.5, 28.5, 28.38, 28.06, 27.98, 28.07, 28.41, 28.3, 28.66, 28.77, 28.53, 28.39, 28.57, 28.53, 28.1, 27.98, 27.66, 27.58, 27.89, 27.58, 27.52, 27.45, 27.75, 27.64, 27.9, 28.39, 28.86, 29.03, 28.97, 28.81, 28.58, 28.8, 28.81]. 
Option B: The historical stock value data of IBHD for the past 79 days is: [21.44, 21.45, 21.38, 21.46, 21.47, 21.46, 21.41, 21.4, 21.5, 21.49, 21.53, 21.52, 21.54, 21.52, 21.58, 21.49, 21.48, 21.5, 21.48, 21.52, 21.53, 21.6, 21.54, 21.54, 21.57, 21.64, 21.66, 21.63, 21.65, 21.65, 21.61, 21.68, 21.68, 21.68, 21.67, 21.69, 21.77, 21.74, 21.72, 21.73, 21.7, 21.72, 21.7, 21.68, 21.72, 21.72, 21.77, 21.74, 21.77, 21.68, 21.72, 21.73, 21.75, 21.75, 21.81, 21.84, 21.75, 21.72, 21.82, 21.73, 21.71, 21.7, 21.75, 21.76, 21.74, 21.75, 21.74, 21.76, 21.78, 21.82, 21.85, 21.8, 21.89, 21.83, 21.83, 21.86, 21.82, 21.86, 21.93]. The historical stock value data of PWP for the past 79 days is: [10.1, 9.95, 9.56, 9.72, 9.62, 9.98, 9.8, 10.18, 10.63, 10.88, 10.69, 10.55, 10.6, 10.78, 10.59, 10.44, 10.18, 10.07, 10.22, 10.52, 10.7, 10.66, 10.46, 10.52, 10.48, 10.35, 10.38, 10.32, 10.44, 10.11, 10.11, 10.16, 10.4, 10.32, 10.45, 10.19, 10.63, 10.69, 10.65, 10.52, 10.17, 10.21, 10.1, 10.23, 9.95, 9.98, 9.96, 9.98, 9.97, 9.72, 9.56, 9.7, 9.65, 9.65, 9.64, 9.75, 9.57, 9.62, 9.52, 9.72, 9.42, 9.22, 9.32, 9.22, 9.38, 9.28, 9.33, 9.36, 9.5, 9.62, 9.87, 9.87, 10.18, 9.91, 10.59, 10.55, 10.46, 10.13, 10.05]. 
Option C: The historical stock value data of BBIN for the past 79 days is: [54.21, 54.31, 54.24, 54.57, 54.57, 53.93, 52.89, 52.81, 52.9, 53.4, 53.04, 53.05, 53.23, 52.88, 52.66, 52.0, 51.63, 51.23, 51.19, 51.43, 51.31, 51.8, 51.1, 51.42, 52.0, 52.62, 52.62, 52.47, 52.47, 52.03, 51.92, 51.78, 51.63, 52.12, 52.02, 51.83, 52.53, 52.4, 52.27, 52.3, 52.17, 51.34, 51.35, 51.13, 50.47, 50.33, 50.76, 50.6, 49.86, 49.21, 49.22, 49.72, 50.21, 50.14, 50.9, 51.08, 50.64, 50.24, 50.62, 50.63, 49.77, 49.31, 48.89, 48.94, 49.2, 48.86, 48.45, 48.37, 48.99, 49.16, 49.58, 50.56, 51.1, 50.96, 50.61, 50.46, 50.49, 50.73, 50.91]. The historical stock value data of DNMR for the past 79 days is: [2.81, 2.88, 2.75, 2.74, 2.81, 2.54, 2.46, 2.61, 2.63, 2.49, 2.5, 2.33, 2.16, 2.14, 2.21, 2.0, 1.98, 1.93, 2.06, 2.08, 2.05, 2.12, 2.03, 2.03, 2.09, 2.07, 1.97, 1.95, 1.9, 1.9, 1.9, 1.89, 1.9, 2.01, 2.02, 1.94, 2.05, 1.96, 1.86, 1.86, 1.84, 1.8, 1.82, 1.84, 1.8, 1.79, 1.76, 2.07, 1.9, 1.87, 1.82, 1.66, 1.7, 1.67, 1.78, 1.72, 1.66, 1.66, 1.63, 1.74, 1.66, 1.61, 1.65, 1.59, 1.5, 1.36, 1.41, 1.38, 1.37, 1.43, 1.34, 1.47, 1.64, 1.64, 1.66, 1.63, 1.62, 1.56, 1.47]. ",external_data_mc/answer_info/answer_info_38.pkl,external_data_mc/executor_variables/executor_variables_38.pkl
39,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 13 trading days. The options are: [Option A: The portfolio contains the following stocks: DMXF, FSBD, DHX, SOFI weighted by : [0.367, 0.451, 0.063, 0.12].     Option B: The portfolio contains the following stocks: APG, DMRC, BSMV, TBLD weighted by : [0.371, 0.124, 0.345, 0.159].     Option C: The portfolio contains the following stocks: DRTS, EML, ATRA, RNEM weighted by : [0.288, 0.271, 0.259, 0.182]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: DMXF, FSBD, DHX, SOFI weighted by : [0.367, 0.451, 0.063, 0.12]. ', 'Option B: The portfolio contains the following stocks: APG, DMRC, BSMV, TBLD weighted by : [0.371, 0.124, 0.345, 0.159]. ', 'Option C: The portfolio contains the following stocks: DRTS, EML, ATRA, RNEM weighted by : [0.288, 0.271, 0.259, 0.182]. ']",A,"Option A: The historical stock value data of DMXF for the past 32 days is: [62.13, 61.58, 61.7, 61.69, 62.49, 61.92, 62.49, 62.54, 62.83, 61.87, 61.27, 62.02, 62.13, 62.58, 62.35, 62.99, 63.17, 63.31, 63.62, 63.49, 63.05, 63.91, 63.44, 63.18, 63.31, 63.54, 63.38, 63.92, 63.81, 62.89, 63.79, 64.48]. The historical stock value data of FSBD for the past 32 days is: [45.77, 45.7, 45.57, 45.39, 45.56, 45.57, 45.58, 45.76, 45.75, 45.43, 45.36, 45.39, 45.26, 45.45, 45.32, 45.28, 45.35, 45.38, 45.54, 45.66, 45.89, 46.06, 45.89, 45.5, 45.51, 45.53, 45.42, 45.42, 45.42, 44.97, 45.16, 45.25]. The historical stock value data of DHX for the past 32 days is: [2.59, 2.56, 2.48, 2.42, 2.45, 2.24, 2.22, 2.24, 2.3, 2.28, 2.32, 2.3, 2.3, 2.36, 2.45, 2.47, 2.62, 2.54, 2.54, 2.52, 2.29, 2.14, 2.1, 2.06, 2.11, 2.12, 2.41, 2.67, 2.66, 2.42, 2.71, 2.72]. The historical stock value data of SOFI for the past 32 days is: [9.65, 8.31, 8.42, 8.22, 8.53, 8.32, 8.48, 8.17, 7.89, 7.72, 7.53, 7.41, 7.49, 7.92, 7.75, 7.56, 7.65, 7.62, 9.16, 8.4, 7.83, 7.73, 7.88, 7.58, 7.8, 7.66, 8.08, 8.13, 8.33, 8.02, 8.42, 8.53]. 
Option B: The historical stock value data of APG for the past 32 days is: [32.88, 30.69, 30.6, 30.99, 31.74, 30.9, 31.19, 31.46, 31.51, 31.5, 31.45, 31.79, 31.88, 32.32, 32.05, 31.6, 32.07, 32.3, 32.33, 32.49, 31.52, 33.11, 33.61, 33.31, 33.58, 34.15, 34.87, 35.19, 35.27, 34.15, 34.95, 35.55]. The historical stock value data of DMRC for the past 32 days is: [35.43, 34.68, 34.43, 33.73, 35.18, 35.82, 36.22, 36.05, 36.27, 35.61, 35.92, 36.08, 36.12, 38.79, 38.81, 36.78, 35.38, 37.23, 38.2, 36.98, 35.42, 36.32, 37.18, 37.07, 38.8, 37.84, 39.37, 41.18, 41.62, 37.83, 38.89, 39.49]. The historical stock value data of BSMV for the past 32 days is: [21.18, 21.21, 21.16, 21.16, 21.22, 21.21, 21.23, 21.23, 21.22, 21.15, 21.02, 21.0, 20.96, 21.0, 20.94, 20.86, 20.97, 20.95, 21.06, 21.01, 21.14, 21.23, 21.12, 21.02, 21.05, 21.05, 21.06, 21.08, 21.14, 20.94, 21.05, 21.0]. The historical stock value data of TBLD for the past 32 days is: [14.54, 14.52, 14.59, 14.71, 14.8, 14.75, 14.8, 14.79, 14.8, 14.57, 14.44, 14.45, 14.63, 14.82, 14.86, 14.98, 15.01, 14.99, 15.05, 15.0, 14.87, 14.98, 14.94, 14.81, 14.94, 15.14, 15.13, 15.14, 15.22, 15.01, 15.1, 15.12]. 
Option C: The historical stock value data of DRTS for the past 32 days is: [3.0, 2.92, 2.89, 3.16, 3.31, 3.24, 3.3, 3.17, 3.15, 3.12, 3.07, 3.03, 3.05, 3.05, 3.01, 3.07, 3.15, 3.16, 3.14, 3.35, 3.32, 3.28, 3.29, 3.16, 3.22, 3.21, 3.29, 3.28, 3.15, 3.17, 3.18, 3.21]. The historical stock value data of EML for the past 32 days is: [21.49, 22.2, 22.75, 21.93, 22.34, 22.32, 22.27, 23.11, 24.2, 24.54, 24.05, 24.05, 24.36, 24.52, 24.1, 24.54, 24.92, 24.69, 24.61, 24.21, 24.29, 23.85, 23.75, 23.88, 24.03, 24.0, 24.0, 24.09, 23.71, 23.41, 24.01, 24.67]. The historical stock value data of ATRA for the past 32 days is: [12.0, 11.0, 11.27, 11.07, 13.88, 14.55, 14.3, 15.07, 17.98, 17.83, 17.88, 18.25, 15.88, 15.02, 15.02, 14.5, 15.07, 15.05, 15.35, 15.5, 15.6, 20.75, 30.5, 27.75, 28.0, 24.77, 20.65, 20.5, 20.92, 19.25, 19.25, 19.3]. The historical stock value data of RNEM for the past 32 days is: [50.79, 50.54, 50.62, 50.9, 50.81, 50.25, 50.38, 50.25, 50.96, 49.91, 49.08, 49.27, 49.6, 49.1, 49.05, 49.79, 49.58, 50.05, 50.17, 50.04, 50.13, 50.29, 49.97, 49.87, 50.86, 50.82, 49.98, 50.45, 50.42, 49.87, 50.19, 50.46]. ",external_data_mc/answer_info/answer_info_39.pkl,external_data_mc/executor_variables/executor_variables_39.pkl
40,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 10 trading hours. The options are: [Option A: The portfolio contains the following stocks: METC weighted by : [1.0].     Option B: The portfolio contains the following stocks: AMG weighted by : [1.0].     Option C: The portfolio contains the following stocks: PRTA weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: METC weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: AMG weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: PRTA weighted by : [1.0]. ']",A,"Option A: The historical stock value data of METC for the past 13 hours is: [10.28, 9.79, 9.66, 9.4, 9.48, 9.39, 9.49, 9.4, 9.55, 9.55, 9.53, 9.55, 9.49]. 
Option B: The historical stock value data of AMG for the past 13 hours is: [168.41, 166.34, 164.82, 164.59, 165.14, 163.99, 164.34, 163.93, 165.07, 165.52, 166.54, 166.95, 166.79]. 
Option C: The historical stock value data of PRTA for the past 13 hours is: [20.74, 20.58, 20.4, 20.2, 20.41, 20.35, 20.51, 20.34, 20.69, 20.53, 20.82, 20.78, 20.4]. ",external_data_mc/answer_info/answer_info_40.pkl,external_data_mc/executor_variables/executor_variables_40.pkl
41,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 14 trading hours. The options are: [Option A: The portfolio contains the following stocks: HCP, MXL weighted by : [0.574, 0.426].     Option B: The portfolio contains the following stocks: CONL, SUN weighted by : [0.604, 0.396].     Option C: The portfolio contains the following stocks: CSIQ, HLAL weighted by : [0.888, 0.112]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: HCP, MXL weighted by : [0.574, 0.426]. ', 'Option B: The portfolio contains the following stocks: CONL, SUN weighted by : [0.604, 0.396]. ', 'Option C: The portfolio contains the following stocks: CSIQ, HLAL weighted by : [0.888, 0.112]. ']",A,"Option A: The historical stock value data of HCP for the past 12 hours is: [33.78, 33.79, 33.83, 33.81, 33.78, 33.74, 33.72, 33.67, 33.68, 33.69, 33.67, 33.7]. The historical stock value data of MXL for the past 12 hours is: [14.02, 14.27, 14.26, 14.3, 14.19, 14.09, 13.69, 13.29, 13.22, 13.32, 13.16, 13.24]. 
Option B: The historical stock value data of CONL for the past 12 hours is: [20.89, 21.22, 20.95, 21.07, 20.77, 20.69, 19.72, 18.96, 18.27, 18.15, 17.41, 17.55]. The historical stock value data of SUN for the past 12 hours is: [52.99, 53.12, 53.18, 52.89, 52.66, 52.46, 52.74, 52.32, 52.12, 51.81, 51.92, 52.08]. 
Option C: The historical stock value data of CSIQ for the past 12 hours is: [12.39, 12.51, 12.51, 12.67, 12.6, 12.51, 11.99, 12.0, 11.83, 11.92, 11.89, 11.93]. The historical stock value data of HLAL for the past 12 hours is: [49.87, 49.85, 49.88, 50.07, 49.9, 49.91, 49.6, 49.26, 49.12, 49.28, 49.07, 49.19]. ",external_data_mc/answer_info/answer_info_41.pkl,external_data_mc/executor_variables/executor_variables_41.pkl
42,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 16 trading days. The options are: [Option A: The portfolio contains the following stocks: CMMB, EVRG weighted by : [0.495, 0.505].     Option B: The portfolio contains the following stocks: TECS, EVF weighted by : [0.638, 0.362].     Option C: The portfolio contains the following stocks: ACMR, MMSI weighted by : [0.55, 0.45]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: CMMB, EVRG weighted by : [0.495, 0.505]. ', 'Option B: The portfolio contains the following stocks: TECS, EVF weighted by : [0.638, 0.362]. ', 'Option C: The portfolio contains the following stocks: ACMR, MMSI weighted by : [0.55, 0.45]. ']",B,"Option A: The historical stock value data of CMMB for the past 36 days is: [1.08, 1.04, 1.07, 1.08, 1.04, 1.11, 1.11, 1.14, 1.14, 1.08, 1.05, 1.02, 1.06, 1.05, 1.05, 1.07, 1.09, 1.04, 1.02, 1.03, 1.05, 0.92, 0.91, 0.93, 0.91, 0.9, 0.89, 0.89, 0.9, 0.87, 0.83, 0.88, 0.86, 0.89, 0.87, 0.89]. The historical stock value data of EVRG for the past 36 days is: [53.9, 53.59, 54.22, 54.06, 54.4, 52.84, 52.39, 51.09, 50.26, 50.81, 51.1, 51.41, 50.24, 50.52, 51.2, 51.89, 51.6, 51.6, 51.67, 51.8, 51.33, 51.1, 50.79, 49.03, 48.66, 48.06, 48.32, 45.85, 46.7, 46.41, 46.07, 46.5, 47.04, 47.37, 47.94, 46.93]. 
Option B: The historical stock value data of TECS for the past 36 days is: [13.86, 14.81, 14.37, 14.03, 13.24, 12.9, 12.76, 12.61, 12.5, 12.89, 13.49, 13.42, 13.21, 13.94, 13.85, 13.57, 14.36, 14.16, 14.18, 14.87, 15.55, 15.47, 15.31, 16.14, 16.09, 15.76, 15.63, 15.12, 15.92, 15.35, 15.28, 14.44, 14.21, 14.16, 13.78, 13.74]. The historical stock value data of EVF for the past 36 days is: [5.08, 5.06, 5.12, 5.11, 5.1, 5.06, 5.08, 5.1, 5.12, 5.12, 5.09, 5.14, 5.17, 5.2, 5.18, 5.23, 5.17, 5.17, 5.18, 5.16, 5.18, 5.31, 5.32, 5.25, 5.29, 5.31, 5.27, 5.23, 5.17, 5.25, 5.31, 5.39, 5.26, 5.26, 5.26, 5.26]. 
Option C: The historical stock value data of ACMR for the past 36 days is: [16.36, 15.36, 15.52, 15.3, 16.2, 17.23, 17.56, 18.43, 19.63, 19.34, 18.72, 18.73, 18.54, 17.78, 17.59, 16.74, 15.52, 15.72, 15.96, 15.77, 15.52, 15.66, 16.63, 16.74, 17.62, 18.27, 18.1, 18.62, 17.15, 18.0, 17.3, 18.61, 18.22, 19.68, 20.07, 19.8]. The historical stock value data of MMSI for the past 36 days is: [69.11, 67.07, 67.19, 65.91, 66.64, 66.17, 65.28, 65.3, 63.9, 64.77, 63.36, 63.62, 65.97, 66.13, 67.76, 68.32, 68.16, 68.62, 69.18, 68.5, 67.99, 68.12, 68.38, 67.33, 67.97, 69.42, 69.02, 67.23, 67.27, 66.85, 66.71, 67.75, 68.14, 68.61, 65.71, 62.92]. ",external_data_mc/answer_info/answer_info_42.pkl,external_data_mc/executor_variables/executor_variables_42.pkl
43,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 15 trading days. The options are: [Option A: The portfolio contains the following stocks: HOG, MDXG, MNYWW weighted by : [0.404, 0.329, 0.267].     Option B: The portfolio contains the following stocks: MNTS, XAIR, CHIQ weighted by : [0.367, 0.51, 0.123].     Option C: The portfolio contains the following stocks: GCTK, FNGG, ARAY weighted by : [0.277, 0.684, 0.039]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: HOG, MDXG, MNYWW weighted by : [0.404, 0.329, 0.267]. ', 'Option B: The portfolio contains the following stocks: MNTS, XAIR, CHIQ weighted by : [0.367, 0.51, 0.123]. ', 'Option C: The portfolio contains the following stocks: GCTK, FNGG, ARAY weighted by : [0.277, 0.684, 0.039]. ']",C,"Option A: The historical stock value data of HOG for the past 42 days is: [31.07, 30.92, 29.45, 29.67, 29.81, 30.23, 30.27, 29.33, 29.25, 29.72, 30.16, 29.42, 29.22, 29.52, 29.22, 28.67, 28.27, 26.44, 25.67, 25.38, 26.33, 26.77, 27.31, 28.36, 27.24, 26.97, 27.09, 26.26, 26.13, 26.52, 28.22, 29.42, 29.08, 29.42, 29.61, 29.3, 29.6, 29.91, 29.65, 29.42, 29.42, 29.41]. The historical stock value data of MDXG for the past 42 days is: [7.5, 7.31, 7.56, 7.45, 7.33, 6.98, 6.81, 6.3, 6.34, 6.46, 6.66, 6.3, 6.09, 6.08, 5.99, 6.23, 6.06, 6.13, 6.15, 6.32, 6.56, 6.45, 6.49, 6.82, 6.69, 6.49, 6.1, 5.7, 5.94, 6.16, 6.69, 6.6, 6.7, 7.06, 7.17, 7.21, 7.57, 7.66, 7.92, 7.89, 7.78, 7.77]. The historical stock value data of MNYWW for the past 42 days is: [0.31, 0.3, 0.23, 0.19, 0.19, 0.28, 0.22, 0.19, 0.17, 0.1, 0.1, 0.1, 0.1, 0.09, 0.09, 0.14, 0.09, 0.09, 0.08, 0.08, 0.08, 0.07, 0.07, 0.07, 0.07, 0.07, 0.06, 0.07, 0.06, 0.06, 0.05, 0.04, 0.03, 0.02, 0.06, 0.07, 0.09, 0.09, 0.13, 0.16, 0.12, 0.11]. 
Option B: The historical stock value data of MNTS for the past 42 days is: [1.35, 1.1, 1.17, 1.17, 1.6, 1.79, 1.79, 2.77, 3.11, 4.85, 4.97, 4.19, 3.72, 3.7, 3.74, 3.65, 2.7, 3.08, 3.26, 3.46, 3.55, 3.67, 4.21, 3.82, 4.06, 3.38, 3.55, 3.34, 3.13, 3.26, 3.59, 3.28, 3.13, 3.08, 2.77, 2.91, 3.04, 2.88, 2.86, 2.72, 2.61, 2.67]. The historical stock value data of XAIR for the past 42 days is: [2.11, 2.15, 2.36, 2.42, 2.37, 2.41, 2.2, 2.23, 2.24, 2.24, 2.43, 2.28, 2.21, 2.3, 2.29, 2.26, 2.21, 2.21, 2.2, 2.25, 2.33, 2.33, 2.46, 2.29, 2.09, 2.1, 2.0, 1.94, 2.05, 2.03, 1.4, 1.73, 1.58, 1.5, 1.59, 1.57, 1.69, 1.6, 1.58, 1.53, 1.58, 1.58]. The historical stock value data of CHIQ for the past 42 days is: [17.4, 17.31, 17.29, 17.71, 17.68, 18.18, 18.25, 17.84, 17.68, 17.79, 17.58, 17.46, 17.14, 16.89, 17.0, 17.65, 17.39, 17.34, 17.44, 17.53, 17.16, 17.0, 17.14, 17.74, 17.8, 17.81, 17.65, 17.33, 17.35, 17.48, 17.85, 18.19, 17.55, 17.62, 18.14, 17.73, 17.69, 17.88, 17.58, 17.87, 17.55, 17.57]. 
Option C: The historical stock value data of GCTK for the past 42 days is: [1.18, 1.2, 1.2, 1.24, 1.2, 1.25, 1.55, 1.23, 1.15, 1.18, 1.11, 1.17, 1.12, 1.05, 1.0, 1.02, 0.98, 0.98, 1.02, 0.93, 0.9, 0.88, 0.9, 0.88, 0.83, 0.85, 0.85, 0.85, 0.81, 0.81, 0.8, 0.83, 0.8, 0.77, 0.9, 0.86, 0.94, 0.95, 1.02, 1.12, 1.1, 1.17]. The historical stock value data of FNGG for the past 42 days is: [65.8, 68.34, 68.05, 71.6, 72.16, 72.28, 73.78, 73.44, 70.4, 72.82, 71.13, 68.04, 68.35, 65.58, 67.28, 68.9, 64.14, 60.77, 62.12, 64.0, 64.14, 67.01, 68.79, 70.95, 71.52, 74.03, 74.9, 73.63, 77.37, 77.28, 80.7, 80.93, 80.83, 80.96, 83.45, 82.85, 83.16, 82.67, 82.28, 83.1, 82.6, 81.78]. The historical stock value data of ARAY for the past 42 days is: [2.6, 2.89, 3.08, 2.99, 2.88, 2.92, 2.87, 2.82, 2.84, 2.88, 3.0, 2.82, 2.79, 2.75, 2.69, 2.81, 2.64, 2.62, 2.58, 2.63, 2.64, 2.57, 2.62, 2.8, 2.68, 2.73, 2.66, 2.44, 2.47, 2.55, 2.68, 2.54, 2.52, 2.57, 2.71, 2.7, 2.75, 2.78, 2.7, 2.65, 2.66, 2.61]. ",external_data_mc/answer_info/answer_info_43.pkl,external_data_mc/executor_variables/executor_variables_43.pkl
44,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 17 trading days. The options are: [Option A: The portfolio contains the following stocks: ACIO, RLJ weighted by : [0.378, 0.622].     Option B: The portfolio contains the following stocks: ACA, CBSH weighted by : [0.458, 0.542].     Option C: The portfolio contains the following stocks: HTBK, SPHY weighted by : [0.54, 0.46]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ACIO, RLJ weighted by : [0.378, 0.622]. ', 'Option B: The portfolio contains the following stocks: ACA, CBSH weighted by : [0.458, 0.542]. ', 'Option C: The portfolio contains the following stocks: HTBK, SPHY weighted by : [0.54, 0.46]. ']",C,"Option A: The historical stock value data of ACIO for the past 89 days is: [30.06, 30.07, 30.33, 30.5, 30.66, 30.76, 30.59, 30.54, 30.75, 30.76, 30.5, 30.37, 30.12, 30.07, 30.13, 29.88, 29.65, 29.63, 29.88, 30.0, 30.25, 30.73, 30.92, 30.92, 31.0, 31.06, 30.89, 31.32, 31.29, 31.75, 31.81, 31.87, 31.81, 32.08, 31.96, 32.1, 32.09, 32.08, 32.11, 32.08, 32.17, 32.25, 32.09, 32.1, 32.02, 32.17, 32.26, 32.34, 32.48, 32.77, 32.79, 32.79, 32.98, 33.12, 32.71, 32.94, 32.99, 33.05, 33.12, 33.14, 33.07, 32.95, 32.79, 32.7, 32.68, 33.03, 33.03, 33.19, 33.18, 33.24, 33.11, 33.01, 33.22, 33.51, 33.59, 33.66, 33.72, 33.86, 33.84, 34.04, 34.06, 33.63, 33.99, 34.29, 34.18, 34.16, 34.4, 34.49, 34.65]. The historical stock value data of RLJ for the past 89 days is: [9.45, 9.48, 9.49, 9.46, 9.54, 9.49, 9.47, 9.32, 9.5, 9.62, 9.48, 9.36, 9.24, 9.34, 9.4, 9.3, 9.34, 8.88, 9.08, 9.14, 9.1, 9.64, 10.07, 9.93, 9.84, 9.58, 9.55, 9.63, 9.71, 10.08, 10.09, 9.95, 10.12, 10.2, 10.06, 10.12, 10.18, 10.22, 10.34, 10.34, 10.4, 10.64, 10.72, 10.39, 10.26, 10.4, 10.5, 10.72, 10.73, 11.0, 11.39, 11.25, 11.24, 11.36, 11.37, 11.52, 11.61, 11.69, 11.66, 11.64, 11.5, 11.52, 11.4, 11.39, 11.4, 11.57, 11.33, 11.42, 11.33, 11.33, 11.28, 11.18, 11.15, 11.5, 11.65, 11.5, 11.3, 11.58, 11.59, 11.69, 11.65, 11.36, 11.58, 11.44, 11.33, 11.39, 11.29, 11.42, 11.46]. 
Option B: The historical stock value data of ACA for the past 89 days is: [70.7, 70.69, 71.22, 70.62, 70.95, 71.67, 69.01, 68.08, 69.44, 71.23, 69.09, 68.48, 68.49, 68.49, 68.11, 67.54, 67.74, 66.85, 68.45, 68.94, 69.43, 65.02, 67.54, 67.83, 67.01, 67.84, 67.82, 69.17, 70.15, 73.91, 72.5, 72.44, 73.99, 73.37, 73.41, 74.16, 73.97, 73.74, 72.85, 73.5, 74.07, 75.22, 76.26, 75.84, 76.09, 77.41, 77.63, 78.39, 78.23, 79.14, 79.92, 79.94, 80.01, 80.92, 80.84, 82.25, 83.27, 83.47, 83.86, 83.43, 82.49, 81.88, 78.91, 78.32, 78.23, 79.18, 78.09, 78.68, 78.71, 78.84, 78.67, 77.15, 78.39, 79.4, 79.67, 77.62, 76.59, 78.22, 78.43, 80.24, 80.09, 78.19, 80.54, 80.64, 80.21, 80.44, 81.47, 82.47, 83.42]. The historical stock value data of CBSH for the past 89 days is: [45.71, 46.68, 47.01, 47.07, 47.39, 47.35, 46.77, 46.39, 47.36, 48.37, 47.97, 45.54, 44.44, 43.38, 43.55, 43.24, 44.1, 42.8, 43.08, 43.02, 42.59, 44.98, 45.93, 45.28, 45.25, 45.23, 44.84, 44.43, 44.5, 47.87, 48.68, 48.9, 49.68, 48.78, 48.66, 48.86, 49.48, 49.27, 49.04, 49.72, 49.6, 48.83, 50.86, 50.4, 51.07, 51.49, 51.35, 51.02, 50.7, 53.49, 54.12, 53.2, 53.32, 53.7, 52.92, 52.9, 53.23, 53.47, 53.39, 53.37, 52.65, 53.46, 52.07, 52.63, 52.9, 53.25, 52.63, 53.0, 52.22, 52.1, 51.63, 51.16, 52.25, 53.76, 54.29, 53.48, 53.4, 52.7, 52.69, 53.89, 53.4, 51.38, 51.08, 50.8, 49.96, 49.59, 50.01, 49.76, 50.44]. 
Option C: The historical stock value data of HTBK for the past 89 days is: [7.91, 8.04, 8.07, 8.13, 8.14, 8.15, 8.14, 7.89, 7.99, 8.14, 7.96, 7.91, 7.65, 7.62, 7.55, 7.51, 7.85, 7.77, 7.83, 7.7, 7.72, 7.98, 8.27, 8.26, 8.27, 8.18, 7.89, 7.94, 7.98, 8.54, 8.56, 8.35, 8.41, 8.38, 8.11, 8.21, 8.17, 8.15, 8.09, 8.16, 8.11, 8.67, 8.71, 8.57, 8.47, 8.65, 8.82, 8.74, 8.61, 9.1, 9.31, 9.24, 9.2, 9.42, 9.4, 9.38, 9.51, 9.64, 9.62, 9.59, 9.48, 9.41, 9.19, 9.31, 9.31, 9.32, 9.19, 9.23, 9.11, 9.01, 8.84, 8.83, 8.9, 8.96, 9.21, 9.16, 9.24, 9.19, 8.78, 8.79, 8.82, 8.5, 8.25, 8.15, 8.04, 7.94, 7.9, 8.01, 8.07]. The historical stock value data of SPHY for the past 89 days is: [20.48, 20.48, 20.51, 20.65, 20.66, 20.65, 20.55, 20.55, 20.55, 20.46, 20.37, 20.3, 20.34, 20.4, 20.5, 20.39, 20.46, 20.44, 20.44, 20.51, 20.68, 20.9, 21.12, 21.03, 21.05, 21.04, 20.91, 21.01, 20.98, 21.2, 21.14, 21.15, 21.18, 21.22, 21.23, 21.29, 21.27, 21.31, 21.39, 21.51, 21.44, 21.61, 21.59, 21.61, 21.61, 21.64, 21.59, 21.6, 21.65, 21.97, 22.06, 22.03, 22.03, 22.12, 22.14, 22.22, 22.2, 22.23, 22.31, 22.23, 22.17, 22.12, 22.04, 21.97, 21.97, 22.09, 22.14, 22.17, 22.22, 22.27, 22.12, 22.05, 22.1, 22.12, 22.15, 22.15, 22.13, 22.29, 22.25, 22.31, 22.29, 22.25, 22.36, 22.24, 22.16, 22.26, 22.28, 22.27, 22.31]. ",external_data_mc/answer_info/answer_info_44.pkl,external_data_mc/executor_variables/executor_variables_44.pkl
45,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 13 trading days. The options are: [Option A: The portfolio contains the following stocks: LOWV, KDP, EBMT weighted by : [0.495, 0.344, 0.16].     Option B: The portfolio contains the following stocks: DEHP, VSMV, OLPX weighted by : [0.652, 0.111, 0.237].     Option C: The portfolio contains the following stocks: CHRS, TGTX, TTT weighted by : [0.222, 0.364, 0.414]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: LOWV, KDP, EBMT weighted by : [0.495, 0.344, 0.16]. ', 'Option B: The portfolio contains the following stocks: DEHP, VSMV, OLPX weighted by : [0.652, 0.111, 0.237]. ', 'Option C: The portfolio contains the following stocks: CHRS, TGTX, TTT weighted by : [0.222, 0.364, 0.414]. ']",A,"Option A: The historical stock value data of LOWV for the past 84 days is: [53.88, 54.51, 54.39, 54.34, 54.07, 53.74, 53.91, 54.24, 54.46, 54.86, 55.05, 55.26, 55.54, 55.57, 55.38, 55.53, 55.59, 55.78, 55.63, 55.17, 55.57, 55.54, 55.59, 54.9, 54.81, 54.41, 54.98, 54.71, 54.56, 54.69, 54.68, 54.98, 54.57, 54.27, 53.85, 53.83, 54.19, 54.08, 54.6, 54.02, 54.35, 54.59, 55.22, 55.39, 55.28, 55.32, 55.13, 54.94, 54.97, 55.14, 55.33, 54.78, 54.92, 55.37, 54.75, 54.88, 54.89, 54.67, 53.94, 53.9, 53.96, 53.26, 53.2, 53.53, 53.21, 53.24, 52.63, 53.22, 53.22, 53.95, 54.3, 54.49, 54.85, 54.7, 54.54, 55.1, 55.12, 54.66, 54.19, 53.59, 53.49, 53.85, 53.21, 52.68]. The historical stock value data of KDP for the past 84 days is: [29.95, 30.44, 30.64, 30.91, 31.35, 30.92, 30.63, 30.56, 30.44, 30.68, 30.82, 30.77, 30.73, 31.05, 31.57, 31.72, 31.51, 31.47, 31.68, 32.87, 33.02, 33.11, 33.23, 33.55, 33.03, 32.71, 32.93, 32.55, 32.73, 32.52, 32.91, 32.85, 32.59, 32.96, 32.78, 32.86, 32.74, 32.57, 32.76, 32.55, 32.4, 32.81, 33.0, 32.88, 32.76, 32.66, 32.18, 32.32, 32.43, 32.48, 32.64, 32.38, 32.25, 32.78, 32.42, 32.76, 32.53, 32.88, 32.45, 32.25, 31.62, 31.31, 30.83, 30.84, 30.95, 30.59, 30.48, 31.07, 29.61, 29.48, 29.15, 29.69, 28.71, 27.35, 27.55, 27.95, 28.21, 28.22, 27.89, 28.08, 27.77, 28.53, 28.52, 28.93]. The historical stock value data of EBMT for the past 84 days is: [12.37, 12.52, 12.58, 12.31, 12.23, 12.2, 12.21, 12.23, 12.5, 12.5, 12.49, 12.5, 13.11, 13.72, 13.38, 13.16, 13.28, 13.03, 12.83, 12.54, 12.63, 12.48, 12.51, 12.76, 12.58, 12.62, 12.5, 12.32, 12.21, 12.28, 12.39, 12.25, 12.24, 12.02, 12.33, 12.49, 12.38, 12.31, 12.29, 12.25, 12.25, 12.14, 12.19, 12.17, 12.1, 12.08, 11.97, 11.77, 11.8, 11.81, 11.72, 11.68, 11.67, 11.68, 11.67, 11.61, 11.58, 11.4, 11.64, 11.52, 11.43, 11.43, 11.3, 11.35, 11.39, 11.33, 11.32, 11.27, 11.21, 11.18, 11.25, 11.14, 11.12, 11.16, 11.14, 11.2, 11.32, 11.2, 11.2, 11.11, 11.1, 11.1, 11.14, 11.29]. 
Option B: The historical stock value data of DEHP for the past 84 days is: [22.89, 23.08, 23.29, 23.21, 22.72, 22.88, 22.88, 23.14, 23.58, 23.87, 23.8, 23.81, 23.73, 23.64, 23.45, 23.39, 23.58, 23.82, 23.86, 23.6, 24.14, 24.13, 23.8, 23.29, 23.34, 23.29, 23.32, 23.03, 23.11, 23.08, 22.82, 22.68, 22.48, 22.28, 22.37, 22.22, 22.32, 22.27, 22.61, 22.55, 22.57, 22.77, 23.05, 23.02, 22.81, 23.03, 23.0, 22.86, 22.64, 22.65, 22.93, 22.85, 22.85, 23.05, 22.96, 22.95, 22.89, 22.79, 22.39, 22.68, 22.58, 22.26, 22.29, 22.3, 22.34, 22.24, 21.97, 21.92, 22.03, 22.3, 22.26, 22.55, 22.65, 22.41, 22.39, 22.56, 22.52, 22.23, 22.12, 21.88, 21.82, 22.06, 21.8, 21.56]. The historical stock value data of VSMV for the past 84 days is: [39.49, 39.87, 39.95, 39.82, 39.63, 39.47, 39.52, 39.73, 39.84, 39.95, 39.87, 40.05, 40.34, 40.33, 40.6, 40.71, 40.76, 40.82, 40.57, 40.39, 40.53, 40.47, 40.42, 40.1, 40.01, 39.69, 39.99, 39.87, 39.89, 39.88, 40.06, 40.04, 39.78, 39.53, 39.22, 39.31, 39.26, 39.18, 39.4, 39.08, 39.26, 39.43, 39.76, 39.93, 39.77, 39.88, 39.61, 39.27, 39.17, 39.41, 39.57, 39.51, 39.44, 39.84, 39.43, 39.6, 39.56, 39.43, 39.12, 38.96, 39.06, 38.66, 38.61, 38.93, 38.67, 38.56, 38.21, 38.37, 38.44, 38.67, 39.18, 39.19, 39.33, 39.11, 39.24, 39.5, 39.58, 39.33, 39.06, 38.73, 38.48, 38.65, 38.81, 38.18]. The historical stock value data of OLPX for the past 84 days is: [3.74, 3.72, 3.92, 3.73, 3.75, 3.87, 4.02, 4.13, 4.23, 4.12, 3.97, 3.99, 4.08, 4.06, 3.79, 3.83, 3.94, 3.9, 3.98, 3.68, 3.71, 3.6, 3.46, 3.44, 3.43, 3.49, 3.57, 3.23, 2.8, 2.62, 2.6, 2.63, 2.79, 2.75, 2.71, 2.7, 2.73, 2.74, 2.64, 2.61, 2.64, 2.7, 2.75, 2.75, 2.71, 2.68, 2.59, 2.55, 2.45, 2.43, 2.4, 2.41, 2.4, 2.41, 2.26, 2.09, 2.11, 2.07, 2.09, 2.07, 2.02, 2.01, 1.95, 1.88, 1.95, 1.9, 1.87, 1.97, 1.85, 1.86, 1.83, 1.85, 1.76, 1.77, 1.6, 1.67, 1.65, 1.57, 1.57, 1.59, 1.54, 1.63, 1.6, 1.54]. 
Option C: The historical stock value data of CHRS for the past 84 days is: [4.19, 4.27, 4.42, 4.57, 4.64, 4.85, 5.2, 4.69, 4.47, 4.27, 4.06, 4.37, 4.39, 4.38, 4.17, 4.29, 4.4, 4.42, 4.53, 4.6, 4.79, 4.82, 4.49, 4.34, 5.11, 5.07, 5.02, 4.79, 4.59, 4.75, 4.68, 4.53, 4.47, 4.53, 4.35, 4.47, 4.6, 4.64, 4.64, 4.57, 4.7, 5.05, 5.27, 5.24, 5.33, 5.45, 4.89, 4.98, 4.89, 4.89, 5.05, 5.04, 4.68, 4.78, 4.92, 4.53, 4.61, 4.51, 4.14, 4.46, 4.05, 3.98, 3.97, 3.87, 3.74, 3.6, 3.35, 3.17, 3.47, 3.75, 3.63, 3.81, 3.82, 3.69, 3.81, 3.85, 3.73, 3.6, 3.55, 3.54, 3.18, 3.27, 2.9, 2.74]. The historical stock value data of TGTX for the past 84 days is: [24.11, 24.84, 22.75, 23.1, 23.04, 24.96, 26.5, 25.4, 25.46, 21.75, 22.1, 21.48, 21.37, 21.24, 20.95, 20.62, 20.28, 20.14, 20.23, 19.82, 19.7, 20.69, 10.49, 10.55, 11.2, 10.71, 10.1, 9.65, 9.68, 9.7, 10.13, 11.1, 11.53, 10.75, 10.39, 10.35, 10.37, 10.55, 10.53, 10.36, 10.48, 10.27, 10.46, 10.59, 10.47, 10.61, 10.68, 11.05, 11.29, 10.39, 10.62, 10.71, 10.13, 10.19, 10.14, 9.51, 9.59, 9.3, 9.25, 9.14, 8.98, 8.77, 8.82, 8.77, 8.36, 8.16, 7.96, 7.75, 7.9, 7.78, 7.16, 7.41, 7.29, 6.94, 6.69, 6.8, 6.84, 6.84, 6.68, 6.75, 6.69, 7.41, 7.02, 7.2]. The historical stock value data of TTT for the past 84 days is: [59.12, 57.12, 57.92, 59.84, 62.4, 63.54, 63.35, 62.57, 60.45, 58.59, 59.55, 59.55, 58.77, 56.72, 59.03, 58.82, 59.62, 60.04, 59.81, 63.37, 62.47, 61.97, 65.11, 67.24, 71.92, 68.01, 70.13, 67.89, 66.84, 69.96, 70.68, 70.93, 72.56, 74.24, 75.3, 74.57, 77.56, 75.92, 70.28, 71.49, 71.31, 70.99, 68.76, 68.88, 68.16, 71.32, 74.24, 73.82, 73.35, 72.42, 74.17, 73.04, 73.07, 74.6, 75.88, 74.76, 76.48, 75.89, 81.74, 79.76, 85.69, 86.82, 88.18, 87.41, 87.21, 91.65, 97.67, 93.63, 95.31, 98.52, 93.08, 92.43, 86.47, 93.8, 88.79, 93.15, 96.15, 99.07, 105.17, 103.62, 99.71, 96.08, 102.54, 97.93]. ",external_data_mc/answer_info/answer_info_45.pkl,external_data_mc/executor_variables/executor_variables_45.pkl
46,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 9 trading hours. The options are: [Option A: The portfolio contains the following stocks: DRIO, VBTX weighted by : [0.117, 0.883].     Option B: The portfolio contains the following stocks: LLYVA, ABAT weighted by : [0.3, 0.7].     Option C: The portfolio contains the following stocks: JPSE, QRVO weighted by : [0.758, 0.242]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: DRIO, VBTX weighted by : [0.117, 0.883]. ', 'Option B: The portfolio contains the following stocks: LLYVA, ABAT weighted by : [0.3, 0.7]. ', 'Option C: The portfolio contains the following stocks: JPSE, QRVO weighted by : [0.758, 0.242]. ']",B,"Option A: The historical stock value data of DRIO for the past 16 hours is: [0.81, 0.85, 0.83, 0.84, 0.86, 0.82, 0.8, 0.76, 0.8, 0.8, 0.78, 0.81, 0.78, 0.8, 0.79, 0.76]. The historical stock value data of VBTX for the past 16 hours is: [23.96, 23.95, 24.27, 24.05, 24.14, 23.96, 23.92, 23.84, 24.09, 24.19, 24.23, 24.14, 24.19, 23.75, 23.73, 23.62]. 
Option B: The historical stock value data of LLYVA for the past 16 hours is: [37.55, 37.4, 37.78, 37.67, 37.89, 37.87, 38.61, 38.62, 38.94, 38.81, 38.58, 38.5, 38.37, 38.18, 38.35, 38.01]. The historical stock value data of ABAT for the past 16 hours is: [1.06, 1.04, 1.04, 1.03, 1.04, 1.03, 1.02, 1.03, 1.03, 1.04, 1.03, 1.02, 1.01, 1.02, 1.03, 1.03]. 
Option C: The historical stock value data of JPSE for the past 16 hours is: [45.15, 45.17, 45.35, 45.15, 45.09, 45.18, 45.21, 45.08, 45.31, 45.32, 45.19, 45.17, 45.0, 44.9, 45.01, 44.61]. The historical stock value data of QRVO for the past 16 hours is: [105.34, 104.21, 104.62, 103.59, 104.75, 104.31, 106.01, 105.63, 106.06, 105.61, 105.17, 105.12, 105.26, 103.57, 103.73, 102.86]. ",external_data_mc/answer_info/answer_info_46.pkl,external_data_mc/executor_variables/executor_variables_46.pkl
47,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 8 trading hours. The options are: [Option A: The portfolio contains the following stocks: GEN, CRGX weighted by : [0.347, 0.653].     Option B: The portfolio contains the following stocks: WKC, FIGS weighted by : [0.666, 0.334].     Option C: The portfolio contains the following stocks: CAAP, ONB weighted by : [0.688, 0.312]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: GEN, CRGX weighted by : [0.347, 0.653]. ', 'Option B: The portfolio contains the following stocks: WKC, FIGS weighted by : [0.666, 0.334]. ', 'Option C: The portfolio contains the following stocks: CAAP, ONB weighted by : [0.688, 0.312]. ']",C,"Option A: The historical stock value data of GEN for the past 18 hours is: [25.9, 25.72, 25.59, 25.57, 25.56, 25.44, 25.39, 25.66, 25.69, 25.91, 25.94, 25.84, 25.81, 25.73, 25.77, 25.88, 25.62, 25.67]. The historical stock value data of CRGX for the past 18 hours is: [19.11, 18.97, 18.8, 18.98, 19.0, 18.89, 18.88, 20.58, 20.35, 20.45, 20.64, 21.02, 21.06, 21.37, 21.26, 21.62, 21.54, 22.08]. 
Option B: The historical stock value data of WKC for the past 18 hours is: [28.13, 27.7, 27.49, 27.75, 27.74, 27.74, 27.6, 27.57, 27.67, 27.8, 27.88, 27.75, 27.74, 27.52, 28.05, 28.35, 28.32, 28.21]. The historical stock value data of FIGS for the past 18 hours is: [5.95, 5.95, 5.8, 5.86, 5.8, 5.84, 5.77, 5.87, 5.67, 5.75, 5.68, 5.54, 5.45, 5.38, 5.3, 5.3, 5.32, 5.25]. 
Option C: The historical stock value data of CAAP for the past 18 hours is: [14.84, 14.69, 14.75, 14.79, 14.78, 14.83, 14.79, 14.85, 14.79, 14.85, 14.86, 14.79, 14.81, 14.81, 14.8, 14.8, 14.77, 14.76]. The historical stock value data of ONB for the past 18 hours is: [18.81, 18.56, 18.5, 18.56, 18.47, 18.53, 18.54, 18.66, 18.53, 18.64, 18.64, 18.65, 18.66, 18.62, 18.28, 18.39, 18.18, 18.28]. ",external_data_mc/answer_info/answer_info_47.pkl,external_data_mc/executor_variables/executor_variables_47.pkl
48,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 4 trading hours. The options are: [Option A: The portfolio contains the following stocks: INNV, IDAI, SCSC, GL weighted by : [0.047, 0.011, 0.594, 0.349].     Option B: The portfolio contains the following stocks: BDC, CLMT, HOPE, CMI weighted by : [0.706, 0.185, 0.02, 0.089].     Option C: The portfolio contains the following stocks: RSPN, SQ, IGD, GPOR weighted by : [0.208, 0.26, 0.124, 0.408]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: INNV, IDAI, SCSC, GL weighted by : [0.047, 0.011, 0.594, 0.349]. ', 'Option B: The portfolio contains the following stocks: BDC, CLMT, HOPE, CMI weighted by : [0.706, 0.185, 0.02, 0.089]. ', 'Option C: The portfolio contains the following stocks: RSPN, SQ, IGD, GPOR weighted by : [0.208, 0.26, 0.124, 0.408]. ']",C,"Option A: The historical stock value data of INNV for the past 10 hours is: [6.31, 6.33, 6.33, 6.33, 6.34, 6.33, 6.33, 6.24, 6.31, 6.34]. The historical stock value data of IDAI for the past 10 hours is: [0.24, 0.24, 0.24, 0.23, 0.22, 0.22, 0.23, 0.23, 0.23, 0.23]. The historical stock value data of SCSC for the past 10 hours is: [47.86, 47.01, 46.87, 46.56, 46.83, 46.64, 46.68, 46.56, 46.18, 46.03]. The historical stock value data of GL for the past 10 hours is: [104.58, 104.49, 103.81, 103.5, 103.16, 102.86, 102.55, 102.58, 103.04, 103.11]. 
Option B: The historical stock value data of BDC for the past 10 hours is: [102.18, 100.2, 99.4, 99.57, 100.18, 100.0, 100.45, 99.35, 100.8, 99.83]. The historical stock value data of CLMT for the past 10 hours is: [17.5, 16.67, 17.48, 17.22, 17.92, 17.93, 18.03, 17.71, 17.58, 17.04]. The historical stock value data of HOPE for the past 10 hours is: [12.44, 12.35, 12.26, 12.28, 12.27, 12.2, 12.23, 12.21, 12.2, 12.15]. The historical stock value data of CMI for the past 10 hours is: [296.67, 294.74, 292.48, 292.2, 293.67, 294.07, 294.01, 293.38, 297.44, 296.87]. 
Option C: The historical stock value data of RSPN for the past 10 hours is: [47.8, 47.64, 47.38, 47.25, 47.37, 47.33, 47.42, 47.38, 47.93, 47.91]. The historical stock value data of SQ for the past 10 hours is: [64.58, 62.28, 61.86, 61.29, 61.62, 61.12, 61.35, 61.25, 62.55, 61.39]. The historical stock value data of IGD for the past 10 hours is: [5.6, 5.58, 5.56, 5.54, 5.54, 5.52, 5.51, 5.52, 5.56, 5.55]. The historical stock value data of GPOR for the past 10 hours is: [139.0, 138.02, 137.24, 136.89, 137.68, 137.24, 138.21, 137.79, 138.61, 139.18]. ",external_data_mc/answer_info/answer_info_48.pkl,external_data_mc/executor_variables/executor_variables_48.pkl
49,VaR-confidence_level,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' historical price data. I want to know which investment portfolio has the lowest value at risk (VaR) over the next 12 trading days. The options are: [Option A: The portfolio contains the following stocks: SZNE weighted by : [1.0].     Option B: The portfolio contains the following stocks: UCON weighted by : [1.0].     Option C: The portfolio contains the following stocks: JMSB weighted by : [1.0]. ]. Please choose the option that you think has the lowest VaR. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SZNE weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: UCON weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: JMSB weighted by : [1.0]. ']",B,"Option A: The historical stock value data of SZNE for the past 56 days is: [34.9, 34.91, 35.08, 34.9, 34.9, 34.87, 34.68, 34.84, 35.18, 35.2, 35.15, 34.97, 34.71, 34.86, 35.01, 35.05, 35.15, 35.26, 35.16, 35.17, 35.49, 35.79, 35.99, 35.96, 35.97, 35.88, 35.63, 35.82, 35.54, 35.34, 35.41, 35.22, 35.01, 35.26, 35.1, 35.1, 35.07, 35.1, 35.03, 34.71, 34.48, 34.14, 34.15, 34.11, 33.97, 34.06, 33.83, 33.98, 34.15, 34.42, 34.48, 34.11, 33.97, 33.56, 33.37, 33.33]. 
Option B: The historical stock value data of UCON for the past 56 days is: [22.79, 22.75, 22.74, 22.75, 22.78, 22.86, 22.82, 22.67, 22.76, 22.72, 22.63, 22.55, 22.57, 22.62, 22.71, 22.96, 22.96, 22.85, 22.82, 22.85, 22.92, 22.85, 22.88, 22.89, 22.81, 22.95, 22.91, 22.99, 23.04, 23.02, 23.06, 22.97, 23.02, 23.02, 23.03, 23.0, 23.02, 23.04, 22.88, 22.91, 22.91, 22.88, 22.84, 22.82, 22.83, 22.77, 22.91, 23.0, 22.98, 23.05, 23.06, 23.08, 23.09, 22.94, 22.9, 23.01]. 
Option C: The historical stock value data of JMSB for the past 56 days is: [20.12, 19.99, 19.81, 19.79, 20.63, 19.39, 19.45, 19.91, 19.8, 20.6, 18.77, 18.61, 19.29, 19.04, 19.5, 19.4, 20.59, 18.99, 19.22, 20.31, 19.07, 19.72, 20.1, 19.24, 18.92, 18.84, 18.7, 19.07, 18.73, 18.84, 18.96, 19.25, 19.43, 19.57, 19.69, 19.27, 19.51, 19.22, 18.62, 18.73, 17.62, 18.28, 17.41, 17.95, 17.65, 18.18, 18.18, 18.41, 18.35, 18.33, 18.17, 17.42, 17.94, 18.05, 17.41, 17.28]. ",external_data_mc/answer_info/answer_info_49.pkl,external_data_mc/executor_variables/executor_variables_49.pkl
50,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 10 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: BTBT, PCOR, VNQ weighted by : [0.409, 0.172, 0.419].     Option B: The portfolio contains the following stocks: JAVA, MOND, EUSC weighted by : [0.466, 0.483, 0.051].     Option C: The portfolio contains the following stocks: EINC, SCHM, HMC weighted by : [0.509, 0.15, 0.341]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: BTBT, PCOR, VNQ weighted by : [0.409, 0.172, 0.419]. ', 'Option B: The portfolio contains the following stocks: JAVA, MOND, EUSC weighted by : [0.466, 0.483, 0.051]. ', 'Option C: The portfolio contains the following stocks: EINC, SCHM, HMC weighted by : [0.509, 0.15, 0.341]. ']",A,"Option A: The historical stock value data of BTBT for the past 55 days is: [2.24, 2.25, 2.1, 2.21, 2.17, 2.14, 2.53, 2.56, 2.39, 2.41, 2.28, 2.5, 2.87, 2.76, 2.46, 2.42, 2.41, 2.41, 2.36, 2.29, 2.21, 2.25, 2.06, 1.88, 1.82, 1.81, 1.93, 1.98, 2.19, 2.22, 2.24, 2.23, 2.31, 2.15, 2.04, 2.02, 2.15, 2.2, 2.29, 2.17, 2.17, 2.19, 2.15, 2.21, 2.26, 2.37, 2.29, 2.17, 2.64, 2.72, 2.57, 2.38, 2.52, 2.53, 2.48]. The historical stock value data of PCOR for the past 55 days is: [79.43, 79.0, 78.93, 78.6, 79.01, 79.39, 80.9, 81.18, 81.88, 81.58, 82.36, 81.63, 82.17, 80.32, 78.61, 78.05, 77.67, 77.88, 76.65, 79.23, 75.52, 74.97, 73.44, 72.81, 72.99, 71.75, 71.72, 70.29, 70.58, 71.73, 71.11, 69.82, 70.09, 70.11, 68.42, 68.24, 69.23, 68.14, 68.52, 68.46, 68.04, 68.23, 68.3, 67.81, 67.93, 70.7, 69.23, 69.46, 70.38, 70.24, 69.57, 68.17, 68.75, 68.82, 68.96]. The historical stock value data of VNQ for the past 55 days is: [85.32, 84.89, 83.62, 83.43, 83.47, 83.44, 83.99, 84.6, 83.53, 83.02, 82.68, 84.82, 85.42, 83.99, 82.93, 83.02, 82.48, 82.91, 83.8, 84.91, 81.4, 81.67, 80.71, 79.33, 78.22, 77.64, 77.65, 78.03, 78.72, 79.44, 79.59, 79.14, 79.18, 79.99, 78.63, 78.66, 79.77, 80.3, 80.37, 81.13, 80.45, 82.1, 81.87, 82.14, 82.77, 83.92, 83.86, 83.85, 83.35, 83.32, 82.57, 80.8, 80.85, 80.32, 79.54]. 
Option B: The historical stock value data of JAVA for the past 55 days is: [58.11, 58.17, 57.82, 57.71, 57.87, 58.09, 58.57, 58.99, 58.72, 58.67, 58.58, 59.47, 59.64, 59.42, 58.98, 59.04, 58.39, 58.77, 58.91, 59.05, 58.24, 58.12, 57.24, 56.96, 56.67, 56.64, 56.67, 57.08, 57.6, 58.17, 58.16, 58.0, 58.06, 58.32, 57.62, 57.43, 57.82, 58.19, 58.7, 58.85, 58.9, 59.44, 59.59, 59.51, 59.73, 60.1, 60.02, 60.22, 60.01, 60.05, 59.84, 59.01, 59.35, 59.04, 58.33]. The historical stock value data of MOND for the past 55 days is: [2.35, 2.51, 2.29, 2.21, 2.24, 2.3, 2.35, 2.34, 2.25, 2.23, 2.21, 2.26, 2.31, 2.27, 2.23, 2.17, 2.04, 2.09, 2.28, 2.41, 2.28, 2.34, 2.3, 2.09, 2.28, 2.2, 2.09, 2.19, 2.26, 2.15, 2.21, 2.14, 2.19, 2.21, 2.19, 2.25, 2.43, 2.42, 2.47, 2.55, 2.34, 2.29, 2.21, 2.18, 2.19, 2.29, 2.32, 2.28, 2.35, 2.33, 2.26, 2.15, 2.3, 2.36, 2.32]. The historical stock value data of EUSC for the past 55 days is: [36.14, 36.12, 36.07, 36.18, 36.13, 36.23, 36.6, 36.63, 36.75, 36.81, 37.07, 37.46, 37.47, 37.58, 37.19, 37.35, 37.16, 37.3, 37.49, 37.38, 37.28, 37.28, 36.97, 36.81, 36.62, 36.69, 36.82, 36.85, 37.21, 37.47, 37.44, 37.17, 37.47, 37.8, 37.51, 37.4, 37.79, 37.97, 38.22, 38.55, 38.6, 38.77, 39.03, 39.01, 39.39, 39.56, 39.49, 39.57, 39.62, 39.56, 39.32, 39.15, 39.5, 39.51, 39.02]. 
Option C: The historical stock value data of EINC for the past 55 days is: [71.52, 72.01, 70.88, 71.57, 71.59, 72.34, 72.68, 72.85, 72.99, 73.16, 73.21, 73.72, 75.05, 74.93, 74.42, 75.02, 74.6, 74.53, 74.29, 74.2, 73.89, 73.54, 72.92, 72.17, 71.48, 71.8, 72.24, 73.46, 73.9, 74.21, 74.64, 74.97, 74.82, 75.08, 73.91, 72.89, 73.67, 74.24, 74.43, 74.89, 75.06, 75.61, 75.85, 75.65, 76.46, 76.56, 76.7, 77.16, 77.71, 77.66, 76.33, 75.47, 75.67, 75.99, 75.08]. The historical stock value data of SCHM for the past 55 days is: [78.72, 78.93, 78.13, 78.05, 77.99, 78.52, 79.56, 80.42, 79.81, 79.82, 79.76, 80.88, 81.16, 80.69, 79.76, 80.08, 79.16, 79.83, 80.04, 80.19, 78.7, 78.66, 77.31, 76.44, 76.15, 75.56, 75.45, 75.44, 76.14, 77.02, 77.1, 76.74, 77.07, 77.63, 76.18, 76.21, 77.07, 77.77, 78.83, 78.93, 78.74, 79.56, 79.52, 79.52, 80.13, 80.92, 80.15, 80.21, 80.27, 80.07, 79.59, 78.61, 79.33, 78.91, 78.0]. The historical stock value data of HMC for the past 55 days is: [35.2, 35.16, 35.24, 36.06, 36.43, 36.85, 37.08, 37.44, 37.68, 37.28, 37.28, 37.32, 37.23, 36.83, 36.34, 36.42, 36.2, 36.7, 37.01, 37.04, 36.58, 36.65, 36.1, 35.86, 35.13, 34.71, 34.45, 34.14, 34.55, 34.58, 34.41, 33.65, 33.85, 34.1, 33.99, 33.82, 34.36, 34.59, 34.96, 34.33, 33.88, 33.94, 33.78, 33.79, 33.52, 33.84, 32.82, 33.24, 33.86, 33.38, 33.08, 32.71, 33.24, 33.23, 32.79]. ",external_data_mc/answer_info/answer_info_50.pkl,external_data_mc/executor_variables/executor_variables_50.pkl
51,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 8 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: CNQ, FTLS, WSR, CHKP weighted by : [0.448, 0.167, 0.294, 0.092].     Option B: The portfolio contains the following stocks: UGA, XLE, FCEL, ORI weighted by : [0.241, 0.246, 0.055, 0.458].     Option C: The portfolio contains the following stocks: FG, NVCT, GGN, AMWD weighted by : [0.365, 0.111, 0.06, 0.464]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: CNQ, FTLS, WSR, CHKP weighted by : [0.448, 0.167, 0.294, 0.092]. ', 'Option B: The portfolio contains the following stocks: UGA, XLE, FCEL, ORI weighted by : [0.241, 0.246, 0.055, 0.458]. ', 'Option C: The portfolio contains the following stocks: FG, NVCT, GGN, AMWD weighted by : [0.365, 0.111, 0.06, 0.464]. ']",C,"Option A: The historical stock value data of CNQ for the past 18 hours is: [33.99, 33.93, 33.8, 33.56, 33.27, 33.13, 33.32, 33.15, 33.27, 33.23, 33.49, 33.49, 33.69, 33.61, 33.63, 33.6, 33.49, 32.17]. The historical stock value data of FTLS for the past 18 hours is: [62.41, 62.28, 62.19, 62.12, 61.87, 61.72, 61.73, 61.71, 61.79, 61.54, 61.93, 61.87, 61.97, 62.03, 61.8, 61.84, 61.71, 61.6]. The historical stock value data of WSR for the past 18 hours is: [13.05, 13.06, 13.1, 13.0, 13.04, 13.06, 13.09, 13.05, 13.1, 13.09, 12.81, 12.94, 13.02, 12.99, 13.01, 13.02, 12.99, 12.99]. The historical stock value data of CHKP for the past 18 hours is: [188.12, 187.86, 188.3, 189.36, 189.22, 188.48, 187.99, 188.07, 188.61, 188.52, 186.59, 187.59, 188.96, 189.42, 188.63, 188.74, 188.66, 189.57]. 
Option B: The historical stock value data of UGA for the past 18 hours is: [57.26, 57.49, 57.42, 57.2, 56.41, 55.9, 56.68, 56.49, 56.62, 56.68, 56.77, 56.78, 57.37, 57.0, 57.13, 57.29, 57.22, 55.54]. The historical stock value data of XLE for the past 18 hours is: [87.38, 87.32, 87.14, 86.94, 86.16, 86.01, 86.23, 85.82, 85.91, 86.03, 86.63, 86.87, 87.28, 87.18, 86.92, 86.96, 86.58, 84.79]. The historical stock value data of FCEL for the past 18 hours is: [0.42, 0.42, 0.42, 0.44, 0.43, 0.42, 0.43, 0.43, 0.43, 0.43, 0.44, 0.42, 0.42, 0.44, 0.43, 0.43, 0.42, 0.43]. The historical stock value data of ORI for the past 18 hours is: [35.57, 35.51, 35.48, 35.1, 35.09, 35.1, 35.08, 35.05, 35.1, 34.95, 34.88, 35.08, 35.19, 35.21, 35.22, 35.19, 35.03, 34.92]. 
Option C: The historical stock value data of FG for the past 18 hours is: [41.78, 41.66, 41.58, 41.35, 40.49, 40.34, 40.78, 40.23, 40.42, 40.3, 39.65, 40.0, 40.35, 40.47, 40.39, 40.21, 40.31, 39.51]. The historical stock value data of NVCT for the past 18 hours is: [6.13, 6.15, 6.17, 6.1, 6.2, 6.05, 6.05, 6.12, 6.13, 6.11, 6.31, 6.39, 6.49, 6.55, 6.52, 6.68, 6.84, 6.71]. The historical stock value data of GGN for the past 18 hours is: [4.09, 4.09, 4.09, 4.09, 4.08, 4.08, 4.09, 4.08, 4.09, 4.08, 4.07, 4.08, 4.08, 4.07, 4.07, 4.07, 4.07, 4.04]. The historical stock value data of AMWD for the past 18 hours is: [85.97, 85.9, 85.69, 84.4, 83.64, 84.29, 84.46, 83.66, 83.56, 83.32, 83.51, 84.04, 84.51, 84.43, 83.63, 83.86, 83.58, 83.39]. ",external_data_mc/answer_info/answer_info_51.pkl,external_data_mc/executor_variables/executor_variables_51.pkl
52,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 13 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: FRMEP, OCC, FRO, AZTD weighted by : [0.127, 0.303, 0.004, 0.566].     Option B: The portfolio contains the following stocks: TEAM, MYTE, RAPT, FUTY weighted by : [0.367, 0.447, 0.037, 0.15].     Option C: The portfolio contains the following stocks: RCG, GCMG, JHG, RPAY weighted by : [0.501, 0.146, 0.147, 0.206]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: FRMEP, OCC, FRO, AZTD weighted by : [0.127, 0.303, 0.004, 0.566]. ', 'Option B: The portfolio contains the following stocks: TEAM, MYTE, RAPT, FUTY weighted by : [0.367, 0.447, 0.037, 0.15]. ', 'Option C: The portfolio contains the following stocks: RCG, GCMG, JHG, RPAY weighted by : [0.501, 0.146, 0.147, 0.206]. ']",B,"Option A: The historical stock value data of FRMEP for the past 73 days is: [24.7, 24.53, 24.54, 24.79, 24.83, 24.84, 24.79, 24.8, 25.05, 25.05, 25.02, 24.84, 24.84, 24.8, 24.8, 25.06, 24.93, 24.93, 24.93, 24.99, 24.89, 24.98, 24.98, 25.01, 25.01, 25.01, 25.04, 24.69, 24.76, 24.93, 24.74, 24.64, 24.44, 24.54, 24.26, 24.3, 24.63, 24.66, 24.7, 24.25, 24.58, 24.54, 24.54, 24.54, 24.59, 24.57, 24.59, 24.59, 24.77, 24.86, 24.97, 24.86, 24.86, 24.86, 24.54, 24.54, 24.87, 24.75, 24.75, 24.94, 24.94, 24.75, 24.71, 25.19, 25.1, 25.37, 25.4, 25.35, 25.35, 25.0, 25.15, 25.15, 25.14]. The historical stock value data of OCC for the past 73 days is: [3.0, 3.0, 2.86, 2.8, 2.79, 2.88, 2.93, 2.8, 2.85, 2.85, 3.08, 2.99, 2.77, 2.78, 2.81, 2.76, 2.75, 2.75, 2.81, 2.81, 2.81, 2.81, 2.77, 2.85, 2.8, 2.82, 2.91, 2.86, 2.8, 2.75, 2.74, 2.76, 2.9, 2.9, 2.78, 2.82, 2.76, 2.75, 2.74, 2.72, 2.75, 2.73, 2.74, 2.81, 2.71, 2.71, 2.72, 2.68, 2.7, 2.65, 2.83, 2.7, 2.66, 2.65, 2.65, 2.77, 2.67, 2.69, 2.69, 2.75, 2.75, 2.71, 2.79, 2.67, 2.67, 2.65, 2.75, 2.78, 2.66, 2.66, 2.83, 2.66, 2.78]. The historical stock value data of FRO for the past 73 days is: [22.25, 22.6, 22.5, 22.3, 22.21, 23.33, 23.49, 23.38, 23.61, 24.02, 24.43, 24.87, 25.23, 25.41, 25.76, 25.94, 26.09, 26.68, 27.45, 26.58, 26.55, 27.11, 27.73, 27.27, 26.55, 26.89, 26.54, 25.52, 26.06, 25.47, 24.92, 25.39, 24.61, 25.13, 24.46, 23.39, 23.3, 24.01, 24.65, 24.99, 25.33, 24.99, 25.39, 25.56, 25.06, 24.28, 24.62, 24.52, 23.7, 23.15, 22.86, 22.71, 22.73, 22.9, 22.94, 23.15, 22.77, 22.94, 23.31, 24.86, 24.56, 23.85, 23.2, 22.95, 23.34, 23.52, 23.94, 23.53, 22.67, 21.57, 22.18, 22.14, 22.48]. The historical stock value data of AZTD for the past 73 days is: [20.79, 21.03, 21.11, 20.98, 21.0, 21.07, 21.35, 21.38, 21.48, 21.32, 21.37, 21.39, 21.46, 21.48, 21.58, 21.6, 21.61, 21.6, 21.6, 21.41, 21.35, 21.58, 21.66, 21.39, 21.61, 22.05, 21.88, 21.77, 22.0, 21.91, 21.7, 21.91, 21.73, 21.83, 21.38, 21.2, 21.32, 21.31, 21.28, 21.21, 21.34, 21.38, 21.32, 21.49, 21.52, 21.45, 21.45, 21.54, 21.58, 21.56, 21.51, 21.69, 21.89, 22.07, 22.14, 22.61, 22.45, 22.26, 22.12, 22.26, 22.17, 21.7, 21.64, 21.72, 21.88, 21.9, 22.14, 21.52, 20.86, 20.12, 20.24, 20.14, 20.59]. 
Option B: The historical stock value data of TEAM for the past 73 days is: [198.41, 179.45, 177.07, 172.3, 172.77, 183.55, 183.52, 181.77, 184.12, 178.52, 179.85, 179.75, 182.83, 184.08, 184.21, 182.21, 179.72, 179.84, 178.05, 174.8, 174.18, 168.86, 164.82, 165.76, 160.39, 156.86, 159.42, 157.94, 157.88, 163.46, 163.36, 162.17, 163.16, 162.83, 156.02, 160.09, 156.62, 153.18, 157.52, 162.46, 164.75, 167.45, 171.66, 172.99, 176.88, 178.25, 182.28, 182.26, 187.32, 181.8, 177.98, 174.45, 177.63, 181.45, 179.95, 183.17, 178.92, 176.1, 176.5, 175.55, 175.12, 167.6, 178.22, 177.32, 178.14, 174.38, 176.57, 173.24, 143.68, 142.85, 139.85, 137.41, 138.79]. The historical stock value data of MYTE for the past 73 days is: [4.15, 4.14, 4.31, 3.92, 4.13, 4.25, 4.27, 4.5, 4.32, 4.31, 4.3, 4.55, 4.84, 5.0, 4.84, 4.9, 5.0, 5.02, 5.12, 5.04, 4.98, 5.29, 5.46, 5.34, 5.42, 5.37, 5.42, 5.41, 5.52, 5.74, 6.09, 6.0, 5.51, 5.58, 5.51, 4.96, 4.49, 4.88, 4.96, 4.93, 4.93, 5.04, 4.92, 4.85, 5.1, 5.07, 4.99, 4.75, 4.77, 4.54, 4.4, 4.32, 4.91, 4.68, 4.34, 4.34, 4.25, 4.1, 4.02, 4.06, 4.1, 4.03, 4.21, 4.13, 4.15, 4.12, 3.99, 3.89, 3.98, 3.71, 3.79, 3.63, 3.63]. The historical stock value data of RAPT for the past 73 days is: [7.8, 8.1, 7.88, 7.7, 8.18, 8.12, 8.33, 8.28, 8.08, 7.98, 4.66, 4.33, 4.4, 4.0, 4.24, 4.14, 4.04, 4.0, 4.59, 4.63, 4.49, 4.18, 4.07, 3.95, 4.05, 4.01, 3.98, 3.94, 4.17, 4.03, 3.84, 3.82, 3.69, 3.55, 3.48, 3.32, 3.31, 3.19, 3.09, 3.14, 3.24, 3.08, 3.05, 2.89, 3.05, 2.88, 2.79, 2.72, 2.8, 2.94, 3.22, 3.36, 3.48, 3.43, 3.57, 3.75, 3.63, 3.43, 3.29, 3.13, 3.05, 3.16, 3.12, 3.34, 3.26, 3.06, 3.14, 3.12, 2.96, 2.71, 2.64, 2.41, 2.36]. The historical stock value data of FUTY for the past 73 days is: [42.82, 42.36, 43.0, 42.77, 43.25, 43.52, 43.93, 44.12, 44.56, 45.02, 45.69, 45.66, 45.64, 45.76, 46.42, 46.28, 46.32, 46.24, 46.63, 46.09, 45.29, 45.71, 45.65, 45.07, 45.66, 46.47, 45.99, 46.0, 45.71, 45.24, 44.72, 45.29, 45.01, 44.7, 44.76, 44.69, 44.23, 44.21, 44.58, 44.38, 44.95, 44.51, 44.34, 44.43, 43.96, 43.67, 43.84, 44.08, 44.19, 44.22, 44.35, 44.76, 45.65, 45.98, 44.93, 45.36, 45.39, 45.34, 45.4, 45.81, 45.51, 46.02, 45.69, 46.11, 46.29, 46.51, 47.04, 47.89, 47.98, 46.67, 47.03, 47.25, 47.33]. 
Option C: The historical stock value data of RCG for the past 73 days is: [1.6, 1.62, 1.59, 1.59, 1.57, 1.67, 1.64, 1.6, 1.6, 1.6, 1.66, 1.67, 1.65, 1.65, 1.6, 1.6, 1.61, 1.59, 1.62, 1.6, 1.63, 1.62, 1.61, 1.6, 1.61, 1.61, 1.62, 1.62, 1.62, 1.65, 1.6, 1.71, 1.71, 1.74, 1.69, 1.72, 1.67, 1.66, 1.67, 1.66, 1.68, 1.66, 1.65, 1.7, 1.7, 1.7, 1.72, 1.72, 1.73, 1.7, 1.74, 1.73, 1.73, 1.75, 1.76, 1.79, 1.77, 1.77, 1.79, 1.78, 1.8, 1.79, 1.75, 1.77, 1.76, 1.79, 1.78, 1.77, 1.78, 1.72, 1.74, 1.74, 1.75]. The historical stock value data of GCMG for the past 73 days is: [9.12, 9.14, 9.24, 9.24, 9.33, 9.42, 9.48, 9.58, 9.59, 9.91, 9.72, 9.4, 9.33, 9.64, 9.69, 9.65, 9.75, 9.63, 9.84, 9.68, 9.61, 9.8, 9.91, 9.8, 9.85, 9.84, 9.79, 9.76, 9.94, 9.79, 9.53, 9.46, 9.63, 9.69, 9.53, 9.34, 9.52, 9.63, 9.59, 9.59, 9.56, 9.57, 9.52, 9.52, 9.66, 9.6, 9.8, 9.69, 9.58, 9.83, 9.66, 9.91, 10.01, 10.27, 10.39, 10.65, 10.68, 10.67, 10.65, 10.68, 10.71, 10.69, 10.96, 10.93, 10.93, 11.04, 11.02, 10.86, 10.48, 10.21, 10.29, 10.29, 10.18]. The historical stock value data of JHG for the past 73 days is: [30.56, 30.96, 30.79, 30.5, 30.44, 31.23, 31.8, 32.27, 32.27, 32.15, 32.33, 32.28, 32.57, 33.41, 34.4, 33.84, 33.98, 33.98, 33.93, 33.75, 33.35, 33.99, 33.41, 32.76, 32.79, 33.12, 32.87, 32.59, 32.52, 32.37, 31.99, 32.6, 32.28, 32.65, 32.51, 32.31, 32.75, 33.16, 33.43, 33.56, 33.62, 33.47, 33.29, 33.36, 33.33, 33.17, 34.05, 34.1, 33.71, 33.8, 34.0, 34.7, 34.81, 34.8, 35.4, 36.0, 35.19, 35.02, 34.99, 35.79, 35.7, 35.13, 35.85, 36.14, 35.88, 36.21, 36.81, 37.18, 35.48, 33.46, 33.81, 33.22, 33.92]. The historical stock value data of RPAY for the past 73 days is: [10.01, 10.17, 10.08, 10.17, 10.16, 10.39, 10.33, 10.8, 10.95, 10.97, 10.58, 10.33, 10.3, 10.49, 10.31, 10.09, 10.18, 10.21, 10.08, 9.82, 9.83, 9.77, 9.83, 9.76, 9.7, 9.74, 10.06, 9.87, 9.95, 10.03, 10.26, 10.7, 10.87, 11.0, 10.66, 10.6, 10.8, 10.74, 10.69, 10.5, 10.58, 10.45, 10.51, 10.63, 10.56, 10.43, 10.21, 9.42, 9.62, 9.69, 9.5, 9.17, 9.49, 9.46, 9.59, 9.82, 10.06, 9.78, 9.75, 9.65, 9.8, 9.59, 9.69, 9.92, 9.85, 9.74, 9.62, 9.36, 9.23, 8.83, 8.85, 8.66, 9.07]. ",external_data_mc/answer_info/answer_info_52.pkl,external_data_mc/executor_variables/executor_variables_52.pkl
53,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' price data for 6 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: EFAV, ASIX weighted by : [0.28, 0.72].     Option B: The portfolio contains the following stocks: RILYN, VICI weighted by : [0.34, 0.66].     Option C: The portfolio contains the following stocks: INSP, SKF weighted by : [0.615, 0.385]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: EFAV, ASIX weighted by : [0.28, 0.72]. ', 'Option B: The portfolio contains the following stocks: RILYN, VICI weighted by : [0.34, 0.66]. ', 'Option C: The portfolio contains the following stocks: INSP, SKF weighted by : [0.615, 0.385]. ']",A,"Option A: The historical stock value data of EFAV for the past 17 hours is: [76.73, 76.69, 76.66, 76.36, 76.04, 75.85, 75.94, 75.87, 75.93, 75.87, 76.49, 76.47, 76.62, 76.68, 76.48, 76.45, 76.4]. The historical stock value data of ASIX for the past 17 hours is: [27.66, 27.63, 27.67, 27.25, 27.04, 26.97, 27.17, 26.98, 27.01, 26.98, 27.12, 27.3, 27.42, 27.42, 27.45, 27.38, 27.56]. 
Option B: The historical stock value data of RILYN for the past 17 hours is: [11.86, 11.97, 12.03, 12.0, 11.72, 11.76, 11.76, 11.76, 12.0, 12.0, 13.8, 13.67, 13.69, 13.62, 13.72, 13.7, 13.59]. The historical stock value data of VICI for the past 17 hours is: [33.57, 33.62, 33.59, 33.6, 33.58, 33.47, 33.44, 33.33, 33.36, 33.47, 33.77, 33.72, 33.82, 33.81, 33.83, 33.97, 33.87]. 
Option C: The historical stock value data of INSP for the past 17 hours is: [197.88, 197.65, 197.41, 194.28, 194.99, 195.76, 197.13, 197.96, 198.18, 197.01, 213.75, 213.81, 212.03, 216.05, 213.45, 211.49, 211.56]. The historical stock value data of SKF for the past 17 hours is: [10.47, 10.49, 10.51, 10.59, 10.73, 10.81, 10.76, 10.84, 10.8, 10.83, 10.51, 10.54, 10.43, 10.4, 10.46, 10.49, 10.52]. ",external_data_mc/answer_info/answer_info_53.pkl,external_data_mc/executor_variables/executor_variables_53.pkl
54,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 5 stocks' price data for 15 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: XTR, ECF, APTO, NDMO, MBSD weighted by : [0.348, 0.089, 0.227, 0.185, 0.152].     Option B: The portfolio contains the following stocks: NTST, SRZN, CDW, VRME, ANSS weighted by : [0.074, 0.313, 0.194, 0.071, 0.348].     Option C: The portfolio contains the following stocks: VET, HYTR, NUAG, KBWP, LQDT weighted by : [0.088, 0.535, 0.12, 0.217, 0.04]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: XTR, ECF, APTO, NDMO, MBSD weighted by : [0.348, 0.089, 0.227, 0.185, 0.152]. ', 'Option B: The portfolio contains the following stocks: NTST, SRZN, CDW, VRME, ANSS weighted by : [0.074, 0.313, 0.194, 0.071, 0.348]. ', 'Option C: The portfolio contains the following stocks: VET, HYTR, NUAG, KBWP, LQDT weighted by : [0.088, 0.535, 0.12, 0.217, 0.04]. ']",B,"Option A: The historical stock value data of XTR for the past 42 days is: [25.78, 25.74, 25.85, 26.0, 25.86, 25.84, 25.74, 25.95, 26.06, 26.16, 26.27, 26.61, 26.66, 26.75, 26.84, 26.96, 26.66, 26.87, 26.91, 27.01, 27.01, 27.04, 26.97, 26.81, 26.64, 26.55, 26.58, 26.92, 26.89, 27.02, 27.01, 27.04, 26.93, 26.81, 27.03, 27.34, 27.41, 27.48, 27.52, 27.65, 27.62, 28.03]. The historical stock value data of ECF for the past 42 days is: [7.26, 7.24, 7.25, 7.36, 7.34, 7.32, 7.26, 7.4, 7.41, 7.42, 7.43, 7.57, 7.72, 7.78, 7.78, 7.83, 7.76, 7.77, 7.85, 7.88, 7.94, 7.83, 7.71, 7.65, 7.56, 7.56, 7.57, 7.61, 7.56, 7.59, 7.58, 7.59, 7.56, 7.48, 7.5, 7.49, 7.59, 7.58, 7.62, 7.59, 7.59, 7.63]. The historical stock value data of APTO for the past 42 days is: [2.23, 2.69, 2.44, 2.66, 2.44, 2.45, 2.44, 2.68, 2.8, 2.61, 2.44, 2.34, 2.44, 2.39, 2.35, 2.36, 2.33, 2.26, 2.32, 2.31, 2.56, 2.47, 2.54, 2.38, 2.27, 2.27, 2.21, 2.29, 2.42, 2.38, 2.29, 2.28, 2.23, 2.2, 2.2, 2.18, 1.97, 1.89, 2.09, 1.9, 1.98, 1.96]. The historical stock value data of NDMO for the past 42 days is: [9.28, 9.36, 9.26, 9.54, 9.45, 9.46, 9.4, 9.47, 9.35, 9.22, 9.26, 9.53, 9.61, 9.51, 9.43, 9.44, 9.41, 9.37, 9.47, 9.45, 9.52, 9.4, 9.41, 9.49, 9.58, 9.56, 9.53, 9.65, 9.63, 9.67, 9.74, 9.7, 9.62, 9.56, 9.51, 9.49, 9.51, 9.49, 9.49, 9.57, 9.56, 9.7]. The historical stock value data of MBSD for the past 42 days is: [19.56, 19.62, 19.55, 19.7, 19.62, 19.72, 19.76, 19.78, 19.7, 19.71, 19.74, 19.98, 20.06, 19.93, 19.93, 19.98, 20.03, 20.02, 20.02, 20.03, 20.16, 20.09, 20.08, 19.98, 20.01, 19.94, 19.92, 19.98, 19.97, 19.98, 20.07, 20.1, 19.97, 19.93, 19.93, 19.93, 19.95, 19.92, 19.91, 19.96, 19.93, 20.01]. 
Option B: The historical stock value data of NTST for the past 42 days is: [14.77, 14.59, 14.83, 15.5, 16.03, 16.13, 16.17, 16.31, 16.02, 16.07, 15.92, 16.47, 16.87, 16.56, 16.4, 16.62, 16.68, 16.92, 16.99, 17.25, 17.29, 17.37, 17.21, 17.64, 17.47, 17.46, 17.19, 17.64, 17.8, 17.95, 17.9, 17.92, 17.91, 17.71, 17.48, 17.82, 17.85, 17.81, 17.44, 17.75, 17.63, 17.58]. The historical stock value data of SRZN for the past 42 days is: [6.75, 7.03, 7.2, 7.35, 7.72, 8.02, 7.72, 8.11, 7.8, 7.35, 7.05, 7.5, 8.2, 8.19, 8.19, 8.18, 7.98, 7.88, 8.38, 8.72, 8.52, 9.0, 9.4, 10.15, 10.15, 10.37, 10.53, 10.16, 10.6, 10.6, 9.55, 9.5, 9.41, 9.4, 8.88, 8.02, 8.21, 8.3, 7.68, 7.82, 7.6, 7.89]. The historical stock value data of CDW for the past 42 days is: [211.02, 210.43, 209.23, 210.9, 210.94, 208.77, 207.95, 210.92, 211.53, 214.04, 215.92, 216.32, 218.72, 221.49, 221.94, 222.2, 220.67, 223.34, 224.86, 226.94, 226.77, 226.91, 225.55, 218.95, 215.6, 213.4, 212.37, 216.51, 216.48, 218.55, 219.44, 217.43, 219.0, 217.36, 223.27, 224.69, 225.14, 223.05, 224.56, 227.2, 227.9, 227.32]. The historical stock value data of VRME for the past 42 days is: [1.02, 1.04, 1.04, 1.07, 1.04, 1.03, 1.02, 1.01, 1.14, 1.2, 1.3, 1.15, 1.13, 1.14, 1.08, 1.04, 1.04, 1.08, 1.05, 1.06, 1.1, 1.1, 1.12, 1.12, 1.17, 1.15, 1.08, 1.11, 1.11, 1.13, 1.13, 1.1, 1.08, 1.02, 1.02, 1.06, 1.09, 1.08, 1.08, 1.1, 1.09, 1.08]. The historical stock value data of ANSS for the past 42 days is: [294.62, 298.86, 293.36, 295.48, 287.54, 279.27, 282.0, 286.11, 287.2, 290.13, 296.36, 297.06, 294.9, 295.47, 297.45, 298.44, 296.74, 303.16, 357.98, 360.88, 358.9, 361.86, 362.88, 353.0, 343.22, 344.16, 344.08, 348.63, 353.95, 354.86, 357.79, 346.48, 327.42, 330.24, 328.27, 337.0, 341.02, 341.86, 339.57, 339.42, 332.24, 333.19]. 
Option C: The historical stock value data of VET for the past 42 days is: [12.26, 12.39, 12.36, 12.23, 11.75, 11.38, 10.94, 10.9, 11.13, 10.91, 10.61, 11.36, 11.98, 11.8, 12.07, 12.47, 12.2, 12.29, 12.25, 12.57, 12.2, 11.96, 11.88, 11.83, 12.11, 11.84, 12.0, 11.78, 11.68, 11.52, 11.63, 11.67, 10.82, 10.57, 10.49, 10.54, 10.56, 10.43, 10.53, 10.76, 10.79, 10.67]. The historical stock value data of HYTR for the past 42 days is: [20.03, 20.12, 20.08, 20.24, 20.23, 20.22, 20.25, 20.27, 20.22, 20.2, 20.26, 20.54, 20.65, 20.6, 20.61, 20.69, 20.69, 20.79, 20.72, 20.79, 20.88, 20.81, 20.74, 20.66, 20.61, 20.53, 20.54, 20.65, 20.69, 20.72, 20.79, 20.81, 20.68, 20.58, 20.62, 20.65, 20.7, 20.69, 20.68, 20.81, 20.81, 20.84]. The historical stock value data of NUAG for the past 42 days is: [19.67, 19.8, 19.72, 19.89, 19.85, 19.96, 20.03, 20.04, 19.95, 19.95, 20.0, 20.27, 20.49, 20.43, 20.39, 20.42, 20.48, 20.48, 20.46, 20.47, 20.64, 20.59, 20.55, 20.44, 20.44, 20.34, 20.28, 20.36, 20.37, 20.35, 20.45, 20.49, 20.35, 20.29, 20.28, 20.29, 20.32, 20.28, 20.25, 20.33, 20.33, 20.39]. The historical stock value data of KBWP for the past 42 days is: [89.28, 88.92, 90.5, 90.67, 91.13, 90.95, 89.94, 89.45, 89.7, 90.43, 91.33, 91.03, 88.93, 88.18, 89.06, 89.54, 88.11, 88.44, 88.85, 88.96, 89.11, 89.71, 89.83, 90.99, 90.89, 91.71, 91.99, 91.71, 91.15, 91.52, 92.28, 92.36, 92.46, 92.62, 93.22, 95.25, 96.12, 95.56, 96.96, 97.55, 97.39, 97.44]. The historical stock value data of LQDT for the past 42 days is: [20.04, 19.2, 19.16, 19.76, 19.81, 19.59, 19.92, 17.15, 17.12, 17.26, 17.34, 17.65, 16.99, 17.42, 17.13, 17.22, 17.34, 17.45, 17.31, 17.11, 17.04, 17.02, 17.21, 17.13, 17.45, 17.03, 16.65, 16.95, 16.92, 16.97, 17.07, 17.14, 17.08, 16.93, 16.9, 16.92, 17.21, 17.37, 17.47, 17.43, 17.54, 17.72]. ",external_data_mc/answer_info/answer_info_54.pkl,external_data_mc/executor_variables/executor_variables_54.pkl
55,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 9 stocks' price data for 5 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: FBRT, LSPD, EVTR, WAL, COP, KWR, RVMD, WGO, AAPU weighted by : [0.191, 0.106, 0.14, 0.119, 0.039, 0.068, 0.153, 0.171, 0.013].     Option B: The portfolio contains the following stocks: ULST, QMMM, BAB, QUAD, MAA, TSCO, BGNE, ALAB, PBF weighted by : [0.223, 0.034, 0.09, 0.217, 0.199, 0.108, 0.048, 0.062, 0.019].     Option C: The portfolio contains the following stocks: LASR, BLZE, RELX, BRDG, AVTR, PAGS, NWL, VNT, SRFM weighted by : [0.145, 0.019, 0.237, 0.136, 0.004, 0.117, 0.089, 0.039, 0.213]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: FBRT, LSPD, EVTR, WAL, COP, KWR, RVMD, WGO, AAPU weighted by : [0.191, 0.106, 0.14, 0.119, 0.039, 0.068, 0.153, 0.171, 0.013]. ', 'Option B: The portfolio contains the following stocks: ULST, QMMM, BAB, QUAD, MAA, TSCO, BGNE, ALAB, PBF weighted by : [0.223, 0.034, 0.09, 0.217, 0.199, 0.108, 0.048, 0.062, 0.019]. ', 'Option C: The portfolio contains the following stocks: LASR, BLZE, RELX, BRDG, AVTR, PAGS, NWL, VNT, SRFM weighted by : [0.145, 0.019, 0.237, 0.136, 0.004, 0.117, 0.089, 0.039, 0.213]. ']",C,"Option A: The historical stock value data of FBRT for the past 13 hours is: [13.15, 13.18, 13.13, 12.93, 12.96, 13.02, 13.0, 12.97, 12.92, 12.91, 12.85, 12.87, 12.8]. The historical stock value data of LSPD for the past 13 hours is: [11.94, 12.06, 12.05, 12.35, 12.26, 12.31, 12.32, 12.31, 12.32, 12.27, 11.97, 12.01, 11.89]. The historical stock value data of EVTR for the past 13 hours is: [51.85, 51.84, 51.82, 51.81, 51.84, 51.85, 51.89, 51.87, 51.88, 51.9, 51.94, 51.97, 52.0]. The historical stock value data of WAL for the past 13 hours is: [78.49, 79.17, 78.8, 81.84, 81.96, 81.57, 81.99, 81.56, 82.0, 81.62, 78.85, 79.54, 78.21]. The historical stock value data of COP for the past 13 hours is: [105.89, 106.14, 106.06, 106.25, 106.0, 106.31, 106.04, 105.95, 106.01, 105.61, 103.99, 104.54, 103.96]. The historical stock value data of KWR for the past 13 hours is: [161.88, 162.2, 161.1, 160.31, 159.17, 159.76, 159.38, 158.97, 158.91, 159.36, 159.92, 161.0, 159.38]. The historical stock value data of RVMD for the past 13 hours is: [41.32, 42.06, 41.84, 42.94, 42.29, 42.24, 42.46, 42.12, 42.28, 42.11, 41.62, 41.68, 41.12]. The historical stock value data of WGO for the past 13 hours is: [56.7, 57.06, 56.19, 56.72, 56.65, 57.06, 57.06, 56.87, 56.86, 56.09, 54.44, 55.01, 54.52]. The historical stock value data of AAPU for the past 13 hours is: [34.48, 34.89, 34.76, 34.15, 34.17, 34.52, 34.75, 33.61, 34.21, 34.77, 34.43, 34.45, 34.0]. 
Option B: The historical stock value data of ULST for the past 13 hours is: [40.67, 40.67, 40.67, 40.66, 40.67, 40.66, 40.66, 40.66, 40.67, 40.67, 40.67, 40.67, 40.69]. The historical stock value data of QMMM for the past 13 hours is: [5.81, 5.92, 6.1, 6.39, 6.22, 6.35, 6.38, 6.35, 6.35, 6.59, 6.33, 6.27, 6.68]. The historical stock value data of BAB for the past 13 hours is: [27.84, 27.83, 27.83, 27.86, 27.88, 27.88, 27.91, 27.87, 27.9, 27.91, 27.89, 27.94, 27.92]. The historical stock value data of QUAD for the past 13 hours is: [4.31, 4.29, 4.26, 4.26, 4.23, 4.29, 4.3, 4.32, 4.34, 4.28, 4.22, 4.3, 4.27]. The historical stock value data of MAA for the past 13 hours is: [158.8, 159.23, 159.56, 160.08, 160.55, 160.93, 160.83, 160.43, 160.39, 160.32, 160.55, 162.08, 161.6]. The historical stock value data of TSCO for the past 13 hours is: [272.75, 272.81, 270.59, 273.73, 274.28, 275.2, 274.89, 272.53, 272.27, 272.93, 270.48, 271.84, 269.39]. The historical stock value data of BGNE for the past 13 hours is: [192.1, 192.34, 191.11, 191.57, 192.04, 192.09, 192.72, 192.51, 191.41, 193.26, 195.15, 195.59, 195.65]. The historical stock value data of ALAB for the past 13 hours is: [39.9, 40.29, 40.0, 39.34, 38.39, 38.99, 38.54, 38.12, 38.35, 38.02, 38.15, 38.14, 38.01]. The historical stock value data of PBF for the past 13 hours is: [32.28, 32.16, 32.34, 32.55, 32.23, 32.4, 32.37, 32.2, 32.33, 31.97, 31.84, 31.99, 31.88]. 
Option C: The historical stock value data of LASR for the past 13 hours is: [10.52, 10.56, 10.53, 10.49, 10.51, 10.55, 10.46, 10.43, 10.51, 10.47, 10.5, 10.5, 10.44]. The historical stock value data of BLZE for the past 13 hours is: [5.68, 5.75, 5.75, 5.86, 5.77, 5.82, 5.82, 5.77, 5.76, 5.8, 5.71, 5.72, 5.7]. The historical stock value data of RELX for the past 13 hours is: [46.15, 46.21, 46.21, 46.66, 46.76, 46.92, 46.96, 46.79, 46.92, 46.92, 47.07, 47.1, 46.96]. The historical stock value data of BRDG for the past 13 hours is: [7.9, 7.87, 7.84, 7.94, 7.87, 7.9, 7.94, 7.93, 7.98, 7.93, 7.86, 7.79, 7.75]. The historical stock value data of AVTR for the past 13 hours is: [25.33, 25.5, 25.55, 25.93, 25.86, 25.93, 25.94, 25.77, 25.67, 25.8, 26.32, 26.52, 26.3]. The historical stock value data of PAGS for the past 13 hours is: [9.44, 9.44, 9.4, 9.28, 9.34, 9.38, 9.39, 9.39, 9.31, 9.2, 9.07, 9.1, 9.06]. The historical stock value data of NWL for the past 13 hours is: [7.53, 7.59, 7.62, 7.11, 7.16, 7.22, 7.22, 7.24, 7.16, 7.1, 6.91, 6.96, 6.86]. The historical stock value data of VNT for the past 13 hours is: [32.81, 32.76, 32.55, 32.48, 32.38, 32.42, 32.54, 32.6, 32.51, 32.29, 32.24, 32.43, 32.15]. The historical stock value data of SRFM for the past 13 hours is: [1.0, 1.02, 1.03, 1.05, 1.13, 1.07, 1.1, 1.12, 1.09, 1.14, 1.25, 1.24, 1.29]. ",external_data_mc/answer_info/answer_info_55.pkl,external_data_mc/executor_variables/executor_variables_55.pkl
56,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 10 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: SIXG, BDRY, CATH, ZJYL weighted by : [0.09, 0.439, 0.454, 0.017].     Option B: The portfolio contains the following stocks: WLDR, VTGN, OALC, MAC weighted by : [0.526, 0.046, 0.381, 0.047].     Option C: The portfolio contains the following stocks: CELH, WIMI, GNK, LCNB weighted by : [0.272, 0.237, 0.247, 0.243]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SIXG, BDRY, CATH, ZJYL weighted by : [0.09, 0.439, 0.454, 0.017]. ', 'Option B: The portfolio contains the following stocks: WLDR, VTGN, OALC, MAC weighted by : [0.526, 0.046, 0.381, 0.047]. ', 'Option C: The portfolio contains the following stocks: CELH, WIMI, GNK, LCNB weighted by : [0.272, 0.237, 0.247, 0.243]. ']",A,"Option A: The historical stock value data of SIXG for the past 40 days is: [31.01, 31.22, 31.28, 31.18, 30.61, 31.09, 30.78, 30.29, 29.95, 29.52, 29.39, 29.67, 28.91, 28.59, 28.77, 28.78, 29.16, 29.49, 30.06, 30.6, 30.6, 30.85, 30.93, 30.75, 31.42, 31.29, 32.23, 32.37, 32.13, 32.33, 32.68, 32.37, 32.46, 32.69, 32.63, 32.6, 32.99, 32.94, 33.15, 32.93]. The historical stock value data of BDRY for the past 40 days is: [5.97, 5.67, 5.78, 5.6, 5.87, 5.81, 6.09, 5.83, 5.67, 5.76, 5.54, 5.41, 5.29, 5.18, 5.06, 4.94, 5.01, 4.8, 5.01, 5.15, 5.27, 5.2, 5.4, 5.8, 5.7, 5.95, 5.93, 6.15, 6.44, 6.42, 6.42, 6.55, 6.62, 7.52, 7.77, 7.8, 8.71, 9.33, 10.04, 9.34]. The historical stock value data of CATH for the past 40 days is: [52.22, 52.53, 52.6, 52.24, 51.98, 52.52, 52.59, 51.94, 51.42, 50.77, 50.7, 51.06, 50.38, 49.72, 49.45, 49.95, 50.35, 50.82, 51.91, 52.42, 52.53, 52.61, 52.63, 52.24, 53.06, 53.04, 54.16, 54.31, 54.39, 54.49, 54.91, 54.84, 55.01, 54.99, 54.95, 54.97, 54.93, 55.05, 55.49, 55.18]. The historical stock value data of ZJYL for the past 40 days is: [0.89, 0.92, 0.95, 0.89, 0.95, 0.91, 0.91, 0.95, 0.88, 0.54, 0.52, 0.47, 0.47, 0.47, 0.47, 0.45, 0.44, 0.44, 0.44, 0.46, 0.46, 0.45, 0.47, 0.45, 0.46, 0.45, 0.46, 0.46, 0.54, 0.63, 0.85, 1.13, 1.1, 1.21, 1.19, 1.22, 1.18, 1.2, 1.25, 1.25]. 
Option B: The historical stock value data of WLDR for the past 40 days is: [24.77, 25.07, 25.05, 24.82, 24.62, 24.91, 24.96, 24.63, 24.3, 24.02, 23.87, 23.88, 23.73, 23.64, 23.51, 23.71, 23.73, 24.08, 24.43, 24.97, 24.74, 24.65, 24.55, 24.57, 24.8, 25.05, 25.4, 25.45, 25.29, 25.51, 25.63, 25.56, 25.5, 25.75, 25.69, 25.76, 25.71, 25.79, 26.03, 25.83]. The historical stock value data of VTGN for the past 40 days is: [3.55, 3.7, 3.37, 3.35, 3.44, 3.17, 3.4, 3.16, 3.01, 2.98, 3.03, 2.98, 3.07, 3.03, 2.92, 3.09, 3.18, 3.05, 3.28, 3.35, 3.39, 3.48, 3.08, 2.89, 2.57, 2.73, 3.18, 3.29, 3.32, 3.38, 3.5, 3.27, 3.35, 3.59, 3.76, 3.72, 3.69, 3.59, 3.65, 4.15]. The historical stock value data of OALC for the past 40 days is: [22.59, 22.66, 22.68, 22.52, 22.49, 22.71, 22.79, 22.61, 22.33, 22.03, 21.93, 22.08, 21.81, 21.78, 21.61, 21.75, 21.95, 22.1, 22.38, 22.71, 22.71, 22.79, 22.76, 22.64, 23.08, 23.08, 23.54, 23.52, 23.44, 23.48, 23.64, 23.62, 23.71, 23.74, 23.73, 23.68, 23.79, 23.99, 24.17, 24.07]. The historical stock value data of MAC for the past 40 days is: [10.11, 10.26, 10.49, 10.39, 10.35, 10.51, 10.76, 10.45, 10.15, 10.06, 9.84, 9.89, 9.44, 9.63, 9.25, 9.3, 9.26, 9.35, 9.95, 10.69, 10.07, 10.07, 9.89, 9.63, 10.0, 9.77, 11.03, 11.28, 10.84, 10.96, 11.0, 10.63, 10.61, 10.64, 10.69, 10.99, 11.0, 11.11, 11.74, 12.08]. 
Option C: The historical stock value data of CELH for the past 40 days is: [52.86, 55.68, 55.25, 52.92, 54.56, 55.73, 58.01, 57.35, 57.31, 54.01, 54.63, 56.98, 55.9, 53.46, 53.27, 53.68, 50.7, 51.74, 54.0, 58.18, 58.97, 58.05, 59.76, 58.12, 57.5, 54.14, 52.25, 51.59, 50.04, 49.97, 54.18, 52.29, 53.92, 53.56, 53.69, 52.25, 50.6, 49.51, 51.99, 52.36]. The historical stock value data of WIMI for the past 40 days is: [0.68, 0.7, 0.69, 0.67, 0.68, 0.75, 0.77, 0.71, 0.66, 0.62, 0.64, 0.69, 0.67, 0.63, 0.6, 0.61, 0.62, 0.6, 0.6, 0.61, 0.59, 0.58, 0.6, 0.58, 0.58, 0.6, 0.59, 0.64, 0.62, 0.64, 0.64, 0.63, 0.68, 0.69, 0.68, 0.69, 0.66, 0.63, 0.67, 0.63]. The historical stock value data of GNK for the past 40 days is: [13.66, 13.54, 13.52, 13.37, 13.46, 13.32, 13.64, 13.46, 13.37, 13.26, 12.78, 13.07, 12.82, 12.55, 12.28, 12.3, 12.3, 12.13, 12.32, 12.53, 12.52, 12.21, 11.97, 12.78, 12.58, 12.78, 13.01, 13.04, 13.23, 13.41, 13.4, 13.94, 13.87, 14.52, 14.31, 14.07, 14.22, 14.64, 15.22, 14.77]. The historical stock value data of LCNB for the past 40 days is: [13.07, 12.98, 13.13, 12.95, 12.74, 12.98, 13.22, 12.71, 12.41, 12.51, 12.28, 12.64, 12.72, 13.28, 13.29, 13.3, 13.17, 13.19, 13.41, 14.03, 14.17, 14.27, 14.16, 13.77, 13.63, 13.38, 14.3, 14.32, 14.23, 14.24, 13.89, 13.84, 14.02, 13.96, 13.9, 13.79, 14.06, 13.91, 14.25, 14.16]. ",external_data_mc/answer_info/answer_info_56.pkl,external_data_mc/executor_variables/executor_variables_56.pkl
57,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 8 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: RSKD, GTHX, UGL weighted by : [0.216, 0.188, 0.596].     Option B: The portfolio contains the following stocks: FAS, BKKT, PGEN weighted by : [0.137, 0.706, 0.158].     Option C: The portfolio contains the following stocks: FTEC, VVI, IDCC weighted by : [0.873, 0.068, 0.059]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: RSKD, GTHX, UGL weighted by : [0.216, 0.188, 0.596]. ', 'Option B: The portfolio contains the following stocks: FAS, BKKT, PGEN weighted by : [0.137, 0.706, 0.158]. ', 'Option C: The portfolio contains the following stocks: FTEC, VVI, IDCC weighted by : [0.873, 0.068, 0.059]. ']",B,"Option A: The historical stock value data of RSKD for the past 12 hours is: [4.81, 4.78, 4.86, 4.84, 4.84, 4.84, 4.84, 4.82, 4.77, 4.68, 4.59, 4.59]. The historical stock value data of GTHX for the past 12 hours is: [7.12, 7.13, 7.14, 7.13, 7.13, 7.14, 7.14, 7.14, 7.14, 7.13, 7.14, 7.14]. The historical stock value data of UGL for the past 12 hours is: [86.65, 86.79, 87.04, 86.77, 87.21, 87.31, 87.16, 87.33, 87.51, 87.19, 87.99, 88.03]. 
Option B: The historical stock value data of FAS for the past 12 hours is: [121.54, 121.43, 126.26, 126.29, 128.18, 128.46, 127.59, 127.11, 126.6, 121.32, 120.78, 119.24]. The historical stock value data of BKKT for the past 12 hours is: [11.4, 11.4, 11.63, 11.59, 11.94, 11.95, 12.04, 12.01, 11.93, 11.66, 11.75, 11.35]. The historical stock value data of PGEN for the past 12 hours is: [0.95, 0.94, 0.99, 0.99, 1.0, 1.0, 0.97, 0.98, 0.98, 0.98, 0.97, 0.95]. 
Option C: The historical stock value data of FTEC for the past 12 hours is: [158.92, 158.49, 159.79, 159.41, 160.55, 160.75, 159.49, 160.16, 160.63, 161.69, 161.6, 160.16]. The historical stock value data of VVI for the past 12 hours is: [32.47, 32.38, 32.18, 32.03, 31.97, 31.82, 31.77, 31.53, 31.37, 31.09, 31.27, 31.17]. The historical stock value data of IDCC for the past 12 hours is: [132.04, 132.24, 132.1, 131.6, 132.48, 132.49, 131.24, 131.43, 130.33, 132.49, 131.51, 129.96]. ",external_data_mc/answer_info/answer_info_57.pkl,external_data_mc/executor_variables/executor_variables_57.pkl
58,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 6 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: TD, NULV, IHRT, QVCC weighted by : [0.174, 0.49, 0.209, 0.126].     Option B: The portfolio contains the following stocks: BGNE, PLCE, MSA, LVS weighted by : [0.108, 0.165, 0.353, 0.374].     Option C: The portfolio contains the following stocks: JSCP, DVAX, EPS, IQDF weighted by : [0.094, 0.305, 0.333, 0.268]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: TD, NULV, IHRT, QVCC weighted by : [0.174, 0.49, 0.209, 0.126]. ', 'Option B: The portfolio contains the following stocks: BGNE, PLCE, MSA, LVS weighted by : [0.108, 0.165, 0.353, 0.374]. ', 'Option C: The portfolio contains the following stocks: JSCP, DVAX, EPS, IQDF weighted by : [0.094, 0.305, 0.333, 0.268]. ']",A,"Option A: The historical stock value data of TD for the past 17 hours is: [60.53, 60.6, 60.57, 60.53, 60.73, 60.16, 59.86, 60.22, 60.25, 60.44, 60.38, 61.29, 61.25, 61.15, 61.36, 61.42, 61.45]. The historical stock value data of NULV for the past 17 hours is: [40.0, 40.1, 40.02, 40.06, 39.92, 39.75, 39.69, 39.71, 39.65, 39.74, 39.65, 39.98, 39.98, 40.15, 40.18, 40.08, 40.08]. The historical stock value data of IHRT for the past 17 hours is: [1.48, 1.51, 1.46, 1.47, 1.47, 1.46, 1.45, 1.5, 1.49, 1.49, 1.47, 1.48, 1.48, 1.53, 1.54, 1.57, 1.57]. The historical stock value data of QVCC for the past 17 hours is: [12.24, 12.21, 12.16, 12.2, 12.42, 12.48, 12.45, 12.33, 12.37, 12.33, 12.37, 12.39, 12.39, 12.38, 12.38, 12.39, 12.38]. 
Option B: The historical stock value data of BGNE for the past 17 hours is: [193.18, 192.65, 192.53, 191.58, 191.15, 188.77, 189.24, 191.29, 192.1, 192.34, 191.11, 191.57, 192.04, 192.09, 192.72, 192.51, 191.41]. The historical stock value data of PLCE for the past 17 hours is: [5.22, 5.19, 5.14, 5.23, 5.33, 5.18, 5.13, 5.11, 5.05, 5.07, 5.1, 4.93, 4.89, 5.06, 5.02, 4.88, 4.86]. The historical stock value data of MSA for the past 17 hours is: [172.75, 172.84, 172.38, 172.55, 171.59, 170.17, 169.2, 169.23, 168.49, 168.57, 167.76, 173.66, 172.71, 172.06, 171.39, 171.73, 171.12]. The historical stock value data of LVS for the past 17 hours is: [39.56, 39.74, 40.0, 39.98, 39.84, 39.99, 39.56, 39.83, 39.9, 39.93, 39.7, 39.7, 39.67, 39.9, 39.94, 39.88, 39.93]. 
Option C: The historical stock value data of JSCP for the past 17 hours is: [47.26, 47.28, 47.29, 47.29, 47.27, 47.37, 47.33, 47.32, 47.37, 47.37, 47.36, 47.35, 47.34, 47.35, 47.38, 47.36, 47.39]. The historical stock value data of DVAX for the past 17 hours is: [10.78, 10.81, 10.8, 10.86, 10.94, 10.93, 10.9, 10.99, 11.06, 11.06, 11.03, 10.61, 10.77, 10.79, 10.94, 10.8, 10.81]. The historical stock value data of EPS for the past 17 hours is: [57.55, 57.77, 57.59, 57.68, 57.33, 56.93, 56.81, 56.86, 56.71, 56.84, 56.68, 57.22, 57.03, 57.37, 57.44, 57.25, 57.22]. The historical stock value data of IQDF for the past 17 hours is: [25.3, 25.37, 25.35, 25.34, 25.2, 25.02, 24.94, 24.98, 24.9, 24.94, 24.92, 25.09, 25.06, 25.17, 25.16, 25.09, 25.09]. ",external_data_mc/answer_info/answer_info_58.pkl,external_data_mc/executor_variables/executor_variables_58.pkl
59,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 6 stocks' price data for 8 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: NOA, NXJ, TPR, BGR, LCTX, MGPI weighted by : [0.404, 0.068, 0.029, 0.171, 0.008, 0.32].     Option B: The portfolio contains the following stocks: BKN, SOFI, BLCO, OBDE, FMX, ITRI weighted by : [0.092, 0.241, 0.222, 0.179, 0.005, 0.261].     Option C: The portfolio contains the following stocks: FXY, BKSY, SVC, COR, VDE, SA weighted by : [0.026, 0.367, 0.175, 0.292, 0.117, 0.023]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: NOA, NXJ, TPR, BGR, LCTX, MGPI weighted by : [0.404, 0.068, 0.029, 0.171, 0.008, 0.32]. ', 'Option B: The portfolio contains the following stocks: BKN, SOFI, BLCO, OBDE, FMX, ITRI weighted by : [0.092, 0.241, 0.222, 0.179, 0.005, 0.261]. ', 'Option C: The portfolio contains the following stocks: FXY, BKSY, SVC, COR, VDE, SA weighted by : [0.026, 0.367, 0.175, 0.292, 0.117, 0.023]. ']",C,"Option A: The historical stock value data of NOA for the past 16 hours is: [19.14, 19.12, 19.14, 19.07, 19.2, 18.86, 18.27, 18.34, 18.23, 18.12, 18.07, 18.04, 18.3, 18.32, 18.5, 18.39]. The historical stock value data of NXJ for the past 16 hours is: [12.83, 12.84, 12.85, 12.85, 12.85, 12.87, 12.89, 12.86, 12.89, 12.89, 12.88, 12.89, 12.91, 12.92, 12.94, 12.94]. The historical stock value data of TPR for the past 16 hours is: [41.38, 41.33, 41.35, 41.4, 41.37, 40.46, 40.12, 40.33, 40.47, 40.58, 40.69, 40.37, 41.2, 41.47, 41.96, 41.79]. The historical stock value data of BGR for the past 16 hours is: [12.85, 12.86, 12.86, 12.8, 12.81, 12.76, 12.71, 12.71, 12.72, 12.68, 12.65, 12.61, 12.69, 12.68, 12.7, 12.7]. The historical stock value data of LCTX for the past 16 hours is: [0.87, 0.87, 0.87, 0.87, 0.88, 0.85, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.86, 0.85, 0.88, 0.89]. The historical stock value data of MGPI for the past 16 hours is: [87.82, 87.96, 87.81, 88.03, 87.9, 87.8, 87.79, 88.59, 89.69, 89.07, 88.85, 88.93, 84.12, 84.25, 83.5, 84.04]. 
Option B: The historical stock value data of BKN for the past 16 hours is: [12.41, 12.41, 12.47, 12.59, 12.57, 12.59, 12.67, 12.66, 12.65, 12.65, 12.65, 12.64, 12.62, 12.64, 12.62, 12.54]. The historical stock value data of SOFI for the past 16 hours is: [7.41, 7.32, 7.37, 7.32, 7.27, 7.13, 7.05, 6.94, 7.0, 6.97, 7.01, 7.01, 7.19, 7.07, 7.16, 7.16]. The historical stock value data of BLCO for the past 16 hours is: [15.99, 16.03, 16.12, 15.93, 15.88, 15.8, 15.7, 15.67, 15.86, 15.81, 15.88, 15.9, 15.92, 15.97, 16.01, 15.98]. The historical stock value data of OBDE for the past 16 hours is: [14.52, 14.53, 14.53, 14.54, 14.54, 14.46, 14.37, 14.31, 14.35, 14.34, 14.34, 14.35, 14.39, 14.32, 14.44, 14.47]. The historical stock value data of FMX for the past 16 hours is: [103.57, 103.11, 103.25, 102.26, 102.05, 102.16, 101.21, 101.17, 101.35, 101.58, 101.8, 102.01, 102.75, 102.55, 102.53, 102.96]. The historical stock value data of ITRI for the past 16 hours is: [97.79, 97.66, 98.37, 98.58, 98.48, 96.61, 96.45, 96.27, 97.11, 96.54, 97.32, 96.8, 97.35, 96.86, 97.69, 97.92]. 
Option C: The historical stock value data of FXY for the past 16 hours is: [64.43, 64.54, 64.53, 64.46, 64.44, 64.83, 65.08, 64.87, 64.9, 64.96, 64.92, 64.93, 64.75, 64.69, 64.71, 64.75]. The historical stock value data of BKSY for the past 16 hours is: [0.89, 0.88, 0.89, 0.88, 0.88, 0.8, 0.8, 0.8, 0.79, 0.79, 0.78, 0.78, 6.88, 7.12, 7.3, 7.21]. The historical stock value data of SVC for the past 16 hours is: [4.59, 4.57, 4.61, 4.61, 4.61, 4.66, 4.65, 4.66, 4.72, 4.68, 4.65, 4.64, 4.64, 4.67, 4.69, 4.69]. The historical stock value data of COR for the past 16 hours is: [232.27, 233.13, 234.18, 234.46, 236.23, 234.34, 234.84, 235.85, 236.59, 235.52, 235.52, 234.94, 235.85, 237.18, 237.46, 237.78]. The historical stock value data of VDE for the past 16 hours is: [121.81, 121.59, 121.66, 121.61, 121.29, 121.07, 120.02, 119.72, 120.1, 119.54, 119.67, 119.73, 120.57, 120.67, 121.24, 121.11]. The historical stock value data of SA for the past 16 hours is: [16.49, 16.57, 16.56, 16.49, 16.43, 16.21, 16.27, 16.01, 16.11, 16.1, 16.05, 15.98, 16.12, 16.11, 16.15, 16.06]. ",external_data_mc/answer_info/answer_info_59.pkl,external_data_mc/executor_variables/executor_variables_59.pkl
60,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 6 stocks' price data for 15 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: OILD, FPH, MRC, VEGA, DUHP, ACRS weighted by : [0.296, 0.059, 0.101, 0.072, 0.2, 0.273].     Option B: The portfolio contains the following stocks: TWST, TNFA, MSGS, ADPT, R, BJUL weighted by : [0.213, 0.056, 0.007, 0.354, 0.059, 0.31].     Option C: The portfolio contains the following stocks: VFVA, EYEN, MERC, MSOX, RECS, CEG weighted by : [0.186, 0.237, 0.2, 0.019, 0.058, 0.3]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: OILD, FPH, MRC, VEGA, DUHP, ACRS weighted by : [0.296, 0.059, 0.101, 0.072, 0.2, 0.273]. ', 'Option B: The portfolio contains the following stocks: TWST, TNFA, MSGS, ADPT, R, BJUL weighted by : [0.213, 0.056, 0.007, 0.354, 0.059, 0.31]. ', 'Option C: The portfolio contains the following stocks: VFVA, EYEN, MERC, MSOX, RECS, CEG weighted by : [0.186, 0.237, 0.2, 0.019, 0.058, 0.3]. ']",C,"Option A: The historical stock value data of OILD for the past 68 days is: [14.09, 14.36, 14.45, 14.36, 14.27, 14.41, 13.9, 14.06, 14.31, 15.05, 15.47, 15.42, 14.89, 15.66, 15.51, 14.47, 15.63, 16.06, 16.14, 15.91, 16.03, 15.67, 15.72, 16.22, 16.72, 17.14, 17.05, 16.87, 15.98, 16.34, 15.0, 14.95, 15.42, 15.35, 15.16, 15.15, 15.15, 14.95, 15.68, 15.95, 16.34, 16.03, 15.52, 15.46, 14.76, 14.64, 14.28, 14.2, 14.68, 15.01, 15.64, 15.76, 15.11, 14.88, 15.31, 14.66, 14.41, 15.66, 17.14, 18.26, 17.91, 17.83, 16.65, 16.55, 16.26, 16.8, 16.51, 15.96]. The historical stock value data of FPH for the past 68 days is: [3.06, 3.08, 3.09, 3.23, 3.24, 3.17, 3.18, 3.11, 3.18, 3.23, 3.1, 3.17, 3.21, 3.24, 3.31, 3.26, 3.29, 3.11, 3.13, 3.07, 3.07, 3.11, 3.06, 3.11, 3.09, 3.04, 3.05, 3.04, 3.04, 3.03, 3.02, 3.0, 2.97, 2.97, 2.93, 2.93, 2.98, 2.96, 2.97, 2.97, 2.97, 2.95, 2.98, 2.99, 2.99, 2.97, 3.0, 3.01, 3.12, 3.11, 3.25, 3.2, 3.21, 3.35, 3.35, 3.33, 3.35, 3.26, 3.15, 3.02, 3.02, 2.96, 2.98, 2.98, 2.98, 2.97, 3.0, 2.99]. The historical stock value data of MRC for the past 68 days is: [12.76, 13.67, 13.85, 13.93, 13.9, 13.78, 13.48, 13.64, 13.66, 13.37, 13.14, 13.13, 13.11, 13.07, 13.08, 13.29, 13.17, 12.76, 13.04, 12.78, 12.64, 12.5, 12.67, 12.73, 12.46, 12.17, 12.33, 12.34, 12.26, 12.13, 12.27, 12.29, 12.34, 12.5, 12.91, 12.67, 12.63, 12.77, 12.26, 12.54, 12.45, 12.66, 13.27, 13.62, 13.85, 14.33, 14.44, 14.22, 14.19, 14.42, 14.74, 14.22, 14.58, 14.85, 14.65, 14.42, 14.48, 13.96, 13.31, 13.0, 13.18, 12.5, 12.08, 11.98, 11.81, 11.83, 12.18, 12.5]. The historical stock value data of VEGA for the past 68 days is: [40.78, 40.92, 40.97, 40.98, 41.55, 41.46, 41.54, 41.56, 41.38, 41.22, 40.96, 41.25, 41.48, 40.86, 40.8, 41.02, 40.99, 41.16, 41.7, 41.22, 41.4, 41.42, 41.36, 41.77, 41.76, 41.67, 41.92, 42.01, 41.97, 41.84, 41.95, 41.9, 41.8, 41.92, 41.86, 41.8, 41.87, 42.2, 42.85, 42.68, 42.33, 42.75, 42.82, 43.1, 42.92, 43.1, 42.82, 42.47, 42.03, 42.48, 42.08, 41.49, 41.76, 42.01, 42.03, 42.0, 42.48, 42.01, 41.72, 41.02, 41.21, 41.03, 41.51, 41.67, 41.72, 42.17, 42.34, 42.68]. The historical stock value data of DUHP for the past 68 days is: [30.74, 30.88, 30.87, 30.98, 31.36, 31.23, 31.25, 31.33, 31.31, 31.19, 31.02, 31.16, 31.11, 30.85, 30.79, 31.08, 31.0, 31.02, 31.37, 31.34, 31.37, 31.47, 31.56, 31.77, 31.9, 31.88, 32.21, 32.4, 32.28, 32.19, 32.15, 32.17, 32.1, 31.99, 31.99, 31.95, 32.08, 32.19, 32.29, 32.31, 32.32, 32.6, 32.51, 32.81, 32.95, 33.26, 32.9, 32.6, 32.34, 32.63, 32.46, 31.88, 31.85, 32.22, 32.16, 32.08, 32.56, 32.1, 31.61, 30.74, 31.06, 30.8, 31.63, 31.76, 31.76, 32.16, 32.35, 32.86]. The historical stock value data of ACRS for the past 68 days is: [1.23, 1.17, 1.18, 1.18, 1.18, 1.18, 1.19, 1.19, 1.18, 1.15, 1.18, 1.11, 1.05, 1.01, 1.05, 1.03, 1.04, 1.01, 1.05, 1.03, 1.01, 1.06, 1.12, 1.15, 1.19, 1.18, 1.13, 1.13, 1.13, 1.15, 1.29, 1.29, 1.12, 1.11, 1.1, 1.15, 1.14, 1.15, 1.2, 1.27, 1.26, 1.27, 1.26, 1.32, 1.35, 1.34, 1.32, 1.31, 1.32, 1.33, 1.4, 1.38, 1.35, 1.39, 1.33, 1.31, 1.34, 1.32, 1.28, 1.24, 1.22, 1.19, 1.17, 1.16, 1.14, 1.19, 1.17, 1.18]. 
Option B: The historical stock value data of TWST for the past 68 days is: [43.2, 42.37, 47.43, 48.13, 48.36, 46.5, 47.01, 44.87, 44.04, 43.09, 41.36, 42.23, 42.44, 40.69, 40.83, 41.9, 44.01, 46.98, 52.83, 53.0, 50.46, 50.01, 51.59, 52.44, 52.03, 49.84, 49.0, 50.56, 48.74, 50.97, 49.26, 47.83, 46.47, 47.48, 49.28, 48.93, 47.32, 48.0, 48.47, 48.95, 50.5, 50.99, 52.48, 53.44, 56.15, 58.66, 56.22, 53.56, 53.9, 56.22, 58.88, 56.05, 57.51, 58.08, 57.44, 55.87, 55.81, 53.05, 42.97, 45.33, 46.24, 44.55, 45.42, 43.97, 42.71, 44.56, 42.58, 45.0]. The historical stock value data of TNFA for the past 68 days is: [2.53, 2.5, 2.51, 2.33, 2.1, 2.19, 2.35, 2.38, 2.09, 2.0, 2.0, 2.0, 2.01, 1.99, 1.98, 1.86, 1.96, 1.91, 2.15, 1.91, 1.95, 2.06, 1.93, 2.04, 2.18, 2.19, 2.24, 2.11, 1.96, 1.94, 1.86, 1.85, 1.89, 1.83, 1.84, 1.84, 1.82, 1.8, 1.81, 1.79, 1.8, 1.8, 1.78, 1.8, 1.81, 1.9, 1.91, 1.78, 1.79, 1.82, 1.82, 2.0, 1.86, 1.92, 1.93, 1.93, 2.03, 1.96, 1.92, 1.82, 1.82, 1.83, 1.8, 1.75, 1.75, 1.84, 1.8, 1.81]. The historical stock value data of MSGS for the past 68 days is: [189.08, 189.03, 185.04, 185.24, 188.54, 189.13, 189.83, 186.96, 186.27, 185.78, 182.46, 184.3, 183.82, 183.1, 182.98, 184.65, 187.5, 189.51, 190.89, 186.87, 187.65, 186.48, 186.1, 187.36, 182.84, 182.12, 181.51, 182.34, 187.48, 188.5, 184.98, 185.65, 189.19, 189.58, 188.13, 192.4, 194.75, 193.69, 194.74, 193.74, 194.72, 193.86, 194.5, 197.74, 197.47, 199.04, 198.24, 196.53, 196.82, 197.35, 198.35, 196.58, 198.12, 199.06, 199.29, 201.14, 200.41, 200.24, 195.24, 187.29, 189.35, 190.26, 193.53, 196.23, 195.79, 194.77, 196.86, 200.67]. The historical stock value data of ADPT for the past 68 days is: [3.56, 3.5, 3.8, 3.96, 3.9, 3.72, 3.61, 3.59, 3.49, 3.46, 3.45, 3.44, 3.65, 3.58, 3.61, 3.45, 3.31, 3.39, 3.84, 3.9, 3.61, 3.49, 3.45, 3.46, 3.3, 3.13, 3.14, 3.08, 3.2, 3.24, 3.29, 3.39, 3.41, 3.46, 3.62, 3.6, 3.37, 3.39, 3.54, 3.61, 3.54, 3.5, 3.89, 4.0, 4.03, 4.45, 4.35, 4.23, 4.04, 4.16, 4.2, 4.17, 4.33, 4.51, 4.44, 4.6, 4.55, 4.45, 4.3, 4.32, 4.61, 4.19, 4.4, 4.47, 4.3, 4.56, 4.4, 4.93]. The historical stock value data of R for the past 68 days is: [125.93, 125.18, 124.31, 125.44, 126.76, 123.54, 124.99, 125.69, 123.88, 120.35, 119.7, 120.89, 119.93, 118.11, 119.82, 120.76, 120.25, 118.3, 120.12, 119.61, 119.44, 120.69, 117.91, 119.87, 119.48, 118.22, 118.88, 119.07, 120.19, 120.29, 124.37, 123.77, 122.05, 121.82, 123.15, 121.97, 122.97, 122.42, 121.78, 119.6, 116.52, 119.4, 124.24, 127.99, 131.16, 134.99, 133.87, 130.52, 131.36, 133.09, 132.13, 129.12, 131.22, 131.39, 134.83, 138.52, 139.34, 137.51, 130.36, 128.62, 131.37, 130.67, 132.91, 132.78, 131.07, 134.18, 135.22, 136.53]. The historical stock value data of BJUL for the past 68 days is: [40.54, 40.63, 40.66, 40.76, 41.02, 41.01, 41.04, 41.07, 41.13, 41.09, 40.95, 41.14, 41.15, 41.0, 40.87, 41.04, 41.08, 41.13, 41.33, 41.36, 41.39, 41.43, 41.47, 41.62, 41.57, 41.59, 41.65, 41.68, 41.69, 41.69, 41.68, 41.72, 41.75, 41.74, 41.78, 41.91, 42.08, 42.21, 42.37, 42.41, 42.44, 42.71, 42.47, 42.61, 42.71, 42.86, 42.5, 42.28, 42.07, 42.36, 42.35, 41.63, 41.52, 41.82, 41.91, 41.8, 42.23, 41.83, 41.24, 40.26, 40.67, 40.42, 41.11, 41.27, 41.36, 41.81, 41.96, 42.43]. 
Option C: The historical stock value data of VFVA for the past 68 days is: [115.64, 115.53, 115.67, 116.45, 116.76, 116.73, 116.96, 116.26, 116.11, 115.16, 113.51, 114.19, 113.69, 112.08, 113.47, 115.57, 114.6, 113.14, 113.69, 113.5, 113.02, 112.92, 112.06, 112.81, 111.71, 110.13, 111.11, 111.39, 111.92, 112.13, 113.29, 112.03, 111.97, 111.86, 113.07, 112.43, 112.65, 112.61, 111.27, 111.58, 111.32, 112.47, 115.4, 116.0, 117.33, 120.67, 121.21, 119.77, 118.81, 119.84, 119.94, 118.72, 120.06, 121.9, 121.35, 122.4, 122.66, 119.36, 115.18, 111.91, 112.39, 111.51, 113.49, 113.4, 112.71, 114.01, 114.04, 116.1]. The historical stock value data of EYEN for the past 68 days is: [0.81, 0.77, 0.82, 0.83, 1.06, 0.82, 0.75, 0.74, 0.74, 0.75, 0.69, 0.71, 0.69, 0.74, 0.71, 0.81, 0.76, 0.74, 0.77, 0.78, 0.76, 0.75, 0.69, 0.65, 0.62, 0.63, 0.64, 0.63, 0.65, 0.65, 0.67, 0.65, 0.63, 0.69, 0.59, 0.68, 0.74, 0.77, 0.87, 0.88, 0.91, 0.94, 1.0, 1.07, 1.07, 1.17, 1.23, 1.17, 1.11, 1.2, 1.37, 1.41, 1.44, 1.44, 1.37, 1.42, 1.25, 1.17, 1.07, 1.06, 0.93, 0.94, 0.88, 0.86, 0.88, 0.8, 0.76, 0.79]. The historical stock value data of MERC for the past 68 days is: [10.72, 10.42, 10.81, 10.32, 10.33, 10.26, 10.09, 9.53, 9.87, 9.56, 9.61, 10.0, 9.78, 9.46, 9.42, 9.42, 9.18, 9.19, 9.16, 9.24, 8.84, 8.78, 8.64, 8.53, 8.54, 8.35, 8.45, 8.5, 8.57, 8.55, 8.57, 8.53, 8.3, 8.68, 8.54, 8.04, 8.22, 8.3, 8.13, 8.29, 8.1, 8.28, 8.38, 8.48, 8.15, 8.31, 8.37, 8.01, 8.09, 8.18, 7.9, 7.77, 7.83, 7.92, 7.85, 7.67, 7.62, 7.05, 6.69, 6.48, 6.46, 6.5, 6.57, 6.93, 6.3, 6.55, 6.29, 6.24]. The historical stock value data of MSOX for the past 68 days is: [4.92, 4.87, 4.97, 5.17, 5.16, 5.34, 5.14, 4.53, 4.67, 4.35, 3.62, 3.68, 3.52, 3.25, 3.49, 3.51, 3.31, 3.39, 3.24, 3.2, 3.26, 3.29, 3.21, 3.23, 2.85, 2.66, 2.86, 2.78, 2.85, 2.91, 3.23, 3.07, 3.26, 3.51, 2.78, 2.74, 2.63, 2.85, 2.69, 2.76, 2.6, 2.57, 2.94, 2.97, 2.99, 3.11, 3.13, 3.07, 2.84, 3.16, 3.21, 2.9, 2.78, 2.91, 2.89, 2.93, 2.92, 2.77, 2.46, 2.03, 2.4, 2.2, 2.62, 2.48, 2.47, 2.5, 2.67, 2.68]. The historical stock value data of RECS for the past 68 days is: [31.02, 31.1, 31.01, 31.14, 31.5, 31.4, 31.44, 31.43, 31.5, 31.35, 31.22, 31.4, 31.36, 31.2, 30.99, 31.2, 31.29, 31.23, 31.55, 31.59, 31.57, 31.66, 31.77, 31.99, 31.96, 31.95, 32.19, 32.25, 32.13, 32.19, 32.15, 32.28, 32.25, 32.44, 32.27, 32.33, 32.47, 32.62, 32.82, 32.71, 32.85, 33.15, 32.93, 32.98, 33.15, 33.41, 32.99, 32.8, 32.54, 32.84, 32.8, 32.11, 32.05, 32.47, 32.37, 32.36, 32.67, 32.32, 31.6, 30.74, 31.07, 30.78, 31.55, 31.69, 31.7, 32.06, 32.26, 32.69]. The historical stock value data of CEG for the past 68 days is: [215.18, 214.2, 212.87, 217.0, 222.55, 215.61, 212.39, 214.34, 221.84, 219.37, 220.41, 229.85, 230.49, 220.33, 224.54, 216.85, 207.87, 202.76, 208.94, 202.22, 197.63, 214.23, 217.9, 217.72, 219.52, 214.5, 211.63, 220.0, 221.9, 217.72, 215.7, 221.96, 209.92, 204.4, 199.9, 204.67, 205.77, 209.68, 210.9, 215.33, 215.56, 219.14, 216.44, 216.74, 212.48, 204.5, 186.32, 186.93, 188.95, 190.07, 189.52, 174.75, 170.11, 174.71, 172.36, 168.38, 189.45, 177.24, 166.77, 169.65, 180.7, 179.33, 186.68, 189.52, 187.33, 189.41, 186.15, 190.39]. ",external_data_mc/answer_info/answer_info_60.pkl,external_data_mc/executor_variables/executor_variables_60.pkl
61,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 23 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: DT, SSNC, CRK weighted by : [0.482, 0.071, 0.447].     Option B: The portfolio contains the following stocks: EXEL, PDBC, TELO weighted by : [0.571, 0.308, 0.121].     Option C: The portfolio contains the following stocks: LXEO, IPGP, ASHR weighted by : [0.227, 0.587, 0.186]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: DT, SSNC, CRK weighted by : [0.482, 0.071, 0.447]. ', 'Option B: The portfolio contains the following stocks: EXEL, PDBC, TELO weighted by : [0.571, 0.308, 0.121]. ', 'Option C: The portfolio contains the following stocks: LXEO, IPGP, ASHR weighted by : [0.227, 0.587, 0.186]. ']",B,"Option A: The historical stock value data of DT for the past 10 hours is: [49.47, 49.04, 49.3, 49.42, 49.62, 49.5, 49.28, 49.43, 49.36, 49.19]. The historical stock value data of SSNC for the past 10 hours is: [73.9, 73.26, 73.18, 73.13, 73.0, 72.78, 72.96, 72.92, 72.57, 72.17]. The historical stock value data of CRK for the past 10 hours is: [9.69, 9.86, 9.88, 9.81, 9.74, 9.7, 9.71, 9.61, 9.59, 9.59]. 
Option B: The historical stock value data of EXEL for the past 10 hours is: [25.38, 25.4, 25.42, 25.45, 25.45, 25.48, 25.58, 25.42, 25.35, 25.23]. The historical stock value data of PDBC for the past 10 hours is: [13.09, 13.01, 13.01, 12.98, 12.99, 13.01, 12.99, 12.97, 12.86, 12.77]. The historical stock value data of TELO for the past 10 hours is: [4.82, 4.78, 4.74, 4.8, 4.79, 4.85, 5.04, 5.14, 5.01, 4.95]. 
Option C: The historical stock value data of LXEO for the past 10 hours is: [11.2, 11.41, 11.52, 11.5, 11.38, 11.48, 11.4, 11.02, 11.01, 10.9]. The historical stock value data of IPGP for the past 10 hours is: [66.1, 64.95, 65.44, 65.6, 65.88, 65.87, 65.59, 64.25, 63.75, 63.32]. The historical stock value data of ASHR for the past 10 hours is: [23.18, 23.15, 23.18, 23.18, 23.18, 23.19, 23.18, 22.92, 22.95, 22.9]. ",external_data_mc/answer_info/answer_info_61.pkl,external_data_mc/executor_variables/executor_variables_61.pkl
62,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 7 stocks' price data for 16 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: ETW, GORO, GUTS, MSFO, XLV, SPMD, ENTA weighted by : [0.225, 0.001, 0.254, 0.067, 0.134, 0.062, 0.257].     Option B: The portfolio contains the following stocks: MODG, BROS, ACDC, STLD, SHAK, WSR, MMM weighted by : [0.111, 0.147, 0.21, 0.21, 0.048, 0.16, 0.113].     Option C: The portfolio contains the following stocks: BRBR, RWX, LUMN, ELS, SG, HEDJ, JAVA weighted by : [0.028, 0.155, 0.126, 0.064, 0.192, 0.285, 0.15]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ETW, GORO, GUTS, MSFO, XLV, SPMD, ENTA weighted by : [0.225, 0.001, 0.254, 0.067, 0.134, 0.062, 0.257]. ', 'Option B: The portfolio contains the following stocks: MODG, BROS, ACDC, STLD, SHAK, WSR, MMM weighted by : [0.111, 0.147, 0.21, 0.21, 0.048, 0.16, 0.113]. ', 'Option C: The portfolio contains the following stocks: BRBR, RWX, LUMN, ELS, SG, HEDJ, JAVA weighted by : [0.028, 0.155, 0.126, 0.064, 0.192, 0.285, 0.15]. ']",B,"Option A: The historical stock value data of ETW for the past 14 hours is: [8.27, 8.21, 8.22, 8.23, 8.25, 8.22, 8.23, 8.2, 8.17, 8.15, 8.15, 8.12, 8.14, 8.12]. The historical stock value data of GORO for the past 14 hours is: [0.35, 0.35, 0.35, 0.35, 0.35, 0.35, 0.35, 0.34, 0.34, 0.34, 0.34, 0.34, 0.34, 0.33]. The historical stock value data of GUTS for the past 14 hours is: [3.46, 3.3, 3.37, 3.29, 3.33, 3.31, 3.28, 3.33, 3.18, 3.1, 3.12, 3.09, 3.21, 3.13]. The historical stock value data of MSFO for the past 14 hours is: [19.74, 19.61, 19.6, 19.6, 19.66, 19.64, 19.68, 19.18, 19.0, 18.99, 19.06, 18.93, 19.0, 18.95]. The historical stock value data of XLV for the past 14 hours is: [154.84, 153.9, 154.16, 154.3, 154.78, 154.31, 154.49, 154.06, 154.05, 153.74, 153.84, 153.97, 154.26, 153.99]. The historical stock value data of SPMD for the past 14 hours is: [52.58, 52.22, 52.34, 52.29, 52.44, 52.4, 52.36, 51.97, 51.67, 51.57, 51.76, 51.61, 51.76, 51.64]. The historical stock value data of ENTA for the past 14 hours is: [11.88, 11.96, 11.81, 11.75, 11.78, 11.79, 11.85, 11.87, 11.72, 11.53, 11.68, 11.58, 11.66, 11.51]. 
Option B: The historical stock value data of MODG for the past 14 hours is: [10.65, 10.61, 10.62, 10.39, 10.48, 10.53, 10.6, 10.29, 10.36, 10.25, 10.35, 10.28, 10.23, 10.21]. The historical stock value data of BROS for the past 14 hours is: [31.89, 31.67, 31.78, 31.71, 31.85, 31.88, 31.8, 31.93, 31.6, 31.65, 31.71, 31.67, 31.93, 31.83]. The historical stock value data of ACDC for the past 14 hours is: [6.18, 6.12, 6.12, 6.11, 6.18, 6.2, 6.26, 6.18, 6.14, 6.18, 6.26, 6.26, 6.32, 6.45]. The historical stock value data of STLD for the past 14 hours is: [112.48, 111.81, 111.72, 111.04, 111.76, 111.8, 111.31, 110.73, 110.36, 110.33, 111.72, 111.0, 111.01, 110.97]. The historical stock value data of SHAK for the past 14 hours is: [98.24, 98.0, 98.25, 97.22, 96.93, 96.28, 96.14, 94.45, 94.42, 93.85, 94.08, 93.14, 93.05, 93.4]. The historical stock value data of WSR for the past 14 hours is: [13.11, 13.02, 13.03, 13.05, 13.05, 13.06, 13.1, 13.0, 13.04, 13.06, 13.09, 13.05, 13.1, 13.09]. The historical stock value data of MMM for the past 14 hours is: [131.63, 130.74, 131.3, 131.3, 131.55, 131.26, 131.4, 130.83, 130.07, 129.38, 129.35, 128.49, 128.94, 128.61]. 
Option C: The historical stock value data of BRBR for the past 14 hours is: [56.52, 56.24, 56.79, 56.65, 56.62, 56.68, 56.84, 57.28, 57.2, 57.42, 57.38, 57.27, 57.19, 56.42]. The historical stock value data of RWX for the past 14 hours is: [27.47, 27.38, 27.36, 27.37, 27.48, 27.46, 27.42, 27.4, 27.33, 27.23, 27.25, 27.24, 27.31, 27.34]. The historical stock value data of LUMN for the past 14 hours is: [5.56, 5.38, 5.53, 5.55, 5.5, 5.45, 5.49, 5.47, 5.65, 5.74, 5.78, 5.76, 5.86, 5.85]. The historical stock value data of ELS for the past 14 hours is: [73.27, 72.9, 72.77, 72.54, 72.78, 72.63, 72.33, 72.55, 73.02, 72.98, 73.05, 73.2, 74.08, 73.89]. The historical stock value data of SG for the past 14 hours is: [29.54, 29.98, 29.94, 28.35, 28.2, 28.87, 28.46, 28.64, 27.61, 27.59, 27.61, 27.76, 28.1, 27.87]. The historical stock value data of HEDJ for the past 14 hours is: [43.91, 43.82, 43.62, 43.62, 43.7, 43.62, 43.56, 43.42, 42.89, 42.87, 43.0, 42.86, 42.79, 42.67]. The historical stock value data of JAVA for the past 14 hours is: [62.31, 61.95, 61.91, 61.92, 62.1, 62.01, 62.03, 61.76, 61.49, 61.29, 61.44, 61.29, 61.4, 61.33]. ",external_data_mc/answer_info/answer_info_62.pkl,external_data_mc/executor_variables/executor_variables_62.pkl
63,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 28 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: FNDF, EVC, ERY weighted by : [0.4, 0.408, 0.191].     Option B: The portfolio contains the following stocks: SCO, GNW, SCHM weighted by : [0.367, 0.089, 0.544].     Option C: The portfolio contains the following stocks: RKT, CHDN, AFRM weighted by : [0.388, 0.268, 0.345]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: FNDF, EVC, ERY weighted by : [0.4, 0.408, 0.191]. ', 'Option B: The portfolio contains the following stocks: SCO, GNW, SCHM weighted by : [0.367, 0.089, 0.544]. ', 'Option C: The portfolio contains the following stocks: RKT, CHDN, AFRM weighted by : [0.388, 0.268, 0.345]. ']",A,"Option A: The historical stock value data of FNDF for the past 98 days is: [30.65, 30.18, 29.77, 29.64, 29.93, 30.23, 30.28, 30.7, 30.8, 30.54, 30.31, 30.58, 30.6, 30.15, 29.91, 29.59, 29.6, 29.68, 29.53, 29.32, 29.26, 29.61, 29.67, 29.99, 30.6, 30.92, 30.82, 30.52, 30.31, 30.33, 30.51, 30.64, 31.41, 31.34, 31.26, 31.7, 31.8, 31.63, 31.66, 31.93, 31.84, 31.91, 31.94, 31.91, 32.26, 31.92, 31.8, 31.91, 32.1, 32.14, 32.22, 32.19, 32.64, 32.85, 32.47, 32.59, 32.87, 32.57, 33.09, 33.18, 33.32, 33.47, 33.43, 33.43, 33.17, 32.91, 33.04, 33.13, 33.41, 33.02, 33.15, 33.12, 33.2, 32.65, 32.3, 32.54, 32.61, 32.71, 32.65, 32.8, 32.88, 32.96, 33.17, 33.16, 32.98, 33.33, 33.13, 32.85, 33.05, 33.05, 32.97, 32.98, 33.16, 32.66, 32.93, 33.31, 33.36, 33.53]. The historical stock value data of EVC for the past 98 days is: [3.32, 3.24, 3.16, 3.24, 3.26, 3.35, 3.42, 3.46, 3.44, 3.44, 3.41, 3.47, 3.57, 3.4, 3.34, 3.34, 3.27, 3.19, 3.19, 3.21, 3.09, 3.26, 3.26, 3.33, 3.47, 3.74, 3.65, 3.55, 3.61, 3.4, 3.6, 3.51, 3.64, 3.68, 3.66, 3.71, 3.76, 3.75, 3.76, 3.79, 3.85, 3.86, 3.81, 3.61, 3.76, 3.95, 3.73, 3.8, 3.87, 3.9, 3.86, 3.72, 3.86, 4.02, 3.86, 3.85, 3.94, 3.88, 3.98, 3.91, 3.94, 3.93, 3.94, 3.84, 3.72, 3.62, 3.68, 3.68, 3.7, 3.66, 3.68, 3.71, 3.79, 3.66, 3.6, 3.57, 3.68, 3.79, 3.85, 3.88, 4.03, 3.87, 4.0, 3.83, 3.71, 3.73, 3.59, 3.51, 3.69, 3.52, 3.6, 3.68, 3.74, 3.5, 3.68, 3.79, 3.68, 3.63]. The historical stock value data of ERY for the past 98 days is: [23.59, 24.5, 24.53, 26.21, 26.46, 26.19, 24.43, 24.38, 24.97, 24.98, 23.92, 23.59, 23.1, 22.63, 22.77, 23.6, 24.33, 25.06, 25.14, 25.57, 26.78, 26.62, 26.45, 26.6, 25.03, 25.55, 26.1, 27.31, 28.01, 28.18, 27.61, 27.17, 26.72, 26.86, 27.91, 26.78, 26.7, 26.84, 26.91, 26.68, 26.89, 26.88, 27.32, 26.97, 26.73, 26.94, 27.89, 28.82, 29.17, 28.57, 28.49, 29.31, 28.53, 26.85, 27.2, 26.71, 26.09, 26.59, 26.38, 26.27, 25.83, 26.07, 26.89, 27.08, 26.44, 25.63, 26.51, 26.51, 27.13, 28.02, 28.61, 28.52, 27.84, 29.16, 29.65, 29.82, 29.62, 29.45, 29.31, 28.47, 27.2, 26.84, 26.95, 26.4, 27.39, 27.43, 27.37, 27.5, 27.31, 27.21, 26.7, 27.54, 26.93, 27.47, 27.56, 26.08, 26.13, 26.56]. 
Option B: The historical stock value data of SCO for the past 98 days is: [16.82, 17.17, 17.03, 18.78, 19.37, 19.43, 18.06, 18.08, 18.21, 18.34, 16.88, 17.03, 16.92, 16.5, 16.03, 16.39, 16.89, 17.49, 16.83, 17.35, 16.88, 17.68, 17.95, 18.11, 17.43, 17.96, 17.76, 19.12, 19.91, 19.79, 19.05, 18.5, 18.63, 19.09, 20.65, 19.19, 18.42, 18.31, 18.78, 19.09, 19.44, 18.9, 18.35, 19.52, 19.81, 19.96, 20.58, 22.0, 21.84, 21.07, 20.78, 22.19, 21.45, 20.34, 20.36, 19.83, 19.18, 19.57, 19.61, 19.86, 19.07, 19.59, 20.56, 20.89, 21.34, 20.03, 20.53, 19.77, 21.03, 20.55, 20.94, 20.35, 20.08, 20.59, 20.3, 19.85, 19.96, 19.4, 19.43, 18.99, 18.22, 17.81, 18.23, 17.93, 18.8, 19.64, 20.42, 19.96, 19.74, 19.38, 18.49, 18.3, 18.19, 18.08, 18.52, 18.03, 17.83, 18.24]. The historical stock value data of GNW for the past 98 days is: [5.86, 5.94, 5.7, 5.88, 5.9, 5.8, 5.85, 5.78, 6.02, 6.14, 6.01, 6.14, 6.13, 6.08, 5.84, 5.79, 5.78, 5.89, 5.93, 5.96, 5.81, 5.93, 5.99, 6.04, 6.09, 6.2, 6.15, 6.09, 6.0, 5.51, 5.5, 5.61, 5.87, 5.83, 5.77, 5.78, 5.88, 5.79, 5.9, 5.89, 5.92, 5.82, 5.72, 5.89, 6.03, 6.2, 6.14, 6.02, 6.11, 6.25, 6.29, 6.38, 6.36, 6.39, 6.29, 6.46, 6.62, 6.64, 6.82, 6.81, 6.85, 6.85, 6.78, 6.68, 6.67, 6.66, 6.64, 6.72, 6.77, 6.46, 6.44, 6.27, 6.22, 5.97, 6.03, 6.08, 6.17, 6.37, 6.24, 6.31, 6.31, 6.36, 6.26, 6.32, 6.17, 6.15, 6.07, 6.09, 6.16, 6.09, 6.09, 6.2, 6.25, 6.02, 6.17, 6.28, 6.13, 6.11]. The historical stock value data of SCHM for the past 98 days is: [66.91, 66.09, 64.98, 65.36, 65.28, 65.9, 66.4, 67.0, 67.3, 65.95, 65.61, 66.62, 67.33, 65.81, 64.89, 64.02, 63.47, 63.94, 62.88, 63.03, 62.29, 62.73, 63.29, 63.58, 64.79, 66.05, 65.48, 65.39, 65.14, 64.4, 65.06, 65.0, 67.42, 67.68, 67.06, 67.62, 67.94, 67.6, 68.04, 68.33, 68.27, 68.02, 68.42, 68.89, 70.57, 70.9, 70.03, 69.92, 70.21, 70.55, 70.98, 70.94, 72.75, 74.32, 73.67, 73.73, 74.69, 73.31, 74.4, 74.79, 75.34, 75.35, 75.45, 74.83, 74.4, 72.81, 72.72, 72.99, 74.0, 73.6, 73.68, 73.57, 73.45, 72.97, 72.41, 72.93, 73.55, 74.39, 74.18, 73.74, 74.31, 74.47, 75.22, 75.0, 73.59, 74.43, 74.5, 73.67, 74.06, 74.41, 74.94, 75.39, 75.9, 74.2, 75.36, 76.4, 76.02, 75.47]. 
Option C: The historical stock value data of RKT for the past 98 days is: [8.18, 7.99, 7.48, 7.62, 7.84, 7.94, 8.13, 8.1, 8.19, 7.82, 7.75, 7.86, 7.86, 7.5, 7.43, 7.31, 7.36, 7.34, 7.21, 7.3, 7.3, 7.31, 7.39, 7.52, 8.1, 8.63, 8.15, 8.16, 8.41, 7.86, 8.33, 7.99, 9.22, 9.03, 8.93, 9.01, 8.99, 8.95, 8.93, 9.03, 9.15, 9.33, 9.54, 9.34, 9.87, 9.84, 9.75, 10.27, 10.35, 10.51, 10.58, 10.8, 11.81, 13.38, 13.74, 14.0, 14.42, 14.3, 14.9, 14.73, 14.91, 15.04, 15.01, 14.48, 14.28, 13.34, 12.67, 12.63, 12.97, 12.82, 12.69, 12.46, 12.28, 11.97, 11.48, 11.58, 12.22, 12.49, 12.36, 12.0, 12.13, 12.24, 12.8, 12.67, 12.31, 12.68, 12.51, 11.54, 11.67, 11.5, 11.48, 11.55, 12.1, 11.24, 11.46, 11.7, 11.37, 11.15]. The historical stock value data of CHDN for the past 98 days is: [115.66, 114.35, 113.02, 112.61, 111.24, 111.51, 110.47, 112.43, 113.31, 109.48, 109.65, 112.32, 113.4, 111.55, 111.83, 110.51, 110.49, 111.08, 108.07, 107.7, 108.14, 108.62, 109.48, 108.55, 114.05, 118.28, 118.45, 117.54, 116.36, 116.06, 118.55, 117.88, 122.17, 121.36, 119.58, 120.35, 121.01, 119.73, 119.95, 120.32, 118.59, 117.6, 115.04, 115.77, 117.83, 119.58, 115.56, 115.0, 116.7, 119.89, 123.49, 124.91, 128.7, 130.14, 128.95, 129.97, 134.35, 130.47, 132.86, 134.35, 134.7, 135.57, 135.6, 134.93, 133.89, 129.34, 128.27, 127.13, 127.85, 125.13, 124.0, 124.2, 124.07, 122.41, 123.91, 124.94, 125.16, 124.51, 124.1, 121.61, 122.31, 121.14, 123.0, 122.82, 120.97, 122.3, 121.86, 118.87, 120.83, 121.98, 123.0, 123.75, 122.41, 119.12, 120.72, 119.96, 118.98, 116.25]. The historical stock value data of AFRM for the past 98 days is: [21.27, 20.45, 18.28, 17.9, 17.51, 17.94, 18.79, 19.7, 20.13, 18.6, 18.0, 18.88, 19.97, 18.8, 18.29, 18.25, 18.5, 19.56, 16.64, 17.42, 16.93, 17.1, 17.61, 17.61, 21.04, 22.43, 21.71, 22.09, 21.76, 24.86, 22.43, 22.88, 25.56, 25.98, 24.54, 24.79, 25.46, 25.03, 25.57, 26.23, 29.37, 32.75, 34.12, 34.41, 37.67, 38.56, 38.19, 38.38, 39.41, 42.07, 39.92, 39.52, 44.4, 44.84, 43.97, 43.7, 50.46, 45.51, 47.94, 49.06, 50.04, 51.24, 51.39, 49.14, 46.6, 43.49, 42.5, 43.01, 45.34, 44.07, 43.56, 42.81, 41.79, 40.98, 41.01, 40.14, 42.17, 44.35, 41.88, 40.49, 40.71, 41.34, 43.77, 42.73, 40.51, 39.67, 41.01, 41.55, 43.43, 44.61, 49.22, 43.86, 45.0, 39.75, 40.99, 41.56, 38.14, 37.99]. ",external_data_mc/answer_info/answer_info_63.pkl,external_data_mc/executor_variables/executor_variables_63.pkl
64,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 13 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: EBS, VMAR, ZIONL, DIG weighted by : [0.346, 0.473, 0.115, 0.065].     Option B: The portfolio contains the following stocks: VCEB, ORMP, NTSX, HFFG weighted by : [0.148, 0.219, 0.223, 0.41].     Option C: The portfolio contains the following stocks: VBTX, ELUT, GLDI, SQ weighted by : [0.042, 0.272, 0.323, 0.363]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: EBS, VMAR, ZIONL, DIG weighted by : [0.346, 0.473, 0.115, 0.065]. ', 'Option B: The portfolio contains the following stocks: VCEB, ORMP, NTSX, HFFG weighted by : [0.148, 0.219, 0.223, 0.41]. ', 'Option C: The portfolio contains the following stocks: VBTX, ELUT, GLDI, SQ weighted by : [0.042, 0.272, 0.323, 0.363]. ']",A,"Option A: The historical stock value data of EBS for the past 96 days is: [1.96, 2.12, 2.42, 2.35, 2.36, 2.21, 2.15, 2.0, 1.82, 2.15, 2.21, 2.12, 2.05, 2.1, 2.09, 2.09, 2.09, 2.07, 2.01, 2.15, 2.14, 2.39, 2.57, 2.4, 2.53, 2.42, 2.49, 2.12, 2.09, 2.29, 2.53, 2.38, 2.34, 2.44, 2.23, 2.29, 2.48, 2.41, 2.4, 2.47, 2.4, 2.59, 2.36, 2.36, 2.2, 2.16, 2.08, 2.17, 2.1, 2.05, 2.03, 1.92, 1.84, 1.83, 1.97, 1.97, 1.88, 1.86, 1.82, 1.83, 1.73, 1.67, 1.65, 1.62, 1.53, 1.56, 1.5, 1.68, 1.58, 1.8, 1.59, 1.69, 1.7, 1.56, 1.52, 2.71, 2.8, 2.74, 2.85, 3.3, 3.2, 3.23, 3.39, 3.17, 3.41, 3.26, 2.77, 2.69, 2.8, 2.33, 2.24, 2.35, 2.45, 2.47, 2.46, 2.51]. The historical stock value data of VMAR for the past 96 days is: [28.8, 29.85, 32.7, 31.8, 29.55, 29.85, 28.5, 28.5, 30.15, 28.8, 28.35, 27.6, 28.2, 27.75, 27.0, 28.05, 27.75, 27.15, 25.8, 21.9, 19.8, 19.5, 15.9, 16.8, 21.75, 23.1, 21.3, 19.2, 18.75, 20.55, 18.0, 17.7, 17.55, 17.55, 17.33, 16.8, 17.25, 16.8, 16.95, 16.8, 16.35, 15.9, 15.15, 14.48, 14.25, 12.9, 12.39, 11.94, 11.85, 12.07, 11.98, 11.82, 12.05, 11.27, 11.52, 11.52, 11.97, 11.94, 11.41, 11.3, 11.32, 11.52, 11.31, 11.62, 11.6, 11.93, 11.94, 11.77, 11.9, 12.73, 12.35, 13.5, 12.75, 12.35, 12.6, 12.3, 12.3, 11.82, 12.19, 11.7, 12.0, 11.85, 11.7, 11.56, 11.4, 11.55, 11.39, 11.28, 10.95, 10.35, 9.6, 9.6, 9.73, 8.93, 8.85, 8.85]. The historical stock value data of ZIONL for the past 96 days is: [22.89, 22.89, 23.02, 23.08, 23.13, 23.13, 23.16, 23.03, 23.21, 23.21, 23.69, 23.34, 23.22, 23.27, 23.3, 23.42, 23.5, 23.53, 23.47, 23.48, 23.47, 23.57, 23.5, 23.56, 23.58, 23.65, 23.6, 23.51, 23.53, 23.55, 23.68, 23.66, 23.74, 23.7, 23.69, 23.74, 23.69, 23.69, 23.69, 23.76, 23.69, 23.58, 23.97, 23.69, 23.83, 23.63, 23.63, 23.76, 23.65, 23.67, 23.87, 23.74, 23.66, 23.74, 24.01, 24.01, 24.03, 24.03, 24.12, 24.17, 24.11, 24.07, 23.88, 23.92, 23.9, 23.87, 23.67, 23.72, 23.76, 23.74, 23.98, 23.81, 23.84, 23.86, 23.82, 23.85, 24.01, 24.07, 23.98, 23.89, 23.91, 24.08, 24.08, 24.17, 24.09, 24.03, 24.12, 24.06, 24.22, 24.19, 24.27, 24.18, 24.15, 24.26, 24.15, 24.27]. The historical stock value data of DIG for the past 96 days is: [37.22, 39.4, 38.71, 37.8, 36.14, 35.19, 34.99, 35.71, 36.23, 36.84, 36.7, 35.3, 36.75, 36.85, 36.63, 36.61, 36.92, 36.68, 36.65, 36.07, 36.5, 36.88, 36.59, 35.29, 34.14, 33.75, 34.47, 34.56, 33.62, 34.47, 36.45, 36.05, 36.67, 37.52, 36.88, 37.08, 37.34, 38.01, 37.64, 36.45, 36.28, 37.14, 38.25, 36.96, 36.93, 36.12, 34.87, 34.23, 34.32, 35.15, 33.44, 32.88, 32.75, 32.94, 33.18, 33.33, 34.31, 35.81, 36.35, 36.17, 36.93, 35.56, 35.48, 35.62, 35.44, 35.63, 35.81, 36.53, 35.39, 36.12, 35.48, 35.34, 37.21, 37.21, 36.55, 37.85, 37.91, 37.51, 37.72, 37.41, 37.25, 37.51, 38.4, 37.61, 38.16, 38.38, 39.01, 39.27, 40.11, 39.98, 41.18, 42.08, 42.25, 42.58, 43.51, 43.47]. 
Option B: The historical stock value data of VCEB for the past 96 days is: [56.56, 57.05, 57.3, 57.04, 57.41, 57.59, 57.17, 57.39, 57.37, 58.11, 57.85, 58.27, 58.38, 58.56, 58.58, 58.8, 58.53, 58.85, 59.09, 59.44, 59.22, 59.79, 59.62, 59.98, 60.05, 60.11, 59.78, 59.83, 60.05, 60.92, 61.48, 61.4, 61.15, 61.23, 61.38, 61.42, 61.31, 61.4, 61.85, 61.73, 61.55, 61.2, 61.13, 60.89, 60.74, 61.02, 61.11, 61.07, 61.41, 61.51, 61.08, 60.92, 60.9, 60.88, 61.06, 60.92, 60.84, 61.09, 61.03, 61.18, 61.36, 61.44, 61.87, 61.45, 60.99, 61.24, 61.05, 60.79, 60.78, 60.77, 60.3, 60.53, 60.67, 60.52, 60.68, 60.59, 60.65, 60.75, 60.56, 60.53, 60.52, 60.58, 60.9, 60.79, 61.06, 61.21, 61.29, 61.34, 61.39, 61.27, 61.2, 60.87, 60.92, 60.8, 60.93, 61.0]. The historical stock value data of ORMP for the past 96 days is: [1.71, 1.8, 1.79, 1.95, 2.08, 2.07, 1.95, 1.92, 1.99, 2.05, 2.06, 2.04, 2.05, 2.16, 2.14, 2.13, 2.17, 2.2, 2.17, 2.2, 2.22, 2.13, 2.14, 2.12, 2.2, 2.25, 2.24, 2.15, 2.16, 2.28, 2.36, 2.2, 2.18, 2.25, 2.19, 2.34, 2.38, 2.16, 2.22, 2.34, 2.31, 2.45, 2.37, 2.39, 2.47, 2.42, 2.42, 2.29, 2.32, 2.34, 2.28, 2.18, 2.19, 2.23, 2.21, 2.29, 2.27, 2.27, 2.32, 2.58, 2.98, 3.0, 2.83, 2.75, 2.62, 2.83, 2.84, 2.69, 2.85, 3.17, 3.03, 3.13, 3.14, 3.14, 3.15, 3.21, 3.3, 3.46, 3.55, 3.58, 3.41, 3.29, 3.42, 3.25, 3.26, 2.87, 2.86, 2.98, 2.94, 2.86, 2.77, 2.68, 2.92, 2.81, 2.83, 2.96]. The historical stock value data of NTSX for the past 96 days is: [33.99, 34.74, 35.2, 35.24, 35.39, 35.49, 35.05, 35.59, 35.46, 36.39, 36.36, 36.44, 36.53, 36.8, 36.69, 36.88, 36.84, 36.84, 36.92, 37.05, 37.09, 37.43, 37.18, 37.33, 37.31, 37.46, 37.52, 37.66, 37.83, 38.51, 38.9, 38.79, 38.97, 39.2, 38.66, 39.03, 39.09, 39.33, 39.41, 39.52, 39.09, 38.79, 38.76, 38.56, 38.49, 39.06, 38.98, 39.18, 39.26, 39.34, 39.07, 38.77, 38.98, 39.47, 39.61, 39.64, 39.68, 39.79, 39.83, 40.23, 40.23, 39.77, 40.35, 40.54, 40.11, 40.35, 40.72, 40.62, 40.79, 40.78, 40.14, 40.56, 40.79, 40.56, 40.29, 40.37, 41.11, 41.09, 40.93, 40.98, 40.94, 41.28, 41.67, 41.6, 41.28, 41.67, 41.99, 41.74, 41.59, 41.87, 41.81, 41.58, 41.24, 41.5, 41.78, 42.13]. The historical stock value data of HFFG for the past 96 days is: [3.9, 4.17, 4.19, 3.91, 4.45, 4.43, 4.28, 4.36, 4.79, 5.0, 4.66, 4.59, 4.71, 4.58, 4.61, 4.5, 4.73, 4.67, 4.61, 4.78, 4.74, 4.87, 4.92, 4.93, 4.85, 4.92, 4.92, 5.03, 5.07, 5.38, 5.38, 5.47, 5.27, 5.36, 5.36, 5.41, 5.46, 5.5, 5.46, 5.45, 5.34, 5.48, 5.4, 5.48, 5.36, 5.41, 5.38, 5.46, 5.48, 5.46, 5.36, 5.3, 5.14, 5.2, 5.47, 5.66, 5.81, 5.7, 5.54, 5.27, 5.2, 5.0, 4.97, 4.62, 4.59, 4.63, 4.35, 4.33, 4.61, 3.99, 3.85, 4.0, 3.9, 3.84, 4.13, 4.15, 3.99, 3.91, 3.85, 3.88, 3.8, 3.76, 3.76, 3.75, 3.7, 3.68, 3.68, 3.67, 3.41, 3.41, 3.4, 3.36, 3.35, 3.29, 3.25, 3.31]. 
Option C: The historical stock value data of VBTX for the past 96 days is: [16.65, 17.9, 18.96, 18.52, 18.13, 17.71, 17.29, 17.32, 17.32, 18.93, 19.25, 18.78, 19.0, 18.93, 18.37, 18.69, 18.67, 18.48, 18.48, 18.61, 18.6, 20.08, 20.51, 20.13, 20.21, 20.82, 20.86, 20.7, 20.36, 21.99, 22.56, 22.66, 22.56, 22.61, 22.17, 22.79, 23.08, 23.5, 23.4, 23.33, 22.61, 22.72, 22.07, 22.15, 21.93, 22.3, 21.76, 21.82, 21.72, 21.45, 20.89, 20.6, 20.68, 21.13, 22.21, 21.85, 21.28, 20.68, 21.27, 21.7, 21.63, 20.41, 19.82, 19.59, 19.36, 19.41, 19.37, 19.41, 19.83, 20.25, 19.67, 19.8, 20.6, 20.14, 20.05, 19.9, 19.78, 19.84, 19.52, 19.42, 19.11, 19.26, 19.37, 19.25, 20.0, 20.08, 19.93, 20.14, 19.92, 18.97, 18.87, 17.95, 18.3, 18.31, 18.4, 19.14]. The historical stock value data of ELUT for the past 96 days is: [1.32, 1.34, 1.37, 1.38, 1.45, 1.64, 1.47, 1.47, 1.46, 1.63, 1.64, 1.61, 1.6, 1.62, 1.63, 1.7, 1.85, 1.75, 1.82, 1.79, 1.83, 2.06, 2.32, 2.24, 2.27, 2.0, 2.0, 2.0, 1.99, 1.91, 1.98, 1.96, 1.94, 1.98, 1.95, 1.95, 2.04, 2.14, 2.22, 2.12, 2.16, 2.5, 2.81, 2.81, 3.4, 3.34, 3.17, 3.0, 3.23, 3.24, 3.37, 3.44, 3.53, 3.99, 3.97, 3.97, 4.07, 4.0, 4.0, 3.91, 3.74, 3.61, 3.68, 3.63, 3.58, 3.77, 3.75, 3.7, 3.77, 3.73, 3.89, 3.95, 3.83, 3.94, 3.37, 3.7, 3.36, 3.15, 3.29, 3.31, 3.43, 3.64, 3.52, 3.67, 3.6, 3.53, 3.59, 3.24, 3.21, 2.82, 2.99, 3.26, 3.3, 3.39, 3.39, 3.31]. The historical stock value data of GLDI for the past 96 days is: [128.42, 128.32, 128.75, 128.73, 128.41, 128.11, 128.4, 127.63, 128.17, 129.19, 128.92, 129.96, 130.15, 130.17, 130.87, 130.74, 131.14, 131.73, 133.06, 132.94, 132.85, 133.24, 132.39, 132.33, 132.43, 132.66, 131.85, 130.23, 130.66, 132.44, 133.22, 132.83, 132.99, 133.89, 133.45, 133.83, 134.2, 134.8, 135.59, 135.07, 134.92, 134.92, 134.14, 134.33, 134.65, 133.55, 133.69, 133.32, 133.45, 134.51, 133.66, 132.45, 133.56, 133.76, 133.76, 133.89, 133.33, 133.51, 133.79, 134.18, 134.44, 134.67, 135.78, 134.38, 133.77, 134.34, 134.95, 134.72, 134.39, 133.87, 132.55, 132.03, 132.77, 133.51, 133.94, 134.48, 134.39, 134.86, 134.77, 135.0, 134.81, 135.81, 137.36, 138.38, 138.76, 138.47, 138.8, 139.8, 139.37, 139.12, 139.97, 139.63, 138.83, 139.44, 138.84, 140.56]. The historical stock value data of SQ for the past 96 days is: [40.96, 43.98, 48.68, 49.52, 51.05, 52.27, 51.05, 51.5, 52.02, 55.1, 56.3, 56.28, 58.19, 59.27, 58.67, 59.02, 59.65, 60.31, 63.34, 63.73, 63.43, 65.04, 65.0, 64.89, 68.0, 68.47, 69.17, 68.56, 69.57, 70.06, 74.76, 74.21, 73.88, 77.31, 76.11, 76.9, 77.14, 78.18, 79.6, 79.51, 77.35, 72.22, 68.63, 68.15, 66.96, 69.31, 69.53, 67.9, 67.87, 66.48, 65.16, 63.9, 64.47, 65.85, 66.69, 66.2, 62.57, 62.71, 64.97, 68.98, 68.22, 65.01, 66.67, 67.88, 65.85, 67.0, 68.31, 68.83, 66.88, 68.84, 64.98, 67.41, 69.48, 65.64, 65.73, 64.47, 67.96, 78.92, 74.66, 77.71, 78.42, 79.47, 79.25, 77.0, 74.43, 75.53, 77.22, 80.74, 81.53, 81.71, 85.72, 81.24, 80.17, 80.86, 79.32, 81.46]. ",external_data_mc/answer_info/answer_info_64.pkl,external_data_mc/executor_variables/executor_variables_64.pkl
65,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 6 stocks' price data for 24 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: SGDM, GALT, FEBW, ADCT, FF, HYTR weighted by : [0.198, 0.082, 0.011, 0.115, 0.34, 0.255].     Option B: The portfolio contains the following stocks: AMCX, IMTX, HRMY, PIN, DXPE, IRON weighted by : [0.27, 0.071, 0.089, 0.076, 0.262, 0.231].     Option C: The portfolio contains the following stocks: BSX, DFSV, ONEO, FICO, NBHC, OCTO weighted by : [0.054, 0.084, 0.319, 0.023, 0.204, 0.316]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SGDM, GALT, FEBW, ADCT, FF, HYTR weighted by : [0.198, 0.082, 0.011, 0.115, 0.34, 0.255]. ', 'Option B: The portfolio contains the following stocks: AMCX, IMTX, HRMY, PIN, DXPE, IRON weighted by : [0.27, 0.071, 0.089, 0.076, 0.262, 0.231]. ', 'Option C: The portfolio contains the following stocks: BSX, DFSV, ONEO, FICO, NBHC, OCTO weighted by : [0.054, 0.084, 0.319, 0.023, 0.204, 0.316]. ']",A,"Option A: The historical stock value data of SGDM for the past 48 days is: [23.12, 22.49, 22.52, 22.55, 21.73, 21.78, 21.55, 21.88, 22.3, 22.85, 22.88, 23.3, 22.65, 23.76, 23.87, 24.29, 24.32, 24.46, 24.54, 24.27, 24.21, 23.87, 23.52, 24.04, 23.57, 23.0, 22.95, 23.19, 24.22, 23.98, 23.46, 22.75, 22.62, 22.32, 22.12, 23.06, 22.87, 23.26, 23.06, 22.88, 23.47, 23.46, 23.59, 24.13, 25.13, 25.16, 25.28, 25.73]. The historical stock value data of GALT for the past 48 days is: [1.81, 1.81, 1.9, 1.92, 1.92, 1.94, 2.04, 2.15, 2.15, 2.1, 2.18, 2.06, 2.05, 2.01, 2.09, 2.1, 2.11, 2.09, 2.04, 2.0, 2.07, 2.06, 2.08, 1.99, 2.02, 2.04, 2.01, 2.02, 2.01, 2.03, 2.02, 2.09, 2.03, 2.1, 1.95, 1.81, 1.87, 1.89, 1.96, 1.87, 1.95, 2.03, 2.12, 1.99, 2.0, 1.96, 1.95, 2.0]. The historical stock value data of FEBW for the past 48 days is: [26.09, 26.1, 26.19, 26.13, 26.13, 25.94, 26.09, 26.04, 26.27, 26.31, 26.42, 26.45, 26.36, 26.31, 26.49, 26.45, 26.28, 26.17, 25.97, 25.94, 26.03, 25.81, 25.62, 25.53, 25.72, 25.85, 25.99, 26.29, 26.49, 26.5, 26.55, 26.58, 26.42, 26.72, 26.69, 27.01, 27.03, 27.06, 27.08, 27.22, 27.19, 27.25, 27.27, 27.26, 27.27, 27.28, 27.3, 27.4]. The historical stock value data of ADCT for the past 48 days is: [0.91, 0.88, 0.83, 0.9, 0.82, 0.82, 0.82, 0.86, 0.84, 0.83, 0.85, 0.81, 0.84, 0.8, 0.79, 0.77, 0.73, 0.78, 0.83, 0.7, 0.71, 0.65, 0.65, 0.7, 0.7, 0.7, 0.67, 0.7, 0.8, 0.86, 0.73, 0.6, 0.47, 0.47, 0.5, 0.55, 0.58, 0.64, 0.7, 0.71, 0.72, 0.71, 0.74, 0.72, 0.73, 0.77, 0.83, 1.11]. The historical stock value data of FF for the past 48 days is: [4.7, 4.87, 4.78, 4.77, 4.63, 4.64, 4.61, 4.65, 4.66, 4.58, 4.64, 4.63, 4.58, 4.53, 4.52, 4.58, 4.54, 4.43, 4.37, 4.34, 4.4, 4.33, 4.44, 4.38, 4.45, 4.36, 4.37, 4.44, 4.48, 4.46, 4.39, 4.25, 4.18, 3.86, 3.95, 4.08, 4.11, 4.02, 4.11, 4.12, 4.09, 4.08, 4.06, 4.11, 4.02, 3.98, 3.99, 4.14]. The historical stock value data of HYTR for the past 48 days is: [19.65, 19.62, 19.7, 19.69, 19.57, 19.41, 19.49, 19.52, 19.49, 19.62, 19.61, 19.61, 19.52, 19.51, 19.5, 19.37, 19.31, 19.3, 19.37, 19.4, 19.4, 19.33, 19.42, 19.43, 19.4, 19.38, 19.55, 19.62, 19.77, 19.69, 19.7, 19.69, 19.58, 19.66, 19.64, 19.85, 19.78, 19.8, 19.84, 19.89, 19.88, 19.93, 19.91, 19.94, 20.03, 20.12, 20.08, 20.24]. 
Option B: The historical stock value data of AMCX for the past 48 days is: [10.77, 11.11, 11.3, 11.78, 11.42, 11.3, 11.35, 11.17, 11.73, 12.36, 12.33, 12.15, 11.76, 11.57, 12.72, 13.01, 12.8, 12.79, 12.23, 11.7, 11.98, 11.54, 11.46, 11.16, 11.56, 11.8, 12.07, 13.18, 15.0, 14.66, 14.07, 13.62, 13.47, 13.95, 13.34, 14.68, 14.69, 14.33, 15.61, 15.67, 15.79, 15.41, 15.31, 15.25, 15.26, 15.48, 15.24, 16.16]. The historical stock value data of IMTX for the past 48 days is: [11.16, 11.22, 11.01, 11.58, 10.79, 10.39, 9.66, 9.72, 9.98, 9.91, 9.85, 9.58, 9.25, 9.8, 9.87, 9.99, 9.21, 8.72, 8.72, 7.9, 8.03, 8.15, 7.8, 7.55, 7.36, 7.65, 7.8, 8.18, 9.61, 9.63, 9.95, 9.56, 9.06, 9.42, 9.56, 9.7, 8.93, 8.5, 8.68, 8.59, 8.03, 8.19, 8.43, 8.32, 8.4, 8.6, 8.84, 9.01]. The historical stock value data of HRMY for the past 48 days is: [34.0, 33.75, 34.36, 32.77, 32.44, 32.38, 31.78, 32.24, 32.41, 32.6, 32.53, 31.27, 30.26, 21.11, 23.9, 23.11, 22.52, 21.31, 20.13, 19.75, 19.64, 19.41, 19.57, 19.2, 19.71, 23.54, 24.52, 24.63, 25.92, 24.93, 24.35, 23.93, 23.31, 23.78, 24.23, 25.09, 25.2, 25.84, 26.97, 27.77, 27.47, 28.5, 29.03, 28.79, 29.09, 29.4, 29.06, 30.48]. The historical stock value data of PIN for the past 48 days is: [23.06, 23.24, 23.11, 23.09, 23.09, 22.88, 22.89, 23.09, 23.29, 23.06, 23.25, 23.37, 23.15, 23.18, 23.38, 23.36, 23.05, 23.15, 22.92, 22.71, 22.74, 22.47, 22.16, 22.26, 22.56, 22.47, 22.44, 22.78, 22.86, 22.84, 22.87, 22.91, 22.73, 23.03, 23.04, 23.34, 23.34, 23.33, 23.4, 23.35, 23.46, 23.52, 23.5, 23.44, 23.75, 23.86, 23.99, 24.17]. The historical stock value data of DXPE for the past 48 days is: [34.06, 35.02, 35.79, 34.94, 34.78, 34.38, 34.67, 34.55, 34.39, 35.03, 35.02, 34.83, 33.65, 32.69, 33.56, 34.45, 33.41, 32.64, 32.5, 32.27, 32.06, 31.87, 32.09, 31.82, 32.35, 32.6, 32.69, 32.97, 34.11, 33.35, 33.65, 33.41, 31.23, 32.18, 31.15, 32.01, 30.52, 30.53, 30.99, 31.39, 31.2, 31.1, 31.73, 30.75, 29.19, 29.05, 29.28, 29.67]. The historical stock value data of IRON for the past 48 days is: [48.43, 48.46, 46.97, 46.98, 45.65, 44.68, 44.55, 45.19, 45.57, 48.66, 48.09, 47.85, 45.9, 46.88, 46.96, 47.62, 46.94, 43.92, 43.06, 42.17, 44.76, 43.25, 45.02, 43.45, 45.21, 45.81, 45.99, 45.9, 48.68, 47.49, 49.15, 47.75, 48.41, 48.57, 49.59, 51.61, 52.41, 48.36, 51.94, 51.11, 51.75, 52.0, 53.78, 53.37, 54.2, 54.22, 55.18, 55.77]. 
Option C: The historical stock value data of BSX for the past 48 days is: [52.83, 52.1, 53.37, 52.8, 52.81, 51.54, 51.55, 51.68, 52.12, 52.4, 53.8, 50.91, 48.64, 49.52, 50.1, 50.46, 50.71, 50.55, 50.05, 50.13, 50.96, 49.99, 49.78, 49.52, 50.05, 51.19, 51.66, 52.52, 52.53, 52.81, 52.17, 52.11, 51.43, 51.56, 53.71, 54.02, 53.85, 54.67, 54.34, 54.46, 55.32, 55.43, 55.63, 55.69, 54.93, 55.44, 55.89, 56.14]. The historical stock value data of DFSV for the past 48 days is: [24.72, 24.95, 25.19, 25.09, 24.66, 24.3, 24.26, 24.25, 24.41, 24.63, 24.85, 24.96, 24.49, 24.29, 24.7, 25.06, 24.55, 24.22, 23.9, 23.69, 23.73, 23.49, 23.66, 23.38, 23.57, 23.7, 23.84, 24.55, 25.18, 24.86, 24.63, 24.41, 24.08, 24.34, 24.3, 25.58, 25.74, 25.34, 25.71, 25.78, 25.5, 25.62, 25.77, 25.66, 25.57, 25.76, 25.84, 26.65]. The historical stock value data of ONEO for the past 48 days is: [92.11, 92.54, 93.54, 93.14, 92.32, 90.96, 91.62, 91.32, 92.28, 92.98, 93.78, 94.07, 92.71, 92.21, 93.48, 94.01, 92.36, 91.1, 90.06, 89.44, 89.97, 88.72, 88.65, 87.77, 88.36, 89.13, 89.76, 91.38, 92.98, 92.46, 92.36, 92.21, 91.53, 92.88, 92.81, 95.43, 95.7, 95.08, 95.71, 96.16, 95.89, 96.34, 96.6, 96.51, 96.06, 96.32, 97.06, 98.69]. The historical stock value data of FICO for the past 48 days is: [871.22, 885.61, 886.84, 868.53, 863.59, 836.54, 860.85, 862.53, 873.52, 889.39, 889.15, 904.68, 892.34, 895.34, 886.6, 918.29, 914.7, 919.26, 912.0, 927.19, 862.12, 825.1, 829.72, 848.1, 851.29, 845.87, 870.99, 900.69, 930.41, 927.76, 938.4, 940.43, 962.7, 996.7, 1012.27, 1027.15, 1020.96, 1034.06, 1042.27, 1051.45, 1054.9, 1065.17, 1069.54, 1081.96, 1073.31, 1075.1, 1087.6, 1127.71]. The historical stock value data of NBHC for the past 48 days is: [28.31, 28.24, 28.48, 28.86, 28.81, 28.53, 28.64, 29.5, 29.82, 29.86, 30.07, 30.11, 29.63, 28.94, 29.74, 29.96, 29.21, 28.85, 28.29, 28.14, 27.66, 28.97, 29.88, 29.75, 29.72, 30.24, 29.77, 30.77, 31.31, 31.01, 31.34, 30.92, 30.87, 30.85, 31.0, 33.0, 32.9, 32.46, 32.38, 32.19, 31.6, 31.85, 31.97, 31.82, 31.69, 32.14, 32.28, 33.72]. The historical stock value data of OCTO for the past 48 days is: [3.05, 2.9, 2.95, 2.82, 2.67, 2.65, 2.55, 2.42, 2.42, 2.35, 2.38, 2.26, 2.34, 3.1, 2.95, 2.49, 2.82, 2.56, 2.5, 2.63, 2.56, 2.24, 2.39, 2.34, 2.35, 2.43, 2.49, 2.65, 2.64, 2.75, 2.79, 2.85, 2.68, 2.6, 2.65, 2.53, 2.72, 2.7, 2.94, 2.9, 2.9, 3.08, 3.1, 3.23, 3.39, 3.6, 3.1, 3.05]. ",external_data_mc/answer_info/answer_info_65.pkl,external_data_mc/executor_variables/executor_variables_65.pkl
66,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 9 stocks' price data for 8 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: BBUC, BRBR, SCHQ, BHLB, FXI, MX, XLB, DLR, OPK weighted by : [0.138, 0.03, 0.217, 0.069, 0.018, 0.053, 0.191, 0.176, 0.108].     Option B: The portfolio contains the following stocks: UA, GAUG, RMAX, ATUS, SAR, JPST, MUSA, UMBF, TNC weighted by : [0.174, 0.103, 0.123, 0.128, 0.024, 0.141, 0.056, 0.166, 0.086].     Option C: The portfolio contains the following stocks: TSQ, QRVO, BRX, FCPT, FPF, RCL, NAK, MNST, TDIV weighted by : [0.072, 0.084, 0.038, 0.027, 0.085, 0.22, 0.213, 0.171, 0.09]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: BBUC, BRBR, SCHQ, BHLB, FXI, MX, XLB, DLR, OPK weighted by : [0.138, 0.03, 0.217, 0.069, 0.018, 0.053, 0.191, 0.176, 0.108]. ', 'Option B: The portfolio contains the following stocks: UA, GAUG, RMAX, ATUS, SAR, JPST, MUSA, UMBF, TNC weighted by : [0.174, 0.103, 0.123, 0.128, 0.024, 0.141, 0.056, 0.166, 0.086]. ', 'Option C: The portfolio contains the following stocks: TSQ, QRVO, BRX, FCPT, FPF, RCL, NAK, MNST, TDIV weighted by : [0.072, 0.084, 0.038, 0.027, 0.085, 0.22, 0.213, 0.171, 0.09]. ']",C,"Option A: The historical stock value data of BBUC for the past 12 hours is: [20.33, 20.67, 20.51, 20.64, 20.36, 20.7, 20.79, 20.64, 20.71, 20.61, 20.76, 20.86]. The historical stock value data of BRBR for the past 12 hours is: [57.42, 57.38, 57.27, 57.19, 56.42, 58.3, 58.47, 59.04, 58.8, 57.85, 57.79, 57.69]. The historical stock value data of SCHQ for the past 12 hours is: [35.47, 35.48, 35.4, 35.38, 35.39, 35.38, 35.44, 35.49, 35.56, 35.51, 35.53, 35.5]. The historical stock value data of BHLB for the past 12 hours is: [26.03, 26.11, 25.98, 26.09, 26.14, 26.23, 26.03, 26.19, 26.18, 26.11, 26.11, 25.96]. The historical stock value data of FXI for the past 12 hours is: [25.5, 25.56, 25.51, 25.52, 25.52, 25.42, 25.47, 25.52, 25.58, 25.55, 25.53, 25.53]. The historical stock value data of MX for the past 12 hours is: [4.43, 4.45, 4.45, 4.46, 4.46, 4.49, 4.53, 4.53, 4.49, 4.47, 4.47, 4.43]. The historical stock value data of XLB for the past 12 hours is: [89.86, 90.13, 89.93, 89.98, 89.88, 90.85, 90.79, 91.11, 91.1, 90.88, 90.87, 90.75]. The historical stock value data of DLR for the past 12 hours is: [147.88, 147.89, 147.35, 148.52, 148.26, 148.23, 147.92, 149.1, 149.31, 148.98, 149.19, 149.34]. The historical stock value data of OPK for the past 12 hours is: [1.55, 1.58, 1.56, 1.58, 1.57, 1.58, 1.57, 1.55, 1.58, 1.59, 1.59, 1.56]. 
Option B: The historical stock value data of UA for the past 12 hours is: [7.46, 7.49, 7.54, 7.57, 7.5, 7.39, 7.36, 7.4, 7.3, 7.22, 7.21, 7.18]. The historical stock value data of GAUG for the past 12 hours is: [33.63, 33.69, 33.62, 33.67, 33.65, 33.81, 33.74, 33.85, 33.88, 33.82, 33.81, 33.85]. The historical stock value data of RMAX for the past 12 hours is: [10.8, 10.91, 10.78, 10.69, 10.6, 11.08, 11.03, 11.18, 11.17, 11.07, 11.06, 10.96]. The historical stock value data of ATUS for the past 12 hours is: [2.12, 2.17, 2.2, 2.19, 2.19, 2.02, 1.98, 2.13, 2.1, 2.15, 2.09, 2.05]. The historical stock value data of SAR for the past 12 hours is: [24.07, 24.09, 24.13, 24.15, 24.2, 24.24, 24.27, 24.44, 24.39, 24.39, 24.28, 24.22]. The historical stock value data of JPST for the past 12 hours is: [50.53, 50.53, 50.53, 50.54, 50.53, 50.54, 50.56, 50.57, 50.57, 50.57, 50.56, 50.57]. The historical stock value data of MUSA for the past 12 hours is: [510.0, 510.98, 510.43, 510.62, 507.68, 507.12, 507.01, 506.82, 506.92, 507.05, 505.96, 509.14]. The historical stock value data of UMBF for the past 12 hours is: [99.78, 100.21, 99.76, 100.37, 99.93, 101.25, 100.81, 101.75, 101.78, 101.76, 101.84, 101.64]. The historical stock value data of TNC for the past 12 hours is: [91.54, 91.96, 91.31, 91.59, 91.4, 90.81, 91.0, 91.2, 91.0, 90.92, 90.97, 90.7]. 
Option C: The historical stock value data of TSQ for the past 12 hours is: [9.88, 9.84, 9.77, 9.69, 9.54, 9.63, 9.62, 9.69, 9.71, 9.65, 9.59, 9.62]. The historical stock value data of QRVO for the past 12 hours is: [104.21, 104.62, 103.59, 104.75, 104.31, 106.01, 105.63, 106.06, 105.61, 105.17, 105.12, 105.26]. The historical stock value data of BRX for the past 12 hours is: [27.03, 27.08, 27.07, 27.16, 27.18, 27.1, 27.12, 27.23, 27.33, 27.42, 27.45, 27.38]. The historical stock value data of FCPT for the past 12 hours is: [28.99, 29.03, 29.09, 29.25, 29.17, 29.08, 29.0, 29.24, 29.39, 29.54, 29.58, 29.58]. The historical stock value data of FPF for the past 12 hours is: [18.72, 18.71, 18.71, 18.74, 18.7, 18.75, 18.69, 18.72, 18.69, 18.67, 18.7, 18.72]. The historical stock value data of RCL for the past 12 hours is: [155.32, 156.69, 156.52, 157.31, 156.51, 159.93, 159.81, 160.88, 161.13, 159.69, 159.88, 160.27]. The historical stock value data of NAK for the past 12 hours is: [0.32, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.35, 0.35, 0.35, 0.35, 0.35]. The historical stock value data of MNST for the past 12 hours is: [48.42, 48.44, 48.7, 48.62, 48.67, 50.46, 50.16, 50.56, 50.73, 50.67, 51.01, 50.76]. The historical stock value data of TDIV for the past 12 hours is: [73.76, 73.96, 73.7, 74.04, 73.74, 74.39, 74.1, 74.63, 74.76, 74.36, 74.53, 74.68]. ",external_data_mc/answer_info/answer_info_66.pkl,external_data_mc/executor_variables/executor_variables_66.pkl
67,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' price data for 13 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: IHT weighted by : [1.0].     Option B: The portfolio contains the following stocks: SCS weighted by : [1.0].     Option C: The portfolio contains the following stocks: CONL weighted by : [1.0]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: IHT weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: SCS weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: CONL weighted by : [1.0]. ']",C,"Option A: The historical stock value data of IHT for the past 84 days is: [1.25, 1.27, 1.31, 1.26, 1.25, 1.31, 1.21, 1.23, 1.18, 1.14, 1.15, 1.21, 1.18, 1.17, 1.18, 1.15, 1.16, 1.21, 1.18, 1.19, 1.22, 1.22, 1.21, 1.26, 1.25, 1.3, 1.23, 1.21, 1.21, 1.24, 1.26, 1.36, 1.25, 1.36, 1.34, 1.33, 1.3, 1.36, 1.35, 1.38, 1.39, 1.31, 1.4, 1.39, 1.24, 1.32, 1.41, 1.54, 1.39, 1.51, 1.67, 1.73, 1.62, 1.49, 1.34, 1.37, 1.41, 1.36, 1.29, 1.38, 1.35, 1.31, 1.26, 1.31, 1.25, 1.3, 1.27, 1.26, 1.34, 1.39, 1.38, 1.42, 1.42, 1.4, 1.37, 1.41, 1.41, 1.41, 1.4, 1.35, 1.32, 1.31, 1.37, 1.35]. 
Option B: The historical stock value data of SCS for the past 84 days is: [10.85, 10.54, 10.28, 10.21, 10.26, 10.2, 10.25, 10.13, 10.23, 10.66, 10.87, 10.92, 11.15, 10.91, 10.9, 10.97, 11.01, 11.12, 11.05, 11.71, 11.75, 11.58, 11.86, 11.93, 11.81, 11.82, 11.75, 11.78, 11.72, 11.83, 12.03, 12.18, 12.16, 12.09, 12.14, 12.33, 12.25, 12.28, 12.14, 12.33, 12.59, 12.2, 12.23, 12.41, 13.77, 13.79, 13.59, 13.51, 13.41, 13.23, 13.21, 12.98, 12.9, 12.81, 12.67, 12.77, 12.59, 12.58, 12.43, 12.52, 12.39, 12.16, 12.19, 12.32, 12.66, 12.58, 12.55, 12.68, 12.72, 13.21, 13.01, 12.49, 12.71, 12.43, 12.24, 12.36, 12.38, 12.66, 12.74, 12.88, 12.33, 12.92, 13.33, 13.15]. 
Option C: The historical stock value data of CONL for the past 84 days is: [9.86, 9.71, 10.01, 10.51, 11.51, 10.61, 9.92, 9.18, 9.74, 10.41, 10.53, 11.91, 12.16, 12.29, 12.86, 12.7, 13.67, 13.68, 13.62, 13.5, 14.82, 14.54, 15.01, 16.6, 16.47, 17.32, 18.8, 19.87, 21.97, 21.88, 21.01, 23.29, 25.23, 24.98, 23.48, 23.89, 26.63, 24.3, 24.67, 27.53, 28.41, 26.81, 28.24, 30.41, 30.58, 32.34, 34.48, 33.52, 37.32, 37.59, 33.86, 28.89, 27.6, 28.47, 28.07, 29.51, 27.47, 27.27, 24.5, 21.75, 22.57, 22.49, 20.13, 20.19, 21.26, 19.94, 19.07, 18.92, 20.24, 22.67, 21.97, 21.1, 21.28, 21.39, 17.47, 18.21, 18.86, 22.12, 25.32, 27.1, 24.56, 31.46, 33.49, 39.34]. ",external_data_mc/answer_info/answer_info_67.pkl,external_data_mc/executor_variables/executor_variables_67.pkl
68,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 27 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: HSY, NTR, NGL, LEU weighted by : [0.286, 0.174, 0.298, 0.242].     Option B: The portfolio contains the following stocks: BNDD, NWFL, SIXA, DOGZ weighted by : [0.031, 0.219, 0.092, 0.659].     Option C: The portfolio contains the following stocks: EME, LTL, OCUP, CLRB weighted by : [0.261, 0.348, 0.132, 0.26]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: HSY, NTR, NGL, LEU weighted by : [0.286, 0.174, 0.298, 0.242]. ', 'Option B: The portfolio contains the following stocks: BNDD, NWFL, SIXA, DOGZ weighted by : [0.031, 0.219, 0.092, 0.659]. ', 'Option C: The portfolio contains the following stocks: EME, LTL, OCUP, CLRB weighted by : [0.261, 0.348, 0.132, 0.26]. ']",B,"Option A: The historical stock value data of HSY for the past 56 days is: [194.37, 199.47, 195.34, 196.6, 195.3, 189.65, 188.31, 191.08, 191.86, 195.58, 197.82, 192.22, 193.29, 191.11, 191.55, 191.94, 189.42, 186.92, 183.28, 180.09, 180.82, 179.97, 182.35, 182.51, 183.8, 184.54, 185.58, 184.61, 183.63, 189.85, 191.28, 191.07, 193.22, 195.23, 193.82, 195.47, 197.24, 197.37, 202.0, 206.66, 206.05, 202.62, 206.72, 205.6, 206.64, 205.91, 204.14, 199.64, 195.63, 196.23, 192.2, 191.78, 196.45, 195.05, 198.68, 196.98]. The historical stock value data of NTR for the past 56 days is: [52.71, 51.98, 52.55, 52.52, 51.16, 51.47, 51.97, 53.07, 53.75, 54.29, 54.03, 55.61, 55.61, 56.17, 55.15, 55.66, 54.9, 54.02, 52.37, 51.82, 51.13, 51.27, 52.1, 52.23, 51.76, 51.73, 51.75, 51.51, 52.0, 53.52, 52.22, 51.92, 52.07, 52.38, 53.45, 54.69, 54.85, 57.57, 57.57, 56.37, 56.9, 56.74, 56.58, 57.16, 59.35, 58.96, 59.7, 58.59, 58.25, 58.68, 56.45, 56.71, 58.0, 57.07, 56.62, 55.16]. The historical stock value data of NGL for the past 56 days is: [5.93, 5.9, 5.87, 5.83, 5.85, 5.83, 5.76, 5.75, 5.76, 5.8, 5.78, 5.73, 5.75, 5.9, 5.99, 5.9, 6.05, 6.03, 6.0, 5.93, 5.79, 5.72, 5.7, 5.75, 5.77, 5.86, 5.99, 5.89, 5.76, 5.9, 5.81, 5.77, 5.86, 5.91, 5.91, 5.85, 5.93, 5.79, 5.73, 5.62, 5.6, 5.7, 5.7, 5.7, 5.66, 5.71, 5.64, 5.52, 5.68, 5.57, 5.6, 5.63, 5.68, 5.8, 5.76, 5.88]. The historical stock value data of LEU for the past 56 days is: [38.77, 39.07, 41.05, 41.29, 40.37, 40.87, 39.32, 41.07, 41.53, 43.67, 44.71, 47.2, 45.48, 44.78, 44.4, 43.51, 43.34, 44.18, 43.41, 41.86, 41.66, 40.69, 40.63, 41.37, 42.0, 41.93, 40.78, 40.89, 41.57, 42.98, 42.93, 43.06, 45.07, 45.05, 45.64, 44.3, 42.13, 44.01, 43.89, 43.39, 43.25, 43.2, 43.64, 46.61, 50.83, 48.32, 47.55, 45.93, 47.97, 50.97, 49.17, 50.77, 49.63, 47.09, 45.1, 45.38]. 
Option B: The historical stock value data of BNDD for the past 56 days is: [14.59, 14.56, 14.4, 14.43, 14.52, 14.44, 14.53, 14.63, 14.76, 14.6, 14.44, 14.36, 14.42, 14.42, 14.5, 14.6, 14.76, 14.66, 14.67, 14.45, 14.44, 14.43, 14.5, 14.55, 14.51, 14.44, 14.34, 14.35, 14.43, 14.46, 14.48, 14.47, 14.37, 14.39, 14.48, 14.56, 14.52, 14.57, 14.55, 14.54, 14.55, 14.57, 14.65, 14.58, 14.57, 14.58, 14.67, 14.73, 14.78, 14.56, 14.43, 14.45, 14.46, 14.72, 14.79, 14.86]. The historical stock value data of NWFL for the past 56 days is: [26.67, 26.78, 26.08, 27.22, 26.57, 26.09, 25.93, 26.25, 26.57, 27.84, 23.85, 24.71, 24.18, 24.78, 24.32, 24.32, 23.75, 23.9, 23.48, 23.23, 23.29, 23.72, 23.28, 24.01, 24.32, 23.84, 23.93, 23.78, 24.09, 23.97, 23.82, 24.4, 24.99, 25.07, 25.03, 25.05, 23.98, 24.71, 23.36, 23.9, 24.42, 24.02, 24.4, 24.21, 24.49, 24.97, 24.67, 24.07, 24.21, 24.62, 24.3, 25.1, 25.02, 24.78, 24.67, 25.06]. The historical stock value data of SIXA for the past 56 days is: [39.98, 40.22, 40.46, 40.49, 40.4, 40.36, 40.32, 40.69, 40.84, 40.68, 40.51, 40.51, 40.1, 40.45, 40.37, 40.41, 40.15, 40.18, 39.66, 39.44, 39.37, 39.41, 39.46, 39.56, 39.83, 40.18, 40.26, 39.86, 39.99, 40.13, 39.69, 39.45, 39.7, 39.99, 40.19, 40.4, 40.46, 40.61, 40.75, 40.72, 40.83, 41.15, 41.09, 41.16, 41.03, 41.11, 40.93, 40.6, 40.7, 40.57, 40.38, 40.26, 40.93, 40.77, 40.94, 41.03]. The historical stock value data of DOGZ for the past 56 days is: [7.5, 7.05, 6.71, 6.72, 6.74, 6.27, 6.07, 4.98, 5.81, 6.49, 6.7, 8.12, 9.56, 8.05, 9.7, 6.9, 7.59, 7.23, 7.19, 6.81, 6.72, 7.68, 6.71, 6.74, 6.35, 6.37, 6.17, 6.25, 6.16, 6.36, 6.19, 5.83, 6.11, 5.87, 5.97, 5.75, 5.61, 5.58, 6.1, 7.9, 7.66, 7.71, 8.28, 8.42, 8.22, 11.36, 11.71, 11.3, 10.97, 10.51, 9.99, 10.69, 11.05, 13.76, 15.67, 13.59]. 
Option C: The historical stock value data of EME for the past 56 days is: [330.39, 334.23, 333.66, 345.41, 347.5, 346.64, 350.7, 351.11, 349.72, 354.38, 357.75, 361.91, 356.64, 364.52, 360.61, 351.42, 349.58, 351.92, 351.4, 347.04, 345.02, 338.97, 335.84, 328.41, 332.37, 337.86, 338.66, 349.12, 353.78, 363.41, 356.93, 355.0, 356.05, 363.53, 371.72, 375.14, 379.18, 382.03, 380.03, 373.31, 374.01, 385.34, 375.34, 378.12, 383.58, 387.98, 388.24, 389.84, 398.43, 393.42, 393.64, 395.33, 388.4, 372.85, 368.65, 377.89]. The historical stock value data of LTL for the past 56 days is: [59.64, 60.24, 62.91, 63.01, 63.28, 62.7, 62.4, 63.0, 63.01, 63.82, 63.63, 64.61, 62.91, 64.25, 64.02, 64.15, 63.31, 64.39, 62.21, 60.67, 60.28, 60.12, 60.61, 59.27, 59.55, 61.17, 61.34, 56.99, 60.01, 58.52, 56.72, 57.74, 58.64, 60.02, 61.53, 61.76, 61.55, 62.07, 62.36, 62.01, 62.66, 63.4, 63.31, 63.33, 63.74, 63.67, 63.68, 62.22, 63.81, 63.92, 63.28, 62.93, 64.08, 64.48, 65.18, 66.8]. The historical stock value data of OCUP for the past 56 days is: [1.93, 1.91, 1.98, 2.09, 2.03, 1.96, 2.03, 2.02, 2.01, 2.23, 2.18, 1.94, 1.88, 1.91, 1.83, 1.86, 1.86, 1.79, 1.84, 1.76, 1.74, 1.74, 1.67, 1.66, 1.51, 1.54, 1.53, 1.54, 1.61, 1.65, 1.59, 1.64, 1.85, 1.99, 2.01, 1.94, 1.83, 1.96, 1.72, 1.68, 1.7, 1.73, 1.74, 1.69, 1.79, 1.73, 1.77, 1.71, 1.76, 1.67, 1.71, 1.68, 1.68, 1.68, 1.65, 1.75]. The historical stock value data of CLRB for the past 56 days is: [3.35, 3.78, 3.73, 3.87, 4.05, 3.87, 3.85, 3.64, 3.98, 3.92, 3.99, 3.98, 3.72, 3.76, 3.81, 3.73, 3.49, 3.71, 3.51, 3.32, 3.31, 3.21, 3.04, 3.03, 3.19, 3.11, 3.06, 3.02, 3.03, 3.1, 3.09, 3.16, 3.34, 3.42, 3.33, 3.29, 3.2, 3.24, 3.07, 3.06, 3.18, 3.36, 3.33, 3.3, 3.16, 3.25, 3.2, 3.06, 3.11, 2.96, 2.95, 3.04, 3.09, 2.95, 2.91, 3.11]. ",external_data_mc/answer_info/answer_info_68.pkl,external_data_mc/executor_variables/executor_variables_68.pkl
69,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 5 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: KEYS, TRU, MRSN, CPS weighted by : [0.008, 0.112, 0.394, 0.486].     Option B: The portfolio contains the following stocks: TRML, LTBR, BSY, PDFS weighted by : [0.162, 0.263, 0.337, 0.238].     Option C: The portfolio contains the following stocks: HTBK, RLJ, BSBR, AXL weighted by : [0.337, 0.036, 0.11, 0.516]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: KEYS, TRU, MRSN, CPS weighted by : [0.008, 0.112, 0.394, 0.486]. ', 'Option B: The portfolio contains the following stocks: TRML, LTBR, BSY, PDFS weighted by : [0.162, 0.263, 0.337, 0.238]. ', 'Option C: The portfolio contains the following stocks: HTBK, RLJ, BSBR, AXL weighted by : [0.337, 0.036, 0.11, 0.516]. ']",A,"Option A: The historical stock value data of KEYS for the past 13 hours is: [143.41, 143.81, 143.21, 146.53, 145.57, 145.99, 146.07, 145.93, 145.64, 145.82, 146.29, 147.01, 146.01]. The historical stock value data of TRU for the past 13 hours is: [93.94, 94.68, 94.23, 96.54, 96.28, 96.87, 97.03, 96.22, 96.52, 96.53, 95.29, 95.67, 94.74]. The historical stock value data of MRSN for the past 13 hours is: [1.34, 1.36, 1.36, 1.37, 1.36, 1.42, 1.45, 1.43, 1.47, 1.5, 1.47, 1.5, 1.48]. The historical stock value data of CPS for the past 13 hours is: [13.79, 13.79, 13.69, 13.65, 13.56, 13.58, 13.57, 13.26, 13.16, 13.21, 13.06, 13.06, 13.04]. 
Option B: The historical stock value data of TRML for the past 13 hours is: [15.45, 15.34, 15.41, 16.22, 16.31, 16.88, 17.19, 17.56, 17.51, 17.55, 18.42, 18.86, 18.51]. The historical stock value data of LTBR for the past 13 hours is: [2.34, 2.32, 2.35, 2.43, 2.38, 2.38, 2.36, 2.39, 2.42, 2.42, 2.41, 2.37, 2.37]. The historical stock value data of BSY for the past 13 hours is: [48.06, 48.35, 48.32, 47.17, 47.02, 47.28, 47.08, 46.87, 46.33, 46.34, 47.01, 47.6, 47.36]. The historical stock value data of PDFS for the past 13 hours is: [28.55, 28.85, 28.58, 28.48, 28.15, 28.11, 28.19, 27.96, 28.1, 28.06, 28.05, 28.18, 27.86]. 
Option C: The historical stock value data of HTBK for the past 13 hours is: [9.66, 9.69, 9.68, 9.84, 9.79, 9.87, 9.9, 9.9, 9.89, 9.9, 9.75, 9.75, 9.68]. The historical stock value data of RLJ for the past 13 hours is: [9.1, 9.14, 9.09, 9.09, 9.05, 9.06, 9.03, 8.97, 8.93, 8.95, 8.85, 8.87, 8.83]. The historical stock value data of BSBR for the past 13 hours is: [5.58, 5.59, 5.57, 5.58, 5.6, 5.61, 5.64, 5.62, 5.64, 5.63, 5.55, 5.53, 5.51]. The historical stock value data of AXL for the past 13 hours is: [5.89, 5.93, 5.9, 5.89, 5.89, 5.93, 5.91, 5.91, 5.91, 5.84, 5.64, 5.66, 5.53]. ",external_data_mc/answer_info/answer_info_69.pkl,external_data_mc/executor_variables/executor_variables_69.pkl
70,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 7 stocks' price data for 9 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: GOLD, FCF, CCRD, IPG, OLP, GLP, CERS weighted by : [0.119, 0.073, 0.267, 0.206, 0.128, 0.151, 0.056].     Option B: The portfolio contains the following stocks: ASG, RDVY, AKRO, SEM, MBC, HNRA, STGW weighted by : [0.279, 0.175, 0.088, 0.235, 0.125, 0.05, 0.048].     Option C: The portfolio contains the following stocks: CBOE, DVN, WSFS, IEF, SKY, OSUR, AAP weighted by : [0.131, 0.075, 0.127, 0.222, 0.198, 0.049, 0.199]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: GOLD, FCF, CCRD, IPG, OLP, GLP, CERS weighted by : [0.119, 0.073, 0.267, 0.206, 0.128, 0.151, 0.056]. ', 'Option B: The portfolio contains the following stocks: ASG, RDVY, AKRO, SEM, MBC, HNRA, STGW weighted by : [0.279, 0.175, 0.088, 0.235, 0.125, 0.05, 0.048]. ', 'Option C: The portfolio contains the following stocks: CBOE, DVN, WSFS, IEF, SKY, OSUR, AAP weighted by : [0.131, 0.075, 0.127, 0.222, 0.198, 0.049, 0.199]. ']",A,"Option A: The historical stock value data of GOLD for the past 12 hours is: [19.56, 19.58, 19.55, 19.59, 19.53, 19.46, 19.23, 19.22, 19.0, 19.08, 19.05, 19.06]. The historical stock value data of FCF for the past 12 hours is: [16.71, 16.7, 16.75, 16.76, 16.75, 16.72, 16.61, 16.48, 16.48, 16.57, 16.49, 16.58]. The historical stock value data of CCRD for the past 12 hours is: [14.36, 14.4, 14.41, 14.77, 14.74, 14.27, 14.51, 14.42, 14.39, 14.33, 14.5, 14.78]. The historical stock value data of IPG for the past 12 hours is: [31.27, 31.34, 31.4, 31.5, 31.47, 31.47, 31.6, 31.28, 31.23, 31.24, 31.01, 31.11]. The historical stock value data of OLP for the past 12 hours is: [26.69, 26.66, 26.66, 26.69, 26.66, 26.62, 26.64, 26.47, 26.44, 26.58, 26.55, 26.66]. The historical stock value data of GLP for the past 12 hours is: [42.7, 42.47, 42.1, 42.26, 42.09, 42.26, 42.45, 42.73, 42.94, 42.78, 42.51, 42.64]. The historical stock value data of CERS for the past 12 hours is: [2.08, 2.09, 2.09, 2.08, 2.08, 2.08, 2.01, 1.99, 1.99, 2.05, 2.03, 2.04]. 
Option B: The historical stock value data of ASG for the past 12 hours is: [5.36, 5.36, 5.36, 5.38, 5.36, 5.35, 5.31, 5.28, 5.28, 5.3, 5.28, 5.3]. The historical stock value data of RDVY for the past 12 hours is: [56.59, 56.64, 56.62, 56.82, 56.79, 56.72, 56.57, 56.17, 56.03, 56.23, 56.01, 56.09]. The historical stock value data of AKRO for the past 12 hours is: [25.84, 26.14, 26.0, 26.05, 26.16, 26.36, 26.02, 25.83, 25.88, 26.24, 26.1, 26.55]. The historical stock value data of SEM for the past 12 hours is: [35.29, 35.46, 35.38, 35.32, 35.32, 35.17, 34.18, 33.87, 33.71, 34.06, 33.97, 34.0]. The historical stock value data of MBC for the past 12 hours is: [15.7, 15.8, 15.78, 15.9, 16.02, 15.93, 15.91, 15.79, 15.82, 15.86, 15.76, 15.86]. The historical stock value data of HNRA for the past 12 hours is: [1.51, 1.47, 1.45, 1.39, 1.36, 1.33, 1.35, 1.32, 1.34, 1.35, 1.38, 1.41]. The historical stock value data of STGW for the past 12 hours is: [6.94, 6.94, 6.93, 6.97, 6.99, 7.03, 6.94, 6.8, 6.79, 6.82, 6.74, 6.74]. 
Option C: The historical stock value data of CBOE for the past 12 hours is: [209.01, 208.42, 209.04, 209.13, 209.15, 210.83, 210.63, 210.38, 210.33, 210.27, 210.87, 210.91]. The historical stock value data of DVN for the past 12 hours is: [42.11, 42.14, 42.15, 42.19, 42.19, 42.08, 42.04, 41.52, 41.26, 41.4, 41.14, 41.24]. The historical stock value data of WSFS for the past 12 hours is: [52.27, 52.21, 52.22, 52.48, 52.38, 52.45, 51.81, 51.25, 51.2, 51.46, 51.15, 51.32]. The historical stock value data of IEF for the past 12 hours is: [98.04, 98.15, 98.24, 98.27, 98.21, 98.22, 98.45, 98.7, 98.42, 98.46, 98.43, 98.35]. The historical stock value data of SKY for the past 12 hours is: [89.85, 89.38, 89.26, 89.93, 89.09, 89.54, 89.02, 88.2, 88.64, 89.01, 88.72, 88.92]. The historical stock value data of OSUR for the past 12 hours is: [4.36, 4.47, 4.47, 4.49, 4.49, 4.47, 4.41, 4.32, 4.22, 4.22, 4.16, 4.18]. The historical stock value data of AAP for the past 12 hours is: [41.07, 41.11, 40.74, 40.54, 40.45, 40.44, 40.26, 40.21, 39.67, 39.9, 39.79, 39.74]. ",external_data_mc/answer_info/answer_info_70.pkl,external_data_mc/executor_variables/executor_variables_70.pkl
71,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 5 stocks' price data for 21 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: KYN, SIRI, PRFX, HESM, CNO weighted by : [0.048, 0.524, 0.224, 0.097, 0.108].     Option B: The portfolio contains the following stocks: UCON, ZLAB, BEPI, AREN, ACWX weighted by : [0.199, 0.211, 0.233, 0.069, 0.287].     Option C: The portfolio contains the following stocks: AVA, SHYL, XOS, AAT, PCN weighted by : [0.18, 0.131, 0.11, 0.205, 0.374]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: KYN, SIRI, PRFX, HESM, CNO weighted by : [0.048, 0.524, 0.224, 0.097, 0.108]. ', 'Option B: The portfolio contains the following stocks: UCON, ZLAB, BEPI, AREN, ACWX weighted by : [0.199, 0.211, 0.233, 0.069, 0.287]. ', 'Option C: The portfolio contains the following stocks: AVA, SHYL, XOS, AAT, PCN weighted by : [0.18, 0.131, 0.11, 0.205, 0.374]. ']",A,"Option A: The historical stock value data of KYN for the past 69 days is: [8.11, 8.0, 8.18, 8.18, 8.32, 8.4, 8.61, 8.51, 8.49, 8.28, 8.43, 8.34, 8.28, 8.36, 8.25, 8.29, 8.2, 8.34, 8.25, 8.3, 8.44, 8.53, 8.59, 8.72, 8.78, 8.7, 8.67, 8.76, 8.72, 8.78, 8.85, 8.79, 8.77, 8.99, 9.08, 8.99, 9.07, 9.22, 9.1, 9.01, 9.11, 9.21, 9.18, 9.32, 9.34, 9.32, 9.38, 9.41, 9.53, 9.59, 9.54, 9.58, 9.61, 9.51, 9.52, 9.47, 9.41, 9.38, 9.36, 9.4, 9.17, 9.21, 9.34, 9.28, 9.5, 9.55, 9.55, 9.55, 9.63]. The historical stock value data of SIRI for the past 69 days is: [52.65, 53.24, 53.24, 53.43, 53.24, 52.75, 52.45, 51.86, 50.19, 50.0, 51.37, 50.78, 50.49, 50.19, 49.8, 49.04, 48.16, 49.43, 46.88, 47.27, 47.17, 47.17, 46.48, 45.99, 46.48, 46.78, 46.48, 46.09, 43.54, 43.44, 41.96, 40.98, 40.98, 41.18, 41.08, 40.88, 40.98, 40.39, 40.69, 40.1, 39.8, 39.61, 39.21, 38.03, 38.13, 38.13, 38.23, 37.93, 38.33, 38.13, 37.64, 36.26, 35.08, 34.89, 34.3, 33.22, 33.91, 32.82, 32.82, 31.55, 31.25, 30.96, 30.47, 30.07, 30.37, 30.76, 31.06, 31.06, 29.68]. The historical stock value data of PRFX for the past 69 days is: [12.66, 13.48, 12.48, 12.61, 12.36, 11.82, 12.18, 12.36, 12.0, 12.0, 11.99, 11.52, 11.8, 12.9, 12.18, 12.66, 12.69, 12.96, 12.66, 12.66, 12.78, 12.9, 12.78, 12.0, 11.7, 11.41, 11.4, 11.4, 11.46, 11.4, 13.84, 12.6, 12.36, 12.24, 12.54, 11.88, 12.47, 12.0, 11.7, 11.34, 11.04, 11.04, 11.32, 11.52, 11.82, 10.68, 10.8, 10.8, 10.68, 10.92, 10.62, 10.38, 10.62, 10.85, 10.2, 10.44, 9.06, 8.76, 7.26, 6.61, 5.89, 4.86, 5.47, 5.34, 5.27, 5.11, 5.34, 5.14, 5.03]. The historical stock value data of HESM for the past 69 days is: [30.55, 30.34, 30.9, 31.04, 31.32, 31.82, 32.01, 32.15, 32.23, 31.92, 32.27, 32.32, 32.72, 31.42, 31.4, 31.3, 31.06, 31.53, 31.54, 31.49, 31.97, 32.03, 32.39, 32.9, 33.45, 33.34, 32.93, 32.74, 32.71, 32.81, 33.34, 33.37, 33.76, 33.83, 33.59, 33.73, 34.17, 34.38, 34.08, 33.98, 33.86, 33.99, 34.05, 34.01, 34.48, 34.37, 34.3, 34.14, 34.49, 34.78, 34.6, 34.74, 35.11, 34.89, 34.4, 34.69, 34.71, 34.4, 34.43, 33.94, 33.36, 33.03, 33.44, 33.54, 34.01, 34.27, 34.01, 34.29, 33.63]. The historical stock value data of CNO for the past 69 days is: [26.55, 26.94, 27.38, 27.05, 27.03, 27.44, 27.5, 27.26, 27.38, 26.74, 26.21, 26.2, 26.13, 26.27, 27.02, 26.42, 26.79, 26.95, 26.2, 26.18, 27.03, 26.55, 26.34, 26.37, 26.41, 26.55, 26.15, 26.28, 26.28, 26.26, 26.53, 26.28, 26.41, 26.42, 26.4, 26.48, 26.54, 26.42, 26.51, 26.04, 26.21, 26.05, 26.44, 26.79, 26.87, 26.27, 26.57, 26.67, 27.11, 27.19, 26.91, 26.62, 26.64, 26.47, 26.55, 26.79, 26.45, 25.77, 24.89, 25.15, 24.94, 25.34, 24.85, 25.42, 25.91, 26.15, 26.33, 26.6, 26.17]. 
Option B: The historical stock value data of UCON for the past 69 days is: [23.84, 23.83, 23.86, 23.85, 23.84, 23.9, 23.92, 23.98, 23.98, 24.04, 24.14, 23.98, 23.89, 23.93, 23.92, 23.91, 23.92, 23.93, 23.79, 23.84, 23.86, 23.86, 23.85, 23.83, 23.81, 23.87, 23.84, 23.85, 23.89, 23.89, 23.95, 23.94, 23.98, 23.97, 24.06, 24.08, 24.07, 24.05, 24.04, 23.98, 23.94, 23.94, 23.97, 24.03, 24.05, 24.06, 24.06, 24.07, 24.1, 24.09, 24.01, 24.0, 24.03, 24.05, 23.99, 23.91, 24.0, 23.81, 23.8, 23.84, 23.77, 23.73, 23.77, 23.73, 23.75, 23.78, 23.82, 23.78, 23.75]. The historical stock value data of ZLAB for the past 69 days is: [23.56, 23.44, 22.4, 23.01, 23.0, 23.03, 22.74, 22.72, 22.3, 21.57, 22.51, 22.5, 22.12, 21.61, 19.66, 19.6, 18.68, 18.21, 17.73, 19.39, 19.89, 20.64, 19.24, 19.91, 20.08, 19.94, 20.99, 22.49, 20.8, 20.98, 21.1, 20.42, 18.91, 19.8, 19.16, 18.91, 20.01, 19.54, 20.16, 19.55, 18.47, 18.08, 18.27, 17.21, 17.25, 16.18, 16.25, 15.95, 16.19, 16.02, 16.72, 16.04, 15.9, 15.45, 15.52, 15.49, 16.02, 15.4, 15.01, 14.31, 14.2, 14.42, 13.72, 14.22, 14.07, 14.99, 15.12, 15.66, 15.74]. The historical stock value data of BEPI for the past 69 days is: [15.06, 15.19, 15.64, 15.6, 15.79, 16.04, 15.99, 15.88, 15.73, 15.58, 16.05, 15.96, 15.87, 16.01, 16.26, 16.23, 15.92, 15.87, 15.61, 15.87, 16.01, 16.1, 16.08, 16.02, 16.0, 16.18, 16.23, 16.21, 16.3, 16.71, 16.39, 16.2, 16.37, 16.54, 16.81, 16.87, 16.84, 16.84, 16.88, 16.75, 16.77, 16.86, 17.21, 17.31, 17.36, 17.17, 16.97, 16.81, 16.83, 16.65, 16.53, 16.44, 16.47, 16.6, 16.59, 16.57, 16.42, 16.33, 16.16, 16.4, 15.95, 16.01, 16.01, 15.81, 15.87, 15.97, 16.26, 16.22, 16.17]. The historical stock value data of AREN for the past 69 days is: [1.27, 0.84, 0.83, 0.83, 0.9, 1.12, 1.16, 1.17, 1.51, 1.53, 1.49, 1.32, 1.16, 1.19, 1.17, 1.19, 1.19, 1.2, 1.17, 1.39, 1.87, 1.85, 2.2, 1.96, 1.86, 1.75, 1.8, 1.74, 1.77, 1.93, 1.8, 1.72, 1.8, 1.78, 1.76, 1.76, 1.76, 1.69, 1.58, 1.53, 1.28, 1.2, 1.18, 1.34, 1.27, 1.28, 1.14, 1.14, 1.12, 1.18, 0.94, 0.86, 0.87, 0.84, 0.85, 0.88, 0.86, 0.81, 0.79, 0.75, 0.72, 0.64, 0.68, 0.63, 0.68, 0.67, 0.68, 0.68, 0.73]. The historical stock value data of ACWX for the past 69 days is: [48.68, 48.93, 48.92, 48.95, 49.36, 49.46, 49.63, 49.86, 49.72, 49.44, 49.92, 49.57, 49.34, 49.89, 49.92, 49.75, 49.96, 50.16, 49.26, 49.88, 50.4, 50.49, 50.64, 50.69, 51.21, 51.28, 51.13, 51.23, 50.83, 50.93, 51.51, 51.38, 51.18, 51.81, 52.37, 52.23, 52.06, 52.52, 52.47, 52.15, 52.04, 52.06, 52.04, 52.61, 52.62, 52.38, 52.34, 52.36, 52.65, 52.62, 52.76, 52.29, 52.51, 52.18, 52.33, 52.58, 52.7, 51.99, 52.15, 51.22, 50.97, 50.46, 50.46, 50.45, 50.42, 50.99, 51.51, 51.42, 51.37]. 
Option C: The historical stock value data of AVA for the past 69 days is: [32.21, 32.38, 32.76, 32.96, 32.13, 32.65, 32.5, 32.91, 32.84, 32.72, 33.19, 32.82, 31.83, 31.63, 31.4, 31.65, 31.9, 32.11, 31.08, 31.06, 32.43, 32.3, 32.65, 33.03, 33.16, 33.03, 32.42, 32.95, 32.67, 32.39, 32.5, 32.65, 32.68, 32.53, 33.19, 33.27, 33.7, 33.6, 33.42, 32.92, 33.11, 32.78, 32.79, 32.89, 32.97, 32.85, 32.92, 32.88, 33.83, 34.16, 33.85, 34.19, 33.81, 33.77, 33.75, 34.57, 34.45, 33.05, 33.31, 33.17, 33.01, 32.3, 32.91, 33.52, 34.22, 34.49, 34.71, 34.92, 34.71]. The historical stock value data of SHYL for the past 69 days is: [42.1, 42.06, 42.14, 42.14, 42.11, 42.31, 42.3, 42.34, 42.33, 42.22, 42.4, 42.28, 42.14, 42.29, 42.34, 42.38, 42.4, 42.37, 42.13, 42.26, 42.36, 42.26, 42.29, 42.23, 42.42, 42.54, 42.47, 42.47, 42.54, 42.54, 42.67, 42.7, 42.68, 42.74, 42.78, 42.84, 42.82, 42.82, 42.89, 42.72, 42.72, 42.76, 42.88, 42.97, 42.92, 42.89, 42.85, 42.79, 42.95, 42.88, 42.79, 42.68, 42.72, 42.7, 42.66, 42.75, 42.84, 42.58, 42.54, 42.51, 42.3, 42.2, 42.22, 42.29, 42.34, 42.5, 42.65, 42.57, 42.53]. The historical stock value data of XOS for the past 69 days is: [8.33, 7.98, 7.95, 8.02, 8.0, 8.14, 7.98, 8.23, 8.1, 8.18, 8.15, 8.14, 7.71, 7.99, 7.96, 7.9, 8.02, 7.93, 7.8, 7.93, 7.8, 7.88, 7.99, 8.04, 8.1, 7.82, 7.78, 7.86, 8.65, 9.08, 10.6, 13.57, 12.94, 12.77, 11.81, 12.48, 12.43, 13.4, 12.0, 12.26, 12.72, 12.45, 12.0, 12.0, 11.42, 11.72, 11.95, 11.8, 10.31, 10.24, 9.78, 8.54, 8.56, 9.0, 9.0, 8.76, 8.6, 8.58, 8.76, 8.84, 8.74, 8.49, 8.23, 7.85, 7.67, 7.46, 7.68, 7.63, 7.59]. The historical stock value data of AAT for the past 69 days is: [21.34, 22.02, 22.51, 22.42, 22.32, 22.73, 22.59, 22.78, 22.25, 21.47, 21.48, 21.33, 20.74, 20.86, 20.69, 21.23, 21.31, 21.57, 20.54, 20.61, 21.05, 20.85, 20.71, 20.93, 20.71, 20.61, 20.12, 20.34, 20.34, 20.65, 20.67, 20.55, 20.71, 20.22, 20.39, 20.42, 20.57, 20.71, 20.64, 20.43, 20.58, 20.53, 20.54, 20.91, 20.82, 20.47, 20.75, 20.51, 21.04, 21.3, 20.53, 20.52, 20.54, 20.28, 20.19, 20.83, 21.65, 20.23, 20.46, 20.19, 19.96, 19.8, 19.89, 19.99, 20.41, 20.69, 21.02, 20.7, 20.65]. The historical stock value data of PCN for the past 69 days is: [11.98, 11.96, 11.97, 12.01, 12.07, 12.13, 12.2, 12.26, 12.37, 12.4, 12.58, 12.59, 12.6, 12.63, 12.63, 12.52, 12.56, 12.56, 12.53, 12.52, 12.58, 12.61, 12.63, 12.66, 12.67, 12.7, 12.64, 12.64, 12.65, 12.67, 12.71, 12.72, 12.72, 12.76, 12.77, 12.81, 12.79, 12.89, 13.05, 12.99, 13.0, 13.0, 13.0, 13.02, 13.1, 13.15, 13.17, 13.19, 13.24, 13.28, 13.28, 13.3, 13.34, 13.4, 13.47, 13.51, 13.5, 13.3, 12.95, 12.81, 12.25, 12.19, 12.3, 12.3, 12.31, 12.27, 12.22, 12.11, 11.94]. ",external_data_mc/answer_info/answer_info_71.pkl,external_data_mc/executor_variables/executor_variables_71.pkl
72,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 5 stocks' price data for 14 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: S, CELH, JMIA, WMG, BJ weighted by : [0.011, 0.372, 0.045, 0.197, 0.375].     Option B: The portfolio contains the following stocks: GAP, RAPT, METU, ASAI, NWG weighted by : [0.03, 0.504, 0.275, 0.047, 0.143].     Option C: The portfolio contains the following stocks: CNM, MYRG, REZI, MSFU, CRSH weighted by : [0.025, 0.39, 0.274, 0.214, 0.097]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: S, CELH, JMIA, WMG, BJ weighted by : [0.011, 0.372, 0.045, 0.197, 0.375]. ', 'Option B: The portfolio contains the following stocks: GAP, RAPT, METU, ASAI, NWG weighted by : [0.03, 0.504, 0.275, 0.047, 0.143]. ', 'Option C: The portfolio contains the following stocks: CNM, MYRG, REZI, MSFU, CRSH weighted by : [0.025, 0.39, 0.274, 0.214, 0.097]. ']",B,"Option A: The historical stock value data of S for the past 10 hours is: [22.85, 22.43, 22.1, 22.01, 22.16, 22.02, 22.17, 22.01, 22.43, 22.08]. The historical stock value data of CELH for the past 10 hours is: [32.04, 31.95, 31.67, 32.09, 32.35, 32.69, 32.27, 31.97, 32.89, 33.49]. The historical stock value data of JMIA for the past 10 hours is: [4.38, 4.18, 4.18, 4.15, 4.17, 4.13, 4.19, 4.16, 4.34, 4.32]. The historical stock value data of WMG for the past 10 hours is: [28.16, 27.92, 27.78, 27.6, 27.67, 27.52, 27.58, 27.6, 27.98, 27.81]. The historical stock value data of BJ for the past 10 hours is: [78.29, 77.64, 76.36, 76.74, 76.93, 76.9, 76.84, 76.88, 77.4, 77.32]. 
Option B: The historical stock value data of GAP for the past 10 hours is: [21.31, 20.33, 20.11, 20.22, 20.03, 20.0, 20.1, 20.02, 20.19, 20.11]. The historical stock value data of RAPT for the past 10 hours is: [1.93, 1.88, 1.84, 1.82, 1.83, 1.83, 1.88, 1.83, 1.91, 1.95]. The historical stock value data of METU for the past 10 hours is: [27.59, 27.24, 26.56, 26.34, 25.88, 25.74, 26.09, 25.93, 26.69, 26.23]. The historical stock value data of ASAI for the past 10 hours is: [8.57, 8.49, 8.43, 8.41, 8.4, 8.39, 8.36, 8.36, 8.24, 8.2]. The historical stock value data of NWG for the past 10 hours is: [9.03, 8.85, 8.73, 8.68, 8.69, 8.68, 8.69, 8.68, 8.84, 8.81]. 
Option C: The historical stock value data of CNM for the past 10 hours is: [37.99, 38.42, 38.9, 38.56, 38.57, 38.1, 38.35, 38.02, 38.76, 38.77]. The historical stock value data of MYRG for the past 10 hours is: [90.44, 89.75, 90.09, 90.02, 90.38, 89.36, 89.55, 88.57, 87.64, 87.14]. The historical stock value data of REZI for the past 10 hours is: [18.93, 18.66, 18.5, 18.43, 18.48, 18.33, 18.29, 18.25, 18.15, 18.09]. The historical stock value data of MSFU for the past 10 hours is: [40.46, 39.99, 39.29, 39.14, 39.48, 39.02, 39.24, 39.09, 39.59, 39.34]. The historical stock value data of CRSH for the past 10 hours is: [14.62, 13.97, 14.09, 14.17, 14.16, 14.27, 14.23, 14.25, 14.12, 14.26]. ",external_data_mc/answer_info/answer_info_72.pkl,external_data_mc/executor_variables/executor_variables_72.pkl
73,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 9 stocks' price data for 19 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: PUBM, DIBS, PECO, ALNT, HSY, AMLP, METCL, EOLS, CORP weighted by : [0.08, 0.219, 0.065, 0.15, 0.153, 0.075, 0.102, 0.144, 0.012].     Option B: The portfolio contains the following stocks: MOMO, GTLS, SGOL, CIA, MTSI, CETY, UMAR, ONEY, SAIC weighted by : [0.045, 0.068, 0.139, 0.131, 0.172, 0.133, 0.177, 0.086, 0.05].     Option C: The portfolio contains the following stocks: MRBK, JKHY, WTAI, SJM, BUFG, CCCS, HEPA, PRNT, OPRT weighted by : [0.07, 0.123, 0.079, 0.102, 0.12, 0.031, 0.229, 0.016, 0.232]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: PUBM, DIBS, PECO, ALNT, HSY, AMLP, METCL, EOLS, CORP weighted by : [0.08, 0.219, 0.065, 0.15, 0.153, 0.075, 0.102, 0.144, 0.012]. ', 'Option B: The portfolio contains the following stocks: MOMO, GTLS, SGOL, CIA, MTSI, CETY, UMAR, ONEY, SAIC weighted by : [0.045, 0.068, 0.139, 0.131, 0.172, 0.133, 0.177, 0.086, 0.05]. ', 'Option C: The portfolio contains the following stocks: MRBK, JKHY, WTAI, SJM, BUFG, CCCS, HEPA, PRNT, OPRT weighted by : [0.07, 0.123, 0.079, 0.102, 0.12, 0.031, 0.229, 0.016, 0.232]. ']",C,"Option A: The historical stock value data of PUBM for the past 74 days is: [15.53, 15.38, 16.07, 15.76, 15.18, 15.0, 15.22, 14.81, 15.34, 15.3, 15.51, 15.84, 15.82, 14.96, 15.65, 16.34, 17.19, 16.43, 16.16, 16.05, 16.36, 16.57, 20.48, 19.18, 20.94, 21.07, 21.31, 20.69, 20.74, 20.57, 20.75, 20.37, 21.79, 22.98, 23.58, 22.9, 22.98, 22.88, 23.39, 23.75, 23.3, 23.3, 23.61, 23.26, 23.72, 23.74, 23.62, 23.5, 23.42, 23.69, 23.68, 23.64, 22.91, 23.28, 22.86, 21.67, 21.73, 21.57, 21.54, 21.61, 22.17, 22.84, 23.34, 22.81, 23.21, 23.17, 22.44, 22.78, 23.11, 23.43, 23.53, 24.02, 22.58, 22.47]. The historical stock value data of DIBS for the past 74 days is: [4.99, 4.94, 4.92, 4.86, 4.61, 4.43, 4.62, 4.5, 4.53, 4.4, 4.5, 4.48, 4.84, 4.56, 4.76, 4.76, 4.68, 4.68, 4.65, 4.61, 4.75, 5.02, 5.02, 4.99, 5.15, 5.25, 5.32, 5.12, 5.07, 5.26, 5.25, 5.82, 5.41, 6.06, 6.05, 5.9, 5.95, 5.95, 5.99, 6.05, 6.15, 6.03, 6.06, 5.95, 5.96, 6.0, 5.95, 5.95, 5.88, 5.9, 5.86, 5.84, 5.65, 5.54, 5.2, 4.9, 4.99, 5.1, 5.31, 5.32, 5.4, 5.3, 5.35, 5.6, 5.64, 5.89, 5.72, 5.69, 5.84, 5.74, 5.64, 5.69, 5.88, 5.9]. The historical stock value data of PECO for the past 74 days is: [34.96, 34.66, 34.57, 34.75, 33.92, 34.59, 34.0, 33.76, 34.15, 33.92, 34.0, 34.18, 34.51, 33.69, 33.62, 34.37, 33.86, 33.9, 34.1, 33.89, 33.84, 33.75, 34.03, 34.27, 35.01, 34.8, 35.61, 35.08, 34.97, 34.65, 35.25, 35.34, 35.3, 35.21, 34.71, 34.64, 34.66, 34.45, 35.25, 35.38, 34.83, 34.47, 34.31, 34.99, 35.25, 34.47, 33.64, 33.66, 33.43, 33.61, 34.11, 34.44, 32.54, 32.63, 32.46, 32.12, 31.92, 31.56, 31.95, 32.55, 32.79, 33.01, 32.75, 32.46, 32.14, 32.21, 32.23, 32.2, 32.6, 32.61, 32.34, 32.94, 32.63, 32.73]. The historical stock value data of ALNT for the past 74 days is: [28.86, 28.58, 29.37, 28.84, 27.77, 28.9, 28.54, 27.56, 28.13, 27.92, 28.15, 28.5, 29.12, 26.92, 27.79, 29.32, 28.28, 28.97, 28.24, 27.96, 28.16, 28.32, 28.65, 27.77, 28.32, 28.97, 29.91, 29.9, 36.06, 33.44, 32.99, 32.75, 32.51, 32.2, 31.76, 32.82, 32.04, 32.4, 33.52, 33.47, 33.34, 33.64, 33.87, 35.7, 35.59, 34.35, 33.53, 33.35, 33.04, 32.71, 32.73, 32.49, 31.63, 32.05, 31.54, 31.01, 30.79, 29.13, 29.03, 29.56, 29.72, 29.86, 30.01, 29.27, 29.89, 29.97, 29.32, 29.35, 29.85, 30.15, 30.58, 31.31, 31.12, 30.03]. The historical stock value data of HSY for the past 74 days is: [185.46, 186.29, 188.82, 193.31, 189.55, 194.34, 193.59, 192.34, 190.77, 190.26, 198.14, 191.42, 189.73, 190.82, 187.31, 188.61, 188.56, 190.94, 189.87, 190.91, 191.2, 186.05, 184.63, 183.68, 185.37, 185.49, 181.5, 185.01, 190.21, 189.9, 191.92, 196.32, 193.8, 193.23, 192.41, 190.91, 194.37, 199.47, 195.34, 196.6, 195.3, 189.65, 188.31, 191.08, 191.86, 195.58, 197.82, 192.22, 193.29, 191.11, 191.55, 191.94, 189.42, 186.92, 183.28, 180.09, 180.82, 179.97, 182.35, 182.51, 183.8, 184.54, 185.58, 184.61, 183.63, 189.85, 191.28, 191.07, 193.22, 195.23, 193.82, 195.47, 197.24, 197.37]. The historical stock value data of AMLP for the past 74 days is: [41.61, 42.11, 42.37, 42.41, 41.83, 42.07, 41.72, 41.62, 41.41, 41.43, 41.71, 41.61, 42.11, 41.64, 41.88, 42.71, 43.14, 43.52, 43.68, 44.19, 44.3, 43.92, 44.08, 43.64, 43.89, 44.41, 44.32, 44.55, 45.07, 44.93, 44.59, 44.7, 44.83, 44.89, 44.36, 44.79, 44.89, 45.22, 45.44, 45.56, 45.13, 45.11, 45.0, 45.23, 45.59, 45.62, 45.86, 46.29, 46.04, 45.91, 45.87, 45.52, 45.19, 45.17, 44.65, 43.99, 43.73, 44.15, 44.53, 45.12, 45.33, 45.4, 45.62, 45.49, 45.64, 45.79, 45.04, 44.71, 45.04, 45.43, 45.59, 45.71, 46.01, 46.05]. The historical stock value data of METCL for the past 74 days is: [24.28, 24.29, 24.27, 24.3, 24.34, 24.35, 24.35, 24.38, 24.32, 24.39, 24.44, 24.45, 24.35, 24.42, 24.47, 24.46, 24.46, 24.44, 24.53, 24.58, 24.49, 24.59, 24.48, 24.51, 24.59, 24.62, 24.63, 24.67, 24.68, 24.64, 24.64, 24.54, 24.5, 24.48, 24.5, 24.5, 24.5, 24.5, 24.52, 24.54, 24.54, 24.52, 24.62, 24.59, 24.58, 24.54, 24.59, 24.62, 24.62, 24.59, 24.59, 24.64, 24.59, 24.63, 24.72, 24.65, 24.7, 24.76, 24.75, 24.69, 24.75, 24.73, 24.7, 24.72, 24.75, 24.73, 24.8, 24.8, 24.8, 24.85, 24.89, 24.88, 24.9, 24.9]. The historical stock value data of EOLS for the past 74 days is: [11.84, 11.94, 13.47, 12.97, 12.69, 13.04, 13.47, 12.77, 13.05, 13.15, 13.36, 13.7, 13.73, 13.42, 13.52, 13.77, 13.52, 13.31, 13.07, 13.16, 13.72, 14.13, 14.54, 14.42, 14.83, 14.91, 14.74, 14.57, 14.11, 14.79, 14.07, 14.01, 14.09, 14.04, 14.07, 13.9, 14.0, 13.98, 13.95, 13.79, 13.81, 13.8, 13.85, 14.0, 14.0, 13.76, 13.76, 13.58, 13.42, 13.26, 13.3, 13.29, 12.77, 12.69, 12.09, 11.89, 12.05, 11.64, 11.56, 11.53, 11.72, 11.7, 11.5, 11.46, 11.43, 11.71, 11.77, 12.62, 13.22, 13.3, 13.39, 13.42, 13.26, 13.13]. The historical stock value data of CORP for the past 74 days is: [93.39, 93.18, 93.5, 93.84, 94.15, 94.46, 93.9, 93.32, 93.68, 93.38, 93.1, 93.0, 93.0, 92.25, 92.59, 92.83, 92.56, 92.77, 92.6, 92.66, 92.9, 92.63, 92.53, 92.63, 92.77, 93.18, 93.04, 93.4, 93.6, 93.84, 93.93, 93.9, 93.62, 93.55, 93.02, 92.97, 92.88, 93.09, 93.25, 93.36, 93.68, 93.45, 93.4, 93.86, 93.8, 93.23, 93.15, 93.16, 93.27, 93.0, 92.87, 93.25, 92.28, 92.02, 92.26, 91.54, 90.51, 91.62, 91.47, 91.59, 91.76, 92.04, 92.55, 91.46, 91.68, 91.93, 91.64, 91.94, 92.36, 92.87, 93.25, 93.1, 93.03, 93.08]. 
Option B: The historical stock value data of MOMO for the past 74 days is: [5.39, 5.51, 5.4, 5.32, 5.35, 5.34, 5.24, 5.32, 5.62, 5.64, 5.58, 5.58, 5.77, 5.54, 5.54, 5.68, 5.72, 5.76, 5.89, 5.92, 6.05, 6.16, 6.28, 6.13, 6.0, 6.24, 6.04, 6.09, 6.25, 6.23, 6.22, 6.43, 6.79, 6.99, 5.43, 5.44, 5.33, 5.4, 5.5, 5.39, 5.18, 5.39, 5.58, 5.69, 5.66, 5.74, 5.8, 5.64, 5.44, 5.46, 5.49, 5.66, 5.54, 5.54, 5.3, 5.45, 5.56, 5.52, 5.68, 5.59, 5.71, 5.72, 5.76, 5.72, 5.83, 5.93, 5.83, 5.89, 6.13, 6.19, 6.14, 6.08, 6.07, 6.08]. The historical stock value data of GTLS for the past 74 days is: [119.55, 110.53, 119.52, 120.84, 116.72, 121.74, 120.92, 116.89, 118.31, 117.24, 118.72, 122.24, 125.81, 122.04, 126.59, 132.62, 132.12, 126.01, 125.76, 126.0, 126.98, 127.92, 131.49, 147.68, 142.86, 146.58, 143.3, 142.15, 141.25, 144.61, 143.42, 145.0, 144.32, 146.26, 144.03, 142.77, 143.8, 148.87, 151.06, 157.4, 159.42, 159.5, 163.05, 165.31, 164.72, 159.97, 156.83, 157.01, 153.31, 155.63, 157.68, 162.44, 159.05, 155.48, 154.31, 150.1, 148.16, 147.59, 148.57, 148.04, 149.59, 153.52, 152.95, 152.0, 150.0, 148.5, 144.06, 144.99, 145.0, 155.0, 158.0, 160.65, 156.9, 154.99]. The historical stock value data of SGOL for the past 74 days is: [19.31, 19.31, 19.43, 19.46, 19.45, 19.65, 19.46, 19.37, 19.46, 19.45, 19.43, 19.35, 19.32, 19.04, 19.03, 19.17, 19.23, 19.36, 19.35, 19.36, 19.47, 19.44, 19.4, 19.45, 19.53, 19.91, 20.24, 20.36, 20.53, 20.64, 20.82, 20.85, 20.62, 20.76, 20.69, 20.63, 20.64, 20.62, 20.86, 20.86, 20.69, 20.76, 20.81, 20.96, 21.24, 21.45, 21.78, 21.97, 21.85, 22.21, 22.36, 22.48, 22.26, 22.69, 22.39, 22.81, 22.85, 22.68, 22.75, 22.83, 22.27, 22.2, 22.17, 22.29, 22.37, 22.32, 21.89, 22.07, 22.01, 22.0, 22.23, 22.12, 22.05, 22.4]. The historical stock value data of CIA for the past 74 days is: [2.8, 2.88, 2.86, 2.89, 2.8, 2.91, 2.85, 2.83, 2.81, 2.78, 2.72, 2.88, 2.94, 2.86, 2.87, 2.76, 2.79, 2.98, 2.88, 2.73, 2.7, 2.79, 2.82, 2.75, 2.81, 2.73, 2.62, 2.46, 2.47, 2.35, 2.33, 2.34, 2.34, 2.3, 2.31, 2.18, 2.21, 2.15, 2.09, 1.97, 1.99, 2.09, 2.1, 2.13, 2.14, 2.11, 2.09, 2.19, 2.12, 2.15, 2.12, 2.06, 2.05, 2.02, 1.92, 1.99, 1.97, 1.98, 2.01, 2.03, 2.02, 2.07, 2.1, 2.06, 2.08, 2.18, 2.23, 2.18, 2.14, 2.11, 2.31, 2.12, 2.37, 2.34]. The historical stock value data of MTSI for the past 74 days is: [89.68, 87.37, 89.6, 88.08, 86.23, 84.04, 80.26, 81.27, 79.92, 80.82, 82.45, 83.61, 85.03, 84.21, 85.9, 86.21, 85.63, 83.75, 84.74, 87.52, 86.53, 87.73, 85.82, 86.09, 88.33, 92.68, 94.05, 90.9, 94.21, 98.51, 93.48, 92.85, 93.26, 91.35, 89.93, 89.49, 91.08, 91.0, 94.25, 98.28, 98.07, 96.81, 94.94, 95.54, 95.64, 97.62, 99.08, 101.43, 98.56, 100.67, 101.4, 102.78, 99.46, 102.48, 98.4, 97.51, 99.85, 96.39, 95.16, 92.81, 95.58, 98.8, 100.72, 100.58, 101.71, 104.0, 101.95, 99.12, 98.98, 102.85, 103.51, 103.0, 101.43, 101.39]. The historical stock value data of CETY for the past 74 days is: [0.93, 0.93, 0.91, 0.81, 0.86, 0.85, 0.85, 0.85, 0.68, 0.54, 0.5, 0.55, 0.51, 0.54, 1.08, 0.73, 0.72, 0.64, 0.66, 0.63, 0.64, 0.64, 0.66, 0.69, 0.7, 0.67, 0.68, 0.67, 0.67, 0.69, 0.69, 0.7, 0.71, 0.72, 0.75, 0.74, 0.79, 0.8, 0.79, 0.88, 0.95, 1.13, 1.11, 1.15, 1.07, 1.16, 1.35, 1.62, 1.56, 1.58, 1.74, 1.64, 1.57, 1.66, 1.63, 1.58, 1.63, 1.48, 1.45, 1.47, 1.46, 1.44, 1.54, 1.52, 1.46, 1.49, 1.5, 1.45, 1.5, 1.45, 1.34, 1.42, 1.38, 1.38]. The historical stock value data of UMAR for the past 74 days is: [31.84, 31.83, 31.88, 31.89, 31.88, 31.89, 31.91, 31.92, 31.92, 31.93, 31.94, 31.93, 31.94, 31.93, 31.94, 31.94, 31.99, 32.0, 32.01, 32.01, 32.03, 32.03, 32.03, 32.03, 32.07, 32.24, 32.22, 32.03, 32.13, 32.33, 32.22, 32.15, 32.39, 32.34, 32.28, 32.18, 32.3, 32.39, 32.51, 32.59, 32.58, 32.5, 32.49, 32.63, 32.66, 32.62, 32.48, 32.53, 32.3, 32.51, 32.53, 32.56, 32.37, 32.5, 32.27, 32.06, 32.03, 31.93, 31.87, 31.69, 31.83, 32.08, 32.09, 32.0, 32.16, 32.24, 31.9, 31.87, 32.0, 32.23, 32.43, 32.52, 32.52, 32.58]. The historical stock value data of ONEY for the past 74 days is: [97.6, 97.92, 98.22, 98.56, 96.88, 97.43, 97.1, 95.94, 96.33, 96.48, 96.91, 97.01, 98.28, 96.19, 96.97, 98.74, 98.44, 98.22, 98.84, 99.33, 99.66, 99.09, 99.67, 99.4, 100.12, 100.54, 101.01, 101.37, 101.78, 102.46, 102.71, 102.94, 103.14, 103.78, 102.76, 103.11, 103.09, 103.97, 105.22, 106.16, 105.22, 105.27, 104.83, 106.86, 107.71, 107.14, 106.5, 106.8, 106.0, 106.38, 106.78, 107.01, 104.99, 104.82, 103.19, 102.43, 101.63, 101.48, 101.43, 102.34, 103.1, 103.69, 104.05, 103.49, 103.49, 104.18, 102.42, 102.27, 103.05, 103.77, 104.41, 104.71, 104.84, 105.78]. The historical stock value data of SAIC for the past 74 days is: [127.44, 130.13, 130.07, 129.61, 126.88, 128.03, 128.22, 126.63, 127.94, 127.75, 129.42, 130.74, 130.46, 129.24, 132.12, 133.46, 134.49, 134.07, 135.29, 137.03, 138.41, 138.61, 139.65, 139.16, 139.11, 139.95, 142.1, 142.29, 142.49, 140.59, 140.71, 139.87, 140.9, 142.67, 142.31, 141.77, 127.62, 125.95, 126.23, 127.01, 125.74, 126.47, 126.67, 129.29, 129.59, 129.52, 127.61, 128.64, 128.68, 128.87, 129.38, 126.87, 125.57, 125.96, 123.19, 120.77, 123.65, 124.28, 122.79, 124.54, 124.73, 127.67, 128.06, 128.71, 129.06, 129.71, 128.29, 128.55, 129.43, 131.13, 133.39, 134.24, 133.27, 135.32]. 
Option C: The historical stock value data of MRBK for the past 74 days is: [12.61, 12.18, 12.25, 12.25, 11.64, 11.02, 10.96, 10.62, 10.55, 9.32, 9.51, 9.51, 9.66, 9.06, 9.33, 9.64, 9.47, 9.59, 9.59, 9.36, 9.36, 9.28, 9.34, 9.06, 9.53, 9.35, 9.36, 9.75, 9.73, 9.89, 9.8, 9.85, 9.79, 9.45, 9.29, 9.3, 9.36, 9.36, 9.65, 9.7, 9.78, 9.65, 9.74, 9.7, 9.67, 9.65, 9.33, 9.0, 9.02, 8.97, 9.02, 9.02, 8.93, 8.85, 8.85, 8.67, 8.52, 8.15, 8.22, 8.29, 8.3, 8.19, 8.72, 8.79, 8.87, 8.99, 9.03, 8.51, 8.66, 8.53, 8.72, 8.72, 8.76, 8.9]. The historical stock value data of JKHY for the past 74 days is: [166.68, 167.95, 167.92, 167.83, 164.24, 165.08, 164.06, 161.68, 162.34, 167.56, 172.38, 174.25, 174.03, 170.96, 173.58, 172.41, 170.83, 171.44, 170.48, 171.98, 174.27, 172.75, 173.51, 171.67, 172.11, 170.31, 171.89, 170.87, 172.65, 172.66, 173.53, 172.4, 170.71, 171.24, 169.71, 169.85, 169.3, 169.95, 170.4, 170.75, 167.86, 164.68, 165.32, 171.15, 172.61, 169.36, 169.19, 169.16, 168.32, 168.94, 170.47, 173.05, 169.36, 168.96, 166.49, 163.98, 162.7, 163.61, 163.71, 164.53, 163.78, 165.41, 164.14, 164.82, 163.82, 165.05, 161.64, 161.47, 161.46, 163.12, 163.9, 164.58, 164.52, 167.95]. The historical stock value data of WTAI for the past 74 days is: [20.54, 20.36, 20.77, 20.53, 20.05, 20.21, 20.54, 20.39, 20.37, 20.56, 21.08, 21.55, 21.74, 20.87, 21.46, 21.57, 21.21, 20.85, 20.51, 21.09, 21.0, 21.25, 21.3, 20.97, 21.19, 21.44, 21.31, 20.67, 21.01, 21.37, 21.09, 20.95, 21.23, 20.94, 20.66, 20.39, 20.5, 20.42, 20.75, 20.97, 20.87, 20.82, 20.67, 20.78, 20.77, 20.83, 20.45, 20.54, 20.27, 20.47, 20.57, 20.62, 20.22, 20.49, 19.98, 19.47, 19.41, 19.1, 18.97, 18.47, 18.65, 19.1, 19.29, 19.19, 19.59, 19.7, 19.27, 19.23, 19.58, 19.78, 20.1, 19.96, 19.86, 19.72]. The historical stock value data of SJM for the past 74 days is: [128.06, 128.2, 128.1, 129.41, 128.06, 130.19, 129.18, 125.78, 128.7, 128.13, 127.61, 124.51, 126.3, 124.23, 121.93, 122.14, 121.83, 123.59, 123.78, 122.02, 123.62, 122.97, 120.4, 119.61, 117.98, 120.31, 119.74, 118.79, 118.07, 115.4, 117.38, 119.36, 120.48, 121.47, 119.5, 119.84, 120.44, 122.67, 121.18, 121.68, 122.2, 121.38, 121.03, 123.43, 123.58, 122.46, 120.82, 117.34, 116.62, 115.08, 113.83, 115.23, 111.47, 110.0, 107.61, 108.19, 107.98, 107.8, 109.07, 112.67, 115.32, 115.55, 116.39, 113.08, 111.53, 112.56, 112.76, 111.53, 110.79, 111.05, 110.71, 110.88, 110.94, 111.34]. The historical stock value data of BUFG for the past 74 days is: [21.63, 21.6, 21.78, 21.75, 21.55, 21.71, 21.83, 21.76, 21.76, 21.94, 21.86, 21.99, 21.99, 21.81, 21.87, 21.95, 21.97, 21.82, 21.9, 22.13, 22.14, 22.08, 22.09, 22.05, 22.14, 22.26, 22.23, 22.05, 22.17, 22.26, 22.23, 22.2, 22.34, 22.31, 22.23, 22.13, 22.27, 22.29, 22.39, 22.41, 22.44, 22.38, 22.34, 22.44, 22.52, 22.48, 22.42, 22.43, 22.28, 22.35, 22.39, 22.38, 22.26, 22.36, 22.23, 22.07, 22.05, 21.92, 21.95, 21.77, 21.91, 22.13, 22.09, 22.02, 22.22, 22.24, 22.05, 22.02, 22.13, 22.32, 22.46, 22.45, 22.47, 22.56]. The historical stock value data of CCCS for the past 74 days is: [10.97, 11.05, 11.18, 11.11, 10.99, 11.05, 11.0, 10.87, 10.86, 11.01, 11.21, 11.25, 11.24, 11.08, 11.31, 11.59, 11.48, 11.32, 11.2, 11.27, 11.36, 11.58, 11.54, 11.6, 11.71, 11.66, 11.86, 11.52, 11.85, 12.17, 12.63, 12.4, 12.39, 12.26, 12.12, 11.8, 11.79, 11.89, 11.94, 12.06, 12.01, 11.95, 11.94, 11.9, 11.96, 11.8, 11.68, 11.78, 11.78, 11.66, 11.78, 11.89, 11.8, 11.81, 11.71, 11.48, 11.54, 11.42, 11.42, 11.44, 11.4, 11.49, 11.53, 11.5, 11.5, 11.46, 11.22, 10.55, 10.68, 10.81, 10.91, 10.86, 10.9, 10.67]. The historical stock value data of HEPA for the past 74 days is: [1.94, 1.84, 1.84, 1.79, 1.9, 1.69, 1.66, 1.65, 1.58, 1.56, 1.51, 1.52, 1.52, 1.82, 1.98, 2.7, 2.56, 2.48, 2.27, 2.45, 2.42, 2.34, 2.39, 2.76, 2.97, 3.17, 2.83, 2.6, 2.29, 2.26, 2.35, 2.24, 2.18, 2.09, 2.04, 2.26, 2.18, 2.13, 2.34, 2.32, 2.35, 2.25, 2.32, 2.5, 2.49, 2.36, 2.29, 2.56, 2.64, 2.52, 2.56, 2.44, 2.28, 2.23, 2.19, 2.18, 2.04, 2.13, 2.11, 2.01, 1.41, 1.49, 1.32, 1.29, 1.37, 1.37, 1.37, 1.36, 1.52, 1.46, 1.38, 1.37, 1.31, 1.31]. The historical stock value data of PRNT for the past 74 days is: [22.09, 22.09, 22.36, 22.25, 21.93, 22.15, 21.94, 21.61, 21.82, 21.91, 22.19, 22.09, 22.31, 21.58, 22.14, 22.55, 22.36, 22.03, 21.93, 22.15, 22.22, 22.44, 22.43, 22.07, 21.85, 22.0, 21.71, 21.49, 21.92, 22.3, 22.57, 22.59, 22.49, 22.47, 22.16, 21.94, 21.91, 21.98, 22.29, 22.4, 22.21, 22.24, 22.16, 22.58, 22.68, 22.53, 22.18, 22.25, 22.15, 22.16, 22.51, 22.62, 22.19, 22.13, 21.43, 21.01, 20.81, 20.7, 20.66, 20.85, 21.09, 21.28, 21.22, 20.98, 21.26, 21.25, 20.73, 20.74, 20.8, 21.02, 21.1, 20.93, 20.88, 20.97]. The historical stock value data of OPRT for the past 74 days is: [3.97, 4.01, 4.12, 3.97, 3.68, 3.69, 3.59, 3.36, 3.52, 3.34, 3.28, 3.27, 3.53, 3.38, 3.76, 3.86, 3.79, 3.74, 3.7, 3.75, 3.88, 3.86, 3.97, 3.75, 3.87, 3.95, 3.74, 3.61, 3.76, 3.61, 3.62, 3.73, 4.02, 3.65, 3.52, 3.07, 2.73, 2.58, 2.71, 2.6, 2.63, 2.5, 2.49, 2.42, 2.43, 2.37, 2.3, 2.38, 2.36, 2.18, 2.28, 2.14, 2.3, 2.33, 2.29, 2.21, 2.19, 2.13, 2.34, 2.29, 2.25, 3.15, 3.24, 3.1, 3.15, 3.22, 3.17, 3.26, 3.22, 3.51, 3.6, 3.65, 3.64, 3.66]. ",external_data_mc/answer_info/answer_info_73.pkl,external_data_mc/executor_variables/executor_variables_73.pkl
74,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 8 stocks' price data for 20 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: AAPU, FND, PCK, JETS, GPCR, DXC, KELYA, NCV weighted by : [0.15, 0.096, 0.138, 0.147, 0.16, 0.141, 0.157, 0.012].     Option B: The portfolio contains the following stocks: TQQQ, STT, DT, HTHT, UWM, MPX, PLTK, GWW weighted by : [0.171, 0.042, 0.094, 0.131, 0.169, 0.111, 0.117, 0.165].     Option C: The portfolio contains the following stocks: OCSL, DTD, IXC, LYRA, ATUS, TSQ, IBTL, AOR weighted by : [0.084, 0.148, 0.035, 0.148, 0.144, 0.124, 0.152, 0.164]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: AAPU, FND, PCK, JETS, GPCR, DXC, KELYA, NCV weighted by : [0.15, 0.096, 0.138, 0.147, 0.16, 0.141, 0.157, 0.012]. ', 'Option B: The portfolio contains the following stocks: TQQQ, STT, DT, HTHT, UWM, MPX, PLTK, GWW weighted by : [0.171, 0.042, 0.094, 0.131, 0.169, 0.111, 0.117, 0.165]. ', 'Option C: The portfolio contains the following stocks: OCSL, DTD, IXC, LYRA, ATUS, TSQ, IBTL, AOR weighted by : [0.084, 0.148, 0.035, 0.148, 0.144, 0.124, 0.152, 0.164]. ']",B,"Option A: The historical stock value data of AAPU for the past 12 hours is: [35.3, 35.4, 35.28, 35.54, 35.42, 35.27, 35.34, 34.89, 34.83, 34.97, 34.48, 34.89]. The historical stock value data of FND for the past 12 hours is: [105.83, 106.41, 106.23, 106.72, 106.08, 105.5, 106.52, 105.24, 105.3, 106.11, 105.78, 105.86]. The historical stock value data of PCK for the past 12 hours is: [5.99, 6.0, 5.99, 6.0, 5.99, 5.99, 6.01, 6.01, 6.01, 6.01, 6.03, 6.03]. The historical stock value data of JETS for the past 12 hours is: [18.78, 18.84, 18.9, 18.86, 18.78, 18.76, 18.69, 18.58, 18.51, 18.61, 18.57, 18.63]. The historical stock value data of GPCR for the past 12 hours is: [38.28, 38.45, 38.15, 38.35, 38.44, 38.42, 37.48, 36.49, 36.92, 37.49, 37.73, 37.63]. The historical stock value data of DXC for the past 12 hours is: [20.68, 20.95, 21.0, 21.16, 21.15, 21.13, 21.24, 21.07, 21.07, 21.03, 20.91, 20.95]. The historical stock value data of KELYA for the past 12 hours is: [20.49, 20.56, 20.61, 20.67, 20.57, 20.55, 20.38, 20.22, 20.1, 20.2, 20.16, 20.08]. The historical stock value data of NCV for the past 12 hours is: [3.38, 3.37, 3.37, 3.38, 3.38, 3.38, 3.38, 3.37, 3.36, 3.37, 3.36, 3.37]. 
Option B: The historical stock value data of TQQQ for the past 12 hours is: [60.98, 61.69, 61.17, 62.17, 61.9, 62.01, 58.8, 57.44, 56.9, 57.33, 56.97, 57.51]. The historical stock value data of STT for the past 12 hours is: [85.12, 85.33, 85.44, 85.58, 85.27, 85.2, 84.81, 83.92, 83.75, 83.27, 83.03, 83.15]. The historical stock value data of DT for the past 12 hours is: [49.04, 49.3, 49.42, 49.62, 49.5, 49.28, 49.43, 49.36, 49.19, 49.44, 49.6, 50.05]. The historical stock value data of HTHT for the past 12 hours is: [29.91, 29.92, 29.74, 29.8, 29.72, 29.75, 30.35, 30.0, 30.03, 30.18, 30.17, 30.08]. The historical stock value data of UWM for the past 12 hours is: [39.36, 39.6, 39.45, 39.72, 39.63, 39.6, 38.53, 38.09, 37.91, 38.36, 38.09, 38.29]. The historical stock value data of MPX for the past 12 hours is: [9.34, 9.35, 9.34, 9.37, 9.35, 9.28, 9.28, 9.16, 9.11, 9.21, 9.26, 9.27]. The historical stock value data of PLTK for the past 12 hours is: [7.34, 7.36, 7.34, 7.39, 7.38, 7.39, 7.3, 7.22, 7.18, 7.22, 7.24, 7.24]. The historical stock value data of GWW for the past 12 hours is: [933.27, 931.57, 929.0, 935.07, 934.54, 939.16, 944.35, 944.24, 944.86, 950.64, 950.74, 950.69]. 
Option C: The historical stock value data of OCSL for the past 12 hours is: [16.91, 16.9, 16.9, 16.9, 16.91, 16.92, 16.8, 16.64, 16.61, 16.63, 16.6, 16.63]. The historical stock value data of DTD for the past 12 hours is: [74.04, 73.98, 73.98, 74.19, 74.11, 74.06, 74.21, 73.78, 73.31, 73.32, 73.13, 73.32]. The historical stock value data of IXC for the past 12 hours is: [40.44, 40.37, 40.29, 40.3, 40.26, 40.19, 39.99, 39.67, 39.59, 39.69, 39.52, 39.59]. The historical stock value data of LYRA for the past 12 hours is: [0.29, 0.29, 0.29, 0.29, 0.28, 0.28, 0.29, 0.28, 0.28, 0.29, 0.28, 0.28]. The historical stock value data of ATUS for the past 12 hours is: [2.18, 2.19, 2.18, 2.19, 2.14, 2.14, 2.15, 2.14, 2.12, 2.17, 2.2, 2.19]. The historical stock value data of TSQ for the past 12 hours is: [9.87, 9.75, 9.78, 9.8, 9.95, 9.89, 9.88, 9.91, 9.88, 9.84, 9.77, 9.69]. The historical stock value data of IBTL for the past 12 hours is: [20.77, 20.79, 20.8, 20.81, 20.82, 20.82, 20.82, 20.91, 20.85, 20.85, 20.85, 20.84]. The historical stock value data of AOR for the past 12 hours is: [57.46, 57.5, 57.52, 57.63, 57.56, 57.56, 57.33, 57.14, 56.98, 57.08, 56.98, 57.06]. ",external_data_mc/answer_info/answer_info_74.pkl,external_data_mc/executor_variables/executor_variables_74.pkl
75,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 8 stocks' price data for 14 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: EVTV, DEO, PETS, KALL, CRWD, LUCD, LIVN, HVT weighted by : [0.216, 0.181, 0.189, 0.105, 0.18, 0.044, 0.026, 0.06].     Option B: The portfolio contains the following stocks: DCBO, IGTR, EMHC, TTAI, UFEB, EET, GNW, ELVN weighted by : [0.298, 0.033, 0.083, 0.125, 0.135, 0.013, 0.192, 0.119].     Option C: The portfolio contains the following stocks: RITM, VSTE, DJUN, ZCAR, EMTL, IBTX, AGR, EWX weighted by : [0.052, 0.267, 0.005, 0.131, 0.146, 0.171, 0.14, 0.088]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: EVTV, DEO, PETS, KALL, CRWD, LUCD, LIVN, HVT weighted by : [0.216, 0.181, 0.189, 0.105, 0.18, 0.044, 0.026, 0.06]. ', 'Option B: The portfolio contains the following stocks: DCBO, IGTR, EMHC, TTAI, UFEB, EET, GNW, ELVN weighted by : [0.298, 0.033, 0.083, 0.125, 0.135, 0.013, 0.192, 0.119]. ', 'Option C: The portfolio contains the following stocks: RITM, VSTE, DJUN, ZCAR, EMTL, IBTX, AGR, EWX weighted by : [0.052, 0.267, 0.005, 0.131, 0.146, 0.171, 0.14, 0.088]. ']",C,"Option A: The historical stock value data of EVTV for the past 43 days is: [1.42, 1.38, 1.36, 1.28, 1.09, 1.11, 1.26, 1.28, 1.27, 1.27, 1.34, 1.36, 1.31, 1.28, 1.23, 1.12, 1.12, 1.19, 1.27, 1.32, 1.29, 1.36, 1.26, 1.22, 1.19, 1.16, 1.17, 1.27, 1.27, 1.24, 1.25, 1.16, 1.15, 1.13, 1.17, 1.17, 1.18, 1.12, 1.2, 1.34, 1.39, 1.46, 1.77]. The historical stock value data of DEO for the past 43 days is: [134.87, 136.46, 139.37, 137.78, 136.61, 135.5, 136.42, 137.81, 138.05, 137.75, 139.95, 141.46, 138.67, 140.66, 141.35, 138.94, 141.0, 141.03, 141.51, 141.74, 141.22, 141.4, 139.84, 138.88, 138.28, 137.37, 138.82, 136.54, 138.58, 139.74, 138.94, 137.61, 134.87, 135.62, 134.41, 133.69, 134.34, 133.48, 136.79, 140.31, 140.29, 140.39, 140.11]. The historical stock value data of PETS for the past 43 days is: [7.24, 6.93, 7.47, 7.69, 7.71, 7.61, 7.51, 7.25, 7.14, 6.91, 7.36, 7.54, 7.33, 7.27, 7.51, 7.33, 7.56, 7.52, 7.54, 7.41, 7.52, 7.56, 7.58, 7.32, 7.2, 7.15, 7.36, 7.22, 7.12, 7.16, 7.25, 7.06, 6.93, 6.84, 6.74, 7.04, 6.94, 6.8, 6.85, 6.71, 6.7, 6.44, 6.21]. The historical stock value data of KALL for the past 43 days is: [18.46, 18.56, 18.4, 18.14, 17.82, 17.81, 17.85, 17.67, 17.84, 17.88, 17.84, 17.98, 17.84, 17.73, 17.88, 17.48, 17.9, 17.58, 17.71, 17.7, 18.11, 18.21, 17.8, 17.97, 17.75, 17.69, 17.51, 17.29, 17.24, 17.41, 17.37, 17.0, 16.63, 16.7, 16.81, 16.43, 16.88, 17.34, 17.34, 17.3, 17.07, 16.75, 16.65]. The historical stock value data of CRWD for the past 43 days is: [234.44, 236.99, 235.03, 237.39, 238.97, 239.42, 240.17, 242.55, 246.97, 248.55, 252.04, 252.68, 260.08, 259.8, 258.33, 253.95, 257.32, 255.63, 257.87, 257.32, 256.13, 255.32, 246.89, 244.36, 245.65, 247.46, 261.28, 273.77, 282.04, 284.52, 283.35, 286.29, 276.27, 283.11, 290.54, 298.66, 297.27, 300.28, 293.46, 290.31, 300.67, 301.35, 292.5]. The historical stock value data of LUCD for the past 43 days is: [1.43, 1.48, 1.47, 1.54, 1.47, 1.47, 1.46, 1.37, 1.37, 1.36, 1.37, 1.34, 1.31, 1.29, 1.32, 1.37, 1.37, 1.4, 1.4, 1.44, 1.44, 1.41, 1.39, 1.37, 1.44, 1.4, 1.47, 1.48, 1.45, 1.41, 1.52, 1.46, 1.45, 1.44, 1.45, 1.43, 1.43, 1.43, 1.43, 1.43, 1.45, 1.4, 1.41]. The historical stock value data of LIVN for the past 43 days is: [44.87, 44.85, 45.92, 44.02, 43.45, 44.55, 45.07, 46.43, 45.48, 46.83, 50.38, 51.68, 50.07, 50.29, 50.51, 49.8, 51.82, 51.78, 51.87, 52.2, 52.47, 51.74, 50.54, 49.34, 49.8, 48.8, 52.16, 51.04, 51.03, 51.09, 51.19, 51.13, 50.43, 49.97, 50.25, 50.78, 50.74, 48.94, 49.94, 49.54, 50.46, 49.75, 48.68]. The historical stock value data of HVT for the past 43 days is: [30.06, 30.35, 31.19, 31.87, 31.07, 31.35, 31.71, 31.59, 31.81, 31.45, 32.31, 34.47, 34.02, 33.35, 33.96, 33.86, 34.25, 34.16, 34.47, 34.92, 35.03, 34.38, 34.82, 33.57, 34.26, 34.33, 34.25, 32.97, 33.33, 33.77, 34.05, 32.89, 32.68, 32.48, 32.94, 34.05, 33.62, 33.29, 33.64, 33.9, 33.48, 33.42, 32.83]. 
Option B: The historical stock value data of DCBO for the past 43 days is: [45.01, 44.62, 45.24, 44.74, 44.46, 44.11, 45.3, 46.23, 46.41, 46.42, 47.63, 47.98, 48.88, 49.65, 51.95, 51.09, 52.01, 51.16, 51.6, 50.92, 49.42, 48.38, 44.94, 44.27, 44.94, 43.77, 45.52, 46.02, 47.14, 46.82, 46.31, 44.59, 45.44, 46.05, 46.17, 45.15, 44.81, 44.22, 45.22, 44.59, 46.15, 45.53, 43.95]. The historical stock value data of IGTR for the past 43 days is: [23.0, 23.11, 23.23, 23.13, 23.1, 23.0, 23.21, 23.3, 23.39, 23.53, 23.83, 23.88, 23.88, 24.02, 24.14, 23.83, 24.04, 24.08, 24.18, 24.2, 24.22, 24.15, 24.01, 23.83, 23.75, 23.78, 24.11, 24.09, 24.21, 24.22, 24.23, 24.14, 24.01, 24.21, 24.51, 24.58, 24.64, 24.66, 24.77, 24.77, 24.93, 24.95, 24.56]. The historical stock value data of EMHC for the past 43 days is: [22.49, 22.35, 22.66, 22.55, 22.66, 22.77, 22.79, 22.67, 22.66, 22.69, 23.06, 23.33, 23.31, 23.34, 23.39, 23.42, 23.44, 23.41, 23.46, 23.56, 23.52, 23.46, 23.24, 23.13, 23.03, 22.94, 22.96, 22.91, 23.07, 23.23, 23.27, 23.07, 23.0, 22.91, 22.95, 22.98, 22.83, 22.8, 22.96, 22.95, 23.05, 23.11, 23.13]. The historical stock value data of TTAI for the past 43 days is: [27.62, 27.56, 27.82, 27.6, 27.47, 27.42, 27.53, 27.59, 27.74, 27.83, 28.18, 28.41, 28.18, 28.29, 28.54, 28.23, 28.66, 28.64, 28.74, 28.88, 28.83, 28.89, 28.54, 28.6, 28.52, 28.44, 28.68, 28.55, 28.68, 28.72, 28.79, 28.32, 28.11, 28.31, 28.43, 28.37, 28.38, 28.66, 28.82, 28.95, 28.96, 28.94, 28.78]. The historical stock value data of UFEB for the past 43 days is: [28.82, 28.88, 28.96, 28.9, 28.88, 28.83, 28.95, 29.03, 29.09, 29.17, 29.27, 29.29, 29.32, 29.34, 29.36, 29.28, 29.31, 29.37, 29.42, 29.44, 29.45, 29.46, 29.45, 29.4, 29.37, 29.43, 29.51, 29.53, 29.53, 29.54, 29.57, 29.57, 29.55, 29.58, 29.62, 29.62, 29.63, 29.66, 29.66, 29.67, 29.66, 29.67, 29.69]. The historical stock value data of EET for the past 43 days is: [46.84, 47.1, 47.4, 46.22, 45.74, 45.62, 46.02, 45.71, 46.11, 46.15, 46.99, 48.48, 47.86, 47.81, 48.56, 46.83, 48.6, 48.05, 48.82, 49.33, 50.13, 50.14, 48.81, 48.3, 47.97, 48.06, 48.32, 46.87, 46.67, 47.03, 47.39, 45.04, 43.71, 44.43, 45.35, 44.58, 45.32, 46.36, 46.36, 46.44, 46.49, 45.7, 45.2]. The historical stock value data of GNW for the past 43 days is: [5.72, 5.89, 6.03, 6.2, 6.14, 6.02, 6.11, 6.25, 6.29, 6.38, 6.36, 6.39, 6.29, 6.46, 6.62, 6.64, 6.82, 6.81, 6.85, 6.85, 6.78, 6.68, 6.67, 6.66, 6.64, 6.72, 6.77, 6.46, 6.44, 6.27, 6.22, 5.97, 6.03, 6.08, 6.17, 6.37, 6.24, 6.31, 6.31, 6.36, 6.26, 6.32, 6.17]. The historical stock value data of ELVN for the past 43 days is: [11.89, 11.26, 11.59, 11.5, 11.25, 10.97, 11.25, 11.99, 10.87, 10.13, 11.32, 11.83, 11.9, 11.7, 12.62, 12.19, 12.92, 14.85, 14.49, 14.82, 14.57, 13.84, 14.9, 14.41, 14.59, 13.22, 13.05, 13.66, 12.64, 11.47, 12.3, 11.9, 11.24, 12.81, 14.31, 14.73, 15.11, 15.04, 16.34, 15.98, 16.55, 16.28, 15.7]. 
Option C: The historical stock value data of RITM for the past 43 days is: [9.62, 9.69, 9.86, 9.82, 9.77, 9.72, 9.82, 9.81, 9.73, 9.83, 10.04, 10.22, 10.15, 10.15, 10.35, 10.24, 10.28, 10.3, 10.38, 10.34, 10.35, 10.2, 10.13, 9.88, 9.79, 9.94, 10.17, 10.05, 10.1, 10.11, 10.19, 10.16, 10.12, 10.2, 10.35, 10.42, 10.43, 10.48, 10.53, 10.5, 10.51, 10.44, 10.22]. The historical stock value data of VSTE for the past 43 days is: [11.0, 11.0, 10.98, 10.99, 10.98, 10.9, 10.97, 10.04, 10.14, 10.2, 10.82, 11.05, 10.73, 11.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 3.65, 3.51, 3.17, 3.03, 2.59, 2.52, 2.68, 2.42, 2.43, 2.38, 2.11]. The historical stock value data of DJUN for the past 43 days is: [36.8, 36.89, 37.06, 36.93, 36.91, 36.78, 37.01, 37.1, 37.21, 37.34, 37.65, 37.72, 37.75, 37.85, 37.92, 37.65, 37.85, 37.9, 37.99, 38.03, 38.06, 37.99, 37.9, 37.69, 37.63, 37.68, 38.01, 37.98, 38.11, 38.11, 38.15, 38.04, 37.96, 38.17, 38.46, 38.51, 38.59, 38.6, 38.67, 38.66, 38.8, 38.81, 38.51]. The historical stock value data of ZCAR for the past 43 days is: [9.87, 9.32, 9.4, 9.02, 9.4, 8.66, 8.7, 8.0, 8.6, 8.5, 11.41, 11.0, 10.75, 11.0, 11.11, 11.53, 12.0, 11.5, 12.07, 11.48, 9.6, 3.69, 2.99, 2.7, 2.56, 4.22, 3.97, 6.39, 6.64, 6.32, 6.3, 6.05, 5.11, 3.99, 3.71, 3.2, 3.37, 3.47, 3.38, 3.1, 3.29, 3.1, 2.38]. The historical stock value data of EMTL for the past 43 days is: [39.16, 39.12, 39.26, 39.18, 39.34, 39.45, 39.53, 39.49, 39.49, 39.5, 39.78, 40.06, 40.07, 40.09, 40.19, 40.27, 40.36, 40.29, 40.27, 40.43, 40.44, 40.48, 40.38, 40.24, 40.17, 40.07, 40.1, 40.06, 40.18, 40.33, 40.44, 40.34, 40.3, 40.28, 40.29, 40.32, 40.24, 40.26, 40.39, 40.42, 40.55, 40.59, 40.69]. The historical stock value data of IBTX for the past 43 days is: [37.73, 37.73, 39.86, 40.44, 39.83, 40.29, 41.34, 41.82, 42.19, 42.18, 45.83, 47.7, 47.7, 47.75, 48.59, 48.15, 49.27, 50.49, 51.25, 51.6, 51.06, 49.63, 50.02, 48.71, 48.61, 49.08, 50.19, 49.71, 49.91, 50.12, 49.57, 48.38, 47.91, 48.4, 49.69, 51.72, 49.73, 49.74, 49.28, 50.11, 51.04, 50.12, 47.52]. The historical stock value data of AGR for the past 43 days is: [29.73, 29.7, 30.8, 30.65, 30.61, 31.17, 31.06, 30.85, 30.73, 30.5, 32.09, 32.7, 31.61, 31.12, 31.3, 30.91, 31.19, 31.11, 31.35, 31.17, 31.53, 31.18, 32.05, 32.35, 32.2, 32.57, 32.81, 32.65, 32.32, 31.39, 31.58, 30.69, 30.08, 29.71, 29.81, 29.84, 29.78, 28.77, 29.55, 29.28, 29.58, 29.51, 29.23]. The historical stock value data of EWX for the past 43 days is: [54.47, 54.45, 54.94, 54.62, 54.55, 54.45, 54.77, 54.41, 54.65, 54.56, 55.24, 55.61, 55.15, 54.98, 55.22, 54.03, 55.09, 55.1, 55.21, 55.6, 55.74, 56.03, 55.61, 55.44, 55.32, 55.53, 55.62, 55.02, 55.12, 55.3, 55.41, 54.51, 53.85, 53.77, 54.15, 53.85, 53.57, 54.35, 54.54, 54.51, 54.47, 54.1, 53.83]. ",external_data_mc/answer_info/answer_info_75.pkl,external_data_mc/executor_variables/executor_variables_75.pkl
76,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 5 stocks' price data for 12 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: IE, CMBT, IFF, KLXE, IVE weighted by : [0.203, 0.251, 0.098, 0.131, 0.318].     Option B: The portfolio contains the following stocks: ONCY, MYGN, CVCO, INN, CDLX weighted by : [0.197, 0.461, 0.228, 0.012, 0.103].     Option C: The portfolio contains the following stocks: TCBI, AXTA, SKIN, MSA, DUG weighted by : [0.192, 0.191, 0.303, 0.275, 0.039]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: IE, CMBT, IFF, KLXE, IVE weighted by : [0.203, 0.251, 0.098, 0.131, 0.318]. ', 'Option B: The portfolio contains the following stocks: ONCY, MYGN, CVCO, INN, CDLX weighted by : [0.197, 0.461, 0.228, 0.012, 0.103]. ', 'Option C: The portfolio contains the following stocks: TCBI, AXTA, SKIN, MSA, DUG weighted by : [0.192, 0.191, 0.303, 0.275, 0.039]. ']",C,"Option A: The historical stock value data of IE for the past 13 hours is: [6.46, 6.4, 6.45, 6.51, 6.55, 6.57, 6.7, 6.68, 7.17, 6.77, 6.86, 6.8, 6.76]. The historical stock value data of CMBT for the past 13 hours is: [15.55, 15.4, 15.24, 15.16, 15.17, 15.14, 15.18, 15.19, 15.19, 15.03, 15.06, 15.13, 15.11]. The historical stock value data of IFF for the past 13 hours is: [102.65, 101.98, 102.35, 102.26, 102.72, 102.86, 103.15, 102.97, 103.79, 104.05, 104.67, 104.54, 103.96]. The historical stock value data of KLXE for the past 13 hours is: [6.25, 6.36, 6.27, 6.33, 6.36, 6.31, 6.27, 6.21, 6.1, 6.04, 6.01, 6.03, 5.93]. The historical stock value data of IVE for the past 13 hours is: [192.98, 192.3, 191.49, 191.08, 191.35, 191.06, 191.39, 191.12, 192.76, 192.91, 193.71, 193.69, 193.36]. 
Option B: The historical stock value data of ONCY for the past 13 hours is: [0.99, 0.97, 0.93, 0.94, 0.94, 0.94, 0.95, 0.97, 0.96, 0.94, 0.97, 0.96, 0.95]. The historical stock value data of MYGN for the past 13 hours is: [27.64, 27.11, 27.17, 26.95, 26.96, 26.87, 27.05, 26.95, 26.89, 26.52, 26.97, 27.17, 27.1]. The historical stock value data of CVCO for the past 13 hours is: [397.87, 399.62, 399.22, 400.23, 402.43, 401.02, 404.75, 402.45, 405.07, 406.55, 411.45, 408.73, 405.57]. The historical stock value data of INN for the past 13 hours is: [6.49, 6.47, 6.43, 6.42, 6.47, 6.44, 6.43, 6.39, 6.36, 6.35, 6.37, 6.36, 6.37]. The historical stock value data of CDLX for the past 13 hours is: [3.51, 3.38, 3.37, 3.41, 3.46, 3.4, 3.44, 3.42, 3.44, 3.36, 3.42, 3.35, 3.38]. 
Option C: The historical stock value data of TCBI for the past 13 hours is: [64.94, 66.46, 65.93, 66.79, 67.55, 67.67, 67.72, 67.56, 68.66, 67.87, 68.91, 68.38, 67.9]. The historical stock value data of AXTA for the past 13 hours is: [34.98, 34.82, 34.77, 34.67, 34.81, 34.69, 34.74, 34.57, 34.68, 34.67, 34.73, 34.7, 34.68]. The historical stock value data of SKIN for the past 13 hours is: [1.68, 1.54, 1.59, 1.54, 1.51, 1.48, 1.46, 1.41, 1.39, 1.39, 1.4, 1.4, 1.39]. The historical stock value data of MSA for the past 13 hours is: [172.55, 171.59, 170.17, 169.2, 169.23, 168.49, 168.57, 167.76, 173.66, 172.71, 172.06, 171.39, 171.73]. The historical stock value data of DUG for the past 13 hours is: [10.51, 10.56, 10.74, 10.77, 10.71, 10.82, 10.79, 10.77, 10.61, 10.58, 10.47, 10.49, 10.55]. ",external_data_mc/answer_info/answer_info_76.pkl,external_data_mc/executor_variables/executor_variables_76.pkl
77,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 1 stocks' price data for 22 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: NFJ weighted by : [1.0].     Option B: The portfolio contains the following stocks: GASS weighted by : [1.0].     Option C: The portfolio contains the following stocks: FNKO weighted by : [1.0]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: NFJ weighted by : [1.0]. ', 'Option B: The portfolio contains the following stocks: GASS weighted by : [1.0]. ', 'Option C: The portfolio contains the following stocks: FNKO weighted by : [1.0]. ']",B,"Option A: The historical stock value data of NFJ for the past 11 hours is: [12.88, 12.85, 12.83, 12.86, 12.85, 12.86, 12.88, 12.82, 12.76, 12.74, 12.77]. 
Option B: The historical stock value data of GASS for the past 11 hours is: [6.17, 6.17, 6.36, 6.28, 6.28, 6.24, 6.24, 6.09, 6.07, 6.0, 6.16]. 
Option C: The historical stock value data of FNKO for the past 11 hours is: [9.91, 9.71, 9.62, 9.63, 9.65, 9.63, 9.71, 9.61, 9.57, 9.59, 9.63]. ",external_data_mc/answer_info/answer_info_77.pkl,external_data_mc/executor_variables/executor_variables_77.pkl
78,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 8 stocks' price data for 19 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: SEAT, HTIA, XXII, MBLY, CTO, GDXJ, RCKT, EFXT weighted by : [0.069, 0.072, 0.005, 0.198, 0.175, 0.184, 0.069, 0.229].     Option B: The portfolio contains the following stocks: RTAI, ISVL, BWEN, ASLE, VCEL, PFN, BRLN, PBBK weighted by : [0.032, 0.029, 0.291, 0.051, 0.042, 0.107, 0.019, 0.43].     Option C: The portfolio contains the following stocks: CHEF, ASTC, AOM, DSU, HON, TRGP, BBP, EVUS weighted by : [0.19, 0.075, 0.04, 0.097, 0.19, 0.08, 0.133, 0.196]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SEAT, HTIA, XXII, MBLY, CTO, GDXJ, RCKT, EFXT weighted by : [0.069, 0.072, 0.005, 0.198, 0.175, 0.184, 0.069, 0.229]. ', 'Option B: The portfolio contains the following stocks: RTAI, ISVL, BWEN, ASLE, VCEL, PFN, BRLN, PBBK weighted by : [0.032, 0.029, 0.291, 0.051, 0.042, 0.107, 0.019, 0.43]. ', 'Option C: The portfolio contains the following stocks: CHEF, ASTC, AOM, DSU, HON, TRGP, BBP, EVUS weighted by : [0.19, 0.075, 0.04, 0.097, 0.19, 0.08, 0.133, 0.196]. ']",B,"Option A: The historical stock value data of SEAT for the past 50 days is: [5.93, 6.06, 6.03, 6.02, 6.11, 5.97, 5.35, 5.16, 5.48, 5.59, 5.78, 5.77, 5.96, 5.92, 5.84, 5.5, 5.41, 5.57, 5.61, 5.49, 5.56, 5.68, 5.84, 5.99, 6.02, 5.73, 5.74, 5.68, 5.67, 5.77, 5.9, 5.72, 5.79, 5.69, 5.55, 5.49, 5.59, 5.86, 5.89, 5.91, 5.83, 5.89, 5.93, 5.92, 5.6, 5.26, 5.19, 5.38, 5.49, 5.49]. The historical stock value data of HTIA for the past 50 days is: [14.59, 14.45, 14.27, 14.53, 14.54, 14.29, 14.32, 14.28, 14.21, 14.6, 14.4, 14.6, 14.68, 14.68, 14.81, 14.7, 14.87, 15.11, 15.26, 15.0, 15.09, 15.09, 15.14, 14.72, 15.42, 15.27, 15.15, 15.14, 15.3, 14.88, 15.07, 14.92, 14.58, 14.63, 14.68, 14.6, 14.68, 14.44, 14.3, 14.24, 14.19, 14.11, 14.17, 14.13, 14.1, 14.09, 14.26, 14.24, 14.18, 14.34]. The historical stock value data of XXII for the past 50 days is: [2.24, 2.26, 2.24, 2.24, 2.3, 2.69, 2.58, 2.59, 2.24, 2.26, 2.16, 2.06, 2.16, 2.13, 1.97, 1.95, 2.08, 2.22, 2.06, 2.18, 2.1, 2.1, 2.11, 1.92, 1.92, 1.95, 1.77, 1.48, 3.56, 2.13, 1.85, 1.67, 1.6, 1.68, 1.61, 1.65, 1.63, 1.71, 1.62, 1.65, 1.67, 1.84, 1.83, 1.73, 1.68, 1.58, 1.65, 1.68, 1.67, 1.65]. The historical stock value data of MBLY for the past 50 days is: [24.38, 25.36, 26.1, 25.47, 27.05, 25.77, 24.96, 27.81, 28.38, 27.6, 27.72, 28.43, 28.75, 28.46, 27.74, 28.94, 28.37, 30.5, 31.4, 31.57, 31.19, 31.35, 32.7, 32.15, 32.1, 32.71, 32.62, 31.78, 31.71, 31.26, 32.03, 30.91, 31.41, 31.72, 31.35, 30.13, 30.96, 30.98, 30.23, 30.12, 30.43, 31.12, 30.9, 29.2, 28.0, 27.55, 28.87, 30.5, 30.03, 29.85]. The historical stock value data of CTO for the past 50 days is: [16.06, 16.02, 16.03, 15.98, 16.13, 15.99, 15.95, 15.84, 15.95, 15.99, 16.02, 15.96, 15.98, 15.81, 15.99, 15.91, 16.01, 16.17, 16.26, 16.03, 15.99, 16.03, 16.21, 16.25, 16.3, 16.07, 16.16, 16.11, 16.08, 16.3, 16.31, 16.01, 16.2, 16.22, 16.03, 15.86, 15.93, 16.03, 16.28, 16.39, 16.49, 16.46, 16.41, 16.43, 16.61, 16.64, 16.66, 16.75, 16.32, 16.27]. The historical stock value data of GDXJ for the past 50 days is: [31.93, 31.66, 31.2, 31.88, 33.24, 34.75, 34.78, 35.51, 36.08, 35.93, 36.6, 36.12, 36.87, 36.49, 36.74, 36.35, 35.53, 37.25, 36.68, 36.15, 36.55, 36.52, 37.89, 38.74, 39.2, 39.84, 41.1, 40.5, 41.89, 41.91, 42.66, 41.88, 42.92, 41.99, 41.56, 40.83, 41.46, 41.66, 42.19, 40.2, 41.17, 41.0, 41.99, 42.39, 42.67, 40.46, 40.77, 40.91, 40.73, 41.89]. The historical stock value data of RCKT for the past 50 days is: [29.79, 30.74, 29.03, 29.3, 30.53, 28.71, 27.55, 27.77, 27.52, 27.87, 27.6, 27.06, 28.16, 27.28, 26.81, 26.52, 26.87, 27.86, 27.71, 27.21, 26.9, 26.56, 27.25, 26.94, 26.72, 25.7, 25.43, 24.98, 25.01, 24.39, 25.35, 24.42, 25.28, 24.19, 24.01, 24.25, 23.68, 23.48, 22.8, 23.87, 23.67, 23.63, 22.1, 21.98, 21.85, 21.52, 22.53, 22.77, 23.47, 23.2]. The historical stock value data of EFXT for the past 50 days is: [5.24, 5.43, 5.37, 5.73, 6.16, 6.19, 6.17, 6.22, 6.21, 6.17, 6.13, 6.09, 6.06, 6.12, 6.0, 5.89, 5.85, 5.92, 5.91, 5.85, 5.86, 5.82, 5.79, 5.79, 5.76, 5.85, 6.11, 6.08, 6.16, 6.15, 6.02, 6.06, 6.16, 6.1, 5.98, 5.89, 5.79, 5.62, 5.71, 5.64, 5.77, 5.68, 5.66, 5.92, 6.0, 5.79, 5.86, 5.85, 5.82, 5.9]. 
Option B: The historical stock value data of RTAI for the past 50 days is: [20.29, 20.21, 20.3, 20.38, 20.44, 20.37, 20.46, 20.53, 20.58, 20.58, 20.61, 20.57, 20.6, 20.35, 20.45, 20.55, 20.5, 20.51, 20.5, 20.55, 20.51, 20.51, 20.54, 20.62, 20.43, 20.35, 20.26, 20.23, 20.18, 20.2, 20.22, 19.97, 20.0, 20.03, 19.84, 19.87, 19.91, 19.83, 19.85, 19.82, 19.94, 19.91, 19.76, 19.82, 19.84, 19.8, 19.88, 19.94, 20.14, 20.22]. The historical stock value data of ISVL for the past 50 days is: [33.1, 33.22, 33.08, 33.27, 33.56, 33.39, 33.37, 33.85, 34.18, 34.18, 33.94, 34.18, 34.25, 34.04, 34.2, 34.18, 34.23, 34.62, 34.63, 34.52, 34.54, 34.62, 34.92, 34.85, 34.8, 34.5, 34.82, 34.66, 34.89, 35.13, 35.06, 34.62, 34.68, 34.13, 34.0, 33.61, 33.66, 33.65, 33.59, 33.85, 34.15, 34.03, 33.92, 34.22, 34.65, 34.06, 33.94, 34.43, 34.68, 34.95]. The historical stock value data of BWEN for the past 50 days is: [2.56, 2.55, 2.53, 2.48, 2.56, 2.42, 2.26, 2.31, 2.4, 2.37, 2.36, 2.32, 2.35, 2.28, 2.22, 2.26, 2.36, 2.43, 2.37, 2.33, 2.22, 2.35, 2.36, 2.38, 2.49, 2.45, 2.5, 2.58, 2.56, 2.53, 2.4, 2.36, 2.37, 2.31, 2.26, 2.3, 2.24, 2.27, 2.23, 2.18, 2.15, 2.14, 2.08, 2.18, 2.21, 2.12, 2.13, 2.15, 2.23, 2.2]. The historical stock value data of ASLE for the past 50 days is: [9.09, 9.0, 8.77, 8.84, 9.05, 8.69, 8.83, 9.17, 9.4, 6.97, 6.87, 7.15, 6.84, 7.23, 7.53, 7.32, 7.38, 7.83, 7.73, 7.38, 7.56, 7.49, 7.57, 7.18, 7.36, 7.27, 7.25, 7.18, 7.06, 7.1, 6.99, 6.82, 6.87, 6.93, 6.8, 6.91, 6.77, 6.75, 6.66, 6.7, 6.43, 6.44, 6.58, 6.94, 7.09, 7.13, 7.1, 7.28, 7.46, 7.5]. The historical stock value data of VCEL for the past 50 days is: [48.08, 48.0, 47.8, 45.68, 44.71, 44.77, 44.46, 45.18, 44.82, 45.2, 44.59, 44.4, 44.51, 44.21, 44.26, 44.19, 45.63, 45.75, 46.69, 46.9, 47.94, 49.56, 52.33, 52.02, 52.9, 51.26, 51.33, 50.42, 51.07, 50.23, 50.34, 49.18, 48.72, 47.9, 48.7, 47.52, 46.26, 43.86, 43.74, 45.38, 46.42, 46.11, 45.45, 46.05, 46.67, 45.87, 47.08, 47.88, 47.83, 46.94]. The historical stock value data of PFN for the past 50 days is: [6.87, 6.93, 6.89, 6.9, 6.88, 6.91, 6.95, 6.95, 6.98, 6.94, 6.94, 6.99, 6.97, 6.89, 6.84, 6.84, 6.88, 6.87, 6.93, 6.99, 6.96, 7.0, 7.04, 7.03, 7.05, 7.06, 7.08, 7.04, 7.06, 7.1, 7.1, 7.01, 6.93, 6.8, 6.67, 6.74, 6.77, 6.79, 6.82, 6.89, 6.96, 6.91, 6.83, 6.87, 6.93, 6.95, 6.99, 7.03, 7.07, 7.08]. The historical stock value data of BRLN for the past 50 days is: [50.03, 50.15, 50.17, 50.26, 50.24, 50.22, 50.23, 50.16, 50.37, 50.35, 50.37, 50.37, 50.41, 50.36, 50.39, 50.44, 50.51, 50.61, 50.64, 50.65, 50.63, 50.66, 50.7, 50.83, 50.72, 50.68, 50.8, 50.75, 50.74, 50.82, 50.9, 50.75, 50.84, 50.72, 50.74, 50.86, 50.83, 50.79, 50.59, 50.84, 51.09, 50.89, 50.9, 50.84, 50.99, 50.89, 50.97, 51.05, 51.17, 51.2]. The historical stock value data of PBBK for the past 50 days is: [14.75, 14.78, 14.28, 14.28, 14.2, 14.1, 13.52, 13.52, 13.32, 13.32, 13.13, 12.78, 12.55, 12.55, 13.11, 12.7, 12.88, 13.0, 12.95, 12.95, 12.95, 12.9, 13.0, 12.9, 12.89, 12.89, 12.89, 12.62, 12.7, 12.6, 12.7, 12.25, 12.54, 12.49, 12.45, 12.15, 11.9, 12.07, 12.0, 12.0, 12.0, 12.2, 12.28, 12.16, 12.3, 12.36, 12.5, 12.26, 12.77, 12.3]. 
Option C: The historical stock value data of CHEF for the past 50 days is: [36.65, 37.78, 37.35, 38.01, 38.17, 38.53, 38.39, 37.66, 37.63, 37.33, 36.58, 36.99, 36.99, 37.93, 37.84, 36.96, 36.79, 36.88, 37.23, 36.47, 37.15, 36.46, 37.95, 37.66, 36.86, 36.23, 35.44, 34.15, 34.76, 35.27, 34.27, 34.43, 33.93, 33.76, 32.85, 33.16, 32.48, 32.18, 32.42, 33.03, 33.39, 33.17, 32.86, 33.56, 34.42, 33.08, 34.92, 36.94, 37.78, 37.73]. The historical stock value data of ASTC for the past 50 days is: [7.46, 7.74, 7.68, 8.1, 8.19, 8.09, 7.62, 7.82, 8.0, 7.66, 8.08, 8.3, 8.2, 8.27, 8.88, 8.77, 8.75, 8.75, 8.08, 8.69, 8.8, 8.82, 8.8, 8.95, 8.63, 8.65, 8.85, 9.57, 9.55, 10.22, 9.92, 9.55, 9.65, 9.68, 9.69, 9.74, 9.54, 9.54, 9.1, 9.26, 9.38, 9.22, 9.4, 9.36, 9.18, 9.15, 9.1, 9.05, 9.07, 9.54]. The historical stock value data of AOM for the past 50 days is: [41.35, 41.32, 41.31, 41.43, 41.66, 41.6, 41.58, 41.74, 41.99, 41.94, 41.88, 41.97, 41.93, 41.7, 41.62, 41.66, 41.8, 42.01, 42.07, 42.11, 42.02, 42.01, 42.22, 42.22, 42.03, 41.92, 41.94, 41.82, 41.88, 41.92, 42.01, 41.54, 41.64, 41.4, 41.11, 40.95, 40.99, 40.9, 40.85, 41.03, 41.27, 41.2, 41.09, 41.29, 41.43, 41.08, 41.1, 41.39, 41.71, 41.86]. The historical stock value data of DSU for the past 50 days is: [10.34, 10.34, 10.33, 10.36, 10.44, 10.43, 10.43, 10.49, 10.48, 10.5, 10.46, 10.63, 10.66, 10.64, 10.51, 10.54, 10.56, 10.52, 10.52, 10.5, 10.49, 10.6, 10.55, 10.47, 10.47, 10.41, 10.4, 10.25, 10.24, 10.25, 10.34, 10.25, 10.28, 10.08, 9.8, 9.93, 10.07, 10.07, 10.06, 10.18, 10.23, 10.2, 10.17, 10.23, 10.27, 10.21, 10.29, 10.35, 10.34, 10.39]. The historical stock value data of HON for the past 50 days is: [195.99, 194.99, 194.39, 196.61, 196.55, 197.11, 195.24, 198.36, 200.45, 198.61, 198.15, 197.0, 197.6, 194.25, 195.58, 194.66, 196.91, 199.03, 199.23, 198.59, 196.36, 198.85, 202.94, 203.06, 199.85, 198.09, 195.86, 193.96, 195.04, 195.65, 196.29, 193.56, 194.77, 194.07, 191.97, 188.68, 188.33, 189.04, 192.19, 193.49, 194.07, 192.71, 190.96, 191.38, 191.7, 190.67, 193.21, 191.57, 193.72, 192.92]. The historical stock value data of TRGP for the past 50 days is: [96.39, 95.92, 96.23, 97.06, 98.15, 99.78, 101.29, 103.04, 103.48, 102.59, 103.35, 104.29, 105.15, 104.38, 104.7, 106.07, 107.8, 107.77, 109.68, 109.57, 110.27, 109.33, 109.72, 110.65, 110.89, 111.93, 114.61, 112.99, 114.58, 114.58, 113.04, 113.31, 113.95, 113.32, 112.97, 112.7, 110.89, 110.44, 111.57, 112.45, 114.62, 115.5, 116.27, 115.46, 116.54, 113.42, 111.78, 112.36, 111.68, 112.17]. The historical stock value data of BBP for the past 50 days is: [61.26, 63.13, 61.51, 59.72, 60.64, 59.56, 58.87, 58.71, 58.63, 57.36, 57.54, 56.86, 56.87, 55.77, 56.21, 55.47, 56.13, 56.39, 56.63, 55.97, 55.82, 55.46, 56.38, 56.61, 56.32, 55.12, 55.0, 54.34, 54.78, 54.57, 55.27, 54.61, 54.78, 53.1, 52.38, 52.27, 51.69, 50.6, 50.96, 51.53, 52.39, 52.29, 51.49, 52.07, 53.45, 52.97, 54.35, 54.91, 55.51, 55.65]. The historical stock value data of EVUS for the past 50 days is: [26.28, 26.3, 26.3, 26.42, 26.59, 26.63, 26.52, 26.68, 26.87, 26.77, 26.84, 26.95, 26.94, 26.73, 26.72, 26.78, 26.95, 27.14, 27.4, 27.29, 27.19, 27.2, 27.57, 27.73, 27.58, 27.39, 27.37, 27.12, 27.29, 27.28, 27.34, 27.0, 26.95, 26.51, 26.4, 26.3, 26.22, 26.22, 26.38, 26.54, 26.73, 26.82, 26.75, 26.76, 26.86, 26.58, 26.49, 26.58, 26.77, 26.93]. ",external_data_mc/answer_info/answer_info_78.pkl,external_data_mc/executor_variables/executor_variables_78.pkl
79,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 8 stocks' price data for 13 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: LCG, AVUV, SIJ, ICVT, LRFC, SPLP, IXHL, FUSB weighted by : [0.133, 0.191, 0.058, 0.084, 0.107, 0.128, 0.142, 0.157].     Option B: The portfolio contains the following stocks: IPW, AMCR, FTRI, TDSC, LSST, IBHH, EXPE, SHYF weighted by : [0.02, 0.081, 0.078, 0.108, 0.196, 0.172, 0.169, 0.178].     Option C: The portfolio contains the following stocks: NSC, SBAC, GHG, YALA, ILCG, WTBA, PUI, ADEA weighted by : [0.091, 0.267, 0.114, 0.022, 0.071, 0.033, 0.226, 0.175]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: LCG, AVUV, SIJ, ICVT, LRFC, SPLP, IXHL, FUSB weighted by : [0.133, 0.191, 0.058, 0.084, 0.107, 0.128, 0.142, 0.157]. ', 'Option B: The portfolio contains the following stocks: IPW, AMCR, FTRI, TDSC, LSST, IBHH, EXPE, SHYF weighted by : [0.02, 0.081, 0.078, 0.108, 0.196, 0.172, 0.169, 0.178]. ', 'Option C: The portfolio contains the following stocks: NSC, SBAC, GHG, YALA, ILCG, WTBA, PUI, ADEA weighted by : [0.091, 0.267, 0.114, 0.022, 0.071, 0.033, 0.226, 0.175]. ']",C,"Option A: The historical stock value data of LCG for the past 31 days is: [30.29, 30.96, 30.62, 29.59, 30.2, 30.4, 30.11, 29.66, 29.39, 30.0, 30.17, 30.18, 29.98, 29.89, 30.42, 30.52, 30.29, 29.56, 29.82, 30.23, 29.96, 29.85, 30.16, 30.07, 29.92, 29.71, 29.85, 29.97, 30.45, 30.55, 30.41]. The historical stock value data of AVUV for the past 31 days is: [86.28, 87.19, 88.81, 85.79, 86.87, 88.92, 87.81, 86.83, 86.95, 87.09, 87.52, 87.64, 88.3, 87.61, 88.34, 88.9, 88.44, 88.54, 88.51, 89.16, 89.0, 88.79, 88.63, 89.11, 87.83, 88.24, 87.98, 88.84, 90.62, 91.88, 90.66]. The historical stock value data of SIJ for the past 31 days is: [10.6, 10.6, 10.58, 10.81, 10.46, 10.3, 10.42, 10.51, 10.42, 10.13, 10.05, 10.08, 10.07, 10.02, 9.91, 9.85, 9.79, 9.96, 9.86, 9.7, 9.75, 9.85, 9.75, 9.73, 9.84, 9.82, 9.79, 9.62, 9.39, 9.22, 9.26]. The historical stock value data of ICVT for the past 31 days is: [77.19, 77.54, 77.74, 76.84, 77.36, 77.61, 77.33, 77.0, 75.99, 76.12, 76.28, 76.57, 77.07, 76.96, 77.17, 77.67, 77.77, 77.17, 77.27, 77.64, 77.79, 77.73, 77.89, 78.14, 77.96, 77.62, 77.54, 77.48, 78.17, 78.51, 78.38]. The historical stock value data of LRFC for the past 31 days is: [21.37, 21.41, 21.53, 21.53, 21.7, 21.69, 21.62, 21.54, 21.53, 21.62, 21.62, 21.5, 21.47, 21.48, 21.29, 21.37, 21.39, 21.52, 21.55, 21.37, 21.65, 21.74, 21.53, 20.95, 21.19, 21.34, 21.2, 21.38, 21.53, 21.68, 21.7]. The historical stock value data of SPLP for the past 31 days is: [36.82, 37.25, 36.81, 38.37, 37.25, 37.63, 36.0, 36.5, 36.5, 38.5, 37.5, 37.05, 36.5, 37.49, 36.5, 37.5, 37.01, 37.0, 37.0, 37.0, 38.0, 38.0, 38.5, 39.0, 39.0, 40.0, 39.49, 39.0, 39.9, 39.9, 39.9]. The historical stock value data of IXHL for the past 31 days is: [3.04, 3.16, 3.39, 3.46, 3.87, 4.4, 4.65, 4.38, 6.3, 6.39, 4.77, 4.87, 4.22, 6.27, 5.43, 5.48, 4.57, 4.1, 4.23, 4.08, 4.17, 4.45, 4.15, 3.67, 3.09, 3.12, 3.56, 2.6, 2.73, 2.72, 2.76]. The historical stock value data of FUSB for the past 31 days is: [10.25, 10.26, 10.25, 10.25, 10.01, 10.01, 10.01, 10.2, 10.2, 10.23, 10.25, 10.24, 9.72, 9.94, 9.65, 9.84, 10.29, 9.94, 10.23, 9.91, 9.91, 9.75, 9.71, 9.48, 9.19, 9.17, 8.58, 8.74, 8.93, 9.13, 9.56]. 
Option B: The historical stock value data of IPW for the past 31 days is: [0.56, 0.59, 0.59, 0.59, 0.74, 0.66, 0.7, 0.69, 0.74, 0.74, 0.7, 0.64, 0.68, 0.75, 0.74, 0.72, 0.7, 0.7, 0.64, 0.7, 0.68, 0.69, 0.66, 0.67, 0.65, 0.62, 0.62, 0.56, 0.56, 0.51, 0.51]. The historical stock value data of AMCR for the past 31 days is: [8.82, 8.77, 8.84, 8.55, 8.62, 8.66, 8.71, 8.78, 8.87, 8.92, 8.93, 8.8, 8.74, 8.66, 8.85, 8.88, 8.96, 8.96, 8.98, 9.2, 9.14, 9.25, 9.27, 9.3, 9.21, 9.26, 9.2, 9.16, 8.94, 9.06, 9.01]. The historical stock value data of FTRI for the past 31 days is: [12.1, 12.06, 12.15, 11.84, 11.92, 12.11, 12.19, 12.14, 12.2, 12.28, 12.25, 12.24, 12.29, 12.1, 12.17, 12.34, 12.3, 12.27, 12.49, 12.61, 12.46, 12.47, 12.5, 12.61, 12.56, 12.61, 12.57, 12.61, 12.8, 12.83, 12.68]. The historical stock value data of TDSC for the past 31 days is: [23.24, 23.3, 23.35, 23.01, 23.24, 23.45, 23.34, 23.28, 23.29, 23.49, 23.53, 23.46, 23.52, 23.54, 23.63, 23.8, 23.82, 23.73, 23.82, 23.93, 23.93, 23.9, 23.92, 23.93, 23.76, 23.7, 23.77, 23.85, 23.99, 24.11, 24.03]. The historical stock value data of LSST for the past 31 days is: [23.3, 23.32, 23.3, 23.25, 23.28, 23.3, 23.28, 23.3, 23.28, 23.28, 23.29, 23.28, 23.27, 23.3, 23.3, 23.34, 23.33, 23.36, 23.35, 23.39, 23.41, 23.4, 23.38, 23.36, 23.33, 23.37, 23.36, 23.39, 23.42, 23.41, 23.44]. The historical stock value data of IBHH for the past 31 days is: [22.27, 22.35, 22.29, 22.14, 22.22, 22.31, 22.21, 22.19, 22.24, 22.33, 22.31, 22.2, 22.26, 22.21, 22.34, 22.37, 22.32, 22.36, 22.43, 22.4, 22.46, 22.39, 22.39, 22.46, 22.34, 22.38, 22.39, 22.42, 22.55, 22.48, 22.53]. The historical stock value data of EXPE for the past 31 days is: [159.47, 131.11, 133.6, 134.84, 134.82, 138.53, 135.25, 135.99, 134.64, 139.1, 136.3, 134.95, 136.24, 135.53, 136.82, 136.84, 135.52, 134.03, 132.5, 133.43, 135.78, 136.93, 136.62, 135.32, 135.74, 133.47, 133.21, 135.56, 138.1, 136.39, 136.84]. The historical stock value data of SHYF for the past 31 days is: [10.72, 10.99, 11.28, 10.39, 10.99, 11.88, 11.41, 10.89, 10.92, 11.32, 11.22, 10.36, 10.14, 10.12, 10.23, 10.36, 10.0, 9.96, 10.22, 10.6, 10.69, 10.67, 10.49, 10.52, 10.55, 10.64, 11.06, 11.66, 11.87, 11.92, 11.56]. 
Option C: The historical stock value data of NSC for the past 31 days is: [251.18, 251.95, 251.05, 247.44, 249.41, 251.47, 249.19, 250.92, 254.71, 253.29, 255.09, 251.67, 249.63, 250.68, 250.52, 254.58, 256.24, 254.44, 251.52, 252.47, 256.61, 255.34, 257.85, 260.16, 255.56, 252.94, 253.32, 253.7, 258.28, 254.88, 251.25]. The historical stock value data of SBAC for the past 31 days is: [213.22, 214.45, 212.68, 206.01, 206.19, 209.05, 203.95, 204.18, 204.62, 208.29, 210.02, 204.91, 197.19, 202.33, 206.34, 205.42, 209.13, 213.51, 213.98, 215.12, 220.61, 220.66, 217.33, 217.74, 214.1, 213.46, 211.26, 213.06, 213.7, 213.0, 213.45]. The historical stock value data of GHG for the past 31 days is: [3.01, 3.03, 3.1, 3.06, 3.08, 3.06, 3.22, 3.18, 3.13, 3.18, 3.12, 3.11, 3.22, 3.23, 3.22, 3.25, 3.13, 3.1, 3.21, 3.07, 3.2, 3.26, 3.2, 3.2, 3.1, 3.15, 3.19, 3.26, 3.25, 3.24, 3.23]. The historical stock value data of YALA for the past 31 days is: [4.81, 4.85, 4.82, 4.71, 4.82, 4.85, 4.9, 4.88, 4.86, 4.92, 5.04, 5.09, 5.14, 5.06, 5.12, 5.18, 5.14, 5.17, 5.25, 5.42, 5.4, 5.35, 5.2, 5.21, 4.8, 4.84, 4.84, 4.8, 4.82, 4.78, 4.76]. The historical stock value data of ILCG for the past 31 days is: [72.65, 73.45, 73.0, 72.02, 73.01, 73.13, 72.57, 71.8, 71.58, 73.87, 73.73, 73.66, 73.78, 73.53, 74.1, 74.83, 74.65, 73.35, 73.77, 74.73, 74.06, 73.69, 75.0, 74.7, 74.72, 73.87, 74.4, 74.93, 75.67, 75.78, 75.87]. The historical stock value data of WTBA for the past 31 days is: [17.17, 17.61, 17.77, 16.7, 17.11, 17.93, 17.14, 17.0, 17.02, 17.04, 17.21, 17.09, 16.93, 16.59, 16.92, 17.02, 17.38, 17.43, 16.99, 17.11, 17.33, 17.24, 16.7, 16.69, 16.3, 16.94, 16.22, 16.42, 16.73, 16.76, 16.6]. The historical stock value data of PUI for the past 31 days is: [30.16, 30.3, 30.61, 30.09, 30.15, 30.71, 30.73, 30.66, 31.09, 30.9, 31.05, 30.66, 31.2, 31.29, 31.43, 31.32, 31.9, 31.88, 32.22, 32.36, 32.3, 32.38, 32.17, 32.12, 31.88, 31.86, 32.0, 32.32, 32.42, 32.55, 32.54]. The historical stock value data of ADEA for the past 31 days is: [12.79, 12.91, 12.74, 11.54, 11.73, 12.21, 11.97, 11.71, 11.71, 10.9, 11.22, 11.11, 11.41, 11.25, 11.2, 11.38, 11.44, 11.15, 10.9, 11.17, 11.27, 10.93, 10.95, 10.93, 10.78, 11.06, 10.85, 10.82, 10.7, 10.93, 10.49]. ",external_data_mc/answer_info/answer_info_79.pkl,external_data_mc/executor_variables/executor_variables_79.pkl
80,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 5 stocks' price data for 12 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: SUP, VANI, BRTX, GGB, JHX weighted by : [0.28, 0.313, 0.0, 0.128, 0.278].     Option B: The portfolio contains the following stocks: HPP, YLD, EVGR, PRPL, VRME weighted by : [0.191, 0.357, 0.179, 0.086, 0.187].     Option C: The portfolio contains the following stocks: SPR, PAY, BETZ, AVES, WDNA weighted by : [0.235, 0.146, 0.105, 0.254, 0.259]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SUP, VANI, BRTX, GGB, JHX weighted by : [0.28, 0.313, 0.0, 0.128, 0.278]. ', 'Option B: The portfolio contains the following stocks: HPP, YLD, EVGR, PRPL, VRME weighted by : [0.191, 0.357, 0.179, 0.086, 0.187]. ', 'Option C: The portfolio contains the following stocks: SPR, PAY, BETZ, AVES, WDNA weighted by : [0.235, 0.146, 0.105, 0.254, 0.259]. ']",A,"Option A: The historical stock value data of SUP for the past 65 days is: [3.0, 3.22, 3.28, 3.55, 4.26, 4.27, 3.94, 3.98, 3.81, 3.62, 3.64, 3.7, 3.98, 3.81, 3.75, 3.88, 3.76, 3.7, 4.02, 3.99, 3.74, 3.73, 3.96, 3.71, 3.68, 3.63, 3.51, 3.76, 3.75, 3.75, 3.78, 3.78, 3.73, 3.65, 3.69, 3.69, 3.74, 3.65, 3.69, 3.65, 3.61, 3.57, 3.53, 3.59, 3.55, 3.57, 3.42, 3.41, 3.45, 3.44, 3.48, 3.39, 3.28, 3.38, 3.34, 3.25, 3.16, 3.07, 3.19, 3.44, 3.29, 3.25, 3.26, 3.18, 3.13]. The historical stock value data of VANI for the past 65 days is: [1.88, 2.04, 2.0, 2.0, 2.18, 2.05, 2.06, 2.05, 2.07, 2.02, 1.92, 1.84, 1.8, 1.7, 1.67, 1.8, 1.73, 1.7, 1.63, 1.63, 1.62, 1.66, 1.72, 1.78, 1.79, 1.73, 1.7, 1.72, 1.81, 1.85, 1.83, 1.91, 1.97, 2.0, 1.84, 1.78, 1.76, 1.63, 1.67, 1.66, 1.64, 1.64, 1.63, 1.67, 1.64, 1.65, 1.61, 1.62, 1.64, 1.63, 1.63, 1.62, 1.6, 1.43, 1.33, 1.25, 1.25, 1.23, 1.28, 1.28, 1.27, 1.26, 1.25, 1.21, 1.21]. The historical stock value data of BRTX for the past 65 days is: [1.33, 1.31, 1.34, 1.33, 1.28, 1.28, 1.3, 1.32, 1.34, 1.32, 1.31, 1.39, 1.44, 1.37, 1.38, 1.34, 1.27, 1.23, 1.25, 1.24, 1.42, 1.37, 1.46, 1.37, 1.48, 1.47, 1.42, 1.43, 1.37, 1.31, 1.36, 1.37, 1.38, 1.3, 1.29, 1.26, 1.34, 1.32, 1.29, 1.29, 1.28, 1.24, 1.25, 1.29, 1.22, 1.15, 1.18, 1.16, 1.17, 1.17, 1.35, 1.95, 1.85, 2.22, 2.03, 2.09, 2.03, 2.07, 2.12, 2.02, 1.83, 2.03, 1.98, 1.92, 1.87]. The historical stock value data of GGB for the past 65 days is: [3.62, 3.66, 3.71, 3.67, 3.75, 3.74, 3.67, 3.66, 3.53, 3.64, 3.49, 3.5, 3.5, 3.59, 3.72, 3.59, 3.49, 3.42, 3.54, 3.53, 3.41, 3.44, 3.54, 3.72, 3.75, 3.71, 3.7, 3.64, 3.59, 3.64, 3.66, 3.78, 3.89, 3.81, 3.72, 3.61, 3.53, 3.51, 3.58, 3.52, 3.46, 3.47, 3.44, 3.32, 3.24, 3.21, 3.26, 3.14, 3.11, 3.17, 3.17, 3.17, 3.11, 3.07, 3.07, 3.14, 3.22, 3.27, 3.24, 3.28, 3.28, 3.28, 3.21, 3.24, 3.33]. The historical stock value data of JHX for the past 65 days is: [39.32, 38.94, 38.75, 39.27, 39.81, 38.8, 38.27, 37.63, 36.66, 36.13, 35.36, 34.73, 34.28, 34.24, 34.43, 35.56, 35.17, 34.95, 36.07, 36.1, 34.5, 34.66, 35.1, 35.76, 36.3, 36.93, 37.39, 37.43, 36.91, 36.38, 36.96, 37.03, 37.31, 36.76, 36.59, 30.99, 30.55, 31.21, 31.24, 31.48, 30.73, 30.98, 31.02, 32.14, 31.0, 31.04, 31.02, 30.6, 30.67, 30.27, 31.86, 31.85, 31.67, 32.0, 31.83, 31.36, 30.54, 32.14, 32.95, 31.82, 31.9, 31.54, 31.64, 31.67, 32.44]. 
Option B: The historical stock value data of HPP for the past 65 days is: [6.13, 6.31, 6.16, 6.22, 6.38, 6.62, 5.99, 6.27, 6.06, 5.74, 5.66, 5.73, 5.76, 5.87, 5.84, 5.92, 5.89, 5.62, 5.66, 5.87, 5.74, 5.63, 5.39, 5.45, 5.38, 5.17, 5.11, 5.38, 5.38, 5.47, 5.77, 5.62, 5.56, 5.31, 5.16, 5.19, 5.06, 4.83, 4.65, 4.44, 4.42, 4.67, 4.86, 4.74, 4.73, 4.71, 4.8, 4.77, 4.68, 4.62, 4.76, 4.78, 4.9, 4.86, 4.85, 4.88, 4.89, 4.92, 4.72, 4.73, 4.8, 4.81, 4.7, 4.93, 5.06]. The historical stock value data of YLD for the past 65 days is: [18.43, 18.47, 18.41, 18.41, 18.45, 18.49, 18.34, 18.31, 18.34, 18.24, 18.2, 18.21, 18.21, 18.23, 18.34, 18.37, 18.38, 18.33, 18.4, 18.44, 18.37, 18.42, 18.54, 18.61, 18.6, 18.55, 18.58, 18.57, 18.6, 18.56, 18.59, 18.66, 18.63, 18.65, 18.66, 18.68, 18.6, 18.56, 18.6, 18.56, 18.52, 18.56, 18.61, 18.63, 18.65, 18.71, 18.63, 18.6, 18.62, 18.65, 18.73, 18.7, 18.64, 18.7, 18.76, 18.75, 18.77, 18.76, 18.82, 18.74, 18.79, 18.72, 18.68, 18.71, 18.84]. The historical stock value data of EVGR for the past 65 days is: [11.32, 11.35, 11.3, 11.34, 11.31, 11.35, 11.35, 11.36, 11.34, 11.34, 11.34, 11.34, 11.39, 11.37, 11.37, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.4, 11.42, 11.42, 11.42, 11.42, 11.39, 11.4, 11.42, 11.41, 11.41, 11.41, 11.42, 11.43, 11.43, 11.43, 11.43, 11.43, 11.43, 11.43, 11.43, 11.44, 11.44, 11.44, 11.43, 11.44, 11.44, 11.44, 11.45, 11.45, 11.46, 11.46, 11.47, 11.48, 11.49, 11.47, 11.47, 11.47, 11.49, 11.48, 11.5, 11.49, 11.47]. The historical stock value data of PRPL for the past 65 days is: [1.77, 1.94, 1.91, 1.96, 1.92, 2.01, 1.8, 1.78, 1.68, 1.55, 1.57, 1.52, 1.53, 1.47, 1.5, 1.6, 1.53, 1.5, 1.51, 1.59, 1.52, 1.56, 1.6, 1.61, 1.7, 1.68, 1.53, 1.57, 1.54, 1.46, 1.48, 1.48, 1.49, 1.48, 1.47, 1.41, 1.34, 1.24, 1.28, 1.18, 1.22, 1.24, 1.25, 1.18, 1.16, 1.21, 1.17, 1.12, 1.11, 1.15, 1.15, 1.04, 1.01, 0.97, 0.9, 0.89, 0.87, 0.94, 0.88, 0.98, 1.04, 1.04, 1.1, 1.0, 1.15]. The historical stock value data of VRME for the past 65 days is: [1.48, 1.48, 1.5, 1.49, 1.65, 1.64, 1.64, 1.57, 1.59, 1.61, 1.58, 1.59, 1.59, 1.51, 1.54, 1.55, 1.65, 1.64, 1.67, 1.97, 2.26, 1.94, 1.92, 1.6, 1.76, 1.63, 1.65, 1.71, 1.76, 1.69, 1.68, 1.72, 1.74, 1.71, 1.76, 1.9, 2.04, 1.49, 1.62, 1.49, 1.46, 1.43, 1.42, 1.45, 1.47, 1.6, 1.52, 1.58, 1.6, 1.66, 1.64, 1.62, 1.65, 1.61, 1.53, 1.5, 1.52, 1.41, 1.4, 1.36, 1.39, 1.41, 1.37, 1.31, 1.34]. 
Option C: The historical stock value data of SPR for the past 65 days is: [34.54, 33.87, 34.03, 34.39, 33.91, 33.63, 34.19, 34.73, 34.27, 33.41, 33.74, 33.37, 33.15, 32.93, 32.9, 32.13, 31.54, 31.81, 32.49, 32.61, 32.0, 32.07, 33.02, 32.93, 33.02, 32.91, 30.9, 30.77, 30.49, 30.29, 30.6, 30.51, 30.99, 30.51, 31.01, 31.19, 31.48, 30.18, 31.08, 30.54, 30.19, 30.32, 30.32, 31.11, 30.97, 31.23, 30.45, 29.95, 29.92, 29.73, 29.77, 29.38, 29.35, 30.47, 31.14, 31.66, 33.56, 33.07, 31.76, 32.42, 32.82, 32.87, 33.97, 33.88, 33.82]. The historical stock value data of PAY for the past 65 days is: [21.87, 21.28, 20.55, 20.68, 21.27, 21.41, 20.88, 20.74, 20.12, 19.24, 19.41, 19.08, 19.58, 19.31, 19.36, 20.18, 20.62, 20.1, 20.78, 20.58, 20.41, 20.47, 21.02, 21.02, 22.2, 19.21, 19.36, 19.32, 18.75, 18.54, 18.52, 19.1, 18.76, 18.79, 18.61, 18.56, 18.63, 18.72, 19.07, 19.11, 19.06, 18.73, 18.71, 18.6, 18.29, 19.27, 19.67, 19.5, 19.64, 19.57, 19.45, 19.19, 18.93, 19.65, 19.33, 19.39, 18.71, 17.64, 17.76, 17.73, 18.36, 19.0, 19.13, 19.43, 19.22]. The historical stock value data of BETZ for the past 65 days is: [17.5, 17.74, 17.62, 17.87, 17.79, 17.91, 17.5, 17.57, 17.09, 16.96, 16.95, 16.77, 16.63, 16.57, 16.69, 16.95, 16.82, 16.74, 16.8, 17.1, 16.84, 16.81, 17.06, 17.17, 17.42, 17.51, 17.34, 17.53, 17.39, 17.34, 17.47, 17.78, 17.6, 17.46, 17.65, 17.58, 17.27, 16.97, 17.14, 16.75, 16.36, 16.47, 16.75, 16.87, 16.8, 16.96, 17.1, 16.81, 16.86, 16.8, 16.9, 16.76, 16.52, 17.0, 16.99, 17.2, 17.13, 17.07, 16.89, 16.85, 16.95, 17.05, 16.95, 16.92, 17.19]. The historical stock value data of AVES for the past 65 days is: [47.18, 47.39, 47.31, 47.38, 47.77, 48.04, 47.22, 47.51, 46.55, 46.31, 45.75, 45.87, 46.12, 46.07, 46.36, 46.55, 46.59, 47.01, 47.45, 47.99, 47.4, 47.47, 48.43, 48.83, 48.69, 48.29, 48.41, 48.43, 48.72, 48.92, 49.15, 49.71, 49.84, 50.13, 50.07, 49.84, 49.57, 48.95, 49.22, 49.47, 48.91, 48.85, 48.6, 49.12, 47.78, 48.29, 48.65, 48.22, 48.51, 48.25, 48.56, 48.38, 48.56, 48.65, 49.04, 48.86, 48.73, 48.92, 48.74, 48.48, 48.52, 48.75, 48.86, 49.01, 49.64]. The historical stock value data of WDNA for the past 65 days is: [16.54, 16.63, 16.47, 16.55, 16.55, 16.77, 16.4, 16.43, 15.9, 15.58, 15.4, 15.29, 15.18, 15.09, 15.29, 15.51, 15.4, 15.15, 15.33, 15.61, 15.34, 15.67, 15.85, 16.23, 16.25, 16.29, 16.11, 16.25, 16.09, 16.29, 16.44, 16.63, 16.51, 16.4, 16.39, 16.29, 16.33, 15.99, 15.97, 15.94, 15.62, 15.82, 15.92, 16.15, 16.17, 16.49, 16.38, 16.15, 16.23, 16.29, 16.47, 16.27, 15.92, 15.76, 15.67, 15.67, 15.92, 16.12, 16.0, 15.79, 15.89, 15.79, 15.72, 15.57, 15.62]. ",external_data_mc/answer_info/answer_info_80.pkl,external_data_mc/executor_variables/executor_variables_80.pkl
81,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 7 stocks' price data for 20 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: XPEL, SPOT, NGVT, SIGI, AQWA, FLJH, NMZ weighted by : [0.002, 0.05, 0.188, 0.237, 0.005, 0.264, 0.255].     Option B: The portfolio contains the following stocks: CRDL, COLL, LKFN, IZEA, QSR, EDOW, ARCH weighted by : [0.094, 0.098, 0.153, 0.19, 0.111, 0.134, 0.22].     Option C: The portfolio contains the following stocks: STAA, DULL, BUFR, PULT, KNDI, IXUS, ADI weighted by : [0.18, 0.107, 0.331, 0.119, 0.078, 0.112, 0.074]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: XPEL, SPOT, NGVT, SIGI, AQWA, FLJH, NMZ weighted by : [0.002, 0.05, 0.188, 0.237, 0.005, 0.264, 0.255]. ', 'Option B: The portfolio contains the following stocks: CRDL, COLL, LKFN, IZEA, QSR, EDOW, ARCH weighted by : [0.094, 0.098, 0.153, 0.19, 0.111, 0.134, 0.22]. ', 'Option C: The portfolio contains the following stocks: STAA, DULL, BUFR, PULT, KNDI, IXUS, ADI weighted by : [0.18, 0.107, 0.331, 0.119, 0.078, 0.112, 0.074]. ']",B,"Option A: The historical stock value data of XPEL for the past 77 days is: [53.85, 51.7, 51.95, 50.72, 51.14, 50.83, 50.15, 50.99, 49.96, 51.54, 51.43, 51.75, 52.01, 53.45, 53.33, 52.76, 53.47, 54.91, 54.97, 54.08, 53.45, 55.3, 52.98, 51.05, 51.77, 52.08, 52.63, 53.75, 54.83, 52.03, 53.12, 56.34, 56.24, 54.38, 55.6, 51.75, 52.98, 54.0, 52.77, 52.12, 52.58, 52.38, 51.83, 50.47, 48.83, 49.94, 50.89, 51.63, 49.88, 49.79, 48.56, 48.67, 48.67, 49.67, 52.5, 53.08, 53.2, 53.8, 54.75, 56.06, 54.02, 55.85, 57.44, 59.1, 58.41, 59.05, 59.01, 59.15, 58.52, 58.7, 57.0, 53.85, 53.46, 52.31, 51.65, 52.94, 53.57]. The historical stock value data of SPOT for the past 77 days is: [188.8, 187.94, 192.58, 193.52, 197.25, 193.02, 196.79, 200.82, 203.03, 203.35, 198.68, 204.82, 204.71, 205.67, 206.71, 211.14, 214.18, 214.29, 218.61, 217.62, 215.35, 218.96, 222.47, 223.25, 231.92, 240.83, 240.01, 240.77, 234.68, 238.0, 244.17, 245.51, 246.25, 243.4, 245.09, 248.12, 256.1, 254.99, 253.02, 252.25, 256.41, 263.75, 270.0, 267.0, 268.03, 270.35, 259.4, 254.45, 258.09, 257.26, 257.13, 254.89, 254.15, 252.76, 261.72, 259.64, 264.95, 261.92, 262.81, 260.2, 263.9, 266.43, 269.58, 291.77, 295.96, 310.31, 309.07, 300.73, 299.99, 303.57, 300.45, 290.52, 298.08, 293.58, 289.2, 275.83, 272.24]. The historical stock value data of NGVT for the past 77 days is: [46.98, 44.03, 43.56, 43.3, 44.08, 43.08, 42.88, 41.84, 41.43, 40.92, 40.04, 40.99, 40.86, 43.44, 44.16, 44.14, 44.53, 45.9, 45.7, 45.06, 43.56, 44.33, 43.8, 42.69, 43.31, 43.33, 44.6, 44.85, 46.32, 44.0, 44.79, 46.75, 47.66, 45.97, 44.97, 47.4, 48.95, 48.11, 46.58, 45.27, 45.68, 45.27, 45.67, 45.14, 45.88, 45.79, 46.0, 46.62, 45.99, 46.46, 44.35, 45.27, 44.51, 44.2, 45.25, 47.77, 47.4, 47.0, 47.11, 48.44, 47.7, 47.39, 46.17, 47.19, 46.45, 46.54, 46.96, 49.17, 47.17, 46.88, 45.27, 44.93, 44.48, 43.79, 43.5, 44.44, 47.87]. The historical stock value data of SIGI for the past 77 days is: [98.98, 99.02, 100.46, 99.7, 99.47, 97.86, 98.51, 99.54, 100.56, 101.51, 102.38, 103.6, 104.21, 105.14, 104.78, 105.87, 104.74, 104.16, 104.53, 105.12, 103.7, 95.73, 98.29, 98.05, 97.54, 95.97, 96.11, 98.97, 101.8, 100.53, 102.95, 104.69, 102.94, 101.47, 99.63, 100.93, 102.0, 102.14, 102.81, 102.87, 103.68, 103.15, 103.95, 102.44, 103.87, 104.24, 103.72, 103.9, 103.49, 103.87, 102.51, 102.04, 101.42, 102.55, 102.4, 103.31, 102.25, 102.89, 104.54, 106.6, 108.34, 106.08, 104.16, 104.22, 103.59, 103.7, 104.5, 102.78, 103.28, 101.37, 100.42, 100.22, 101.1, 99.63, 100.65, 101.71, 101.63]. The historical stock value data of AQWA for the past 77 days is: [16.05, 15.89, 15.84, 15.77, 15.93, 15.82, 15.98, 15.92, 16.0, 15.89, 15.68, 15.72, 15.77, 15.91, 15.84, 15.67, 15.79, 15.8, 15.86, 15.85, 15.72, 15.94, 15.88, 15.59, 15.91, 16.06, 16.19, 16.29, 16.43, 16.19, 16.28, 16.52, 16.53, 16.57, 16.45, 16.59, 16.62, 16.53, 16.67, 16.71, 16.72, 16.85, 16.96, 16.69, 16.84, 16.95, 16.97, 16.92, 16.88, 17.01, 16.92, 16.91, 16.84, 17.09, 17.23, 17.45, 17.35, 17.26, 17.2, 17.34, 17.4, 17.25, 17.18, 17.23, 17.17, 17.15, 17.21, 17.25, 16.91, 16.88, 16.77, 16.65, 16.5, 16.55, 16.67, 16.71, 16.79]. The historical stock value data of FLJH for the past 77 days is: [25.6, 25.64, 25.84, 26.06, 26.32, 26.24, 26.9, 27.04, 27.21, 27.42, 27.22, 27.45, 27.49, 27.8, 27.63, 27.56, 27.45, 27.35, 27.55, 27.5, 27.51, 27.69, 27.91, 27.87, 27.69, 27.93, 28.01, 28.11, 28.26, 28.41, 28.49, 28.65, 28.72, 28.85, 28.83, 29.29, 29.38, 29.4, 29.44, 29.28, 29.31, 29.84, 29.75, 29.82, 30.14, 29.88, 29.64, 29.01, 29.31, 29.11, 29.05, 29.49, 29.91, 30.42, 30.66, 30.92, 30.88, 30.59, 30.71, 30.81, 30.69, 30.36, 30.17, 30.39, 30.07, 30.23, 30.44, 30.51, 30.3, 30.65, 30.27, 30.35, 30.03, 29.66, 29.64, 29.45, 29.8]. The historical stock value data of NMZ for the past 77 days is: [9.49, 9.5, 9.44, 9.41, 9.5, 9.47, 9.47, 9.42, 9.42, 9.33, 9.29, 9.21, 9.21, 9.25, 9.21, 9.22, 9.27, 9.37, 9.48, 9.51, 9.57, 9.67, 9.62, 9.51, 9.57, 9.6, 9.63, 9.66, 9.77, 9.7, 9.81, 9.92, 9.89, 9.89, 9.91, 9.95, 10.02, 9.93, 9.87, 9.96, 10.03, 10.15, 10.13, 10.19, 10.2, 10.23, 10.21, 10.17, 10.08, 10.08, 10.03, 10.13, 10.2, 10.21, 10.2, 10.19, 10.22, 10.17, 10.22, 10.26, 10.22, 10.11, 10.1, 10.1, 10.09, 10.11, 10.14, 10.14, 10.07, 10.08, 10.1, 9.96, 10.0, 10.0, 9.93, 9.9, 9.88]. 
Option B: The historical stock value data of CRDL for the past 77 days is: [0.88, 0.88, 0.89, 0.9, 1.0, 1.04, 1.03, 1.03, 1.04, 1.04, 1.02, 1.06, 1.07, 1.13, 1.12, 1.06, 1.11, 1.27, 1.37, 1.39, 1.22, 1.19, 1.12, 1.21, 1.19, 1.21, 1.08, 1.06, 1.03, 1.02, 1.04, 1.48, 1.43, 1.67, 1.47, 1.52, 1.62, 1.76, 1.72, 1.85, 2.06, 1.96, 1.76, 1.78, 1.57, 1.63, 1.5, 1.39, 1.46, 1.48, 1.42, 1.52, 1.5, 1.52, 1.55, 1.53, 1.48, 1.46, 1.82, 1.8, 1.81, 1.92, 1.81, 1.84, 2.04, 1.9, 1.88, 1.92, 1.87, 1.96, 1.86, 1.79, 1.72, 1.75, 1.67, 1.77, 1.76]. The historical stock value data of COLL for the past 77 days is: [31.23, 33.86, 32.33, 32.3, 31.74, 32.28, 32.63, 32.61, 32.51, 32.35, 32.74, 32.87, 32.99, 33.51, 32.96, 33.14, 33.49, 33.18, 33.89, 33.45, 32.96, 33.47, 32.84, 33.09, 33.24, 33.21, 33.34, 33.48, 33.7, 32.19, 32.88, 33.95, 32.58, 32.08, 31.76, 32.81, 36.35, 36.56, 36.79, 36.57, 36.71, 37.13, 37.03, 36.31, 36.68, 37.2, 37.6, 37.5, 37.4, 38.3, 38.03, 39.09, 39.35, 37.96, 38.79, 39.66, 39.72, 40.16, 39.93, 40.91, 38.82, 38.88, 38.4, 39.45, 39.3, 39.99, 39.42, 38.79, 37.99, 36.39, 35.71, 35.14, 35.4, 35.45, 34.77, 34.84, 34.74]. The historical stock value data of LKFN for the past 77 days is: [63.55, 61.59, 61.78, 61.85, 62.28, 61.65, 62.28, 61.83, 61.38, 60.31, 59.98, 60.58, 62.19, 64.01, 62.77, 62.4, 68.15, 71.23, 71.9, 70.76, 65.99, 64.91, 64.44, 63.92, 63.11, 62.75, 64.11, 65.1, 66.14, 62.64, 63.33, 65.57, 64.67, 63.15, 62.91, 62.35, 62.7, 61.69, 61.27, 61.19, 62.78, 62.49, 63.99, 65.63, 65.63, 65.67, 65.62, 65.35, 64.81, 63.72, 61.87, 61.52, 60.6, 60.49, 62.78, 63.32, 62.31, 62.75, 61.87, 64.41, 65.36, 63.63, 62.43, 61.25, 60.74, 59.87, 60.52, 60.78, 57.36, 57.68, 57.63, 58.42, 58.48, 57.83, 58.26, 60.76, 60.48]. The historical stock value data of IZEA for the past 77 days is: [2.02, 2.04, 2.03, 1.99, 2.02, 1.95, 1.97, 1.97, 2.05, 2.01, 2.04, 2.05, 2.05, 2.05, 2.05, 2.06, 2.05, 2.04, 2.04, 2.05, 2.01, 2.07, 2.05, 2.06, 2.06, 1.96, 1.94, 1.98, 1.98, 1.91, 2.0, 2.02, 1.99, 2.04, 1.91, 1.99, 2.03, 2.05, 2.01, 2.04, 2.0, 2.01, 1.94, 1.97, 1.97, 1.95, 1.96, 1.93, 2.0, 2.05, 2.06, 2.03, 2.05, 2.07, 2.05, 2.1, 2.15, 2.25, 2.25, 2.34, 2.31, 2.18, 2.39, 2.4, 2.39, 2.4, 2.37, 2.33, 2.3, 2.39, 2.41, 2.56, 2.5, 2.53, 2.59, 2.57, 2.5]. The historical stock value data of QSR for the past 77 days is: [75.67, 75.21, 75.14, 75.24, 76.95, 76.7, 77.41, 76.98, 77.23, 74.65, 74.63, 75.55, 75.69, 74.4, 74.88, 74.97, 75.65, 75.69, 77.51, 77.47, 76.87, 78.17, 78.08, 76.22, 75.15, 75.65, 75.99, 75.82, 77.05, 73.6, 75.33, 74.84, 75.99, 75.15, 74.54, 74.21, 74.95, 75.19, 74.33, 75.28, 76.44, 76.5, 76.85, 77.9, 79.98, 79.37, 78.46, 79.07, 80.6, 81.47, 80.27, 77.78, 79.33, 79.64, 80.16, 79.72, 78.59, 78.01, 77.99, 78.44, 78.78, 77.79, 77.27, 76.04, 73.94, 73.92, 73.74, 73.62, 71.87, 71.6, 70.67, 69.94, 70.22, 70.13, 70.76, 70.82, 72.68]. The historical stock value data of EDOW for the past 77 days is: [32.37, 32.14, 32.08, 32.21, 32.34, 32.19, 32.25, 32.22, 32.23, 31.99, 31.84, 32.03, 32.37, 32.52, 32.49, 32.29, 32.78, 32.69, 32.81, 32.92, 32.61, 32.94, 32.94, 32.71, 32.9, 32.95, 33.06, 33.03, 33.16, 32.76, 32.84, 33.23, 33.03, 33.06, 33.08, 33.33, 33.4, 33.38, 33.4, 33.37, 33.44, 33.49, 33.5, 33.22, 33.26, 33.42, 33.36, 33.42, 33.68, 33.69, 33.49, 33.35, 33.43, 33.68, 33.94, 34.1, 33.85, 33.76, 33.75, 34.18, 34.28, 34.16, 33.91, 33.76, 33.36, 33.53, 33.51, 33.5, 33.25, 33.3, 32.8, 32.63, 32.65, 32.55, 32.55, 32.72, 32.89]. The historical stock value data of ARCH for the past 77 days is: [164.88, 166.06, 170.96, 172.2, 170.51, 172.42, 166.24, 165.84, 167.47, 163.53, 165.61, 174.75, 182.41, 180.08, 180.14, 178.29, 173.29, 175.18, 175.43, 176.09, 173.77, 174.63, 171.89, 167.77, 164.07, 162.87, 167.93, 165.64, 168.19, 167.0, 170.43, 163.67, 157.11, 155.28, 159.88, 166.19, 164.66, 166.49, 166.68, 160.67, 163.91, 167.59, 176.69, 177.45, 182.89, 183.05, 182.96, 174.92, 167.16, 166.32, 160.67, 159.65, 159.56, 162.8, 162.37, 163.51, 161.32, 161.75, 156.81, 160.97, 159.44, 158.06, 155.91, 156.33, 151.83, 151.26, 152.38, 155.0, 155.76, 157.05, 155.57, 156.58, 164.53, 162.93, 161.46, 161.81, 160.04]. 
Option C: The historical stock value data of STAA for the past 77 days is: [29.73, 29.2, 28.96, 28.46, 31.74, 34.0, 33.32, 32.96, 31.7, 30.07, 29.48, 29.89, 29.03, 29.71, 30.51, 30.0, 29.67, 29.57, 30.7, 29.13, 28.01, 28.7, 27.82, 27.67, 31.02, 29.66, 30.35, 30.16, 31.34, 29.49, 29.89, 31.27, 30.85, 30.79, 30.39, 30.5, 30.67, 31.75, 32.68, 31.56, 31.24, 33.31, 34.5, 33.28, 35.5, 35.11, 35.86, 38.78, 37.64, 38.15, 38.03, 37.72, 38.41, 38.57, 39.61, 38.98, 36.93, 37.18, 36.0, 37.7, 38.28, 39.04, 39.55, 39.07, 45.51, 48.68, 49.49, 52.25, 51.08, 51.6, 49.79, 46.22, 46.62, 46.34, 46.77, 46.39, 46.55]. The historical stock value data of DULL for the past 77 days is: [18.05, 18.5, 18.45, 18.45, 18.93, 18.9, 19.07, 18.93, 18.41, 18.93, 19.57, 19.1, 18.94, 19.16, 18.95, 19.42, 19.22, 19.25, 18.88, 18.78, 18.82, 18.26, 18.76, 19.09, 18.81, 18.84, 18.9, 19.12, 19.28, 20.08, 20.12, 19.74, 19.51, 19.19, 19.18, 19.2, 18.87, 19.01, 19.07, 18.97, 18.7, 17.61, 16.79, 16.5, 16.1, 15.84, 15.43, 15.37, 15.89, 15.56, 15.76, 15.91, 15.85, 15.9, 15.35, 15.41, 15.77, 15.63, 15.49, 15.17, 14.6, 14.2, 13.53, 13.19, 13.41, 12.74, 12.5, 12.3, 12.63, 11.93, 12.37, 11.72, 11.67, 11.92, 11.82, 11.71, 12.58]. The historical stock value data of BUFR for the past 77 days is: [26.49, 26.31, 26.3, 26.36, 26.58, 26.52, 26.65, 26.65, 26.62, 26.56, 26.52, 26.66, 26.85, 26.89, 26.94, 26.95, 27.02, 27.01, 27.11, 27.1, 26.87, 27.05, 27.18, 27.14, 27.19, 27.29, 27.29, 27.3, 27.34, 27.17, 27.31, 27.35, 27.31, 27.26, 27.27, 27.5, 27.52, 27.5, 27.52, 27.52, 27.55, 27.65, 27.64, 27.53, 27.58, 27.67, 27.62, 27.59, 27.73, 27.72, 27.7, 27.65, 27.7, 27.79, 27.89, 27.9, 27.91, 27.89, 27.89, 27.96, 27.96, 27.91, 27.89, 27.89, 27.75, 27.86, 27.9, 27.92, 27.8, 27.89, 27.72, 27.56, 27.54, 27.47, 27.45, 27.33, 27.5]. The historical stock value data of PULT for the past 77 days is: [48.42, 48.45, 48.43, 48.38, 48.41, 48.44, 48.46, 48.48, 48.53, 48.52, 48.51, 48.52, 48.52, 48.53, 48.56, 48.58, 48.58, 48.61, 48.6, 48.62, 48.64, 48.67, 48.63, 48.62, 48.65, 48.67, 48.68, 48.67, 48.67, 48.68, 48.72, 48.74, 48.74, 48.74, 48.75, 48.76, 48.82, 48.82, 48.83, 48.84, 48.84, 48.86, 48.88, 48.88, 48.91, 48.96, 48.96, 48.98, 48.99, 48.98, 48.98, 48.98, 49.0, 49.04, 49.04, 49.06, 49.08, 49.07, 49.09, 49.12, 49.16, 49.16, 49.19, 49.2, 49.21, 49.22, 49.22, 49.22, 49.22, 49.2, 49.22, 49.22, 49.24, 49.23, 49.25, 49.25, 49.28]. The historical stock value data of KNDI for the past 77 days is: [2.82, 2.8, 2.84, 2.89, 2.91, 2.98, 3.01, 2.92, 2.81, 2.67, 2.66, 2.58, 2.51, 2.56, 2.73, 2.73, 2.66, 2.72, 2.84, 2.79, 2.7, 2.71, 2.68, 2.61, 2.64, 2.57, 2.71, 2.67, 2.67, 2.61, 2.61, 2.64, 2.68, 2.67, 2.67, 2.64, 2.6, 2.52, 2.51, 2.54, 2.52, 2.46, 2.4, 2.36, 2.42, 2.37, 2.35, 2.42, 2.42, 2.46, 2.4, 2.3, 2.29, 2.24, 2.23, 2.13, 2.14, 2.12, 2.08, 2.07, 2.12, 2.18, 2.13, 2.12, 2.09, 2.05, 2.05, 2.1, 2.08, 2.07, 2.09, 2.16, 2.22, 2.4, 2.63, 2.55, 2.5]. The historical stock value data of IXUS for the past 77 days is: [63.2, 62.81, 62.87, 62.92, 63.46, 62.85, 63.06, 63.09, 63.32, 62.17, 61.47, 61.98, 62.3, 62.25, 62.29, 62.77, 62.94, 63.13, 63.43, 63.22, 62.88, 63.5, 63.08, 62.77, 63.44, 63.47, 63.3, 63.54, 63.75, 62.6, 63.43, 64.04, 64.17, 64.35, 64.41, 65.05, 65.07, 64.94, 65.07, 64.57, 64.74, 65.48, 65.31, 65.06, 65.87, 66.54, 66.35, 66.17, 66.68, 66.59, 66.21, 66.09, 66.14, 66.11, 66.84, 66.86, 66.57, 66.51, 66.54, 66.92, 66.86, 66.7, 66.43, 66.76, 66.31, 66.55, 66.89, 67.05, 66.11, 66.34, 65.15, 64.85, 64.17, 64.19, 64.21, 64.14, 64.83]. The historical stock value data of ADI for the past 77 days is: [191.16, 186.59, 183.74, 184.21, 186.61, 187.38, 186.01, 186.59, 186.0, 185.44, 183.11, 187.59, 192.33, 194.84, 198.85, 195.82, 194.83, 191.5, 194.73, 192.3, 189.95, 189.61, 189.7, 190.15, 187.34, 189.57, 191.63, 192.58, 191.62, 182.38, 183.99, 185.19, 185.88, 187.03, 191.3, 189.51, 187.73, 186.64, 186.7, 185.41, 189.42, 193.7, 193.13, 188.31, 190.19, 196.68, 194.4, 196.65, 197.63, 197.04, 192.9, 193.66, 189.72, 189.04, 192.79, 193.62, 191.99, 189.13, 187.47, 191.81, 196.23, 195.07, 193.35, 193.82, 190.44, 193.23, 195.14, 202.51, 194.79, 197.08, 190.76, 188.79, 189.73, 187.94, 186.1, 181.92, 184.84]. ",external_data_mc/answer_info/answer_info_81.pkl,external_data_mc/executor_variables/executor_variables_81.pkl
82,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 9 stocks' price data for 13 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: EZA, NOMD, PEO, TREX, ETW, ZEUS, FSS, MLPX, CARM weighted by : [0.039, 0.015, 0.157, 0.024, 0.064, 0.196, 0.164, 0.139, 0.2].     Option B: The portfolio contains the following stocks: ODD, BZUN, RWM, RYAM, SCPH, RIGL, SHOP, SOBR, CNFR weighted by : [0.239, 0.013, 0.184, 0.189, 0.003, 0.036, 0.22, 0.106, 0.01].     Option C: The portfolio contains the following stocks: RING, SPB, LFUS, JMUB, BCH, USFR, TWO, CIG, OVID weighted by : [0.157, 0.11, 0.028, 0.145, 0.082, 0.024, 0.171, 0.148, 0.135]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: EZA, NOMD, PEO, TREX, ETW, ZEUS, FSS, MLPX, CARM weighted by : [0.039, 0.015, 0.157, 0.024, 0.064, 0.196, 0.164, 0.139, 0.2]. ', 'Option B: The portfolio contains the following stocks: ODD, BZUN, RWM, RYAM, SCPH, RIGL, SHOP, SOBR, CNFR weighted by : [0.239, 0.013, 0.184, 0.189, 0.003, 0.036, 0.22, 0.106, 0.01]. ', 'Option C: The portfolio contains the following stocks: RING, SPB, LFUS, JMUB, BCH, USFR, TWO, CIG, OVID weighted by : [0.157, 0.11, 0.028, 0.145, 0.082, 0.024, 0.171, 0.148, 0.135]. ']",B,"Option A: The historical stock value data of EZA for the past 14 hours is: [46.23, 46.38, 46.33, 46.26, 45.7, 45.56, 45.37, 45.48, 45.41, 45.42, 45.38, 45.69, 45.35, 45.61]. The historical stock value data of NOMD for the past 14 hours is: [19.68, 19.76, 19.78, 19.78, 19.36, 19.25, 19.2, 19.2, 19.22, 19.07, 19.01, 19.17, 19.28, 19.25]. The historical stock value data of PEO for the past 14 hours is: [22.42, 22.41, 22.4, 22.37, 22.34, 22.25, 22.27, 22.22, 22.21, 22.22, 22.2, 22.29, 22.38, 22.38]. The historical stock value data of TREX for the past 14 hours is: [60.83, 60.99, 60.84, 60.85, 61.51, 61.12, 61.42, 61.42, 61.34, 61.88, 61.76, 62.81, 63.1, 63.2]. The historical stock value data of ETW for the past 14 hours is: [8.23, 8.25, 8.22, 8.23, 8.2, 8.17, 8.15, 8.15, 8.12, 8.14, 8.12, 8.16, 8.12, 8.18]. The historical stock value data of ZEUS for the past 14 hours is: [37.31, 37.93, 37.69, 37.8, 36.97, 36.73, 36.7, 37.47, 37.15, 37.26, 37.39, 37.03, 36.7, 36.5]. The historical stock value data of FSS for the past 14 hours is: [85.57, 85.75, 85.62, 85.01, 84.06, 83.92, 83.79, 83.75, 83.21, 83.29, 83.27, 83.45, 83.6, 83.5]. The historical stock value data of MLPX for the past 14 hours is: [53.72, 53.77, 53.77, 53.76, 53.64, 53.28, 53.1, 53.28, 53.12, 53.28, 53.29, 53.36, 53.25, 53.43]. The historical stock value data of CARM for the past 14 hours is: [1.0, 1.0, 1.0, 1.0, 1.0, 0.99, 0.98, 0.98, 1.0, 0.99, 0.99, 1.03, 1.03, 0.98]. 
Option B: The historical stock value data of ODD for the past 14 hours is: [35.53, 35.87, 35.31, 34.96, 34.53, 34.11, 33.64, 33.87, 34.23, 34.43, 33.8, 33.9, 33.53, 33.74]. The historical stock value data of BZUN for the past 14 hours is: [2.29, 2.3, 2.29, 2.28, 2.28, 2.27, 2.27, 2.31, 2.33, 2.34, 2.29, 2.33, 2.28, 2.3]. The historical stock value data of RWM for the past 14 hours is: [20.04, 19.97, 20.0, 20.01, 20.28, 20.4, 20.44, 20.33, 20.4, 20.34, 20.39, 20.26, 20.29, 20.21]. The historical stock value data of RYAM for the past 14 hours is: [7.49, 7.54, 7.61, 7.65, 7.59, 7.56, 7.53, 7.58, 7.46, 7.53, 7.46, 7.52, 7.46, 7.52]. The historical stock value data of SCPH for the past 14 hours is: [5.04, 5.07, 5.18, 5.19, 5.04, 5.02, 5.02, 5.05, 5.05, 5.05, 5.11, 5.17, 5.1, 5.09]. The historical stock value data of RIGL for the past 14 hours is: [13.26, 13.25, 13.25, 13.41, 13.13, 13.1, 12.94, 13.24, 13.22, 13.18, 13.33, 13.67, 13.53, 13.68]. The historical stock value data of SHOP for the past 14 hours is: [69.91, 70.42, 70.04, 70.1, 68.12, 66.66, 66.14, 66.72, 66.75, 67.15, 67.01, 68.64, 67.5, 68.26]. The historical stock value data of SOBR for the past 14 hours is: [0.11, 0.11, 0.11, 0.11, 0.11, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]. The historical stock value data of CNFR for the past 14 hours is: [1.7, 1.9, 1.79, 1.88, 1.63, 1.64, 1.64, 1.61, 1.59, 1.49, 1.56, 1.52, 1.47, 1.4]. 
Option C: The historical stock value data of RING for the past 14 hours is: [31.27, 31.27, 31.2, 31.07, 30.55, 30.58, 30.23, 30.35, 30.31, 30.33, 30.26, 30.53, 30.49, 30.63]. The historical stock value data of SPB for the past 14 hours is: [92.75, 93.29, 93.88, 94.16, 92.75, 92.22, 92.08, 92.32, 92.69, 92.94, 92.07, 90.61, 90.42, 90.58]. The historical stock value data of LFUS for the past 14 hours is: [257.62, 257.68, 257.52, 255.66, 253.49, 252.87, 252.38, 253.51, 251.18, 252.47, 251.02, 252.75, 248.87, 250.52]. The historical stock value data of JMUB for the past 14 hours is: [50.99, 50.99, 51.01, 51.0, 51.06, 51.04, 51.01, 51.06, 51.07, 51.08, 51.09, 51.09, 51.08, 51.08]. The historical stock value data of BCH for the past 14 hours is: [24.89, 24.93, 25.01, 25.01, 24.77, 24.5, 24.59, 24.58, 24.57, 24.43, 24.41, 24.5, 24.43, 24.5]. The historical stock value data of USFR for the past 14 hours is: [50.27, 50.28, 50.28, 50.28, 50.3, 50.29, 50.29, 50.29, 50.29, 50.3, 50.29, 50.29, 50.29, 50.3]. The historical stock value data of TWO for the past 14 hours is: [13.9, 13.91, 13.9, 13.86, 13.83, 13.76, 13.74, 13.8, 13.81, 13.84, 13.77, 13.73, 13.72, 13.74]. The historical stock value data of CIG for the past 14 hours is: [2.1, 2.1, 2.11, 2.12, 2.12, 2.12, 2.12, 2.11, 2.12, 2.11, 2.1, 2.12, 2.11, 2.11]. The historical stock value data of OVID for the past 14 hours is: [1.11, 1.11, 1.12, 1.14, 1.04, 0.99, 1.02, 1.04, 1.04, 1.03, 1.02, 1.02, 1.07, 1.08]. ",external_data_mc/answer_info/answer_info_82.pkl,external_data_mc/executor_variables/executor_variables_82.pkl
83,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 13 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: ZEPP, ESQ, IWLG, RNSC weighted by : [0.386, 0.162, 0.103, 0.348].     Option B: The portfolio contains the following stocks: EMB, LNN, ABG, IWS weighted by : [0.062, 0.411, 0.278, 0.249].     Option C: The portfolio contains the following stocks: SKX, EPM, AIFF, CKPT weighted by : [0.346, 0.203, 0.268, 0.182]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ZEPP, ESQ, IWLG, RNSC weighted by : [0.386, 0.162, 0.103, 0.348]. ', 'Option B: The portfolio contains the following stocks: EMB, LNN, ABG, IWS weighted by : [0.062, 0.411, 0.278, 0.249]. ', 'Option C: The portfolio contains the following stocks: SKX, EPM, AIFF, CKPT weighted by : [0.346, 0.203, 0.268, 0.182]. ']",C,"Option A: The historical stock value data of ZEPP for the past 99 days is: [6.0, 5.68, 5.76, 5.56, 5.76, 5.88, 6.24, 6.32, 7.84, 7.2, 6.4, 6.4, 6.08, 6.2, 6.4, 6.08, 6.4, 6.08, 5.6, 5.6, 5.2, 5.0, 4.88, 4.84, 4.76, 4.72, 4.92, 4.88, 4.72, 4.92, 5.52, 5.28, 5.44, 5.28, 5.2, 4.76, 5.0, 5.04, 4.72, 4.76, 4.96, 4.84, 4.52, 4.92, 4.72, 4.68, 4.68, 4.64, 4.64, 4.52, 4.76, 4.82, 4.6, 4.68, 4.88, 4.28, 4.2, 4.2, 3.88, 3.65, 3.68, 4.12, 4.08, 4.04, 4.04, 3.88, 3.9, 3.8, 3.88, 3.8, 3.64, 3.68, 3.6, 3.59, 3.4, 3.3, 3.3, 3.34, 3.36, 3.4, 3.4, 3.36, 3.41, 3.48, 3.36, 3.4, 3.62, 3.48, 3.61, 3.54, 3.36, 3.53, 3.45, 3.46, 3.54, 3.44, 3.44, 3.56, 3.74]. The historical stock value data of ESQ for the past 99 days is: [50.69, 49.52, 49.76, 48.21, 48.03, 47.67, 48.1, 46.84, 46.9, 46.84, 46.53, 47.59, 47.2, 47.37, 48.17, 49.05, 48.87, 48.83, 49.65, 52.19, 53.73, 53.26, 49.42, 49.81, 49.73, 48.88, 48.87, 47.05, 46.85, 47.06, 48.59, 47.33, 49.09, 50.22, 49.47, 49.47, 49.32, 48.98, 49.59, 49.41, 49.58, 50.18, 50.49, 49.88, 49.41, 49.55, 50.12, 48.97, 49.37, 48.71, 48.41, 48.12, 47.46, 47.08, 46.23, 46.25, 48.77, 48.16, 47.36, 46.7, 45.71, 46.75, 47.2, 47.46, 45.4, 45.54, 46.34, 46.15, 47.06, 47.29, 45.49, 45.05, 45.79, 45.04, 44.55, 44.34, 44.75, 46.33, 46.29, 46.54, 46.68, 47.13, 48.84, 46.77, 46.79, 47.35, 47.94, 48.23, 49.48, 49.58, 49.98, 50.02, 49.45, 48.7, 48.85, 48.97, 48.65, 48.6, 47.71]. The historical stock value data of IWLG for the past 99 days is: [36.53, 36.41, 35.75, 35.49, 35.33, 35.37, 36.08, 36.19, 36.63, 36.83, 36.86, 36.79, 36.71, 37.23, 37.82, 37.97, 38.05, 38.34, 38.43, 38.4, 38.91, 38.81, 38.06, 38.59, 39.53, 39.55, 39.44, 40.01, 40.04, 40.56, 40.2, 39.64, 40.23, 40.25, 39.96, 39.46, 39.46, 40.83, 40.79, 40.7, 40.62, 40.43, 40.74, 41.24, 41.1, 40.31, 40.52, 41.23, 40.76, 40.4, 41.22, 40.99, 41.07, 40.4, 40.77, 41.07, 41.49, 41.75, 41.77, 41.55, 41.44, 41.4, 41.37, 41.39, 41.09, 41.26, 40.69, 41.48, 41.39, 41.31, 41.21, 41.76, 41.1, 40.36, 40.57, 40.08, 39.77, 38.83, 39.18, 39.95, 39.79, 39.43, 40.25, 40.04, 39.38, 39.25, 39.63, 40.35, 40.89, 40.97, 40.93, 41.04, 41.12, 40.95, 41.25, 42.08, 41.78, 41.8, 41.98]. The historical stock value data of RNSC for the past 99 days is: [28.74, 28.41, 28.41, 27.68, 27.69, 27.6, 27.97, 27.64, 27.68, 27.49, 27.45, 27.15, 26.99, 27.21, 27.45, 27.97, 27.84, 27.65, 27.96, 27.97, 28.25, 28.26, 27.44, 27.79, 27.53, 27.13, 27.39, 27.24, 27.56, 27.8, 28.22, 27.06, 27.52, 28.21, 28.03, 27.74, 27.75, 27.74, 27.84, 27.77, 27.88, 27.76, 28.13, 28.04, 27.96, 27.94, 27.94, 28.05, 28.02, 27.96, 27.84, 27.85, 27.41, 27.54, 27.37, 27.56, 27.91, 28.29, 27.96, 27.95, 27.93, 28.53, 28.64, 28.35, 27.84, 27.91, 27.78, 27.81, 28.09, 28.23, 27.39, 27.48, 27.09, 26.9, 26.79, 26.56, 26.62, 27.0, 27.12, 27.49, 27.46, 27.04, 27.2, 27.29, 26.86, 26.92, 27.28, 27.44, 27.63, 27.68, 27.67, 28.05, 27.96, 28.06, 28.29, 28.44, 28.39, 28.39, 28.24]. 
Option B: The historical stock value data of EMB for the past 99 days is: [86.48, 86.12, 85.27, 84.94, 84.56, 84.29, 84.4, 84.07, 84.67, 85.44, 85.59, 84.8, 84.48, 84.57, 84.6, 84.66, 84.23, 84.0, 84.59, 84.72, 85.04, 85.23, 85.08, 85.79, 85.1, 84.39, 85.15, 85.04, 84.93, 84.96, 85.04, 83.99, 84.56, 85.25, 84.67, 84.66, 84.59, 85.12, 85.6, 85.36, 85.28, 85.45, 85.75, 86.25, 86.17, 86.36, 86.68, 86.91, 87.01, 86.87, 86.76, 86.84, 86.4, 86.13, 86.18, 86.58, 86.99, 87.29, 87.58, 87.51, 87.5, 87.86, 87.46, 87.08, 87.12, 87.31, 87.27, 87.41, 87.43, 88.02, 86.63, 86.38, 86.13, 85.13, 84.87, 85.53, 85.47, 85.71, 86.17, 86.29, 85.67, 85.43, 85.8, 86.22, 85.35, 85.7, 86.4, 87.11, 87.36, 87.42, 87.1, 87.4, 87.19, 87.28, 87.47, 88.39, 88.09, 87.93, 87.94]. The historical stock value data of LNN for the past 99 days is: [129.52, 128.03, 126.58, 121.72, 130.1, 131.84, 131.72, 131.03, 130.71, 129.8, 128.15, 128.54, 125.72, 128.49, 128.49, 130.18, 131.33, 128.37, 131.59, 132.19, 132.38, 132.91, 128.98, 131.01, 130.55, 126.97, 127.65, 127.69, 127.56, 129.37, 130.71, 123.81, 125.4, 124.98, 122.71, 122.06, 122.25, 118.59, 121.1, 119.87, 118.91, 120.68, 118.6, 119.78, 119.77, 120.38, 119.21, 122.0, 114.29, 115.37, 113.31, 115.37, 112.64, 114.37, 111.54, 112.61, 112.73, 113.03, 112.61, 114.69, 116.66, 117.41, 116.96, 114.94, 114.11, 114.67, 113.81, 115.56, 119.09, 117.91, 114.42, 114.54, 113.85, 114.06, 113.49, 112.14, 115.82, 116.67, 116.13, 118.25, 115.68, 116.7, 115.55, 116.63, 115.46, 116.47, 119.17, 117.59, 118.01, 118.07, 117.65, 119.41, 119.02, 118.2, 118.87, 117.24, 117.62, 116.7, 115.69]. The historical stock value data of ABG for the past 99 days is: [227.48, 224.97, 222.84, 208.67, 207.0, 205.54, 208.75, 209.05, 210.44, 209.5, 202.23, 202.59, 202.54, 203.4, 204.46, 207.57, 207.75, 205.07, 211.59, 213.92, 219.68, 218.36, 209.06, 213.67, 213.27, 210.8, 209.8, 210.74, 206.79, 215.92, 222.4, 218.35, 221.01, 221.34, 216.89, 208.18, 208.79, 211.91, 214.62, 211.13, 212.0, 208.29, 208.83, 209.8, 205.5, 205.27, 206.42, 210.15, 209.7, 210.52, 210.87, 210.43, 204.7, 210.0, 208.27, 209.21, 218.61, 224.59, 224.01, 222.63, 225.54, 233.73, 235.78, 234.35, 226.36, 225.64, 222.56, 224.06, 224.82, 229.98, 220.04, 220.38, 217.51, 215.12, 216.4, 211.87, 211.49, 215.12, 216.86, 222.19, 221.54, 217.12, 221.97, 218.47, 210.24, 210.64, 208.45, 213.75, 221.6, 219.3, 221.69, 226.28, 224.82, 234.85, 242.99, 239.73, 243.88, 241.13, 239.01]. The historical stock value data of IWS for the past 99 days is: [116.34, 115.56, 115.32, 113.3, 113.23, 113.65, 114.91, 114.2, 114.35, 113.86, 113.7, 112.82, 111.72, 112.28, 113.25, 114.1, 113.94, 113.14, 114.34, 114.42, 115.28, 115.08, 113.45, 114.92, 114.66, 113.37, 114.14, 114.6, 115.1, 115.4, 116.36, 113.96, 115.38, 117.05, 116.36, 115.98, 116.27, 117.34, 117.75, 117.35, 118.08, 118.12, 118.82, 119.62, 120.07, 119.4, 120.17, 121.22, 120.94, 120.95, 121.25, 121.35, 120.02, 120.16, 120.23, 120.89, 122.37, 123.42, 122.46, 122.47, 122.44, 124.49, 124.93, 124.0, 122.89, 123.44, 122.06, 123.01, 123.57, 123.85, 121.51, 121.34, 119.51, 118.19, 117.37, 117.03, 116.93, 117.27, 118.42, 119.48, 119.59, 119.41, 119.61, 120.37, 118.48, 118.39, 119.36, 120.31, 121.65, 121.85, 121.83, 123.11, 122.99, 122.91, 123.64, 124.73, 123.85, 124.11, 124.19]. 
Option C: The historical stock value data of SKX for the past 99 days is: [62.56, 62.34, 62.13, 60.95, 60.33, 60.4, 62.87, 62.54, 62.96, 63.62, 63.2, 62.87, 63.09, 64.07, 64.82, 63.54, 62.11, 61.3, 61.9, 62.88, 63.84, 63.84, 62.44, 63.6, 57.04, 58.17, 57.73, 57.05, 57.97, 58.91, 59.34, 59.06, 59.63, 60.33, 59.66, 58.13, 58.77, 59.38, 60.2, 60.5, 60.9, 61.72, 61.81, 62.33, 60.44, 60.64, 60.81, 61.14, 60.05, 60.26, 61.25, 62.2, 61.42, 60.91, 60.18, 60.54, 61.01, 61.54, 60.83, 59.99, 60.01, 60.86, 61.26, 61.32, 58.87, 58.53, 58.08, 58.0, 58.25, 58.15, 57.2, 57.12, 56.17, 56.48, 57.39, 56.52, 56.86, 56.41, 58.01, 59.64, 59.15, 58.82, 65.41, 66.19, 66.05, 65.46, 66.07, 67.1, 66.79, 66.4, 66.98, 68.07, 67.78, 68.24, 69.0, 69.37, 68.25, 68.42, 68.24]. The historical stock value data of EPM for the past 99 days is: [5.59, 5.57, 5.55, 5.6, 5.65, 5.49, 5.42, 5.32, 5.54, 5.71, 5.76, 5.61, 5.5, 5.48, 5.45, 5.6, 5.52, 5.47, 5.54, 5.44, 5.51, 5.54, 5.38, 5.17, 5.08, 4.95, 4.89, 5.07, 5.29, 5.27, 5.31, 5.08, 5.13, 5.48, 5.4, 5.27, 5.45, 5.43, 5.48, 5.43, 5.52, 5.46, 5.62, 5.59, 5.53, 5.66, 5.53, 5.6, 5.66, 5.73, 5.68, 5.79, 5.76, 5.87, 5.81, 5.89, 5.94, 5.96, 5.82, 5.86, 5.73, 5.91, 6.01, 5.98, 6.11, 6.11, 5.82, 5.97, 5.94, 5.91, 5.83, 5.81, 5.64, 5.76, 5.68, 5.49, 5.51, 5.61, 5.62, 5.59, 5.63, 5.65, 5.66, 5.74, 5.28, 5.29, 5.41, 5.41, 5.42, 5.37, 5.52, 5.52, 5.43, 5.11, 5.36, 5.31, 5.32, 5.47, 5.46]. The historical stock value data of AIFF for the past 99 days is: [4.47, 5.07, 4.98, 5.16, 5.16, 5.19, 5.46, 5.25, 5.37, 5.97, 5.13, 4.68, 4.77, 4.86, 4.77, 4.47, 4.8, 4.83, 4.5, 4.71, 4.83, 4.86, 6.09, 8.25, 7.35, 5.1, 6.21, 6.48, 6.45, 6.63, 8.22, 7.32, 8.01, 7.71, 7.77, 6.54, 5.67, 5.79, 5.88, 5.28, 5.67, 5.82, 6.36, 6.21, 5.91, 6.24, 6.09, 6.99, 6.96, 8.43, 8.88, 8.46, 8.85, 9.21, 10.17, 10.02, 8.64, 9.06, 10.11, 9.66, 9.81, 10.8, 10.38, 10.23, 10.56, 9.48, 8.7, 8.61, 8.49, 7.98, 7.47, 7.11, 6.36, 6.72, 6.12, 6.09, 6.39, 5.82, 5.73, 5.85, 5.73, 6.54, 6.9, 7.5, 8.31, 7.83, 7.26, 7.11, 7.29, 7.26, 9.45, 8.82, 8.94, 10.11, 8.94, 7.68, 8.73, 8.4, 8.34]. The historical stock value data of CKPT for the past 99 days is: [2.26, 2.29, 2.19, 2.24, 2.44, 2.39, 2.19, 2.1, 1.91, 1.89, 1.94, 1.88, 1.86, 1.82, 1.84, 1.84, 1.75, 1.68, 1.71, 1.68, 1.99, 1.9, 2.04, 1.96, 1.92, 1.85, 2.0, 1.93, 1.99, 2.0, 1.99, 1.9, 1.99, 2.01, 2.01, 1.98, 1.92, 1.88, 1.96, 2.04, 2.14, 2.05, 2.09, 2.23, 2.32, 2.23, 2.21, 2.17, 2.13, 2.15, 2.0, 1.95, 1.85, 1.92, 1.89, 1.85, 1.88, 1.9, 1.94, 2.0, 2.07, 2.04, 2.05, 2.02, 1.92, 1.92, 1.87, 1.83, 1.82, 1.83, 1.78, 1.83, 1.78, 1.72, 1.69, 1.67, 1.6, 1.46, 1.45, 1.43, 1.44, 1.42, 1.43, 1.43, 1.39, 1.4, 1.48, 1.58, 1.63, 1.69, 1.62, 1.56, 1.5, 1.54, 1.56, 1.63, 1.78, 1.88, 2.03]. ",external_data_mc/answer_info/answer_info_83.pkl,external_data_mc/executor_variables/executor_variables_83.pkl
84,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 11 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: RAPP, LOW, BNDW weighted by : [0.449, 0.056, 0.495].     Option B: The portfolio contains the following stocks: RVLV, HLF, OPRX weighted by : [0.247, 0.457, 0.297].     Option C: The portfolio contains the following stocks: SG, OTEX, MGY weighted by : [0.231, 0.055, 0.714]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: RAPP, LOW, BNDW weighted by : [0.449, 0.056, 0.495]. ', 'Option B: The portfolio contains the following stocks: RVLV, HLF, OPRX weighted by : [0.247, 0.457, 0.297]. ', 'Option C: The portfolio contains the following stocks: SG, OTEX, MGY weighted by : [0.231, 0.055, 0.714]. ']",B,"Option A: The historical stock value data of RAPP for the past 18 hours is: [22.14, 21.58, 21.7, 21.8, 21.71, 21.58, 21.21, 21.48, 20.56, 20.42, 20.34, 20.3, 20.27, 20.37, 20.65, 19.84, 20.29, 19.65]. The historical stock value data of LOW for the past 18 hours is: [243.04, 242.69, 241.96, 242.73, 244.27, 244.04, 244.11, 244.81, 243.77, 243.82, 245.44, 244.72, 245.21, 243.82, 242.77, 244.11, 245.37, 244.62]. The historical stock value data of BNDW for the past 18 hours is: [70.22, 70.18, 70.23, 70.26, 70.32, 70.31, 70.31, 70.4, 70.57, 70.38, 70.4, 70.36, 70.35, 70.36, 70.37, 70.47, 70.48, 70.52]. 
Option B: The historical stock value data of RVLV for the past 18 hours is: [22.03, 21.56, 21.78, 21.84, 21.88, 21.81, 21.6, 21.43, 21.28, 21.18, 21.28, 20.96, 20.85, 20.88, 21.44, 21.4, 21.48, 21.5]. The historical stock value data of HLF for the past 18 hours is: [8.28, 8.14, 8.03, 7.97, 8.1, 7.97, 7.97, 7.81, 7.74, 7.76, 7.8, 7.59, 7.57, 7.53, 7.38, 7.18, 7.2, 7.09]. The historical stock value data of OPRX for the past 18 hours is: [7.6, 7.54, 7.6, 7.89, 8.02, 7.73, 7.79, 7.59, 7.53, 7.41, 7.52, 7.45, 7.51, 7.57, 7.46, 7.55, 7.46, 7.42]. 
Option C: The historical stock value data of SG for the past 18 hours is: [29.54, 29.98, 29.94, 28.35, 28.2, 28.87, 28.46, 28.64, 27.61, 27.59, 27.61, 27.76, 28.1, 27.87, 28.31, 28.68, 29.26, 29.55]. The historical stock value data of OTEX for the past 18 hours is: [32.01, 31.76, 31.83, 31.9, 32.05, 31.84, 31.82, 31.51, 31.17, 31.03, 31.24, 31.28, 31.34, 31.38, 32.11, 31.77, 32.06, 32.08]. The historical stock value data of MGY for the past 18 hours is: [24.14, 24.19, 24.2, 24.08, 24.09, 24.09, 24.0, 23.91, 23.58, 23.57, 23.72, 23.53, 23.61, 23.58, 23.39, 23.43, 23.59, 23.61]. ",external_data_mc/answer_info/answer_info_84.pkl,external_data_mc/executor_variables/executor_variables_84.pkl
85,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 11 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: QGEN, IMTM, AIQ, WRAP weighted by : [0.078, 0.355, 0.31, 0.258].     Option B: The portfolio contains the following stocks: GDV, EMB, PLUS, FBND weighted by : [0.275, 0.278, 0.343, 0.105].     Option C: The portfolio contains the following stocks: DIA, BWA, NVRO, CMPR weighted by : [0.205, 0.279, 0.381, 0.135]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: QGEN, IMTM, AIQ, WRAP weighted by : [0.078, 0.355, 0.31, 0.258]. ', 'Option B: The portfolio contains the following stocks: GDV, EMB, PLUS, FBND weighted by : [0.275, 0.278, 0.343, 0.105]. ', 'Option C: The portfolio contains the following stocks: DIA, BWA, NVRO, CMPR weighted by : [0.205, 0.279, 0.381, 0.135]. ']",C,"Option A: The historical stock value data of QGEN for the past 10 hours is: [44.7, 44.66, 44.63, 44.48, 44.4, 44.34, 44.06, 44.22, 44.31, 44.38]. The historical stock value data of IMTM for the past 10 hours is: [38.89, 39.01, 39.01, 39.02, 38.42, 38.01, 37.95, 38.01, 37.87, 38.0]. The historical stock value data of AIQ for the past 10 hours is: [34.15, 34.29, 34.26, 34.23, 33.69, 33.4, 33.36, 33.39, 33.35, 33.44]. The historical stock value data of WRAP for the past 10 hours is: [1.5, 1.49, 1.46, 1.44, 1.42, 1.41, 1.42, 1.43, 1.41, 1.41]. 
Option B: The historical stock value data of GDV for the past 10 hours is: [23.7, 23.78, 23.76, 23.75, 23.56, 23.55, 23.5, 23.53, 23.5, 23.55]. The historical stock value data of EMB for the past 10 hours is: [92.06, 92.15, 92.11, 92.12, 92.17, 92.16, 91.89, 92.03, 91.96, 91.96]. The historical stock value data of PLUS for the past 10 hours is: [89.85, 90.08, 89.8, 89.73, 88.16, 88.01, 88.02, 88.25, 87.49, 88.22]. The historical stock value data of FBND for the past 10 hours is: [46.78, 46.8, 46.79, 46.79, 46.9, 46.97, 46.83, 46.87, 46.85, 46.82]. 
Option C: The historical stock value data of DIA for the past 10 hours is: [407.14, 408.73, 408.2, 408.47, 407.05, 404.92, 404.02, 404.82, 404.36, 404.94]. The historical stock value data of BWA for the past 10 hours is: [32.79, 32.81, 32.9, 32.85, 32.55, 32.34, 32.29, 32.51, 32.42, 32.49]. The historical stock value data of NVRO for the past 10 hours is: [5.13, 5.16, 5.22, 5.29, 5.21, 5.1, 5.02, 5.13, 5.12, 5.17]. The historical stock value data of CMPR for the past 10 hours is: [95.21, 95.43, 95.66, 96.36, 95.5, 94.36, 93.37, 93.45, 92.85, 91.75]. ",external_data_mc/answer_info/answer_info_85.pkl,external_data_mc/executor_variables/executor_variables_85.pkl
86,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 27 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: XMAR, WPP, HNDL weighted by : [0.235, 0.321, 0.444].     Option B: The portfolio contains the following stocks: TOVX, PXI, JUST weighted by : [0.335, 0.615, 0.05].     Option C: The portfolio contains the following stocks: BOXX, VOOV, FCPI weighted by : [0.329, 0.311, 0.36]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: XMAR, WPP, HNDL weighted by : [0.235, 0.321, 0.444]. ', 'Option B: The portfolio contains the following stocks: TOVX, PXI, JUST weighted by : [0.335, 0.615, 0.05]. ', 'Option C: The portfolio contains the following stocks: BOXX, VOOV, FCPI weighted by : [0.329, 0.311, 0.36]. ']",B,"Option A: The historical stock value data of XMAR for the past 85 days is: [33.0, 33.01, 33.01, 33.01, 33.03, 33.04, 33.05, 33.05, 33.06, 33.07, 33.1, 33.1, 33.1, 33.1, 33.12, 33.14, 33.15, 33.12, 33.15, 33.15, 33.18, 33.17, 33.17, 33.22, 33.19, 33.21, 33.21, 33.25, 33.2, 33.22, 33.22, 33.28, 33.23, 33.28, 33.28, 33.36, 33.42, 33.53, 33.61, 33.56, 33.52, 33.5, 33.61, 33.62, 33.59, 33.53, 33.53, 33.36, 33.49, 33.52, 33.6, 33.45, 33.49, 33.33, 33.14, 33.1, 33.08, 33.05, 32.94, 33.08, 33.27, 33.27, 33.2, 33.37, 33.45, 33.27, 33.15, 33.29, 33.51, 33.64, 33.71, 33.72, 33.79, 33.81, 33.83, 33.86, 34.03, 34.0, 34.04, 34.07, 34.15, 34.08, 34.02, 34.11, 34.11]. The historical stock value data of WPP for the past 85 days is: [47.63, 48.45, 49.04, 46.97, 47.83, 47.62, 47.02, 48.38, 47.89, 48.26, 47.92, 47.71, 45.98, 46.91, 47.24, 47.65, 48.25, 47.69, 44.28, 44.78, 44.73, 44.13, 43.84, 43.5, 43.81, 44.05, 43.75, 43.9, 44.46, 43.86, 44.15, 44.52, 44.2, 43.29, 43.61, 43.48, 43.34, 43.89, 44.64, 45.2, 45.16, 45.47, 45.42, 45.98, 45.73, 44.98, 45.29, 44.84, 44.59, 45.37, 46.49, 46.1, 46.94, 46.07, 45.95, 45.8, 46.34, 46.67, 46.73, 47.66, 48.14, 48.74, 48.61, 49.41, 50.02, 48.84, 48.73, 49.0, 49.54, 49.66, 50.14, 50.63, 50.71, 51.36, 51.35, 51.63, 51.98, 52.28, 51.9, 52.08, 51.45, 50.29, 50.25, 50.97, 51.24]. The historical stock value data of HNDL for the past 85 days is: [19.71, 19.81, 19.86, 19.76, 19.9, 19.91, 19.7, 19.78, 19.84, 19.84, 19.85, 19.9, 19.59, 19.71, 19.94, 19.81, 19.77, 19.73, 19.92, 20.08, 19.97, 19.94, 19.96, 20.03, 20.2, 20.16, 20.18, 20.25, 20.37, 20.32, 20.3, 20.35, 20.29, 20.13, 20.18, 20.13, 20.22, 20.34, 20.4, 20.39, 20.32, 20.29, 20.46, 20.48, 20.33, 20.24, 20.28, 20.19, 20.21, 20.2, 20.16, 19.92, 19.99, 19.85, 19.59, 19.58, 19.53, 19.49, 19.48, 19.59, 19.71, 19.71, 19.61, 19.7, 19.81, 19.54, 19.66, 19.76, 19.95, 20.05, 20.15, 20.08, 20.18, 20.15, 20.15, 20.23, 20.49, 20.46, 20.37, 20.41, 20.41, 20.32, 20.17, 20.23, 20.16]. 
Option B: The historical stock value data of TOVX for the past 85 days is: [10.75, 11.0, 11.25, 12.5, 13.0, 12.75, 12.0, 12.0, 13.75, 13.5, 13.25, 13.0, 12.25, 12.25, 11.75, 11.75, 11.75, 12.25, 12.25, 11.75, 12.0, 11.5, 11.25, 11.75, 12.25, 12.25, 12.25, 12.0, 11.5, 11.75, 12.0, 11.5, 11.25, 10.25, 10.5, 11.25, 11.0, 15.5, 12.5, 13.0, 12.25, 11.5, 12.0, 11.75, 11.0, 11.0, 11.25, 10.75, 11.25, 11.25, 11.0, 11.0, 11.0, 11.25, 10.75, 10.75, 11.0, 11.25, 10.5, 10.25, 9.5, 9.25, 10.25, 10.5, 10.5, 10.0, 10.25, 10.5, 10.0, 10.0, 10.5, 10.5, 10.0, 9.0, 9.25, 9.25, 9.25, 9.25, 9.25, 9.25, 9.25, 9.0, 8.25, 7.75, 6.75]. The historical stock value data of PXI for the past 85 days is: [44.71, 44.82, 44.88, 43.78, 43.86, 43.0, 42.42, 42.51, 42.88, 43.57, 43.24, 43.99, 43.5, 43.68, 44.65, 44.34, 43.64, 44.64, 44.91, 44.7, 45.27, 45.15, 44.03, 44.39, 45.6, 45.22, 45.2, 45.39, 46.07, 46.05, 45.85, 45.44, 46.12, 46.15, 46.7, 46.76, 47.76, 48.06, 48.31, 47.93, 48.32, 47.66, 48.23, 48.74, 48.87, 49.65, 50.57, 50.18, 50.69, 50.42, 50.23, 50.42, 50.42, 49.86, 49.15, 48.92, 48.29, 47.9, 48.23, 48.61, 48.96, 49.03, 49.4, 49.6, 49.78, 47.52, 46.65, 47.11, 47.74, 47.93, 48.08, 47.9, 48.42, 47.66, 47.49, 47.75, 47.93, 47.69, 48.21, 48.43, 48.35, 47.34, 46.94, 47.06, 47.92]. The historical stock value data of JUST for the past 85 days is: [69.41, 69.92, 69.86, 68.95, 69.63, 70.21, 70.1, 70.17, 70.79, 70.84, 71.29, 71.25, 70.19, 70.82, 71.25, 70.95, 70.43, 70.54, 72.03, 72.15, 71.78, 71.89, 71.73, 72.26, 72.84, 72.73, 72.03, 72.41, 73.12, 72.66, 72.55, 73.22, 73.2, 73.11, 72.64, 73.04, 73.52, 74.08, 74.48, 74.38, 74.14, 74.06, 74.54, 74.83, 74.55, 74.0, 74.06, 73.15, 73.89, 73.91, 73.92, 73.36, 73.99, 72.74, 72.04, 71.76, 71.5, 71.29, 70.7, 71.4, 72.25, 72.29, 72.03, 72.92, 73.01, 72.04, 71.71, 72.26, 73.23, 73.99, 74.11, 74.09, 74.48, 74.63, 74.64, 74.99, 75.86, 75.85, 75.78, 75.86, 76.11, 75.72, 75.33, 75.78, 75.72]. 
Option C: The historical stock value data of BOXX for the past 85 days is: [105.22, 105.25, 105.28, 105.24, 105.33, 105.36, 105.36, 105.38, 105.35, 105.39, 105.43, 105.41, 105.47, 105.48, 105.55, 105.54, 105.59, 105.61, 105.68, 105.68, 105.69, 105.71, 105.72, 105.77, 105.77, 105.78, 105.8, 105.82, 105.83, 105.85, 105.87, 105.88, 105.87, 105.93, 105.94, 105.97, 105.99, 105.98, 106.04, 106.03, 106.02, 106.12, 106.15, 106.17, 106.23, 106.22, 106.22, 106.27, 106.24, 106.28, 106.29, 106.29, 106.32, 106.38, 106.37, 106.39, 106.43, 106.45, 106.48, 106.49, 106.49, 106.52, 106.56, 106.59, 106.59, 106.61, 106.63, 106.68, 106.7, 106.72, 106.71, 106.74, 106.79, 106.83, 106.84, 106.84, 106.83, 106.91, 106.92, 106.93, 106.94, 106.95, 107.0, 107.04, 107.03]. The historical stock value data of VOOV for the past 85 days is: [167.08, 167.83, 168.33, 166.68, 168.35, 167.97, 166.46, 167.68, 167.97, 168.06, 168.0, 169.02, 166.71, 167.79, 169.97, 169.51, 169.46, 170.26, 171.38, 172.03, 171.08, 171.41, 171.56, 171.6, 172.31, 172.87, 172.39, 173.51, 174.09, 174.09, 174.82, 175.16, 175.41, 174.31, 174.03, 174.54, 175.38, 176.47, 177.49, 176.54, 176.26, 176.26, 178.89, 179.46, 178.46, 177.41, 177.13, 175.49, 176.48, 176.69, 177.16, 174.78, 174.2, 171.62, 170.84, 169.88, 169.91, 170.04, 171.44, 172.86, 174.09, 174.01, 173.44, 173.1, 174.06, 171.92, 171.43, 172.42, 173.28, 174.36, 174.96, 175.04, 176.75, 177.21, 177.03, 177.5, 178.87, 178.98, 179.48, 178.51, 178.74, 178.27, 175.72, 176.31, 175.08]. The historical stock value data of FCPI for the past 85 days is: [35.78, 35.99, 36.23, 35.83, 36.25, 36.3, 36.3, 36.24, 36.6, 36.63, 36.83, 36.84, 36.34, 36.6, 36.96, 36.8, 36.58, 36.61, 37.24, 37.38, 37.48, 37.55, 37.35, 37.5, 37.91, 37.89, 37.57, 37.85, 38.25, 38.0, 37.92, 38.27, 38.33, 38.17, 38.02, 38.21, 38.6, 38.98, 39.17, 39.05, 38.98, 38.87, 39.1, 39.29, 39.22, 38.78, 38.88, 38.43, 38.88, 38.86, 38.7, 38.35, 38.56, 38.08, 37.7, 37.56, 37.46, 37.27, 37.11, 37.41, 37.82, 37.89, 37.88, 38.08, 38.3, 37.62, 37.6, 37.91, 38.38, 38.65, 38.82, 38.81, 39.16, 39.18, 39.1, 39.32, 39.84, 39.63, 39.67, 39.81, 39.94, 39.8, 39.67, 39.96, 39.99]. ",external_data_mc/answer_info/answer_info_86.pkl,external_data_mc/executor_variables/executor_variables_86.pkl
87,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 19 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: DRIO, DUK, GURU weighted by : [0.335, 0.077, 0.588].     Option B: The portfolio contains the following stocks: AKTS, BCSF, EQR weighted by : [0.179, 0.398, 0.423].     Option C: The portfolio contains the following stocks: CIVB, PRDO, XIN weighted by : [0.247, 0.617, 0.136]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: DRIO, DUK, GURU weighted by : [0.335, 0.077, 0.588]. ', 'Option B: The portfolio contains the following stocks: AKTS, BCSF, EQR weighted by : [0.179, 0.398, 0.423]. ', 'Option C: The portfolio contains the following stocks: CIVB, PRDO, XIN weighted by : [0.247, 0.617, 0.136]. ']",C,"Option A: The historical stock value data of DRIO for the past 33 days is: [1.72, 1.75, 1.77, 1.6, 1.62, 1.5, 1.52, 1.5, 1.43, 1.4, 1.46, 1.45, 1.49, 1.51, 1.52, 1.53, 1.48, 1.33, 1.43, 1.38, 1.35, 1.43, 1.29, 1.31, 1.45, 1.23, 1.14, 1.17, 1.21, 1.15, 1.16, 1.32, 1.45]. The historical stock value data of DUK for the past 33 days is: [92.68, 93.13, 94.01, 93.2, 93.68, 93.24, 92.9, 93.13, 93.33, 93.59, 93.15, 92.81, 93.03, 91.88, 94.26, 94.87, 94.24, 94.7, 94.14, 94.29, 94.08, 94.47, 95.46, 93.59, 93.47, 93.09, 92.34, 91.1, 92.7, 94.1, 96.37, 96.25, 96.33]. The historical stock value data of GURU for the past 33 days is: [42.2, 42.1, 42.03, 42.45, 42.41, 41.92, 41.86, 41.92, 42.3, 42.75, 43.17, 42.92, 42.85, 42.86, 43.36, 43.53, 43.27, 42.84, 43.08, 42.52, 42.81, 42.79, 42.94, 42.34, 42.42, 41.74, 41.14, 40.95, 40.75, 40.47, 40.36, 40.7, 41.24]. 
Option B: The historical stock value data of AKTS for the past 33 days is: [0.62, 0.63, 0.62, 0.6, 0.6, 0.57, 0.54, 0.54, 0.61, 0.61, 0.61, 0.57, 0.57, 0.54, 0.58, 0.59, 0.55, 0.55, 0.59, 0.6, 0.58, 0.59, 0.6, 0.58, 0.6, 0.57, 0.52, 0.5, 0.5, 0.51, 0.49, 0.55, 0.6]. The historical stock value data of BCSF for the past 33 days is: [14.73, 14.92, 14.96, 15.05, 15.06, 14.84, 14.91, 14.9, 14.89, 14.92, 15.02, 14.99, 14.99, 15.14, 15.26, 15.26, 15.12, 15.16, 15.31, 15.13, 15.3, 15.24, 15.25, 15.32, 15.34, 15.29, 15.16, 15.2, 15.23, 15.25, 15.34, 15.62, 15.79]. The historical stock value data of EQR for the past 33 days is: [61.65, 62.12, 61.59, 61.07, 62.02, 61.11, 61.75, 61.12, 60.96, 61.41, 62.16, 61.56, 60.93, 60.66, 61.96, 62.5, 60.85, 60.25, 60.82, 60.66, 61.19, 63.18, 63.84, 62.35, 62.18, 61.09, 60.07, 59.1, 59.82, 60.4, 60.94, 61.93, 62.48]. 
Option C: The historical stock value data of CIVB for the past 33 days is: [14.49, 14.48, 14.56, 14.34, 14.39, 13.99, 14.56, 14.35, 14.34, 14.58, 15.11, 14.73, 14.8, 14.6, 14.91, 15.05, 14.56, 14.34, 14.67, 14.9, 14.7, 14.61, 14.44, 14.14, 14.02, 14.03, 14.25, 14.19, 13.98, 14.0, 14.7, 14.91, 14.82]. The historical stock value data of PRDO for the past 33 days is: [17.28, 17.36, 17.46, 17.33, 17.56, 17.51, 17.46, 17.22, 17.16, 17.58, 17.71, 17.73, 17.49, 17.51, 17.51, 17.37, 17.53, 17.51, 17.27, 17.2, 17.21, 17.21, 17.6, 17.44, 17.33, 16.93, 16.67, 16.69, 16.66, 16.81, 17.15, 17.32, 17.65]. The historical stock value data of XIN for the past 33 days is: [2.7, 2.7, 2.73, 2.72, 2.74, 2.65, 2.65, 2.72, 2.73, 2.77, 2.77, 2.75, 2.73, 2.73, 2.73, 2.7, 2.71, 2.79, 2.78, 2.78, 2.77, 2.69, 2.75, 2.7, 2.78, 2.67, 2.72, 2.65, 2.69, 2.6, 2.6, 2.7, 2.71]. ",external_data_mc/answer_info/answer_info_87.pkl,external_data_mc/executor_variables/executor_variables_87.pkl
88,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' price data for 28 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: SNAL, WGO weighted by : [0.055, 0.945].     Option B: The portfolio contains the following stocks: HAUS, MEDP weighted by : [0.363, 0.637].     Option C: The portfolio contains the following stocks: OCS, AVIV weighted by : [0.38, 0.62]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SNAL, WGO weighted by : [0.055, 0.945]. ', 'Option B: The portfolio contains the following stocks: HAUS, MEDP weighted by : [0.363, 0.637]. ', 'Option C: The portfolio contains the following stocks: OCS, AVIV weighted by : [0.38, 0.62]. ']",A,"Option A: The historical stock value data of SNAL for the past 30 days is: [0.82, 0.88, 0.83, 0.84, 0.86, 0.85, 0.82, 0.9, 0.87, 0.85, 0.86, 0.83, 0.83, 0.84, 0.9, 0.83, 0.8, 0.88, 0.83, 0.85, 0.85, 0.89, 0.83, 0.87, 0.86, 0.87, 0.85, 0.78, 0.81, 0.86]. The historical stock value data of WGO for the past 30 days is: [56.63, 54.76, 55.98, 56.35, 54.35, 53.66, 53.8, 51.57, 52.39, 53.14, 53.87, 53.08, 53.11, 52.93, 51.52, 50.82, 49.37, 50.83, 54.22, 56.52, 57.59, 59.28, 58.14, 57.7, 56.46, 57.25, 57.83, 55.94, 59.07, 60.38]. 
Option B: The historical stock value data of HAUS for the past 30 days is: [17.19, 17.27, 17.3, 17.35, 17.31, 17.36, 17.54, 17.37, 17.32, 17.44, 17.68, 17.59, 17.66, 17.53, 17.57, 17.62, 17.62, 17.67, 17.9, 17.86, 17.99, 18.33, 18.47, 18.37, 18.28, 18.51, 18.51, 18.28, 18.13, 18.42]. The historical stock value data of MEDP for the past 30 days is: [394.1, 393.91, 395.95, 402.99, 400.63, 404.03, 408.08, 407.47, 405.33, 424.34, 411.85, 407.24, 404.42, 403.07, 402.4, 405.64, 410.95, 419.05, 434.99, 443.0, 444.48, 457.29, 436.99, 423.96, 421.31, 437.18, 357.3, 381.88, 380.5, 381.47]. 
Option C: The historical stock value data of OCS for the past 30 days is: [11.8, 11.8, 11.75, 11.75, 11.7, 11.7, 11.86, 11.82, 11.85, 11.7, 11.95, 11.89, 11.7, 11.73, 11.66, 11.5, 11.01, 11.2, 11.4, 11.38, 11.61, 11.73, 11.73, 11.72, 11.72, 11.68, 11.52, 11.52, 11.45, 11.62]. The historical stock value data of AVIV for the past 30 days is: [52.43, 51.76, 51.94, 52.23, 52.35, 51.96, 52.67, 52.69, 52.26, 52.37, 52.44, 52.61, 52.85, 53.37, 53.55, 53.29, 52.99, 53.72, 53.96, 54.41, 54.17, 54.42, 54.47, 53.96, 53.58, 54.04, 53.61, 53.08, 52.82, 53.37]. ",external_data_mc/answer_info/answer_info_88.pkl,external_data_mc/executor_variables/executor_variables_88.pkl
89,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 5 stocks' price data for 28 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: ORRF, CACI, SENEB, HOLX, ADD weighted by : [0.147, 0.268, 0.194, 0.258, 0.134].     Option B: The portfolio contains the following stocks: FCUV, CRGY, PDEC, IQM, PFC weighted by : [0.299, 0.202, 0.153, 0.266, 0.08].     Option C: The portfolio contains the following stocks: MSTR, THM, RLGT, DESP, SUPL weighted by : [0.264, 0.272, 0.154, 0.112, 0.199]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ORRF, CACI, SENEB, HOLX, ADD weighted by : [0.147, 0.268, 0.194, 0.258, 0.134]. ', 'Option B: The portfolio contains the following stocks: FCUV, CRGY, PDEC, IQM, PFC weighted by : [0.299, 0.202, 0.153, 0.266, 0.08]. ', 'Option C: The portfolio contains the following stocks: MSTR, THM, RLGT, DESP, SUPL weighted by : [0.264, 0.272, 0.154, 0.112, 0.199]. ']",B,"Option A: The historical stock value data of ORRF for the past 57 days is: [25.95, 26.21, 26.43, 26.44, 26.34, 26.35, 26.46, 26.36, 26.46, 26.58, 26.63, 26.56, 26.43, 26.61, 26.63, 26.26, 26.42, 26.17, 25.7, 25.61, 25.92, 25.34, 25.26, 25.3, 25.34, 25.23, 25.16, 25.08, 25.47, 25.41, 25.08, 25.22, 25.15, 25.14, 25.01, 25.4, 25.29, 25.55, 26.08, 27.16, 28.46, 27.71, 27.47, 26.86, 26.84, 26.74, 26.86, 28.12, 28.2, 29.24, 30.76, 31.26, 30.76, 30.75, 31.36, 31.97, 33.51]. The historical stock value data of CACI for the past 57 days is: [410.96, 414.95, 423.75, 421.01, 422.69, 428.59, 428.33, 425.25, 424.0, 424.43, 426.36, 426.89, 427.25, 426.89, 427.72, 425.72, 429.02, 423.11, 418.87, 423.33, 424.48, 419.89, 422.23, 423.95, 420.79, 417.52, 419.96, 422.57, 427.35, 425.48, 423.87, 430.31, 431.87, 430.68, 433.77, 433.88, 435.36, 437.13, 434.56, 430.13, 427.76, 428.27, 426.95, 422.97, 427.31, 425.08, 429.04, 434.11, 439.23, 439.83, 443.15, 446.53, 446.37, 445.5, 452.24, 459.32, 447.51]. The historical stock value data of SENEB for the past 57 days is: [58.8, 58.8, 58.8, 59.21, 59.21, 59.21, 59.75, 59.75, 59.75, 59.75, 59.75, 63.56, 61.85, 61.85, 62.3, 60.01, 61.82, 61.82, 61.82, 61.82, 61.82, 61.82, 58.8, 58.8, 58.8, 58.8, 58.8, 58.8, 57.35, 57.35, 57.57, 56.05, 57.41, 57.41, 57.41, 57.41, 57.41, 57.41, 57.41, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4, 58.4]. The historical stock value data of HOLX for the past 57 days is: [75.91, 76.54, 75.93, 76.1, 75.86, 75.75, 75.14, 75.57, 75.65, 74.86, 74.95, 75.02, 74.85, 74.55, 74.81, 73.99, 73.8, 73.36, 72.39, 72.58, 73.78, 74.53, 74.65, 74.25, 74.78, 74.51, 73.97, 72.9, 72.48, 72.14, 71.79, 71.43, 71.47, 72.21, 73.07, 72.48, 71.65, 72.27, 74.21, 74.25, 74.1, 73.53, 73.48, 74.1, 74.53, 74.75, 75.77, 76.49, 77.69, 77.34, 78.46, 78.89, 77.66, 78.11, 78.38, 78.1, 78.34]. The historical stock value data of ADD for the past 57 days is: [0.24, 0.24, 0.24, 0.22, 0.22, 0.23, 0.23, 0.22, 0.22, 0.22, 0.23, 0.25, 0.26, 0.25, 0.27, 0.27, 0.26, 0.25, 0.22, 0.21, 0.21, 0.24, 0.23, 0.22, 0.21, 0.21, 0.21, 0.21, 0.23, 0.21, 0.22, 0.21, 0.22, 0.21, 0.22, 0.21, 0.22, 0.22, 0.22, 0.21, 0.21, 0.21, 0.21, 0.21, 0.19, 0.19, 0.2, 0.21, 0.2, 0.22, 0.22, 0.22, 0.22, 0.2, 0.2, 0.2, 0.2]. 
Option B: The historical stock value data of FCUV for the past 57 days is: [0.31, 0.3, 0.29, 0.35, 0.34, 0.3, 0.3, 0.3, 0.3, 0.3, 0.29, 0.3, 0.3, 0.3, 0.28, 0.27, 0.27, 0.27, 0.28, 0.28, 0.23, 0.26, 0.27, 0.26, 0.27, 0.24, 0.24, 0.24, 0.24, 0.25, 0.25, 0.24, 0.24, 0.24, 0.25, 0.25, 0.25, 0.24, 0.26, 0.24, 0.25, 0.26, 0.27, 0.27, 0.27, 0.27, 0.27, 0.29, 0.29, 0.28, 0.28, 0.29, 0.27, 0.25, 0.25, 0.26, 0.25]. The historical stock value data of CRGY for the past 57 days is: [10.29, 10.35, 10.56, 11.63, 12.07, 12.3, 11.91, 12.04, 12.1, 12.0, 11.4, 11.77, 12.49, 12.15, 12.05, 12.13, 12.24, 12.34, 12.31, 12.38, 12.47, 12.3, 12.33, 12.22, 12.14, 12.07, 12.25, 12.23, 12.07, 11.76, 11.77, 11.78, 11.6, 11.82, 11.43, 11.77, 11.69, 11.5, 11.8, 11.72, 11.69, 11.91, 12.24, 12.04, 12.02, 11.69, 12.02, 12.15, 12.17, 12.37, 12.27, 12.18, 12.01, 11.92, 12.02, 11.99, 11.98]. The historical stock value data of PDEC for the past 57 days is: [36.31, 36.54, 36.65, 36.68, 36.68, 36.76, 36.8, 36.8, 36.86, 37.01, 37.03, 37.04, 37.06, 37.12, 37.07, 37.01, 37.09, 37.1, 37.01, 37.01, 37.08, 37.1, 37.11, 37.24, 37.23, 37.25, 37.27, 37.28, 37.37, 37.41, 37.37, 37.45, 37.46, 37.42, 37.42, 37.45, 37.46, 37.48, 37.5, 37.51, 37.54, 37.6, 37.61, 37.65, 37.67, 37.69, 37.74, 37.69, 37.73, 37.81, 37.8, 37.72, 37.72, 37.62, 37.72, 37.72, 37.51]. The historical stock value data of IQM for the past 57 days is: [55.48, 56.76, 57.7, 57.57, 57.45, 57.46, 57.8, 57.57, 58.07, 59.49, 59.22, 58.93, 59.63, 59.75, 59.82, 60.04, 60.98, 61.31, 60.58, 60.12, 59.79, 59.98, 59.98, 61.88, 61.55, 61.35, 61.89, 62.15, 63.58, 63.69, 63.37, 64.4, 65.0, 63.92, 63.46, 62.19, 63.29, 63.19, 63.19, 63.28, 63.34, 63.97, 64.92, 65.42, 67.21, 65.92, 66.96, 65.75, 66.25, 66.12, 66.5, 62.91, 62.34, 61.8, 63.48, 63.08, 60.14]. The historical stock value data of PFC for the past 57 days is: [20.24, 20.48, 20.48, 20.48, 20.65, 20.98, 20.97, 20.77, 20.76, 20.73, 20.98, 21.02, 20.52, 20.73, 20.51, 19.88, 19.95, 19.54, 18.99, 19.34, 19.45, 18.97, 18.79, 19.0, 19.1, 19.08, 18.73, 18.68, 19.14, 18.94, 18.48, 18.91, 18.98, 18.9, 18.66, 19.0, 18.89, 19.22, 19.61, 20.19, 20.04, 20.29, 19.76, 19.35, 19.6, 19.87, 20.5, 21.67, 21.85, 22.65, 23.97, 24.61, 24.01, 23.94, 24.63, 25.27, 24.41]. 
Option C: The historical stock value data of MSTR for the past 57 days is: [112.94, 122.3, 126.88, 125.75, 123.31, 126.36, 118.05, 124.6, 129.76, 150.35, 144.0, 158.45, 172.72, 165.54, 164.7, 154.41, 168.48, 167.54, 161.87, 154.1, 152.45, 162.74, 163.88, 169.47, 165.66, 159.62, 159.99, 155.55, 160.37, 148.39, 149.55, 150.73, 146.94, 146.54, 148.38, 137.21, 149.57, 145.77, 152.54, 137.75, 136.6, 132.02, 130.21, 128.17, 129.06, 130.18, 130.57, 135.86, 139.68, 161.13, 166.43, 159.0, 155.52, 177.85, 180.01, 172.18, 167.27]. The historical stock value data of THM for the past 57 days is: [0.68, 0.67, 0.67, 0.68, 0.68, 0.68, 0.67, 0.66, 0.64, 0.62, 0.65, 0.68, 0.75, 0.7, 0.68, 0.68, 0.67, 0.68, 0.63, 0.64, 0.6, 0.6, 0.59, 0.59, 0.59, 0.58, 0.55, 0.56, 0.53, 0.52, 0.54, 0.54, 0.53, 0.53, 0.52, 0.52, 0.49, 0.5, 0.49, 0.49, 0.49, 0.45, 0.45, 0.5, 0.52, 0.52, 0.51, 0.5, 0.51, 0.51, 0.5, 0.51, 0.45, 0.46, 0.47, 0.46, 0.46]. The historical stock value data of RLGT for the past 57 days is: [5.15, 5.07, 5.1, 5.12, 5.14, 5.18, 5.08, 4.95, 5.0, 5.06, 5.31, 5.44, 5.44, 5.26, 5.3, 5.15, 5.28, 5.24, 5.14, 5.25, 5.34, 5.3, 5.24, 5.24, 5.28, 5.34, 5.41, 5.29, 5.53, 5.34, 5.23, 5.29, 5.29, 5.34, 5.26, 5.28, 5.31, 5.29, 5.57, 5.69, 5.46, 5.46, 5.5, 5.28, 5.5, 5.36, 5.45, 5.75, 5.9, 5.94, 6.17, 6.1, 5.88, 5.82, 5.93, 6.0, 5.92]. The historical stock value data of DESP for the past 57 days is: [12.38, 12.3, 13.39, 12.95, 12.83, 12.4, 12.14, 12.12, 12.14, 12.38, 12.54, 14.94, 14.77, 14.77, 15.0, 14.53, 15.0, 15.15, 15.25, 15.08, 15.1, 14.91, 14.56, 15.19, 14.62, 14.8, 14.55, 14.22, 14.51, 14.36, 13.47, 13.3, 13.91, 13.25, 13.23, 13.04, 13.18, 12.5, 13.16, 13.23, 12.79, 12.74, 12.79, 13.02, 13.44, 13.63, 13.62, 13.55, 13.59, 13.89, 14.49, 13.56, 12.82, 12.5, 12.7, 12.87, 12.21]. The historical stock value data of SUPL for the past 57 days is: [38.06, 38.29, 38.21, 38.39, 38.5, 38.84, 39.39, 39.65, 39.75, 39.91, 40.19, 39.97, 39.86, 39.35, 39.21, 38.94, 39.42, 39.66, 39.18, 39.55, 39.68, 39.82, 39.64, 40.26, 40.65, 40.34, 40.45, 39.69, 39.72, 39.3, 39.18, 39.27, 39.37, 39.58, 39.51, 39.8, 39.57, 39.85, 39.69, 39.92, 39.87, 40.06, 40.46, 40.12, 39.52, 39.12, 39.54, 40.1, 40.21, 40.52, 41.29, 40.85, 40.43, 40.2, 40.56, 39.98, 39.58]. ",external_data_mc/answer_info/answer_info_89.pkl,external_data_mc/executor_variables/executor_variables_89.pkl
90,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 8 stocks' price data for 9 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: KELYA, ADAP, AAXJ, RELY, JCPB, E, SMG, PRGS weighted by : [0.137, 0.109, 0.105, 0.052, 0.174, 0.153, 0.119, 0.151].     Option B: The portfolio contains the following stocks: OSCR, JAAA, EBS, WISA, YPF, TOVX, FUTU, LIVN weighted by : [0.022, 0.141, 0.081, 0.163, 0.14, 0.11, 0.125, 0.218].     Option C: The portfolio contains the following stocks: GPC, PTBD, JBGS, XHR, XPER, CLOA, NBR, NI weighted by : [0.177, 0.182, 0.045, 0.083, 0.164, 0.081, 0.166, 0.102]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: KELYA, ADAP, AAXJ, RELY, JCPB, E, SMG, PRGS weighted by : [0.137, 0.109, 0.105, 0.052, 0.174, 0.153, 0.119, 0.151]. ', 'Option B: The portfolio contains the following stocks: OSCR, JAAA, EBS, WISA, YPF, TOVX, FUTU, LIVN weighted by : [0.022, 0.141, 0.081, 0.163, 0.14, 0.11, 0.125, 0.218]. ', 'Option C: The portfolio contains the following stocks: GPC, PTBD, JBGS, XHR, XPER, CLOA, NBR, NI weighted by : [0.177, 0.182, 0.045, 0.083, 0.164, 0.081, 0.166, 0.102]. ']",B,"Option A: The historical stock value data of KELYA for the past 12 hours is: [20.67, 20.57, 20.55, 20.38, 20.22, 20.1, 20.2, 20.16, 20.08, 20.03, 20.17, 20.33]. The historical stock value data of ADAP for the past 12 hours is: [1.12, 1.12, 1.12, 1.1, 1.11, 1.1, 1.11, 1.1, 1.1, 1.08, 1.15, 1.15]. The historical stock value data of AAXJ for the past 12 hours is: [71.6, 71.58, 71.54, 70.8, 70.51, 70.29, 70.37, 70.25, 70.34, 70.24, 70.91, 70.84]. The historical stock value data of RELY for the past 12 hours is: [13.81, 13.77, 13.77, 13.62, 13.58, 13.46, 13.59, 13.56, 13.6, 13.45, 13.55, 13.48]. The historical stock value data of JCPB for the past 12 hours is: [48.06, 48.07, 48.06, 48.14, 48.23, 48.13, 48.15, 48.13, 48.12, 48.13, 48.14, 48.15]. The historical stock value data of E for the past 12 hours is: [31.45, 31.42, 31.47, 31.17, 31.02, 30.92, 30.97, 30.87, 30.92, 30.92, 31.1, 31.05]. The historical stock value data of SMG for the past 12 hours is: [69.44, 69.27, 68.85, 68.69, 68.04, 68.0, 68.55, 68.36, 68.23, 67.84, 67.9, 67.96]. The historical stock value data of PRGS for the past 12 hours is: [57.7, 57.29, 57.7, 57.59, 57.67, 57.69, 57.82, 57.78, 57.92, 57.65, 56.1, 56.41]. 
Option B: The historical stock value data of OSCR for the past 12 hours is: [17.23, 17.53, 17.39, 16.77, 16.86, 16.93, 17.09, 16.94, 16.99, 16.99, 17.51, 17.57]. The historical stock value data of JAAA for the past 12 hours is: [50.67, 50.67, 50.66, 50.7, 50.7, 50.69, 50.7, 50.7, 50.7, 50.7, 50.71, 50.71]. The historical stock value data of EBS for the past 12 hours is: [7.68, 7.71, 7.61, 7.48, 7.47, 7.44, 7.65, 7.65, 7.58, 7.53, 7.61, 7.55]. The historical stock value data of WISA for the past 12 hours is: [2.52, 2.65, 2.57, 2.44, 2.35, 2.2, 2.14, 2.12, 2.14, 2.16, 1.94, 2.07]. The historical stock value data of YPF for the past 12 hours is: [23.87, 23.9, 23.93, 23.85, 23.22, 23.31, 23.38, 23.37, 23.5, 23.35, 23.52, 23.54]. The historical stock value data of TOVX for the past 12 hours is: [3.34, 3.28, 3.27, 3.27, 3.38, 3.71, 3.98, 4.14, 4.43, 4.32, 3.99, 4.47]. The historical stock value data of FUTU for the past 12 hours is: [60.48, 60.39, 60.48, 59.15, 58.94, 58.69, 58.6, 58.56, 58.63, 58.66, 59.08, 59.1]. The historical stock value data of LIVN for the past 12 hours is: [47.27, 47.04, 46.98, 46.89, 47.12, 46.95, 46.98, 46.94, 47.13, 47.06, 47.52, 47.52]. 
Option C: The historical stock value data of GPC for the past 12 hours is: [136.62, 136.54, 137.34, 136.55, 134.71, 134.25, 134.27, 134.44, 134.46, 134.39, 135.62, 136.21]. The historical stock value data of PTBD for the past 12 hours is: [20.69, 20.69, 20.68, 20.69, 20.79, 20.71, 20.71, 20.73, 20.73, 20.72, 20.7, 20.74]. The historical stock value data of JBGS for the past 12 hours is: [17.5, 17.5, 17.4, 17.26, 17.18, 17.25, 17.32, 17.27, 17.25, 17.16, 17.32, 17.28]. The historical stock value data of XHR for the past 12 hours is: [13.54, 13.43, 13.36, 13.33, 13.3, 13.32, 13.38, 13.34, 13.4, 13.35, 13.31, 13.32]. The historical stock value data of XPER for the past 12 hours is: [8.44, 8.32, 8.32, 8.17, 8.19, 8.1, 8.18, 8.1, 8.11, 8.08, 8.34, 8.29]. The historical stock value data of CLOA for the past 12 hours is: [51.74, 51.74, 51.74, 51.75, 51.74, 51.74, 51.75, 51.76, 51.76, 51.76, 51.78, 51.78]. The historical stock value data of NBR for the past 12 hours is: [66.53, 67.42, 68.36, 68.51, 67.04, 66.61, 67.43, 66.67, 66.53, 66.11, 66.07, 66.32]. The historical stock value data of NI for the past 12 hours is: [33.33, 33.28, 33.4, 33.28, 33.28, 33.22, 33.21, 33.23, 33.34, 33.22, 33.33, 33.4]. ",external_data_mc/answer_info/answer_info_90.pkl,external_data_mc/executor_variables/executor_variables_90.pkl
91,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 9 stocks' price data for 28 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: BF-B, CION, GAP, CLNN, JXJT, EMBC, SEIM, HRI, ATEC weighted by : [0.08, 0.099, 0.143, 0.126, 0.016, 0.12, 0.135, 0.165, 0.116].     Option B: The portfolio contains the following stocks: PTF, BHAC, WEA, VLUE, DTC, BSTZ, WPC, FEMB, AHOY weighted by : [0.056, 0.151, 0.143, 0.142, 0.108, 0.145, 0.012, 0.136, 0.106].     Option C: The portfolio contains the following stocks: HCI, COLL, FICS, BGSF, SVIX, DRS, EBLU, AA, RPAY weighted by : [0.123, 0.181, 0.082, 0.106, 0.062, 0.117, 0.005, 0.187, 0.138]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: BF-B, CION, GAP, CLNN, JXJT, EMBC, SEIM, HRI, ATEC weighted by : [0.08, 0.099, 0.143, 0.126, 0.016, 0.12, 0.135, 0.165, 0.116]. ', 'Option B: The portfolio contains the following stocks: PTF, BHAC, WEA, VLUE, DTC, BSTZ, WPC, FEMB, AHOY weighted by : [0.056, 0.151, 0.143, 0.142, 0.108, 0.145, 0.012, 0.136, 0.106]. ', 'Option C: The portfolio contains the following stocks: HCI, COLL, FICS, BGSF, SVIX, DRS, EBLU, AA, RPAY weighted by : [0.123, 0.181, 0.082, 0.106, 0.062, 0.117, 0.005, 0.187, 0.138]. ']",A,"Option A: The historical stock value data of BF-B for the past 72 days is: [56.51, 56.57, 56.33, 56.08, 55.01, 55.08, 54.34, 54.94, 54.81, 54.84, 54.76, 55.02, 53.82, 53.3, 53.8, 53.86, 53.26, 54.29, 53.82, 54.95, 55.92, 55.71, 55.35, 54.16, 56.26, 56.03, 55.67, 56.14, 56.36, 56.16, 55.8, 57.0, 55.92, 56.57, 57.22, 57.09, 57.72, 57.78, 57.04, 56.71, 56.23, 56.84, 57.7, 59.41, 59.55, 59.44, 59.96, 55.57, 54.07, 53.89, 54.62, 53.8, 53.79, 52.79, 53.2, 51.92, 51.83, 51.74, 51.14, 50.41, 50.37, 50.5, 51.53, 51.12, 50.52, 50.49, 51.34, 50.92, 50.48, 50.16, 50.42, 49.51]. The historical stock value data of CION for the past 72 days is: [10.36, 10.41, 10.29, 10.14, 9.94, 10.04, 10.15, 10.31, 10.28, 10.21, 10.14, 10.19, 10.04, 10.04, 10.07, 10.06, 10.23, 10.2, 10.11, 10.15, 10.24, 10.31, 10.4, 10.18, 10.2, 10.14, 10.04, 9.96, 9.99, 9.99, 10.06, 10.21, 9.88, 9.94, 10.21, 10.13, 10.11, 10.08, 10.15, 10.07, 10.04, 9.85, 9.77, 9.81, 9.79, 9.82, 9.87, 9.9, 9.98, 9.99, 10.05, 10.03, 9.97, 9.93, 9.93, 9.79, 9.77, 9.91, 10.0, 9.91, 9.98, 10.08, 10.41, 10.33, 10.41, 10.39, 10.43, 10.35, 10.42, 10.45, 10.35, 10.2]. The historical stock value data of GAP for the past 72 days is: [20.86, 20.68, 20.49, 20.62, 19.99, 19.86, 20.52, 21.38, 21.04, 21.02, 20.69, 19.98, 19.58, 19.16, 18.29, 18.7, 18.73, 18.73, 18.73, 19.26, 19.49, 19.16, 19.1, 18.45, 19.09, 19.56, 19.71, 19.53, 19.62, 19.78, 19.8, 20.3, 19.52, 19.86, 19.78, 19.51, 18.8, 18.9, 18.85, 19.2, 19.11, 19.45, 18.99, 18.7, 18.82, 18.97, 19.74, 18.82, 19.08, 20.65, 21.36, 22.42, 22.63, 22.71, 23.29, 24.37, 25.08, 26.64, 28.12, 27.72, 27.55, 27.37, 26.94, 27.2, 26.9, 26.27, 25.55, 24.37, 23.94, 23.18, 22.99, 22.98]. The historical stock value data of CLNN for the past 72 days is: [5.2, 5.6, 6.0, 5.8, 5.8, 5.6, 5.8, 7.0, 8.4, 8.0, 8.6, 9.6, 10.2, 9.8, 9.0, 9.2, 9.4, 9.4, 10.2, 10.6, 10.6, 10.2, 10.4, 9.8, 9.6, 9.4, 8.8, 9.0, 8.8, 8.4, 8.6, 8.4, 8.4, 9.4, 9.2, 9.2, 9.2, 9.0, 8.6, 8.6, 8.6, 8.6, 8.6, 8.0, 7.8, 7.8, 7.6, 8.0, 8.2, 10.0, 9.0, 8.8, 8.8, 8.4, 8.0, 8.2, 8.0, 8.0, 8.6, 8.8, 8.6, 8.4, 8.6, 8.6, 8.4, 8.0, 8.2, 8.4, 8.2, 8.0, 7.8, 7.8]. The historical stock value data of JXJT for the past 72 days is: [1.25, 1.2, 1.33, 1.34, 1.42, 1.39, 1.24, 1.32, 1.26, 1.3, 1.21, 1.23, 1.2, 1.21, 1.34, 1.48, 1.3, 1.4, 1.27, 1.26, 1.3, 1.27, 1.27, 1.26, 1.19, 1.2, 1.18, 1.21, 1.18, 1.18, 1.25, 1.22, 1.24, 1.22, 2.83, 2.26, 2.25, 2.23, 2.16, 1.88, 1.87, 1.77, 1.55, 1.53, 1.45, 1.35, 1.37, 1.37, 1.29, 1.32, 1.31, 1.35, 1.35, 1.25, 1.27, 1.28, 1.3, 1.26, 1.21, 1.21, 1.2, 1.2, 1.25, 1.21, 1.24, 1.21, 1.28, 1.24, 1.24, 1.28, 1.28, 1.3]. The historical stock value data of EMBC for the past 72 days is: [18.26, 18.48, 18.32, 18.46, 17.7, 17.83, 17.66, 18.71, 17.88, 17.81, 17.01, 16.7, 16.68, 16.24, 16.47, 16.39, 16.44, 16.24, 16.33, 16.38, 16.75, 16.32, 16.56, 16.59, 16.98, 16.54, 16.04, 16.84, 16.9, 17.19, 15.73, 14.49, 13.79, 14.07, 14.31, 14.02, 13.84, 14.47, 14.28, 14.36, 14.1, 14.1, 13.71, 13.97, 13.85, 13.58, 13.17, 13.17, 13.59, 13.47, 13.44, 13.44, 13.68, 13.45, 12.94, 13.03, 12.57, 12.61, 12.7, 12.14, 12.25, 12.08, 12.62, 12.98, 12.82, 12.44, 12.37, 12.5, 12.48, 11.87, 11.56, 11.15]. The historical stock value data of SEIM for the past 72 days is: [27.89, 27.9, 27.84, 27.57, 27.33, 27.26, 27.27, 27.78, 27.83, 28.03, 28.2, 28.21, 28.26, 28.18, 28.49, 28.88, 29.11, 28.93, 28.83, 28.95, 28.99, 29.25, 29.31, 28.91, 29.34, 29.99, 29.88, 29.77, 30.17, 30.22, 30.5, 30.41, 30.12, 30.44, 30.52, 30.31, 30.17, 29.83, 30.71, 30.76, 30.85, 30.94, 31.02, 31.18, 31.45, 31.56, 31.22, 31.51, 31.85, 31.48, 31.22, 31.77, 31.7, 31.57, 31.33, 31.48, 31.74, 32.06, 32.28, 32.22, 32.08, 32.02, 32.07, 32.08, 31.96, 31.59, 31.82, 31.23, 31.72, 31.63, 31.38, 31.21]. The historical stock value data of HRI for the past 72 days is: [149.82, 149.5, 146.81, 145.79, 141.5, 138.96, 136.59, 139.95, 137.49, 138.41, 138.28, 138.47, 138.56, 137.6, 140.04, 141.26, 144.13, 143.04, 140.68, 150.03, 149.23, 151.51, 150.15, 145.43, 150.48, 151.75, 147.32, 146.0, 147.18, 148.31, 149.52, 152.52, 139.22, 141.52, 148.54, 145.31, 145.85, 146.3, 148.26, 150.33, 150.45, 151.56, 153.24, 157.17, 161.61, 167.21, 166.68, 161.34, 158.04, 155.01, 154.35, 155.41, 157.14, 155.63, 155.91, 156.56, 159.22, 162.0, 166.16, 163.95, 164.21, 166.12, 168.39, 166.7, 164.89, 161.45, 163.92, 161.29, 163.55, 164.1, 166.05, 160.2]. The historical stock value data of ATEC for the past 72 days is: [15.31, 15.36, 15.11, 14.85, 14.11, 14.09, 13.74, 14.99, 14.77, 14.97, 14.95, 14.94, 15.05, 15.11, 15.28, 15.44, 15.91, 16.0, 15.9, 16.13, 16.25, 16.67, 16.34, 16.09, 16.68, 16.62, 16.35, 16.6, 16.3, 16.65, 16.78, 16.38, 15.97, 15.79, 15.64, 15.52, 15.4, 15.37, 15.39, 15.27, 15.09, 15.34, 13.98, 13.43, 13.42, 13.49, 13.18, 13.02, 12.89, 12.8, 13.16, 13.33, 13.79, 13.35, 13.09, 13.51, 14.15, 13.78, 13.73, 13.22, 13.61, 13.41, 13.8, 13.79, 13.96, 13.49, 13.5, 13.39, 13.8, 14.0, 14.26, 14.13]. 
Option B: The historical stock value data of PTF for the past 72 days is: [51.27, 51.12, 50.51, 48.99, 47.74, 47.51, 47.14, 48.76, 48.84, 49.06, 48.88, 48.56, 48.64, 48.44, 49.05, 50.32, 51.5, 51.25, 50.89, 50.83, 50.62, 51.95, 51.57, 50.1, 50.75, 51.59, 51.49, 51.49, 51.92, 53.34, 55.25, 55.3, 53.42, 55.11, 55.11, 54.18, 52.87, 51.36, 53.72, 53.34, 54.8, 55.22, 54.67, 55.48, 56.88, 57.08, 54.49, 55.96, 57.04, 56.87, 55.93, 56.93, 56.83, 55.51, 55.48, 55.27, 55.07, 57.11, 58.02, 57.43, 58.59, 58.46, 58.31, 57.38, 57.43, 56.66, 57.15, 56.14, 57.17, 57.3, 56.88, 56.17]. The historical stock value data of BHAC for the past 72 days is: [10.34, 10.4, 10.46, 10.43, 10.41, 10.4, 10.43, 10.43, 10.43, 10.39, 10.42, 10.41, 10.42, 10.43, 10.43, 10.42, 10.43, 10.43, 10.44, 10.44, 10.44, 10.44, 10.45, 10.44, 10.46, 10.46, 10.46, 10.45, 10.45, 10.45, 10.44, 10.44, 10.43, 10.42, 10.44, 10.44, 10.44, 10.44, 10.45, 10.45, 10.44, 10.44, 10.46, 10.46, 10.46, 10.46, 10.45, 10.46, 10.47, 10.48, 10.48, 10.47, 10.47, 10.47, 10.47, 10.47, 10.48, 10.48, 10.47, 10.47, 10.49, 10.5, 10.5, 10.5, 10.5, 10.48, 10.48, 10.5, 10.5, 10.55, 10.5, 10.55]. The historical stock value data of WEA for the past 72 days is: [10.33, 10.24, 10.26, 10.22, 10.36, 10.32, 10.52, 10.6, 10.58, 10.52, 10.61, 10.66, 10.63, 10.45, 10.47, 10.31, 10.52, 10.61, 10.6, 10.64, 10.64, 10.7, 10.69, 10.62, 10.77, 10.67, 10.62, 10.64, 10.62, 10.61, 10.51, 10.55, 10.42, 10.45, 10.68, 10.71, 10.75, 10.72, 10.54, 10.55, 10.51, 10.56, 10.51, 10.58, 10.52, 10.44, 10.37, 10.35, 10.32, 10.27, 10.24, 10.2, 10.18, 10.13, 10.15, 10.25, 10.22, 10.22, 10.15, 10.17, 10.16, 10.18, 10.25, 10.3, 10.24, 10.24, 10.27, 10.35, 10.29, 10.38, 10.43, 10.25]. The historical stock value data of VLUE for the past 72 days is: [100.26, 100.32, 99.93, 100.07, 99.07, 98.55, 99.1, 100.11, 99.33, 99.11, 98.61, 98.34, 97.82, 96.98, 97.17, 98.48, 98.86, 99.23, 98.92, 100.26, 99.26, 99.61, 100.14, 99.08, 99.94, 99.51, 98.64, 99.08, 99.26, 99.3, 99.67, 100.76, 98.87, 99.77, 100.85, 100.36, 100.18, 100.39, 100.89, 101.13, 100.75, 101.13, 100.91, 101.58, 102.63, 103.12, 102.58, 103.5, 104.19, 103.8, 104.29, 104.53, 104.44, 103.27, 103.19, 103.53, 103.97, 105.25, 106.0, 105.51, 105.38, 105.34, 107.18, 107.69, 107.27, 106.18, 106.13, 105.02, 105.45, 105.36, 105.78, 103.65]. The historical stock value data of DTC for the past 72 days is: [6.2, 6.23, 6.16, 5.97, 5.54, 5.5, 5.9, 3.6, 3.5, 3.37, 3.2, 3.06, 3.0, 2.98, 2.97, 3.07, 3.01, 2.9, 2.91, 2.89, 2.8, 2.91, 2.92, 2.79, 2.77, 2.69, 2.59, 2.65, 2.6, 2.78, 2.85, 2.98, 2.77, 2.81, 2.81, 2.72, 2.64, 2.64, 2.6, 2.62, 2.58, 2.53, 2.65, 2.7, 2.73, 2.68, 2.57, 2.5, 2.45, 2.46, 2.48, 2.45, 2.41, 2.12, 2.34, 2.03, 2.16, 2.25, 2.22, 2.16, 2.12, 2.06, 2.1, 2.17, 2.03, 2.0, 1.94, 1.91, 1.91, 2.02, 1.98, 1.94]. The historical stock value data of BSTZ for the past 72 days is: [15.82, 15.74, 15.54, 15.27, 15.22, 15.3, 15.38, 15.71, 15.75, 15.8, 15.77, 15.71, 15.5, 15.42, 15.57, 15.76, 15.76, 15.72, 15.89, 15.8, 15.94, 16.14, 16.11, 15.9, 16.26, 16.28, 16.22, 16.4, 16.6, 16.94, 17.2, 17.45, 17.25, 17.48, 17.48, 17.36, 17.07, 16.96, 17.59, 17.65, 17.68, 17.78, 17.59, 17.56, 17.78, 17.77, 17.51, 17.85, 18.12, 18.05, 17.8, 17.95, 17.8, 17.71, 17.46, 17.48, 17.34, 17.52, 17.64, 17.77, 17.93, 18.05, 18.18, 18.36, 18.31, 18.07, 18.06, 17.92, 17.84, 17.95, 18.0, 17.54]. The historical stock value data of WPC for the past 72 days is: [62.68, 63.65, 62.8, 63.78, 62.54, 62.65, 62.84, 64.81, 64.74, 64.67, 64.52, 65.29, 64.94, 64.01, 63.12, 63.63, 62.81, 63.05, 61.74, 61.51, 60.9, 61.3, 60.42, 60.04, 60.77, 59.7, 58.11, 58.8, 59.02, 59.45, 55.6, 55.09, 54.15, 54.1, 55.53, 55.62, 55.18, 55.12, 54.84, 54.25, 53.14, 53.18, 53.91, 54.59, 54.62, 55.57, 55.02, 55.58, 55.32, 55.79, 56.34, 55.35, 54.71, 53.8, 54.26, 53.71, 54.19, 54.58, 54.75, 54.23, 53.86, 53.89, 55.1, 55.56, 55.19, 54.29, 54.08, 54.24, 54.41, 55.12, 56.86, 54.79]. The historical stock value data of FEMB for the past 72 days is: [28.34, 28.17, 28.05, 27.9, 27.66, 27.63, 27.78, 27.94, 27.86, 27.84, 28.05, 28.11, 27.54, 27.46, 27.58, 27.62, 27.55, 27.42, 27.38, 27.6, 27.54, 27.48, 27.58, 27.71, 27.93, 27.65, 27.39, 27.58, 27.57, 27.42, 27.49, 27.53, 27.28, 27.32, 27.5, 27.58, 27.61, 27.6, 27.45, 27.5, 27.42, 27.53, 27.39, 27.55, 27.64, 27.55, 27.72, 27.8, 27.86, 27.84, 27.87, 27.87, 27.85, 27.75, 27.63, 27.57, 27.46, 27.71, 27.65, 27.56, 27.61, 27.52, 27.61, 27.5, 27.35, 27.64, 27.67, 27.73, 27.74, 27.73, 27.83, 27.48]. The historical stock value data of AHOY for the past 72 days is: [21.72, 21.72, 21.69, 21.57, 21.33, 21.27, 21.28, 21.56, 21.49, 21.59, 21.6, 21.65, 21.47, 21.34, 21.48, 21.71, 21.82, 21.86, 21.82, 21.83, 21.93, 22.09, 22.08, 21.91, 22.24, 22.16, 22.08, 22.27, 22.51, 22.45, 22.46, 22.46, 22.32, 22.5, 22.88, 22.84, 22.84, 22.81, 22.89, 22.85, 22.8, 22.84, 22.77, 22.87, 23.13, 23.21, 23.13, 23.3, 23.7, 23.55, 23.4, 23.51, 23.47, 23.29, 23.19, 23.29, 23.36, 23.57, 23.58, 23.53, 23.37, 23.37, 23.58, 23.6, 23.5, 23.23, 23.26, 23.13, 23.2, 23.23, 23.33, 23.03]. 
Option C: The historical stock value data of HCI for the past 72 days is: [85.97, 85.08, 86.33, 87.35, 92.04, 88.54, 88.36, 87.76, 86.76, 85.21, 84.57, 84.83, 83.7, 87.15, 88.34, 87.29, 88.81, 93.76, 90.86, 90.04, 91.13, 90.99, 90.36, 88.57, 89.99, 89.75, 90.42, 90.95, 89.95, 91.88, 92.64, 93.84, 92.52, 93.91, 96.73, 98.27, 96.83, 94.73, 95.4, 98.69, 97.41, 97.83, 96.84, 96.83, 98.62, 98.29, 96.29, 97.36, 98.41, 112.03, 111.68, 111.49, 113.88, 110.89, 110.46, 108.76, 109.47, 112.96, 114.89, 117.76, 116.33, 118.0, 114.59, 115.14, 114.25, 115.02, 114.56, 112.56, 113.59, 115.07, 114.4, 111.97]. The historical stock value data of COLL for the past 72 days is: [30.78, 30.8, 30.78, 31.23, 33.86, 32.33, 32.3, 31.74, 32.28, 32.63, 32.61, 32.51, 32.35, 32.74, 32.87, 32.99, 33.51, 32.96, 33.14, 33.49, 33.18, 33.89, 33.45, 32.96, 33.47, 32.84, 33.09, 33.24, 33.21, 33.34, 33.48, 33.7, 32.19, 32.88, 33.95, 32.58, 32.08, 31.76, 32.81, 36.35, 36.56, 36.79, 36.57, 36.71, 37.13, 37.03, 36.31, 36.68, 37.2, 37.6, 37.5, 37.4, 38.3, 38.03, 39.09, 39.35, 37.96, 38.79, 39.66, 39.72, 40.16, 39.93, 40.91, 38.82, 38.88, 38.4, 39.45, 39.3, 39.99, 39.42, 38.79, 37.99]. The historical stock value data of FICS for the past 72 days is: [33.39, 33.35, 33.37, 33.05, 32.81, 33.01, 32.86, 33.22, 32.98, 33.25, 33.33, 33.66, 33.11, 32.84, 33.03, 33.07, 33.19, 33.03, 33.07, 33.13, 33.3, 33.45, 33.55, 33.3, 33.66, 33.4, 33.11, 33.4, 33.32, 33.38, 33.47, 33.37, 32.91, 33.43, 33.7, 33.79, 33.87, 33.92, 34.18, 34.27, 34.33, 34.26, 34.07, 34.21, 34.28, 34.24, 34.23, 34.52, 34.76, 34.65, 34.61, 34.84, 34.95, 34.67, 34.53, 34.39, 34.57, 34.93, 34.68, 34.62, 34.51, 34.61, 34.76, 34.65, 34.44, 34.06, 34.17, 33.9, 33.96, 34.0, 33.91, 33.53]. The historical stock value data of BGSF for the past 72 days is: [9.06, 9.28, 9.26, 9.26, 9.3, 9.39, 9.36, 9.69, 9.38, 9.32, 9.39, 9.5, 9.31, 9.3, 9.42, 9.46, 9.47, 9.71, 10.02, 10.29, 10.45, 10.37, 10.37, 10.05, 10.12, 10.12, 10.15, 10.12, 10.09, 10.07, 10.29, 10.07, 9.99, 10.2, 10.15, 10.11, 9.87, 9.28, 9.36, 9.51, 9.77, 10.09, 10.15, 10.23, 10.13, 10.05, 9.76, 9.53, 9.68, 9.7, 9.69, 9.81, 9.62, 9.87, 10.01, 10.02, 10.31, 10.25, 10.21, 10.25, 10.15, 10.11, 10.3, 10.41, 9.77, 9.75, 9.61, 9.61, 9.61, 9.46, 9.34, 9.39]. The historical stock value data of SVIX for the past 72 days is: [37.64, 37.75, 37.73, 37.81, 36.46, 36.51, 37.49, 38.38, 39.28, 39.62, 39.76, 39.19, 37.84, 36.51, 37.59, 38.52, 39.93, 41.0, 39.85, 39.74, 39.64, 39.44, 40.08, 37.67, 38.31, 38.33, 39.84, 40.75, 40.86, 41.04, 40.61, 39.87, 37.1, 38.75, 39.05, 38.95, 37.88, 38.17, 38.99, 40.26, 40.81, 41.45, 40.83, 41.32, 41.12, 41.28, 39.9, 39.52, 39.51, 38.67, 38.93, 40.82, 41.18, 39.7, 39.2, 40.2, 40.91, 41.82, 42.32, 41.97, 42.27, 42.5, 43.28, 42.36, 42.11, 41.0, 41.17, 38.52, 38.55, 40.1, 40.37, 39.56]. The historical stock value data of DRS for the past 72 days is: [19.67, 20.19, 20.04, 19.72, 19.18, 19.2, 18.88, 19.33, 18.66, 19.17, 19.16, 19.35, 19.03, 19.04, 19.24, 19.08, 19.63, 19.37, 19.31, 19.55, 19.58, 19.95, 19.67, 19.41, 19.88, 19.16, 19.1, 19.15, 19.25, 19.73, 19.9, 20.05, 19.67, 20.89, 21.2, 21.12, 20.94, 20.87, 21.0, 21.26, 21.09, 22.93, 22.5, 22.71, 22.84, 23.04, 22.81, 23.28, 23.6, 23.41, 22.8, 22.99, 23.0, 21.97, 21.97, 21.55, 22.09, 22.09, 22.3, 21.89, 21.75, 21.85, 21.83, 22.09, 21.52, 20.74, 20.44, 20.65, 20.9, 21.17, 20.91, 20.77]. The historical stock value data of EBLU for the past 72 days is: [43.56, 43.56, 43.53, 42.98, 42.42, 42.39, 42.36, 42.67, 42.57, 42.76, 42.5, 42.72, 42.28, 41.75, 41.99, 42.06, 42.59, 42.37, 41.86, 42.19, 42.26, 42.66, 42.71, 42.19, 42.76, 42.8, 42.17, 42.57, 43.03, 43.21, 43.63, 43.85, 43.28, 43.64, 44.2, 44.08, 44.23, 44.2, 44.52, 44.6, 44.47, 44.58, 44.61, 44.6, 44.99, 45.14, 44.5, 44.91, 45.33, 45.26, 45.15, 45.45, 45.43, 45.18, 45.28, 45.18, 45.62, 46.08, 46.46, 46.3, 46.09, 46.05, 46.53, 46.41, 46.05, 45.69, 45.9, 45.79, 45.89, 45.87, 46.05, 45.11]. The historical stock value data of AA for the past 72 days is: [34.49, 34.23, 33.68, 33.0, 31.2, 30.84, 31.83, 31.44, 31.64, 31.36, 30.59, 29.75, 27.61, 26.93, 26.5, 27.11, 27.36, 29.24, 29.48, 29.6, 30.33, 30.62, 30.33, 29.47, 29.41, 29.22, 26.59, 27.36, 27.27, 27.45, 26.64, 27.64, 25.61, 26.54, 27.14, 27.15, 26.44, 27.7, 27.49, 26.27, 25.1, 26.45, 26.08, 26.96, 27.42, 27.32, 26.76, 28.06, 29.7, 29.68, 30.32, 29.62, 30.39, 29.85, 30.27, 30.85, 29.5, 31.17, 31.17, 31.22, 31.68, 31.4, 33.02, 33.6, 33.83, 35.44, 36.97, 35.75, 36.28, 36.13, 36.61, 35.98]. The historical stock value data of RPAY for the past 72 days is: [8.51, 8.72, 8.54, 8.44, 8.18, 8.07, 8.06, 8.23, 8.13, 8.09, 8.0, 7.83, 7.53, 7.32, 7.13, 7.35, 7.76, 7.68, 7.54, 7.59, 7.72, 8.0, 7.93, 7.84, 8.16, 8.07, 7.99, 7.99, 7.97, 8.06, 8.16, 8.38, 8.2, 8.72, 8.61, 7.96, 8.07, 8.16, 8.33, 8.33, 8.44, 8.66, 8.54, 8.69, 9.89, 9.96, 9.43, 9.68, 9.57, 10.06, 9.98, 10.89, 10.83, 10.7, 10.57, 10.63, 10.66, 10.97, 10.93, 10.84, 10.78, 10.86, 11.05, 11.0, 10.78, 10.35, 10.47, 10.13, 10.07, 10.29, 10.31, 9.92]. ",external_data_mc/answer_info/answer_info_91.pkl,external_data_mc/executor_variables/executor_variables_91.pkl
92,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 6 stocks' price data for 24 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: TGS, AIXI, QTUM, MOGO, CLST, FCOM weighted by : [0.465, 0.1, 0.387, 0.0, 0.011, 0.037].     Option B: The portfolio contains the following stocks: CSB, SNTI, SOL, LTRN, HFFG, PTIX weighted by : [0.146, 0.169, 0.194, 0.151, 0.194, 0.148].     Option C: The portfolio contains the following stocks: HESM, BNRG, HFND, ALRS, DE, ARGD weighted by : [0.164, 0.057, 0.205, 0.188, 0.16, 0.227]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: TGS, AIXI, QTUM, MOGO, CLST, FCOM weighted by : [0.465, 0.1, 0.387, 0.0, 0.011, 0.037]. ', 'Option B: The portfolio contains the following stocks: CSB, SNTI, SOL, LTRN, HFFG, PTIX weighted by : [0.146, 0.169, 0.194, 0.151, 0.194, 0.148]. ', 'Option C: The portfolio contains the following stocks: HESM, BNRG, HFND, ALRS, DE, ARGD weighted by : [0.164, 0.057, 0.205, 0.188, 0.16, 0.227]. ']",B,"Option A: The historical stock value data of TGS for the past 40 days is: [15.03, 14.91, 15.09, 15.18, 14.95, 14.27, 14.35, 14.3, 13.71, 13.88, 13.81, 14.41, 14.06, 14.17, 14.17, 14.41, 14.78, 14.6, 14.7, 15.23, 15.47, 15.15, 15.03, 14.93, 15.18, 14.95, 14.31, 14.27, 13.3, 12.81, 13.54, 13.57, 13.6, 13.37, 13.6, 13.48, 13.21, 13.2, 14.2, 14.39]. The historical stock value data of AIXI for the past 40 days is: [19.89, 20.25, 20.43, 19.08, 18.45, 18.81, 17.37, 18.0, 17.91, 18.18, 17.1, 17.64, 16.42, 15.66, 16.11, 14.49, 14.22, 15.21, 16.38, 16.92, 17.1, 17.1, 17.46, 17.1, 17.28, 16.74, 18.45, 17.64, 18.36, 19.35, 21.06, 19.08, 19.26, 18.99, 18.45, 19.53, 19.08, 18.81, 17.1, 16.83]. The historical stock value data of QTUM for the past 40 days is: [54.46, 54.41, 54.06, 52.95, 52.26, 52.06, 51.93, 53.19, 53.1, 53.18, 53.32, 53.31, 53.14, 52.62, 53.69, 54.67, 55.25, 55.4, 55.59, 55.56, 54.99, 55.41, 55.04, 54.51, 54.88, 55.18, 55.2, 55.24, 55.57, 56.37, 57.31, 57.61, 56.08, 57.26, 57.61, 57.55, 57.05, 56.72, 58.34, 58.03]. The historical stock value data of MOGO for the past 40 days is: [2.01, 1.95, 1.84, 1.89, 1.86, 1.91, 1.89, 1.96, 1.91, 1.89, 1.82, 1.78, 1.65, 1.66, 1.66, 1.61, 1.55, 1.5, 1.45, 1.44, 1.5, 1.56, 1.52, 1.46, 1.66, 1.66, 1.64, 1.61, 1.6, 1.61, 1.77, 1.88, 1.67, 1.68, 1.78, 1.81, 1.72, 1.71, 1.68, 1.62]. The historical stock value data of CLST for the past 40 days is: [10.85, 10.73, 10.84, 11.02, 10.9, 11.29, 11.55, 11.69, 12.0, 12.0, 11.99, 11.96, 11.97, 11.99, 11.96, 11.99, 11.98, 11.89, 11.98, 11.94, 11.98, 12.05, 12.1, 11.9, 11.99, 11.98, 12.04, 11.9, 11.9, 11.92, 11.92, 11.9, 11.97, 11.99, 11.99, 11.91, 11.9, 11.98, 12.03, 11.98]. The historical stock value data of FCOM for the past 40 days is: [44.49, 44.6, 44.35, 43.94, 43.66, 43.55, 43.75, 44.49, 44.37, 44.82, 44.62, 44.75, 44.43, 44.18, 44.71, 45.37, 45.54, 46.03, 46.29, 46.98, 47.15, 47.66, 47.29, 46.01, 46.45, 48.43, 47.72, 47.8, 47.81, 48.0, 48.09, 48.33, 47.56, 48.32, 48.69, 47.9, 47.69, 47.64, 48.31, 48.14]. 
Option B: The historical stock value data of CSB for the past 40 days is: [55.47, 55.26, 54.77, 54.77, 53.57, 53.45, 53.28, 53.89, 53.17, 53.07, 52.71, 52.48, 51.73, 51.38, 51.68, 52.19, 53.15, 52.88, 52.63, 52.82, 52.97, 53.54, 53.44, 51.98, 52.56, 52.12, 51.29, 51.54, 51.41, 51.73, 52.08, 53.05, 51.04, 51.64, 53.09, 52.62, 52.35, 52.44, 52.4, 52.56]. The historical stock value data of SNTI for the past 40 days is: [5.92, 5.91, 6.6, 6.61, 6.38, 6.5, 6.1, 5.73, 5.16, 5.03, 5.38, 5.39, 5.0, 4.38, 4.17, 4.17, 4.22, 4.41, 4.41, 4.11, 4.39, 4.72, 4.79, 4.5, 4.58, 4.6, 4.18, 4.59, 4.47, 4.31, 4.34, 4.35, 4.29, 4.18, 4.25, 4.11, 4.0, 4.18, 4.19, 4.1]. The historical stock value data of SOL for the past 40 days is: [2.8, 2.77, 2.73, 2.7, 2.59, 2.58, 2.5, 2.48, 2.38, 2.35, 2.26, 2.26, 2.09, 2.06, 2.03, 2.04, 2.06, 2.08, 1.95, 2.05, 1.95, 1.87, 1.8, 1.71, 1.71, 1.67, 1.59, 1.56, 1.59, 1.65, 1.78, 2.09, 2.04, 2.09, 2.17, 2.15, 2.14, 2.03, 1.97, 1.98]. The historical stock value data of LTRN for the past 40 days is: [3.99, 4.39, 4.28, 4.17, 4.2, 4.18, 4.14, 4.37, 4.2, 4.16, 4.04, 4.07, 3.91, 3.73, 3.84, 4.04, 4.14, 4.13, 4.21, 4.19, 4.29, 4.24, 4.09, 4.22, 4.23, 4.25, 4.15, 4.18, 4.22, 4.15, 4.23, 4.11, 3.95, 4.05, 4.01, 4.14, 3.99, 3.9, 3.87, 3.91]. The historical stock value data of HFFG for the past 40 days is: [5.46, 5.45, 5.34, 5.48, 5.4, 5.48, 5.36, 5.41, 5.38, 5.46, 5.48, 5.46, 5.36, 5.3, 5.14, 5.2, 5.47, 5.66, 5.81, 5.7, 5.54, 5.27, 5.2, 5.0, 4.97, 4.62, 4.59, 4.63, 4.35, 4.33, 4.61, 3.99, 3.85, 4.0, 3.9, 3.84, 4.13, 4.15, 3.99, 3.91]. The historical stock value data of PTIX for the past 40 days is: [0.86, 0.98, 0.99, 0.92, 0.92, 0.96, 0.95, 0.86, 0.86, 0.9, 0.84, 0.84, 0.85, 0.86, 0.87, 0.87, 0.91, 0.95, 0.94, 0.9, 0.89, 0.76, 0.87, 0.95, 0.95, 0.97, 0.84, 0.97, 0.9, 0.96, 0.96, 0.96, 0.97, 0.96, 0.96, 1.0, 1.0, 0.88, 0.98, 0.89]. 
Option C: The historical stock value data of HESM for the past 40 days is: [30.02, 29.89, 29.86, 29.95, 30.06, 29.83, 29.75, 29.58, 29.48, 29.54, 29.82, 30.45, 30.54, 30.56, 30.55, 30.34, 30.9, 31.04, 31.32, 31.82, 32.01, 32.15, 32.23, 31.92, 32.27, 32.32, 32.72, 31.42, 31.4, 31.3, 31.06, 31.53, 31.54, 31.49, 31.97, 32.03, 32.39, 32.9, 33.45, 33.34]. The historical stock value data of BNRG for the past 40 days is: [6.09, 5.89, 5.85, 5.73, 5.69, 5.73, 5.59, 5.69, 5.56, 5.79, 6.23, 6.11, 5.91, 5.98, 5.98, 5.98, 5.79, 4.89, 4.79, 4.15, 4.43, 4.35, 4.13, 4.4, 4.36, 4.25, 4.44, 4.42, 4.25, 4.48, 4.52, 4.01, 3.79, 4.09, 4.0, 3.95, 4.16, 4.25, 4.17, 3.99]. The historical stock value data of HFND for the past 40 days is: [20.85, 20.87, 20.82, 20.69, 20.62, 20.56, 20.61, 20.72, 20.64, 20.67, 20.72, 20.74, 20.61, 20.52, 20.56, 20.6, 20.69, 20.65, 20.66, 20.73, 20.73, 20.84, 20.8, 20.81, 20.86, 20.83, 20.68, 20.83, 20.83, 20.87, 20.91, 20.9, 20.73, 20.83, 21.07, 21.0, 21.12, 21.02, 21.19, 21.12]. The historical stock value data of ALRS for the past 40 days is: [22.16, 21.92, 21.75, 21.46, 20.99, 21.08, 20.87, 20.97, 20.79, 20.96, 20.8, 20.46, 20.03, 20.12, 20.3, 20.44, 21.09, 21.04, 21.12, 22.36, 22.75, 23.32, 23.8, 22.06, 22.62, 21.87, 21.62, 21.6, 21.42, 21.61, 21.85, 22.51, 21.0, 21.25, 22.33, 22.21, 21.62, 21.61, 21.1, 21.11]. The historical stock value data of DE for the past 40 days is: [397.14, 396.24, 396.84, 397.87, 390.37, 389.42, 392.96, 394.97, 390.24, 390.73, 387.26, 383.58, 382.43, 375.74, 378.5, 379.82, 381.68, 384.52, 385.47, 390.03, 390.64, 394.67, 393.92, 390.6, 390.7, 389.63, 383.11, 385.95, 383.03, 382.91, 378.4, 386.44, 376.4, 381.87, 361.9, 357.95, 354.67, 354.58, 354.08, 361.9]. The historical stock value data of ARGD for the past 40 days is: [22.44, 22.53, 21.84, 21.82, 21.82, 21.82, 21.79, 21.87, 21.94, 21.92, 21.98, 21.91, 21.77, 21.75, 21.61, 21.61, 21.72, 21.73, 21.94, 22.16, 22.11, 22.03, 22.06, 21.24, 21.74, 21.73, 21.66, 21.83, 21.81, 21.77, 21.91, 21.85, 21.79, 21.68, 22.08, 22.09, 21.82, 22.08, 22.13, 22.13]. ",external_data_mc/answer_info/answer_info_92.pkl,external_data_mc/executor_variables/executor_variables_92.pkl
93,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' price data for 10 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: ATCOL, FFEB weighted by : [0.33, 0.67].     Option B: The portfolio contains the following stocks: WEC, PLTR weighted by : [0.703, 0.297].     Option C: The portfolio contains the following stocks: SIGI, JUCY weighted by : [0.439, 0.561]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ATCOL, FFEB weighted by : [0.33, 0.67]. ', 'Option B: The portfolio contains the following stocks: WEC, PLTR weighted by : [0.703, 0.297]. ', 'Option C: The portfolio contains the following stocks: SIGI, JUCY weighted by : [0.439, 0.561]. ']",B,"Option A: The historical stock value data of ATCOL for the past 43 days is: [23.71, 23.75, 23.79, 23.72, 23.74, 23.72, 23.82, 23.77, 23.84, 23.94, 23.95, 23.83, 23.84, 23.89, 23.9, 23.92, 23.96, 24.02, 23.94, 24.0, 23.94, 23.94, 23.92, 23.96, 23.96, 23.9, 23.9, 24.11, 23.97, 24.14, 24.0, 24.06, 23.93, 23.94, 24.14, 23.97, 24.29, 24.18, 24.36, 24.36, 24.3, 24.22, 24.31]. The historical stock value data of FFEB for the past 43 days is: [43.83, 43.86, 43.86, 43.84, 43.88, 43.89, 43.94, 43.76, 43.81, 44.38, 44.36, 44.31, 44.34, 44.3, 44.42, 44.68, 44.62, 44.35, 44.49, 44.73, 44.55, 44.52, 44.85, 44.81, 44.7, 44.56, 44.72, 44.88, 45.09, 45.15, 45.2, 45.05, 44.98, 45.21, 45.28, 45.15, 45.01, 45.06, 44.7, 45.02, 45.01, 45.02, 44.85]. 
Option B: The historical stock value data of WEC for the past 43 days is: [75.12, 75.26, 76.06, 75.01, 75.19, 76.52, 76.59, 76.52, 77.78, 76.76, 77.36, 75.09, 75.99, 75.73, 77.0, 76.9, 78.2, 78.21, 79.68, 80.0, 80.13, 80.54, 79.47, 79.23, 78.85, 79.24, 79.48, 79.46, 79.03, 78.52, 78.49, 78.38, 77.15, 79.64, 80.56, 80.01, 80.33, 79.68, 79.49, 78.75, 79.78, 80.35, 78.2]. The historical stock value data of PLTR for the past 43 days is: [24.51, 24.38, 25.05, 24.01, 25.19, 25.41, 24.44, 23.4, 22.74, 23.59, 22.97, 23.56, 24.53, 24.42, 25.08, 24.93, 24.04, 23.81, 26.16, 26.46, 26.04, 25.35, 24.7, 25.0, 24.43, 23.49, 24.0, 23.8, 24.57, 24.49, 24.18, 24.51, 24.89, 24.51, 23.01, 22.86, 22.72, 22.7, 22.48, 22.96, 23.0, 22.81, 22.42]. 
Option C: The historical stock value data of SIGI for the past 43 days is: [96.11, 98.97, 101.8, 100.53, 102.95, 104.69, 102.94, 101.47, 99.63, 100.93, 102.0, 102.14, 102.81, 102.87, 103.68, 103.15, 103.95, 102.44, 103.87, 104.24, 103.72, 103.9, 103.49, 103.87, 102.51, 102.04, 101.42, 102.55, 102.4, 103.31, 102.25, 102.89, 104.54, 106.6, 108.34, 106.08, 104.16, 104.22, 103.59, 103.7, 104.5, 102.78, 103.28]. The historical stock value data of JUCY for the past 43 days is: [22.66, 22.62, 22.56, 22.59, 22.59, 22.63, 22.59, 22.65, 22.64, 22.53, 22.57, 22.57, 22.61, 22.63, 22.63, 22.62, 22.64, 22.69, 22.67, 22.66, 22.71, 22.72, 22.78, 22.71, 22.69, 22.7, 22.71, 22.73, 22.75, 22.72, 22.77, 22.75, 22.81, 22.79, 22.76, 22.79, 22.81, 22.82, 22.82, 22.81, 22.82, 22.85, 22.78]. ",external_data_mc/answer_info/answer_info_93.pkl,external_data_mc/executor_variables/executor_variables_93.pkl
94,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 3 stocks' price data for 21 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: GFAI, ZIM, ASHR weighted by : [0.199, 0.537, 0.263].     Option B: The portfolio contains the following stocks: FBP, JANW, OILD weighted by : [0.453, 0.477, 0.07].     Option C: The portfolio contains the following stocks: MCB, LGIH, ODC weighted by : [0.22, 0.302, 0.478]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: GFAI, ZIM, ASHR weighted by : [0.199, 0.537, 0.263]. ', 'Option B: The portfolio contains the following stocks: FBP, JANW, OILD weighted by : [0.453, 0.477, 0.07]. ', 'Option C: The portfolio contains the following stocks: MCB, LGIH, ODC weighted by : [0.22, 0.302, 0.478]. ']",A,"Option A: The historical stock value data of GFAI for the past 61 days is: [4.3, 4.02, 4.16, 4.27, 4.3, 4.18, 4.36, 4.61, 4.39, 4.31, 4.45, 4.59, 4.52, 4.39, 4.49, 4.52, 4.19, 4.25, 4.19, 4.28, 4.11, 3.91, 3.4, 3.08, 3.42, 3.25, 3.25, 3.14, 3.17, 3.29, 3.2, 3.69, 3.76, 3.64, 3.68, 3.59, 3.19, 3.15, 3.23, 3.43, 3.67, 3.66, 3.67, 3.8, 3.43, 3.5, 3.55, 3.74, 3.75, 3.85, 3.79, 3.88, 3.89, 3.64, 3.49, 3.37, 3.37, 3.27, 3.1, 3.36, 3.49]. The historical stock value data of ZIM for the past 61 days is: [10.76, 10.46, 10.75, 10.25, 9.91, 9.64, 9.72, 9.84, 9.34, 8.98, 9.02, 8.77, 9.2, 9.2, 9.09, 8.98, 8.59, 9.19, 9.12, 9.0, 8.63, 8.24, 7.97, 7.58, 8.01, 7.99, 8.23, 7.66, 7.44, 7.29, 7.29, 7.74, 7.43, 7.29, 7.11, 6.93, 7.06, 6.96, 6.71, 7.34, 7.06, 6.84, 7.17, 6.61, 6.53, 6.5, 6.5, 6.24, 6.2, 6.52, 6.59, 7.17, 7.59, 6.86, 6.83, 6.79, 6.93, 7.17, 6.86, 7.1, 7.69]. The historical stock value data of ASHR for the past 61 days is: [25.19, 24.9, 25.55, 25.24, 25.16, 25.2, 25.18, 25.37, 25.18, 24.91, 24.72, 24.84, 25.13, 25.17, 25.22, 25.24, 25.0, 24.85, 24.8, 24.69, 24.35, 23.96, 23.69, 23.66, 24.06, 23.78, 23.93, 24.06, 24.42, 24.29, 24.33, 24.21, 24.59, 24.76, 24.76, 24.6, 24.47, 24.38, 24.52, 24.88, 24.84, 24.37, 24.63, 24.92, 24.79, 24.5, 24.58, 24.32, 24.47, 24.22, 24.22, 24.18, 23.95, 23.47, 23.38, 23.47, 23.37, 23.64, 23.62, 23.51, 23.49]. 
Option B: The historical stock value data of FBP for the past 61 days is: [12.93, 12.74, 12.73, 13.01, 12.88, 12.94, 13.17, 12.99, 13.17, 12.57, 12.98, 13.28, 13.37, 13.22, 13.24, 13.37, 13.32, 13.09, 13.37, 13.56, 13.34, 13.19, 12.63, 12.69, 12.68, 12.5, 12.81, 12.69, 12.83, 12.88, 13.01, 13.5, 13.91, 13.79, 13.69, 13.61, 13.47, 13.52, 13.54, 14.48, 14.64, 14.46, 14.69, 14.66, 14.43, 14.63, 14.55, 14.49, 14.48, 14.6, 14.61, 15.22, 15.5, 15.42, 15.12, 15.49, 15.63, 15.6, 15.45, 16.14, 16.46]. The historical stock value data of JANW for the past 61 days is: [29.12, 28.94, 28.91, 28.93, 28.75, 28.75, 28.84, 28.82, 28.8, 28.57, 28.71, 28.72, 28.93, 28.99, 29.1, 29.21, 29.11, 29.0, 29.21, 29.18, 28.99, 28.87, 28.67, 28.64, 28.78, 28.5, 28.26, 28.14, 28.41, 28.55, 28.77, 29.14, 29.31, 29.3, 29.39, 29.42, 29.3, 29.53, 29.55, 29.77, 29.8, 29.82, 29.83, 29.89, 29.92, 29.99, 29.97, 29.99, 30.0, 29.99, 29.99, 30.03, 30.05, 30.05, 30.06, 30.1, 30.11, 30.16, 30.14, 30.15, 30.15]. The historical stock value data of OILD for the past 61 days is: [17.93, 18.71, 18.66, 17.91, 18.28, 16.83, 16.73, 17.72, 18.9, 18.93, 20.92, 21.06, 20.41, 18.26, 18.2, 18.58, 18.61, 17.4, 17.07, 16.57, 16.1, 16.28, 17.12, 17.9, 18.68, 18.74, 19.19, 20.37, 20.26, 20.01, 20.15, 18.37, 18.9, 19.69, 21.14, 21.86, 22.14, 21.35, 20.92, 20.45, 20.45, 21.7, 20.45, 20.34, 20.52, 20.59, 20.33, 20.62, 20.61, 21.09, 20.72, 20.45, 20.91, 21.96, 23.04, 23.43, 22.75, 22.64, 23.57, 22.51, 20.47]. 
Option C: The historical stock value data of MCB for the past 61 days is: [34.78, 33.91, 33.72, 34.43, 33.91, 34.22, 34.96, 36.28, 35.12, 34.27, 34.71, 33.55, 32.71, 31.78, 32.34, 32.05, 31.25, 30.26, 32.46, 33.8, 33.24, 32.21, 33.1, 31.62, 32.62, 31.73, 32.68, 32.01, 32.59, 32.41, 32.66, 35.21, 37.34, 37.25, 36.45, 34.64, 33.69, 34.2, 34.8, 37.52, 37.76, 36.59, 37.61, 38.25, 36.29, 37.02, 37.72, 36.81, 37.41, 38.77, 38.97, 41.89, 42.17, 42.96, 43.97, 46.14, 45.96, 45.59, 45.28, 49.35, 52.17]. The historical stock value data of LGIH for the past 61 days is: [107.25, 103.33, 103.16, 102.34, 99.82, 99.34, 100.93, 99.49, 99.79, 97.49, 98.6, 93.32, 95.86, 96.06, 98.25, 97.65, 93.04, 93.6, 93.59, 94.35, 90.8, 88.21, 87.69, 89.29, 88.21, 85.3, 87.91, 87.68, 88.88, 94.51, 100.05, 106.6, 111.13, 109.25, 110.6, 109.76, 109.17, 112.38, 112.19, 124.91, 123.04, 120.79, 122.58, 121.14, 119.46, 119.05, 119.8, 117.84, 118.44, 119.25, 118.07, 121.48, 122.73, 120.5, 120.64, 119.5, 119.97, 117.93, 113.99, 124.21, 133.09]. The historical stock value data of ODC for the past 61 days is: [62.71, 61.13, 61.64, 61.46, 61.38, 59.93, 60.45, 60.66, 59.54, 59.51, 60.5, 64.02, 62.61, 61.74, 62.56, 61.86, 60.96, 55.77, 56.34, 57.62, 56.53, 55.87, 56.27, 55.81, 56.53, 55.32, 54.92, 55.07, 56.35, 56.27, 55.72, 56.02, 56.29, 56.94, 57.6, 57.4, 57.12, 56.88, 57.78, 58.98, 58.15, 56.9, 57.09, 57.11, 56.38, 57.31, 57.04, 56.7, 56.28, 56.18, 56.04, 55.29, 54.8, 57.45, 56.65, 56.53, 58.28, 58.16, 63.86, 68.49, 68.74]. ",external_data_mc/answer_info/answer_info_94.pkl,external_data_mc/executor_variables/executor_variables_94.pkl
95,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' price data for 11 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: INFN, RNR weighted by : [0.331, 0.669].     Option B: The portfolio contains the following stocks: IBRN, SHIP weighted by : [0.98, 0.02].     Option C: The portfolio contains the following stocks: UNH, ECLN weighted by : [0.231, 0.769]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: INFN, RNR weighted by : [0.331, 0.669]. ', 'Option B: The portfolio contains the following stocks: IBRN, SHIP weighted by : [0.98, 0.02]. ', 'Option C: The portfolio contains the following stocks: UNH, ECLN weighted by : [0.231, 0.769]. ']",A,"Option A: The historical stock value data of INFN for the past 65 days is: [3.96, 3.91, 3.89, 4.23, 4.2, 4.24, 4.42, 4.42, 4.5, 4.52, 4.46, 4.67, 4.83, 4.69, 4.61, 4.7, 4.58, 4.72, 4.75, 4.85, 4.85, 4.81, 4.75, 4.71, 4.55, 4.29, 4.38, 4.5, 4.49, 4.58, 4.85, 4.84, 4.89, 4.89, 5.15, 4.98, 5.09, 5.14, 5.13, 5.28, 5.12, 5.25, 5.2, 4.94, 5.09, 5.18, 4.98, 5.23, 5.47, 5.21, 5.35, 5.33, 4.86, 5.05, 5.21, 5.11, 5.04, 4.88, 5.16, 4.95, 5.18, 5.22, 5.11, 5.02, 5.35]. The historical stock value data of RNR for the past 65 days is: [211.38, 209.69, 212.9, 211.82, 207.34, 207.2, 201.47, 198.27, 199.3, 201.61, 206.71, 200.1, 194.04, 195.14, 197.51, 198.93, 191.76, 193.58, 193.53, 191.72, 192.36, 193.79, 195.03, 199.15, 201.44, 201.09, 200.29, 201.73, 200.18, 199.66, 203.15, 203.97, 208.17, 204.6, 208.7, 208.87, 208.05, 207.06, 208.29, 208.54, 212.26, 213.48, 214.0, 227.7, 222.08, 225.13, 226.47, 226.55, 233.39, 225.39, 224.82, 225.12, 226.75, 227.05, 227.48, 225.64, 221.62, 220.46, 223.3, 225.33, 224.14, 225.07, 227.97, 223.71, 222.25]. 
Option B: The historical stock value data of IBRN for the past 65 days is: [21.05, 21.12, 21.46, 21.97, 22.5, 22.81, 22.89, 23.01, 22.99, 23.0, 23.4, 24.32, 24.57, 24.58, 24.66, 25.14, 24.25, 24.67, 25.84, 26.28, 26.61, 26.61, 26.23, 25.91, 25.6, 26.01, 25.75, 26.61, 26.76, 26.4, 25.91, 25.96, 25.79, 25.56, 25.37, 25.45, 25.95, 25.9, 25.55, 25.7, 25.68, 26.08, 25.74, 25.51, 25.65, 25.32, 25.39, 25.87, 25.54, 25.67, 25.91, 26.1, 25.33, 25.67, 26.19, 26.04, 25.71, 25.52, 25.75, 25.89, 26.12, 26.57, 25.99, 25.75, 26.35]. The historical stock value data of SHIP for the past 65 days is: [6.36, 6.8, 7.08, 7.13, 6.72, 6.62, 6.94, 6.83, 6.82, 6.81, 6.86, 6.93, 6.95, 7.07, 7.0, 6.96, 6.85, 7.0, 7.16, 7.22, 7.48, 7.62, 7.63, 7.39, 7.55, 7.76, 7.87, 7.13, 6.86, 7.18, 7.04, 7.4, 7.3, 7.25, 7.99, 7.8, 7.67, 7.55, 7.68, 7.36, 7.81, 7.5, 7.47, 7.28, 7.01, 7.16, 7.29, 7.38, 7.23, 7.21, 7.02, 7.11, 7.23, 7.12, 7.1, 7.32, 7.24, 7.33, 7.53, 7.84, 7.51, 7.65, 7.92, 7.97, 8.12]. 
Option C: The historical stock value data of UNH for the past 65 days is: [532.42, 526.96, 544.68, 540.79, 541.9, 543.86, 543.13, 541.89, 543.37, 537.35, 539.37, 542.62, 528.02, 524.94, 520.42, 517.94, 509.93, 513.83, 514.25, 513.98, 516.71, 518.79, 520.34, 533.06, 535.72, 539.07, 531.13, 530.28, 532.1, 531.38, 533.4, 515.44, 513.11, 518.83, 510.33, 497.7, 507.02, 509.52, 507.26, 487.66, 497.34, 498.67, 497.75, 505.78, 501.24, 504.29, 497.11, 504.73, 513.34, 514.04, 512.19, 511.62, 510.83, 510.92, 514.82, 515.48, 515.0, 515.89, 520.37, 521.1, 519.21, 507.44, 492.48, 487.85, 483.83]. The historical stock value data of ECLN for the past 65 days is: [23.29, 23.24, 23.38, 23.68, 23.62, 23.4, 23.61, 23.56, 23.57, 23.53, 23.37, 24.09, 24.06, 23.74, 23.74, 23.93, 23.54, 23.69, 23.78, 23.92, 23.83, 23.91, 23.88, 24.07, 24.09, 24.03, 24.07, 24.19, 24.06, 23.96, 23.53, 23.67, 23.37, 23.07, 22.91, 22.87, 22.85, 22.87, 22.68, 22.97, 23.01, 23.13, 23.23, 23.04, 23.37, 23.07, 22.6, 22.63, 22.62, 22.56, 22.6, 22.92, 22.54, 22.63, 23.06, 23.13, 23.09, 23.34, 23.2, 23.22, 22.87, 23.1, 22.99, 23.07, 23.02]. ",external_data_mc/answer_info/answer_info_95.pkl,external_data_mc/executor_variables/executor_variables_95.pkl
96,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' price data for 13 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: SITE, DUHP weighted by : [0.117, 0.883].     Option B: The portfolio contains the following stocks: SCHA, ULST weighted by : [0.605, 0.395].     Option C: The portfolio contains the following stocks: ME, MIRM weighted by : [0.263, 0.737]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: SITE, DUHP weighted by : [0.117, 0.883]. ', 'Option B: The portfolio contains the following stocks: SCHA, ULST weighted by : [0.605, 0.395]. ', 'Option C: The portfolio contains the following stocks: ME, MIRM weighted by : [0.263, 0.737]. ']",C,"Option A: The historical stock value data of SITE for the past 34 days is: [154.44, 155.68, 152.78, 154.32, 151.89, 149.97, 152.09, 154.82, 152.08, 136.47, 135.98, 131.5, 128.14, 129.08, 131.12, 134.53, 132.09, 131.21, 129.89, 131.02, 131.3, 130.87, 131.31, 125.46, 123.96, 122.2, 121.41, 117.46, 116.57, 118.01, 116.45, 116.31, 115.64, 120.17]. The historical stock value data of DUHP for the past 34 days is: [31.31, 31.19, 31.02, 31.16, 31.11, 30.85, 30.79, 31.08, 31.0, 31.02, 31.37, 31.34, 31.37, 31.47, 31.56, 31.77, 31.9, 31.88, 32.21, 32.4, 32.28, 32.19, 32.15, 32.17, 32.1, 31.99, 31.99, 31.95, 32.08, 32.19, 32.29, 32.31, 32.32, 32.6]. 
Option B: The historical stock value data of SCHA for the past 34 days is: [48.55, 48.25, 47.48, 47.94, 47.77, 47.15, 47.55, 47.98, 47.78, 47.14, 47.78, 47.49, 47.03, 47.17, 46.98, 47.71, 47.18, 46.55, 46.9, 46.99, 46.75, 46.92, 47.16, 46.94, 46.84, 47.22, 47.45, 47.06, 47.16, 47.23, 46.96, 47.19, 46.99, 47.44]. The historical stock value data of ULST for the past 34 days is: [39.77, 39.76, 39.77, 39.77, 39.75, 39.75, 39.77, 39.78, 39.81, 39.83, 39.85, 39.84, 39.83, 39.83, 39.84, 39.91, 39.92, 39.93, 39.91, 39.94, 39.94, 39.95, 39.94, 39.94, 39.93, 39.93, 39.95, 39.94, 39.96, 40.0, 40.03, 40.05, 40.05, 40.06]. 
Option C: The historical stock value data of ME for the past 34 days is: [0.53, 0.52, 0.51, 0.51, 0.54, 0.61, 0.56, 0.55, 0.53, 0.45, 0.44, 0.42, 0.4, 0.4, 0.41, 0.41, 0.41, 0.4, 0.4, 0.41, 0.42, 0.42, 0.44, 0.44, 0.4, 0.42, 0.39, 0.38, 0.39, 0.43, 0.43, 0.43, 0.45, 0.46]. The historical stock value data of MIRM for the past 34 days is: [25.79, 26.22, 25.47, 24.55, 24.76, 24.21, 24.44, 24.03, 25.35, 25.79, 26.3, 24.96, 25.07, 25.55, 26.2, 27.0, 26.68, 25.92, 33.0, 29.25, 31.14, 32.05, 34.85, 33.14, 32.86, 33.11, 34.19, 34.16, 33.68, 33.88, 34.43, 35.91, 36.6, 35.92]. ",external_data_mc/answer_info/answer_info_96.pkl,external_data_mc/executor_variables/executor_variables_96.pkl
97,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 7 stocks' price data for 15 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: GWAV, CYTO, MVIS, SPLV, LRHC, GDEN, BNH weighted by : [0.184, 0.202, 0.134, 0.163, 0.106, 0.183, 0.028].     Option B: The portfolio contains the following stocks: MCR, RTO, SRE, SABR, BTO, AVLV, GNRC weighted by : [0.001, 0.213, 0.17, 0.134, 0.203, 0.189, 0.089].     Option C: The portfolio contains the following stocks: IWP, QD, BGT, PSO, VC, SHO, BTBT weighted by : [0.2, 0.049, 0.043, 0.083, 0.225, 0.218, 0.184]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: GWAV, CYTO, MVIS, SPLV, LRHC, GDEN, BNH weighted by : [0.184, 0.202, 0.134, 0.163, 0.106, 0.183, 0.028]. ', 'Option B: The portfolio contains the following stocks: MCR, RTO, SRE, SABR, BTO, AVLV, GNRC weighted by : [0.001, 0.213, 0.17, 0.134, 0.203, 0.189, 0.089]. ', 'Option C: The portfolio contains the following stocks: IWP, QD, BGT, PSO, VC, SHO, BTBT weighted by : [0.2, 0.049, 0.043, 0.083, 0.225, 0.218, 0.184]. ']",B,"Option A: The historical stock value data of GWAV for the past 17 hours is: [0.42, 0.41, 0.41, 0.42, 0.4, 0.4, 0.4, 0.41, 0.4, 0.41, 0.41, 0.41, 0.39, 0.38, 0.39, 0.4, 0.4]. The historical stock value data of CYTO for the past 17 hours is: [0.89, 0.89, 0.89, 0.92, 0.89, 0.92, 0.87, 0.9, 0.9, 0.91, 0.91, 0.91, 0.91, 0.88, 0.9, 0.9, 0.91]. The historical stock value data of MVIS for the past 17 hours is: [0.92, 0.93, 0.92, 0.94, 0.95, 0.96, 0.96, 0.99, 0.97, 0.95, 0.94, 0.96, 0.97, 0.98, 0.98, 0.99, 0.97]. The historical stock value data of SPLV for the past 17 hours is: [70.56, 70.54, 70.62, 70.79, 70.71, 70.77, 70.6, 70.41, 70.28, 70.31, 70.28, 70.29, 70.18, 70.63, 70.78, 70.99, 71.03]. The historical stock value data of LRHC for the past 17 hours is: [0.99, 0.98, 0.97, 0.95, 0.99, 0.95, 0.93, 0.91, 0.9, 0.92, 0.92, 0.91, 0.91, 0.9, 0.9, 0.9, 0.9]. The historical stock value data of GDEN for the past 17 hours is: [32.24, 32.18, 32.03, 32.15, 32.14, 32.4, 32.2, 32.0, 31.78, 32.07, 32.04, 32.15, 32.04, 32.01, 31.65, 31.75, 31.72]. The historical stock value data of BNH for the past 17 hours is: [18.94, 19.17, 19.17, 19.2, 19.22, 19.23, 19.23, 19.25, 19.16, 19.18, 19.08, 19.19, 19.25, 19.27, 19.36, 19.4, 19.39]. 
Option B: The historical stock value data of MCR for the past 17 hours is: [6.41, 6.41, 6.41, 6.43, 6.41, 6.41, 6.42, 6.41, 6.41, 6.41, 6.41, 6.4, 6.41, 6.41, 6.42, 6.42, 6.42]. The historical stock value data of RTO for the past 17 hours is: [31.41, 31.43, 31.42, 31.5, 31.45, 31.43, 31.33, 31.16, 31.03, 31.08, 31.0, 30.97, 30.92, 31.22, 31.19, 31.4, 31.43]. The historical stock value data of SRE for the past 17 hours is: [83.0, 82.92, 82.9, 83.05, 82.91, 83.09, 82.82, 82.72, 82.62, 82.4, 82.29, 82.34, 82.13, 82.35, 82.49, 82.71, 82.73]. The historical stock value data of SABR for the past 17 hours is: [2.88, 2.92, 2.89, 2.91, 2.92, 2.89, 2.85, 2.86, 2.82, 2.82, 2.88, 2.88, 2.84, 2.87, 2.83, 2.86, 2.83]. The historical stock value data of BTO for the past 17 hours is: [32.72, 32.69, 32.68, 32.82, 32.6, 32.6, 32.84, 32.63, 32.34, 32.35, 32.2, 32.26, 32.47, 32.76, 32.56, 32.72, 32.75]. The historical stock value data of AVLV for the past 17 hours is: [63.01, 63.03, 63.0, 63.19, 63.11, 63.15, 62.83, 62.42, 62.21, 62.35, 62.24, 62.37, 62.25, 62.85, 62.7, 63.02, 63.07]. The historical stock value data of GNRC for the past 17 hours is: [143.75, 144.14, 143.6, 143.87, 144.99, 145.26, 143.06, 141.4, 139.77, 140.42, 139.22, 140.05, 139.72, 144.33, 142.63, 143.41, 143.98]. 
Option C: The historical stock value data of IWP for the past 17 hours is: [109.34, 109.65, 109.62, 110.05, 109.99, 110.02, 109.01, 108.21, 107.99, 108.44, 108.16, 108.61, 108.33, 109.92, 109.63, 110.28, 110.37]. The historical stock value data of QD for the past 17 hours is: [1.81, 1.83, 1.83, 1.85, 1.84, 1.83, 1.88, 1.88, 1.86, 1.87, 1.86, 1.86, 1.81, 1.79, 1.79, 1.8, 1.8]. The historical stock value data of BGT for the past 17 hours is: [12.75, 12.75, 12.77, 12.78, 12.76, 12.78, 12.81, 12.81, 12.81, 12.79, 12.78, 12.76, 12.76, 12.79, 12.81, 12.81, 12.81]. The historical stock value data of PSO for the past 17 hours is: [14.06, 14.04, 14.06, 14.1, 14.08, 14.05, 14.1, 14.04, 14.01, 14.03, 14.01, 14.02, 14.02, 13.86, 13.8, 13.82, 13.84]. The historical stock value data of VC for the past 17 hours is: [98.0, 98.5, 98.54, 99.0, 99.46, 99.78, 98.85, 97.42, 97.05, 97.74, 97.36, 97.79, 96.89, 97.6, 97.13, 97.41, 97.35]. The historical stock value data of SHO for the past 17 hours is: [9.88, 9.85, 9.89, 9.93, 9.94, 9.92, 9.92, 9.93, 9.94, 9.98, 9.94, 9.95, 9.9, 9.88, 9.89, 9.94, 9.93]. The historical stock value data of BTBT for the past 17 hours is: [2.68, 2.69, 2.68, 2.71, 2.68, 2.67, 2.57, 2.55, 2.54, 2.52, 2.48, 2.48, 2.47, 2.56, 2.56, 2.69, 2.72]. ",external_data_mc/answer_info/answer_info_97.pkl,external_data_mc/executor_variables/executor_variables_97.pkl
98,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 2 stocks' price data for 26 trading days and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: ATXG, ELDN weighted by : [0.341, 0.659].     Option B: The portfolio contains the following stocks: BSRR, MCH weighted by : [0.07, 0.93].     Option C: The portfolio contains the following stocks: GLMD, RILYL weighted by : [0.912, 0.088]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: ATXG, ELDN weighted by : [0.341, 0.659]. ', 'Option B: The portfolio contains the following stocks: BSRR, MCH weighted by : [0.07, 0.93]. ', 'Option C: The portfolio contains the following stocks: GLMD, RILYL weighted by : [0.912, 0.088]. ']",C,"Option A: The historical stock value data of ATXG for the past 42 days is: [0.88, 0.88, 0.88, 0.9, 0.92, 0.9, 0.9, 0.89, 0.91, 0.93, 0.94, 1.03, 1.01, 0.99, 0.98, 0.96, 0.98, 0.96, 1.01, 1.05, 1.01, 0.97, 0.95, 1.01, 0.99, 1.03, 1.03, 1.02, 1.0, 1.03, 1.01, 1.04, 1.05, 1.02, 1.01, 0.97, 1.04, 1.01, 1.0, 0.98, 0.98, 1.01]. The historical stock value data of ELDN for the past 42 days is: [1.69, 1.64, 1.6, 1.57, 1.99, 1.86, 2.02, 2.16, 1.97, 2.02, 2.06, 2.37, 2.39, 2.29, 2.3, 2.41, 2.44, 2.26, 2.44, 2.4, 2.31, 2.19, 2.34, 2.51, 2.8, 3.02, 3.12, 3.09, 2.99, 2.89, 2.82, 2.58, 2.4, 2.58, 2.75, 2.8, 2.87, 2.84, 2.72, 2.78, 2.87, 2.9]. 
Option B: The historical stock value data of BSRR for the past 42 days is: [17.64, 17.74, 17.43, 17.36, 17.55, 18.39, 18.57, 19.58, 20.5, 20.03, 20.11, 20.36, 19.66, 20.44, 20.75, 20.68, 21.15, 21.15, 21.58, 22.42, 21.88, 21.64, 22.48, 22.12, 21.79, 21.76, 21.71, 21.53, 21.5, 20.87, 21.34, 20.9, 20.26, 20.69, 20.85, 20.3, 20.3, 20.54, 20.28, 20.09, 19.95, 20.28]. The historical stock value data of MCH for the past 42 days is: [18.36, 18.48, 18.29, 18.33, 18.48, 18.37, 18.81, 19.09, 19.35, 19.44, 19.95, 20.2, 19.78, 19.86, 20.96, 21.08, 21.02, 20.83, 20.52, 20.93, 21.1, 21.46, 21.31, 21.48, 22.03, 22.37, 22.04, 21.73, 21.53, 21.09, 20.97, 20.95, 20.69, 20.67, 20.34, 20.39, 20.62, 20.61, 20.58, 20.12, 20.25, 20.07]. 
Option C: The historical stock value data of GLMD for the past 42 days is: [5.03, 4.51, 4.25, 4.42, 4.55, 4.48, 4.37, 4.33, 4.8, 4.72, 4.7, 4.55, 4.22, 4.64, 4.62, 4.64, 5.03, 4.88, 4.67, 4.98, 4.78, 4.66, 4.85, 4.61, 4.79, 4.86, 4.78, 4.68, 4.78, 4.68, 4.64, 4.45, 4.32, 4.37, 4.44, 4.3, 4.44, 4.09, 4.21, 4.08, 4.28, 4.25]. The historical stock value data of RILYL for the past 42 days is: [18.22, 18.36, 18.47, 18.44, 18.65, 18.61, 18.2, 18.49, 20.57, 19.61, 21.14, 20.67, 21.22, 21.17, 20.67, 21.25, 22.0, 21.03, 21.01, 21.08, 21.21, 20.94, 20.77, 19.82, 20.32, 20.57, 20.86, 21.5, 21.39, 21.5, 21.55, 20.62, 20.57, 20.72, 20.57, 20.57, 20.57, 21.33, 21.45, 21.89, 22.23, 21.98]. ",external_data_mc/answer_info/answer_info_98.pkl,external_data_mc/executor_variables/executor_variables_98.pkl
99,SharpeRatio,"I have 3 portfolios to choose from for investment. Each portfolio contains 4 stocks' price data for 5 trading hours and the corresponding risk-free rate from the same period. I want to know which investment portfolio has the best sharpe ratio.The options are: [Option A: The portfolio contains the following stocks: AMWD, KNW, UVV, UAA weighted by : [0.235, 0.126, 0.343, 0.297].     Option B: The portfolio contains the following stocks: YSG, BCSF, THS, HDB weighted by : [0.321, 0.294, 0.222, 0.164].     Option C: The portfolio contains the following stocks: PPG, LFCR, EHC, IJR weighted by : [0.251, 0.225, 0.251, 0.273]. ]. Please choose the option that you think has the best sharpe ratio. Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: The portfolio contains the following stocks: AMWD, KNW, UVV, UAA weighted by : [0.235, 0.126, 0.343, 0.297]. ', 'Option B: The portfolio contains the following stocks: YSG, BCSF, THS, HDB weighted by : [0.321, 0.294, 0.222, 0.164]. ', 'Option C: The portfolio contains the following stocks: PPG, LFCR, EHC, IJR weighted by : [0.251, 0.225, 0.251, 0.273]. ']",A,"Option A: The historical stock value data of AMWD for the past 19 hours is: [85.97, 85.9, 85.69, 84.4, 83.64, 84.29, 84.46, 83.66, 83.56, 83.32, 83.51, 84.04, 84.51, 84.43, 83.63, 83.86, 83.58, 83.39, 83.19]. The historical stock value data of KNW for the past 19 hours is: [0.28, 0.28, 0.28, 0.26, 0.27, 0.26, 0.26, 0.27, 0.27, 0.27, 0.27, 0.27, 0.28, 0.28, 0.28, 0.28, 0.27, 0.29, 0.28]. The historical stock value data of UVV for the past 19 hours is: [53.69, 53.62, 53.58, 53.32, 53.34, 52.92, 53.0, 52.85, 52.62, 52.24, 52.12, 52.33, 52.27, 52.1, 51.97, 51.84, 51.61, 51.06, 50.94]. The historical stock value data of UAA for the past 19 hours is: [7.93, 7.86, 7.86, 7.81, 7.78, 7.74, 7.78, 7.82, 7.88, 7.78, 7.71, 7.7, 7.78, 7.67, 7.57, 7.51, 7.47, 6.9, 6.82]. 
Option B: The historical stock value data of YSG for the past 19 hours is: [3.25, 3.26, 3.26, 3.28, 3.26, 3.18, 3.24, 3.23, 3.21, 3.2, 3.31, 3.31, 3.31, 3.33, 3.32, 3.34, 3.32, 3.58, 3.58]. The historical stock value data of BCSF for the past 19 hours is: [17.08, 17.15, 17.22, 17.08, 16.94, 16.9, 16.75, 16.82, 16.81, 16.81, 17.03, 16.94, 16.97, 16.94, 16.91, 16.85, 16.79, 16.72, 16.75]. The historical stock value data of THS for the past 19 hours is: [42.7, 42.58, 42.13, 41.75, 41.7, 41.47, 41.97, 41.92, 41.86, 41.91, 41.51, 41.5, 42.12, 41.76, 41.75, 42.0, 41.78, 41.76, 41.94]. The historical stock value data of HDB for the past 19 hours is: [61.03, 60.88, 60.98, 60.83, 60.46, 60.48, 60.61, 60.59, 60.73, 60.52, 61.53, 61.38, 61.5, 61.67, 61.54, 61.53, 61.5, 60.83, 60.71]. 
Option C: The historical stock value data of PPG for the past 19 hours is: [125.58, 125.24, 125.28, 125.15, 124.71, 124.74, 125.29, 124.89, 124.95, 124.83, 126.39, 126.39, 126.89, 126.68, 126.56, 126.31, 126.15, 124.91, 125.76]. The historical stock value data of LFCR for the past 19 hours is: [4.59, 4.68, 4.59, 4.51, 4.56, 4.57, 4.64, 4.65, 4.78, 4.78, 5.13, 4.94, 5.02, 4.8, 4.73, 4.75, 4.76, 4.8, 4.81]. The historical stock value data of EHC for the past 19 hours is: [93.43, 93.24, 93.41, 92.2, 91.69, 91.6, 91.93, 92.32, 92.13, 91.66, 91.0, 91.89, 92.12, 91.68, 91.39, 91.53, 91.33, 91.96, 92.86]. The historical stock value data of IJR for the past 19 hours is: [112.7, 112.48, 112.42, 111.18, 110.53, 110.4, 110.95, 110.5, 110.76, 110.5, 110.38, 110.38, 110.82, 110.85, 110.46, 110.5, 110.19, 109.58, 109.79]. ",external_data_mc/answer_info/answer_info_99.pkl,external_data_mc/executor_variables/executor_variables_99.pkl
100,MarketAB-alpha,"I'm looking at the CHW stock and the market W5000 index. I want to know how the CHW stock performs with respect to the market W5000 index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of CHW for the past 251 days is: [5.25, 5.27, 5.23, 5.18, 5.19, 5.16, 5.09, 5.04, 5.06, 5.03, 5.01, 4.9, 4.91, 4.9, 4.97, 4.98, 5.03, 5.06, 5.04, 5.01, 4.99, 4.99, 4.93, 4.91, 4.85, 4.78, 4.83, 4.73, 4.68, 4.67, 4.77, 4.79, 4.81, 4.96, 5.04, 5.04, 5.04, 5.0, 4.95, 5.01, 5.06, 5.15, 5.2, 5.16, 5.17, 5.24, 5.26, 5.2, 5.23, 5.21, 5.23, 5.21, 5.22, 5.25, 5.21, 5.21, 5.2, 5.21, 5.2, 5.22, 5.19, 5.3, 5.35, 5.38, 5.37, 5.39, 5.37, 5.43, 5.43, 5.47, 5.51, 5.51, 5.43, 5.38, 5.36, 5.38, 5.39, 5.43, 5.42, 5.46, 5.45, 5.49, 5.42, 5.41, 5.4, 5.45, 5.5, 5.5, 5.52, 5.52, 5.55, 5.61, 5.62, 5.63, 5.65, 5.64, 5.66, 5.72, 5.77, 5.78, 5.81, 5.83, 5.72, 5.77, 5.79, 5.81, 5.8, 5.78, 5.84, 5.89, 5.89, 5.89, 5.8, 5.85, 5.92, 5.97, 5.9, 5.96, 6.03, 6.04, 6.02, 6.09, 6.16, 6.06, 6.07, 6.07, 6.11, 6.19, 6.23, 6.23, 6.19, 6.23, 6.25, 6.23, 6.25, 6.24, 6.24, 6.25, 6.25, 6.31, 6.27, 6.25, 6.28, 6.3, 6.23, 6.15, 6.09, 6.05, 5.92, 6.03, 6.11, 6.12, 6.06, 6.11, 6.18, 6.14, 6.18, 6.22, 6.45, 6.37, 6.4, 6.37, 6.38, 6.4, 6.37, 6.41, 6.47, 6.44, 6.46, 6.5, 6.52, 6.51, 6.46, 6.48, 6.52, 6.47, 6.47, 6.47, 6.5, 6.58, 6.61, 6.6, 6.61, 6.62, 6.64, 6.7, 6.74, 6.73, 6.79, 6.83, 6.69, 6.78, 6.68, 6.71, 6.72, 6.71, 6.71, 6.72, 6.77, 6.88, 6.88, 6.89, 6.9, 6.96, 6.98, 7.0, 6.97, 6.98, 6.94, 6.79, 6.83, 6.87, 6.85, 6.7, 6.68, 6.63, 6.69, 6.66, 6.77, 6.71, 6.61, 6.32, 6.46, 6.47, 6.55, 6.65, 6.63, 6.78, 6.76, 6.87, 6.91, 6.95, 6.98, 7.0, 6.93, 7.01, 6.99, 6.97, 6.95, 6.94, 7.0, 6.83, 6.9, 6.81, 6.69, 6.83, 6.82, 6.84, 6.86, 6.9, 6.9]. ",external_data_mc/answer_info/answer_info_100.pkl,external_data_mc/executor_variables/executor_variables_100.pkl
101,MarketAB-alpha,"I'm looking at the RMAX stock and the market W5000 index. I want to know how the RMAX stock performs with respect to the market W5000 index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",A,"The historical stock value data of RMAX for the past 91 days is: [9.05, 8.94, 8.73, 8.24, 8.6, 8.16, 8.53, 8.66, 8.26, 7.96, 8.1, 8.08, 8.36, 8.47, 8.25, 8.48, 8.11, 7.86, 7.39, 7.38, 7.78, 8.71, 8.01, 7.79, 7.55, 7.99, 8.77, 8.18, 7.84, 8.23, 8.17, 8.04, 8.05, 8.26, 7.7, 7.91, 7.53, 7.33, 7.09, 7.05, 7.14, 7.25, 7.12, 7.1, 7.41, 7.21, 7.06, 7.19, 7.02, 7.2, 7.16, 7.71, 7.66, 8.07, 8.0, 8.73, 9.57, 9.73, 9.52, 9.63, 9.9, 9.7, 9.6, 9.32, 8.8, 8.2, 8.22, 8.51, 7.96, 7.99, 8.09, 8.09, 8.08, 7.91, 7.85, 8.56, 8.2, 8.16, 8.46, 8.62, 8.23, 8.13, 8.34, 8.42, 8.22, 8.16, 8.02, 8.2, 8.19, 8.1, 8.12]. ",external_data_mc/answer_info/answer_info_101.pkl,external_data_mc/executor_variables/executor_variables_101.pkl
102,MarketAB-alpha,"I'm looking at the PLBY stock and the market W5000 index. I want to know how the PLBY stock performs with respect to the market W5000 index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of PLBY for the past 178 days is: [0.45, 0.47, 0.46, 0.47, 0.48, 0.47, 0.46, 0.54, 0.53, 0.52, 0.61, 0.69, 0.64, 0.62, 0.64, 0.67, 0.65, 0.75, 0.74, 0.82, 0.88, 0.71, 0.75, 0.82, 0.8, 0.87, 1.0, 1.07, 1.06, 1.0, 1.19, 1.14, 1.12, 1.14, 1.26, 1.38, 1.33, 1.32, 1.24, 1.18, 1.1, 0.97, 1.08, 1.19, 1.22, 1.18, 1.1, 1.13, 1.19, 1.22, 1.14, 1.16, 1.16, 1.17, 1.2, 1.24, 1.21, 1.21, 1.31, 1.13, 1.16, 1.14, 1.14, 1.07, 1.02, 1.01, 1.02, 0.99, 1.02, 0.96, 0.99, 0.98, 0.94, 0.9, 0.9, 0.83, 0.83, 0.82, 0.8, 0.81, 0.78, 0.81, 0.88, 0.92, 1.0, 1.0, 0.93, 0.95, 0.92, 0.97, 1.05, 0.96, 0.95, 0.98, 1.05, 1.1, 1.15, 1.07, 1.06, 0.98, 0.9, 0.9, 0.92, 0.91, 0.93, 0.89, 0.95, 1.0, 1.0, 1.02, 1.02, 1.04, 0.98, 0.93, 1.02, 1.04, 1.04, 1.01, 1.04, 1.03, 0.91, 0.94, 0.94, 0.92, 0.92, 0.9, 0.93, 0.95, 0.93, 0.91, 0.9, 0.88, 0.89, 0.9, 0.92, 0.94, 0.93, 0.92, 0.91, 0.9, 0.88, 0.9, 0.84, 0.82, 0.81, 0.79, 0.75, 0.81, 0.78, 0.8, 0.8, 0.81, 0.8, 0.78, 0.8, 0.78, 0.75, 0.8, 0.79, 0.75, 0.75, 0.76, 0.78, 0.9, 0.91, 0.94, 0.87, 0.9, 0.9, 0.86, 0.83, 0.82, 0.86, 0.85, 0.83, 0.81, 0.82, 0.79]. ",external_data_mc/answer_info/answer_info_102.pkl,external_data_mc/executor_variables/executor_variables_102.pkl
103,MarketAB-alpha,"I'm looking at the KWEB stock and the market DJIA index. I want to know how the KWEB stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",A,"The historical stock value data of KWEB for the past 129 days is: [26.08, 27.04, 26.85, 26.48, 26.61, 26.55, 26.91, 26.89, 26.33, 26.08, 26.2, 27.14, 27.08, 28.03, 28.18, 27.12, 26.82, 27.01, 26.64, 26.1, 25.67, 25.21, 25.45, 26.51, 25.82, 25.86, 26.04, 26.18, 25.61, 25.53, 25.84, 26.88, 26.98, 26.94, 26.93, 26.37, 26.42, 26.74, 27.3, 28.23, 27.08, 27.19, 28.2, 27.5, 27.64, 28.08, 27.55, 27.8, 27.33, 27.59, 27.2, 26.47, 26.32, 26.32, 26.51, 26.24, 26.39, 26.7, 26.55, 26.88, 26.88, 26.45, 26.77, 26.02, 26.92, 25.77, 26.0, 25.93, 26.64, 27.0, 26.07, 26.51, 26.2, 25.88, 25.58, 25.21, 25.1, 25.63, 25.43, 24.45, 23.81, 23.71, 23.77, 23.11, 24.24, 24.94, 24.72, 24.48, 23.85, 23.36, 23.34, 23.66, 23.13, 23.38, 24.95, 24.42, 23.96, 24.32, 24.98, 24.28, 25.15, 25.19, 25.41, 24.97, 25.39, 25.75, 25.94, 25.79, 26.15, 25.35, 25.36, 25.99, 25.16, 24.62, 25.04, 24.91, 24.97, 25.7, 26.8, 27.11, 26.44, 26.31, 26.53, 26.44, 27.04, 26.59, 26.22, 26.09, 26.05]. ",external_data_mc/answer_info/answer_info_103.pkl,external_data_mc/executor_variables/executor_variables_103.pkl
104,MarketAB-alpha,"I'm looking at the RSPU stock and the market DJIA index. I want to know how the RSPU stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of RSPU for the past 224 days is: [48.55, 49.68, 49.77, 50.14, 49.22, 49.55, 49.94, 50.6, 51.55, 51.91, 51.69, 51.37, 51.05, 50.58, 50.78, 50.19, 52.15, 52.14, 52.42, 52.52, 52.37, 52.32, 52.66, 52.78, 52.86, 53.04, 52.56, 52.83, 53.6, 53.43, 53.02, 53.55, 53.46, 53.35, 53.66, 53.5, 55.42, 54.61, 53.74, 53.56, 53.9, 52.84, 53.01, 53.2, 53.58, 53.5, 53.91, 53.9, 54.68, 54.77, 54.61, 54.78, 55.15, 54.72, 54.66, 53.41, 53.61, 53.07, 52.33, 51.82, 51.76, 51.52, 51.59, 50.77, 51.78, 51.94, 52.26, 52.24, 52.13, 53.08, 52.22, 51.24, 51.41, 51.36, 51.03, 51.35, 51.89, 51.05, 51.33, 52.26, 52.21, 52.13, 52.84, 52.45, 52.78, 51.75, 52.73, 52.8, 52.92, 52.66, 53.59, 53.53, 54.09, 54.42, 54.48, 54.72, 54.22, 54.34, 53.76, 53.88, 54.14, 54.62, 54.61, 54.64, 54.66, 54.76, 54.23, 55.71, 56.24, 55.94, 55.99, 55.78, 55.67, 55.7, 56.12, 56.4, 55.36, 55.23, 54.82, 54.38, 53.71, 54.66, 54.94, 55.75, 56.23, 56.46, 56.81, 56.88, 56.31, 57.05, 56.86, 57.44, 57.83, 58.11, 58.36, 58.85, 59.4, 60.35, 60.32, 60.18, 60.32, 61.12, 61.06, 61.1, 60.91, 61.43, 60.64, 59.53, 59.99, 59.86, 59.12, 60.0, 61.01, 60.31, 60.37, 60.06, 59.3, 58.72, 59.25, 59.29, 58.93, 58.91, 58.72, 58.15, 58.32, 58.69, 58.37, 59.15, 58.49, 58.37, 58.49, 58.03, 57.65, 57.84, 58.05, 58.12, 58.14, 58.35, 58.85, 59.96, 60.37, 59.06, 59.65, 59.98, 59.89, 59.81, 60.37, 59.99, 60.56, 60.39, 60.95, 61.25, 61.67, 62.11, 63.21, 63.26, 61.46, 62.0, 62.25, 62.46, 62.66, 62.69, 63.14, 63.19, 63.19, 63.43, 63.74, 63.7, 64.11, 64.18, 64.32, 64.7, 64.24, 64.27, 64.56, 65.0, 65.01, 65.41, 65.29, 64.63, 65.29, 65.52, 65.76, 65.8]. ",external_data_mc/answer_info/answer_info_104.pkl,external_data_mc/executor_variables/executor_variables_104.pkl
105,MarketAB-alpha,"I'm looking at the NWG stock and the market SPX index. I want to know how the NWG stock performs with respect to the market SPX index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of NWG for the past 172 days is: [5.29, 5.29, 5.29, 5.3, 5.37, 5.44, 5.33, 5.2, 5.16, 5.13, 4.98, 4.94, 5.02, 5.06, 5.18, 5.18, 5.25, 5.3, 5.42, 5.41, 5.47, 5.37, 5.41, 5.31, 5.22, 5.28, 5.24, 5.18, 5.09, 5.02, 4.88, 5.02, 5.17, 5.57, 5.53, 5.55, 5.56, 5.67, 5.6, 5.67, 5.71, 5.82, 5.98, 6.03, 6.07, 6.17, 6.17, 6.18, 6.15, 6.23, 6.23, 6.12, 6.14, 6.13, 6.08, 6.35, 6.42, 6.54, 6.52, 6.57, 6.66, 6.68, 6.6, 6.7, 6.85, 7.0, 7.02, 7.0, 7.02, 6.96, 6.86, 6.78, 6.78, 6.67, 6.77, 6.81, 6.87, 6.96, 7.13, 7.12, 7.25, 7.7, 7.56, 7.56, 7.62, 7.6, 7.64, 7.73, 7.79, 7.95, 7.97, 7.98, 8.03, 8.16, 8.32, 8.23, 8.16, 8.01, 8.06, 8.03, 7.75, 7.87, 8.0, 7.89, 8.05, 8.11, 8.2, 8.03, 8.03, 8.16, 8.02, 7.94, 7.72, 7.9, 7.86, 7.8, 7.89, 7.9, 8.15, 8.13, 8.03, 7.92, 7.94, 7.97, 7.89, 7.99, 8.13, 8.24, 8.37, 8.46, 8.22, 8.3, 8.36, 8.37, 8.31, 8.5, 8.46, 8.53, 8.6, 8.71, 8.68, 8.56, 8.66, 9.36, 9.47, 9.32, 9.37, 8.7, 8.27, 8.2, 8.23, 8.34, 8.53, 8.65, 8.67, 8.88, 8.87, 9.04, 9.16, 9.29, 9.15, 9.24, 9.11, 9.27, 9.27, 9.41, 9.02, 9.16, 9.22, 8.79, 8.89, 9.04]. ",external_data_mc/answer_info/answer_info_105.pkl,external_data_mc/executor_variables/executor_variables_105.pkl
106,MarketAB-alpha,"I'm looking at the TSM stock and the market SPX index. I want to know how the TSM stock performs with respect to the market SPX index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of TSM for the past 230 days is: [89.21, 90.58, 90.99, 89.06, 89.81, 89.59, 88.21, 91.47, 89.9, 89.7, 90.22, 86.28, 86.1, 84.66, 84.73, 84.98, 86.44, 89.08, 90.37, 91.17, 90.98, 90.58, 90.2, 95.93, 94.93, 97.38, 97.27, 97.02, 98.04, 98.41, 96.89, 97.12, 96.32, 95.71, 96.46, 97.35, 95.8, 97.03, 95.51, 95.19, 96.34, 97.75, 98.8, 99.39, 100.03, 100.54, 102.33, 101.43, 101.82, 102.75, 98.96, 101.44, 102.03, 103.32, 103.52, 103.57, 102.87, 100.43, 99.09, 98.06, 98.53, 101.13, 100.79, 99.71, 100.12, 100.14, 100.57, 101.84, 111.81, 112.96, 111.81, 112.89, 115.26, 115.3, 115.99, 115.71, 114.8, 111.74, 112.16, 114.5, 117.5, 118.09, 123.63, 132.28, 131.67, 129.05, 126.17, 127.87, 127.63, 125.32, 123.97, 123.98, 127.67, 128.13, 129.23, 127.2, 126.0, 127.28, 132.45, 136.76, 133.51, 140.04, 147.58, 144.79, 137.51, 142.84, 140.6, 138.11, 135.5, 135.71, 133.95, 135.82, 138.5, 139.58, 139.27, 137.89, 135.76, 135.12, 140.53, 139.26, 141.03, 138.71, 140.4, 141.82, 144.41, 145.22, 146.2, 141.55, 139.19, 138.85, 138.08, 131.37, 126.83, 128.87, 132.52, 132.06, 135.65, 137.36, 137.56, 136.4, 134.02, 135.3, 140.6, 141.86, 140.15, 142.62, 141.82, 148.24, 145.41, 150.92, 154.52, 151.19, 150.65, 152.5, 152.62, 155.09, 156.02, 158.91, 158.32, 153.29, 151.92, 150.01, 153.89, 151.43, 161.81, 160.97, 163.27, 167.01, 164.58, 171.8, 172.27, 171.88, 176.59, 179.03, 174.74, 173.32, 167.19, 171.97, 171.44, 171.0, 173.17, 171.7, 175.05, 181.82, 183.31, 185.94, 183.84, 190.35, 183.82, 186.66, 184.54, 185.36, 170.57, 171.24, 165.16, 168.73, 169.2, 159.21, 159.69, 161.34, 159.42, 153.97, 165.19, 157.6, 149.31, 147.41, 154.82, 154.47, 163.94, 166.51, 167.01, 171.71, 169.34, 173.32, 173.9, 174.8, 171.41, 170.81, 165.83, 170.65, 168.45, 169.92, 168.58, 168.53, 171.07, 159.9, 160.28, 163.1, 156.24, 162.18]. ",external_data_mc/answer_info/answer_info_106.pkl,external_data_mc/executor_variables/executor_variables_106.pkl
107,MarketAB-alpha,"I'm looking at the RILYN stock and the market DJIA index. I want to know how the RILYN stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of RILYN for the past 117 days is: [16.69, 16.95, 16.99, 16.87, 16.51, 17.45, 17.91, 17.96, 18.21, 18.41, 18.86, 19.04, 19.07, 18.48, 18.64, 18.44, 17.92, 18.12, 18.22, 17.87, 17.51, 17.86, 18.1, 20.42, 20.32, 20.46, 20.65, 20.44, 20.6, 20.68, 20.19, 19.97, 20.07, 20.05, 20.17, 20.47, 20.95, 20.54, 19.87, 19.78, 19.77, 20.07, 20.33, 20.42, 20.13, 20.23, 20.43, 19.83, 19.43, 19.98, 19.99, 19.78, 20.34, 20.13, 20.29, 19.96, 19.97, 20.0, 20.14, 20.03, 18.89, 18.9, 19.22, 19.35, 19.41, 19.31, 19.03, 18.7, 18.73, 18.7, 18.55, 18.8, 18.44, 18.32, 18.45, 18.47, 18.55, 18.82, 18.87, 18.92, 19.43, 19.15, 18.91, 18.8, 18.83, 18.25, 18.56, 18.67, 18.82, 18.72, 19.1, 19.15, 18.72, 18.59, 18.57, 18.36, 18.49, 18.53, 11.14, 10.79, 9.87, 7.2, 9.61, 9.37, 9.37, 11.5, 15.95, 14.81, 14.36, 13.83, 13.56, 12.94, 11.57, 12.66, 12.23, 12.23, 12.09]. ",external_data_mc/answer_info/answer_info_107.pkl,external_data_mc/executor_variables/executor_variables_107.pkl
108,MarketAB-alpha,"I'm looking at the GDXJ stock and the market SPX index. I want to know how the GDXJ stock performs with respect to the market SPX index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of GDXJ for the past 235 days is: [34.79, 34.96, 33.98, 33.9, 33.47, 32.38, 31.83, 32.13, 31.99, 30.81, 30.93, 30.61, 30.94, 31.6, 32.39, 32.63, 33.13, 32.0, 33.64, 33.75, 34.37, 34.33, 34.55, 34.46, 34.11, 34.35, 33.55, 33.24, 34.18, 33.92, 33.1, 33.24, 33.43, 35.22, 34.79, 34.2, 33.2, 33.2, 32.62, 32.32, 34.16, 33.9, 34.46, 34.35, 34.4, 35.25, 35.12, 35.6, 36.36, 37.93, 37.97, 38.25, 39.15, 37.95, 37.14, 37.08, 36.88, 36.17, 35.79, 34.84, 37.36, 37.75, 37.28, 37.4, 38.77, 37.6, 38.6, 38.83, 38.97, 39.35, 38.2, 37.91, 37.22, 35.99, 36.07, 35.98, 35.89, 35.36, 35.48, 35.14, 36.36, 34.66, 33.66, 33.76, 33.89, 33.61, 34.39, 33.63, 34.39, 34.13, 34.59, 34.27, 33.8, 35.21, 34.0, 33.14, 33.76, 33.3, 33.13, 32.8, 33.25, 31.12, 31.52, 32.41, 32.43, 32.42, 32.25, 31.75, 32.32, 31.93, 31.66, 31.2, 31.88, 33.24, 34.75, 34.78, 35.51, 36.08, 35.93, 36.6, 36.12, 36.87, 36.49, 36.74, 36.35, 35.53, 37.25, 36.68, 36.15, 36.55, 36.52, 37.89, 38.74, 39.2, 39.84, 41.1, 40.5, 41.89, 41.91, 42.66, 41.88, 42.92, 41.99, 41.56, 40.83, 41.46, 41.66, 42.19, 40.2, 41.17, 41.0, 41.99, 42.39, 42.67, 40.46, 40.77, 40.91, 40.73, 41.89, 41.94, 41.89, 43.67, 43.44, 42.9, 43.7, 44.4, 44.28, 46.35, 46.94, 46.84, 44.78, 43.9, 44.6, 45.93, 44.83, 45.35, 45.13, 45.06, 43.28, 44.1, 45.37, 41.96, 42.55, 42.18, 42.4, 41.39, 41.85, 41.49, 42.2, 43.33, 42.42, 42.53, 41.86, 41.76, 42.4, 42.12, 41.98, 42.09, 43.95, 45.09, 45.01, 44.98, 46.24, 47.77, 47.59, 47.33, 49.09, 47.56, 46.63, 45.9, 46.02, 45.91, 45.27, 43.9, 44.43, 44.55, 44.82, 46.17, 44.91, 43.7, 42.07, 42.43, 41.22, 42.22, 42.59, 44.15, 44.94, 44.71, 45.11, 46.53, 47.57, 47.76, 48.33, 46.81, 47.73]. ",external_data_mc/answer_info/answer_info_108.pkl,external_data_mc/executor_variables/executor_variables_108.pkl
109,MarketAB-alpha,"I'm looking at the DECZ stock and the market COMP index. I want to know how the DECZ stock performs with respect to the market COMP index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of DECZ for the past 64 days is: [29.72, 29.79, 29.83, 29.75, 29.64, 29.88, 29.85, 29.59, 29.43, 29.18, 29.13, 29.28, 29.0, 28.83, 28.71, 28.91, 29.03, 29.2, 29.55, 29.78, 29.8, 29.91, 29.92, 29.68, 30.05, 30.03, 30.51, 30.57, 30.55, 30.6, 30.81, 30.73, 30.83, 30.84, 30.81, 30.83, 30.8, 30.88, 30.98, 30.83, 30.84, 30.75, 30.93, 31.02, 31.12, 31.21, 31.51, 31.58, 31.6, 31.7, 31.82, 31.55, 31.75, 31.8, 31.91, 31.91, 31.97, 31.91, 31.73, 31.59, 31.47, 31.52, 31.85, 31.82]. ",external_data_mc/answer_info/answer_info_109.pkl,external_data_mc/executor_variables/executor_variables_109.pkl
110,MarketAB-alpha,"I'm looking at the CMBT stock and the market W5000 index. I want to know how the CMBT stock performs with respect to the market W5000 index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of CMBT for the past 203 days is: [12.2, 12.51, 12.56, 12.66, 12.63, 12.61, 12.6, 12.61, 12.67, 12.58, 12.59, 12.59, 12.62, 12.64, 12.63, 12.64, 12.62, 12.61, 12.7, 12.79, 12.83, 12.7, 12.71, 12.71, 12.73, 12.74, 12.72, 12.75, 12.73, 12.74, 12.75, 12.75, 12.77, 12.78, 12.85, 12.83, 12.83, 12.7, 12.73, 12.73, 12.71, 12.73, 12.7, 12.71, 12.69, 12.69, 12.79, 12.82, 12.82, 12.82, 12.85, 12.89, 12.87, 12.95, 12.95, 12.86, 12.85, 12.87, 12.85, 12.84, 12.87, 12.85, 12.86, 12.87, 12.89, 12.88, 12.86, 12.83, 12.83, 12.87, 12.87, 12.86, 12.86, 12.87, 12.87, 12.89, 12.92, 12.91, 12.92, 12.9, 12.95, 12.95, 12.94, 12.97, 13.01, 12.99, 13.01, 13.02, 13.02, 12.98, 12.98, 12.96, 12.99, 12.98, 12.97, 12.97, 12.97, 12.93, 12.95, 12.94, 12.89, 12.95, 12.96, 13.0, 12.98, 13.01, 13.0, 13.0, 12.97, 13.04, 12.0, 11.31, 11.25, 10.73, 11.71, 11.68, 11.86, 11.99, 12.02, 12.15, 12.14, 12.14, 12.33, 12.25, 12.41, 12.12, 12.14, 11.99, 12.11, 11.89, 11.82, 12.03, 12.06, 11.96, 11.95, 11.9, 12.1, 12.0, 12.0, 12.31, 12.24, 12.19, 12.17, 12.38, 12.42, 12.35, 12.68, 13.59, 14.09, 14.25, 14.36, 14.74, 14.82, 15.15, 15.12, 15.37, 15.4, 15.0, 14.93, 15.1, 14.89, 14.87, 15.26, 15.77, 15.87, 15.39, 15.67, 15.08, 15.14, 15.17, 14.63, 14.81, 14.6, 14.08, 14.57, 14.64, 14.76, 14.88, 15.28, 15.43, 15.46, 15.52, 15.43, 15.62, 15.67, 15.69, 16.27, 15.98, 17.0, 16.47, 16.31, 16.31, 16.1, 16.15, 16.17, 16.23, 16.47, 16.96, 16.74, 16.56, 16.91, 16.85, 17.21]. ",external_data_mc/answer_info/answer_info_110.pkl,external_data_mc/executor_variables/executor_variables_110.pkl
111,MarketAB-alpha,"I'm looking at the CLMT stock and the market DJIA index. I want to know how the CLMT stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",B,"The historical stock value data of CLMT for the past 163 days is: [18.85, 18.98, 19.0, 19.1, 19.0, 18.26, 17.77, 17.94, 18.14, 18.13, 17.9, 17.76, 17.5, 17.09, 16.55, 16.47, 17.07, 16.72, 16.73, 16.27, 15.59, 14.81, 13.82, 13.01, 13.37, 13.03, 12.91, 13.18, 13.92, 13.56, 13.35, 13.0, 14.25, 14.99, 15.23, 14.92, 14.65, 14.39, 14.53, 14.71, 15.38, 17.66, 16.98, 16.4, 17.33, 17.12, 17.2, 17.63, 17.52, 17.19, 16.7, 16.88, 17.28, 17.3, 17.05, 17.2, 17.36, 16.97, 16.37, 16.33, 16.47, 16.43, 17.18, 17.72, 17.82, 17.86, 17.87, 17.55, 17.67, 17.64, 17.42, 17.54, 17.32, 16.95, 17.22, 17.1, 16.72, 16.45, 16.29, 16.0, 16.05, 16.04, 15.87, 15.95, 15.97, 16.0, 15.62, 15.27, 15.38, 15.47, 15.89, 16.23, 16.61, 16.2, 16.29, 17.12, 17.12, 17.26, 17.4, 16.89, 17.15, 17.12, 17.21, 16.6, 16.73, 15.75, 15.38, 15.54, 15.7, 15.52, 15.65, 15.42, 15.26, 15.19, 14.82, 14.8, 14.7, 14.25, 14.25, 13.93, 13.8, 14.41, 14.48, 14.46, 14.22, 13.8, 14.38, 14.86, 14.86, 14.82, 15.23, 15.3, 15.43, 15.53, 15.79, 15.64, 15.43, 15.37, 15.0, 14.98, 15.12, 15.15, 14.98, 15.37, 16.2, 15.58, 15.67, 15.52, 16.02, 15.66, 15.66, 15.93, 16.2, 16.22, 16.31, 16.11, 16.16, 15.97, 15.21, 15.45, 15.37, 15.75, 15.76]. ",external_data_mc/answer_info/answer_info_111.pkl,external_data_mc/executor_variables/executor_variables_111.pkl
112,MarketAB-alpha,"I'm looking at the EQH stock and the market RUT index. I want to know how the EQH stock performs with respect to the market RUT index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of EQH for the past 36 days is: [33.07, 32.68, 32.51, 31.83, 31.97, 32.44, 32.58, 32.02, 32.16, 32.17, 32.05, 31.74, 31.65, 31.85, 32.43, 32.7, 32.41, 32.59, 32.7, 32.53, 32.68, 32.67, 32.08, 31.79, 32.23, 32.05, 32.13, 33.08, 32.99, 33.11, 33.47, 32.51, 33.16, 33.97, 33.58, 33.7]. ",external_data_mc/answer_info/answer_info_112.pkl,external_data_mc/executor_variables/executor_variables_112.pkl
113,MarketAB-alpha,"I'm looking at the STEW stock and the market DJIA index. I want to know how the STEW stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of STEW for the past 82 days is: [14.67, 14.78, 14.69, 14.59, 14.56, 14.43, 14.51, 14.53, 14.51, 14.38, 14.42, 14.2, 14.05, 13.97, 13.95, 13.98, 14.1, 14.28, 14.32, 14.26, 14.13, 14.15, 14.15, 14.12, 14.11, 14.13, 14.21, 14.24, 14.33, 14.4, 14.36, 14.39, 14.35, 14.36, 14.44, 14.47, 14.51, 14.44, 14.47, 14.43, 14.3, 14.35, 14.21, 14.1, 14.11, 14.42, 14.39, 14.33, 14.31, 14.41, 14.48, 14.41, 14.35, 14.39, 14.33, 14.26, 14.35, 14.3, 14.29, 14.32, 14.42, 14.46, 14.34, 14.35, 14.42, 14.39, 14.36, 14.4, 14.44, 14.53, 14.58, 14.62, 14.73, 14.96, 15.04, 15.14, 15.18, 15.15, 14.96, 15.15, 15.06, 14.99]. ",external_data_mc/answer_info/answer_info_113.pkl,external_data_mc/executor_variables/executor_variables_113.pkl
114,MarketAB-alpha,"I'm looking at the AMP stock and the market RUT index. I want to know how the AMP stock performs with respect to the market RUT index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of AMP for the past 225 days is: [321.08, 312.41, 313.44, 317.58, 321.65, 321.46, 324.08, 324.51, 320.6, 320.14, 325.85, 330.14, 318.81, 311.95, 307.61, 306.78, 308.89, 302.63, 311.7, 306.0, 311.21, 309.95, 312.87, 326.51, 332.17, 329.62, 329.41, 328.8, 328.31, 332.78, 331.56, 338.8, 339.82, 340.54, 344.13, 345.76, 344.26, 346.79, 347.68, 345.75, 341.86, 344.64, 349.75, 352.5, 349.98, 348.81, 346.41, 348.98, 353.77, 361.54, 366.29, 367.82, 375.94, 373.83, 372.12, 377.56, 368.81, 372.03, 372.05, 374.23, 375.99, 377.09, 375.79, 375.0, 376.49, 375.01, 378.03, 380.35, 371.91, 373.97, 374.24, 372.39, 369.5, 368.1, 370.89, 377.61, 382.99, 383.67, 385.32, 387.22, 387.24, 388.93, 389.36, 382.71, 381.91, 386.53, 385.92, 383.92, 387.2, 391.98, 394.08, 394.5, 387.08, 388.54, 394.96, 394.93, 393.92, 392.51, 400.42, 404.18, 404.99, 405.76, 407.68, 404.42, 407.63, 409.4, 409.61, 412.47, 409.8, 409.04, 408.72, 410.01, 413.74, 410.96, 416.46, 421.3, 425.89, 428.02, 432.59, 427.06, 428.4, 428.11, 432.83, 435.28, 431.69, 430.07, 433.07, 425.79, 431.67, 432.63, 426.49, 422.91, 419.43, 410.71, 408.21, 407.89, 408.8, 409.65, 414.0, 418.34, 404.75, 409.88, 407.94, 407.05, 413.35, 408.82, 410.46, 413.47, 417.41, 423.4, 423.31, 424.37, 428.45, 431.96, 430.35, 433.73, 437.77, 434.38, 432.52, 431.51, 432.48, 436.38, 432.55, 439.35, 433.37, 426.41, 428.93, 435.01, 429.46, 422.99, 426.08, 423.95, 425.06, 426.89, 420.47, 426.74, 425.34, 422.3, 430.96, 435.46, 440.59, 439.26, 438.73, 436.52, 432.29, 428.76, 425.62, 424.52, 432.28, 432.4, 430.56, 425.49, 431.7, 438.98, 438.2, 444.63, 444.16, 427.47, 420.01, 416.45, 409.38, 418.47, 419.84, 422.69, 440.05, 437.92, 430.46, 430.28, 428.49, 416.82, 401.13, 391.53, 395.57, 392.73, 400.53, 404.99, 404.54, 408.26, 419.87, 424.07, 431.39, 435.34, 434.03, 433.61, 433.7]. ",external_data_mc/answer_info/answer_info_114.pkl,external_data_mc/executor_variables/executor_variables_114.pkl
115,MarketAB-alpha,"I'm looking at the WHLRP stock and the market DJIA index. I want to know how the WHLRP stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of WHLRP for the past 166 days is: [1.38, 1.38, 1.34, 1.33, 1.32, 1.32, 1.38, 1.4, 1.4, 1.26, 1.36, 1.26, 1.26, 1.27, 1.44, 1.41, 1.43, 1.46, 1.32, 1.34, 1.32, 1.29, 1.35, 1.33, 1.34, 1.31, 1.29, 1.29, 1.3, 1.24, 1.26, 1.32, 1.25, 1.28, 1.23, 1.21, 1.22, 1.23, 1.19, 1.25, 1.26, 1.29, 1.42, 1.58, 1.63, 1.69, 1.75, 1.89, 1.78, 1.8, 1.7, 1.69, 1.66, 1.7, 1.62, 1.53, 1.46, 1.52, 1.5, 1.47, 1.46, 1.5, 1.5, 1.5, 1.5, 1.44, 1.48, 1.55, 1.52, 1.52, 1.49, 1.52, 1.56, 1.59, 1.53, 1.56, 1.5, 1.51, 1.53, 1.5, 1.53, 1.57, 1.64, 1.64, 1.64, 1.6, 1.65, 1.62, 1.62, 1.68, 1.75, 1.78, 1.77, 1.94, 2.1, 2.18, 2.13, 2.05, 2.05, 2.11, 2.11, 2.13, 2.1, 2.15, 2.09, 2.12, 2.11, 2.2, 2.12, 2.11, 2.13, 2.19, 2.21, 2.18, 2.18, 2.12, 2.12, 2.25, 2.25, 2.25, 2.2, 2.23, 2.2, 2.23, 2.26, 2.23, 2.32, 2.51, 2.55, 2.45, 2.37, 2.37, 2.5, 2.59, 2.59, 2.55, 2.22, 2.18, 2.18, 2.38, 2.38, 2.38, 2.55, 2.55, 2.09, 2.2, 2.25, 2.57, 2.29, 2.29, 2.29, 2.29, 2.53, 2.52, 2.6, 2.58, 2.52, 2.68, 2.49, 2.49, 2.5, 2.53, 2.63, 2.63, 2.53, 2.4]. ",external_data_mc/answer_info/answer_info_115.pkl,external_data_mc/executor_variables/executor_variables_115.pkl
116,MarketAB-alpha,"I'm looking at the MAN stock and the market W5000 index. I want to know how the MAN stock performs with respect to the market W5000 index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",A,"The historical stock value data of MAN for the past 239 days is: [69.97, 70.18, 70.4, 69.48, 69.75, 70.03, 70.11, 70.16, 70.71, 70.71, 70.58, 69.46, 68.67, 69.53, 70.37, 68.38, 66.73, 67.25, 66.72, 66.35, 65.71, 66.77, 66.52, 66.76, 67.18, 66.83, 69.54, 70.32, 70.63, 69.68, 69.57, 70.09, 70.9, 68.88, 71.19, 72.25, 71.81, 72.32, 73.27, 72.32, 73.06, 73.23, 72.8, 71.81, 72.11, 72.68, 74.3, 75.67, 74.22, 73.96, 74.48, 74.63, 74.9, 74.11, 74.52, 77.98, 77.59, 77.35, 77.94, 76.43, 77.15, 77.63, 77.75, 78.06, 78.09, 77.83, 77.49, 75.69, 76.08, 75.09, 76.24, 74.67, 74.82, 74.76, 75.32, 74.96, 74.31, 74.52, 74.48, 74.58, 74.43, 74.33, 73.93, 75.31, 74.92, 75.47, 72.61, 72.61, 72.49, 71.55, 72.21, 70.9, 71.42, 71.42, 72.46, 69.09, 69.05, 70.62, 68.9, 69.93, 70.23, 70.26, 70.86, 70.86, 71.25, 71.34, 70.67, 71.8, 72.25, 70.99, 72.07, 73.49, 73.48, 72.47, 72.75, 72.88, 70.83, 71.31, 72.11, 71.34, 73.14, 73.58, 72.5, 72.73, 73.29, 74.79, 76.04, 73.95, 72.65, 72.41, 72.1, 72.7, 73.83, 74.54, 71.36, 70.9, 69.66, 69.1, 68.53, 68.62, 72.5, 73.3, 74.09, 74.86, 75.51, 74.62, 74.28, 74.59, 73.89, 73.62, 74.6, 74.0, 75.36, 75.45, 75.33, 74.68, 75.12, 76.28, 76.78, 76.16, 75.6, 75.27, 74.38, 72.72, 72.57, 73.11, 73.12, 72.82, 70.81, 71.71, 73.08, 73.71, 72.85, 72.38, 72.0, 71.57, 70.37, 70.86, 73.48, 73.5, 71.94, 71.71, 71.8, 71.99, 72.4, 72.89, 71.72, 69.63, 69.57, 69.8, 69.44, 69.21, 69.71, 68.67, 70.54, 66.26, 66.89, 68.89, 69.6, 70.23, 72.71, 74.19, 73.34, 71.44, 72.52, 71.9, 72.67, 74.09, 74.81, 75.36, 77.13, 76.58, 74.34, 72.83, 69.97, 71.15, 69.28, 71.14, 70.11, 69.29, 71.02, 70.29, 70.48, 70.86, 71.57, 70.41, 71.52, 71.4, 73.31, 73.61, 73.25, 73.05, 73.01, 73.92, 71.94, 72.51, 71.6, 69.57, 70.0]. ",external_data_mc/answer_info/answer_info_116.pkl,external_data_mc/executor_variables/executor_variables_116.pkl
117,MarketAB-alpha,"I'm looking at the ABBV stock and the market DJIA index. I want to know how the ABBV stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of ABBV for the past 201 days is: [142.2, 140.74, 142.28, 141.26, 141.2, 135.1, 137.98, 137.29, 138.54, 139.31, 137.52, 137.31, 138.24, 138.12, 134.24, 134.77, 134.82, 134.25, 133.81, 134.47, 134.49, 134.5, 134.91, 134.65, 134.85, 135.26, 134.27, 134.68, 138.47, 139.46, 140.18, 140.59, 142.35, 143.89, 145.17, 147.07, 149.02, 150.05, 150.61, 149.79, 149.19, 149.37, 147.51, 148.38, 150.67, 150.36, 150.61, 150.48, 150.7, 155.42, 156.04, 157.01, 157.67, 156.98, 157.84, 160.35, 159.27, 159.43, 158.53, 159.08, 160.32, 161.76, 162.37, 164.44, 161.22, 162.11, 161.4, 160.92, 161.91, 161.4, 164.53, 165.59, 168.13, 170.12, 171.81, 171.6, 170.9, 169.91, 170.12, 171.23, 173.36, 174.25, 172.54, 171.94, 173.52, 174.84, 175.54, 175.72, 174.75, 172.83, 175.64, 173.82, 175.89, 177.75, 177.27, 175.58, 176.35, 177.61, 176.57, 177.89, 174.63, 175.23, 176.38, 173.05, 174.26, 175.19, 175.27, 175.92, 177.05, 178.77, 177.46, 177.39, 174.09, 164.83, 166.89, 166.7, 167.03, 165.94, 164.46, 160.8, 160.2, 161.06, 162.75, 163.16, 164.9, 166.36, 168.0, 166.27, 165.77, 158.17, 160.05, 161.16, 160.25, 159.35, 162.3, 161.25, 161.07, 158.99, 158.94, 159.29, 159.81, 160.12, 162.3, 162.85, 164.91, 163.06, 161.45, 158.16, 156.82, 155.63, 153.93, 153.38, 154.89, 159.77, 158.73, 160.66, 163.93, 167.04, 167.88, 168.91, 166.17, 164.58, 165.04, 167.06, 168.14, 169.8, 170.56, 168.84, 171.17, 169.2, 169.59, 167.45, 169.96, 168.82, 164.45, 162.35, 165.73, 165.0, 166.52, 166.61, 168.36, 168.73, 168.03, 169.2, 175.27, 171.14, 172.32, 173.61, 173.15, 176.21, 182.17, 185.16, 181.94, 186.78, 185.32, 189.71, 189.29, 184.36, 185.71, 187.51, 190.4]. ",external_data_mc/answer_info/answer_info_117.pkl,external_data_mc/executor_variables/executor_variables_117.pkl
118,MarketAB-alpha,"I'm looking at the ME stock and the market COMP index. I want to know how the ME stock performs with respect to the market COMP index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",B,"The historical stock value data of ME for the past 102 days is: [0.54, 0.53, 0.49, 0.52, 0.55, 0.54, 0.54, 0.5, 0.5, 0.45, 0.44, 0.47, 0.47, 0.47, 0.44, 0.4, 0.45, 0.49, 0.51, 0.53, 0.53, 0.53, 0.52, 0.47, 0.48, 0.47, 0.49, 0.47, 0.46, 0.44, 0.4, 0.39, 0.36, 0.5, 0.48, 0.46, 0.49, 0.47, 0.46, 0.46, 0.52, 0.5, 0.5, 0.5, 0.5, 0.49, 0.5, 0.48, 0.51, 0.5, 0.53, 0.61, 0.58, 0.6, 0.59, 0.55, 0.53, 0.52, 0.51, 0.51, 0.54, 0.61, 0.56, 0.55, 0.53, 0.45, 0.44, 0.42, 0.4, 0.4, 0.41, 0.41, 0.41, 0.4, 0.4, 0.41, 0.42, 0.42, 0.44, 0.44, 0.4, 0.42, 0.39, 0.38, 0.39, 0.43, 0.43, 0.43, 0.45, 0.46, 0.47, 0.48, 0.49, 0.51, 0.51, 0.47, 0.44, 0.46, 0.46, 0.45, 0.45, 0.44]. ",external_data_mc/answer_info/answer_info_118.pkl,external_data_mc/executor_variables/executor_variables_118.pkl
119,MarketAB-alpha,"I'm looking at the KZIA stock and the market W5000 index. I want to know how the KZIA stock performs with respect to the market W5000 index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of KZIA for the past 153 days is: [0.45, 0.44, 0.4, 0.4, 0.35, 0.35, 0.36, 0.35, 0.35, 0.33, 0.34, 0.34, 0.35, 0.35, 0.35, 0.35, 0.37, 0.34, 0.34, 0.3, 0.3, 0.3, 0.27, 0.27, 0.26, 0.26, 0.28, 0.27, 0.27, 0.28, 0.29, 0.31, 0.35, 0.4, 0.32, 0.3, 0.31, 0.3, 0.28, 0.26, 0.26, 0.26, 0.25, 0.22, 0.22, 0.22, 0.21, 0.2, 0.21, 0.22, 0.22, 0.22, 0.23, 0.25, 0.28, 0.25, 0.27, 0.27, 0.32, 0.31, 0.31, 0.33, 0.33, 0.34, 0.33, 0.36, 0.41, 0.46, 0.43, 0.36, 0.36, 0.31, 0.29, 0.34, 0.35, 0.38, 0.38, 0.4, 0.39, 0.37, 0.37, 0.36, 0.33, 0.3, 0.28, 0.27, 0.28, 0.29, 0.29, 0.29, 0.29, 0.3, 0.29, 0.28, 0.29, 0.28, 0.28, 0.28, 0.28, 0.27, 0.28, 0.27, 0.24, 0.25, 0.26, 0.27, 0.25, 0.27, 0.25, 0.25, 0.27, 0.26, 0.25, 0.24, 0.23, 0.23, 0.24, 0.27, 0.27, 0.23, 0.2, 0.21, 0.22, 0.23, 0.22, 0.21, 0.21, 0.2, 0.2, 0.19, 0.67, 1.24, 0.9, 0.56, 0.57, 0.66, 0.59, 0.53, 0.46, 0.38, 0.36, 0.42, 0.4, 0.4, 0.38, 0.37, 0.35, 0.32, 0.32, 0.32, 0.35, 0.39, 0.43]. ",external_data_mc/answer_info/answer_info_119.pkl,external_data_mc/executor_variables/executor_variables_119.pkl
120,MarketAB-alpha,"I'm looking at the LSAK stock and the market RUT index. I want to know how the LSAK stock performs with respect to the market RUT index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",A,"The historical stock value data of LSAK for the past 160 days is: [3.3, 3.4, 3.38, 3.61, 3.47, 3.52, 3.59, 3.75, 3.9, 3.84, 3.72, 3.62, 3.62, 3.69, 3.6, 3.71, 3.62, 3.59, 3.53, 3.52, 3.4, 3.5, 3.56, 3.5, 3.56, 3.6, 3.53, 3.55, 3.65, 3.55, 3.72, 3.6, 3.65, 3.66, 3.72, 3.67, 3.72, 3.68, 3.74, 3.7, 3.69, 3.69, 3.75, 3.95, 4.0, 3.95, 3.98, 3.86, 3.92, 4.0, 4.04, 4.0, 4.05, 4.13, 4.08, 4.08, 4.21, 4.2, 4.1, 4.16, 4.2, 4.2, 4.22, 4.27, 4.43, 4.4, 4.43, 4.56, 4.55, 4.6, 4.66, 4.8, 5.01, 4.95, 4.93, 4.94, 4.88, 4.87, 4.85, 4.9, 4.85, 4.91, 4.88, 4.87, 4.81, 4.72, 4.46, 4.73, 4.64, 4.65, 4.55, 4.6, 4.55, 4.47, 4.48, 4.6, 4.6, 4.62, 4.69, 4.74, 4.95, 4.83, 4.87, 4.8, 4.79, 4.68, 4.74, 4.66, 4.76, 4.79, 4.66, 4.75, 4.7, 4.7, 4.83, 4.77, 4.85, 4.88, 4.99, 4.96, 4.88, 4.92, 4.73, 4.85, 4.84, 4.79, 4.81, 4.84, 4.84, 4.86, 4.6, 4.51, 4.57, 4.51, 4.45, 4.39, 4.45, 4.72, 4.78, 4.82, 4.78, 4.9, 4.86, 4.9, 4.88, 4.86, 4.83, 4.79, 4.85, 4.69, 5.0, 4.84, 4.52, 4.63, 4.75, 4.55, 5.0, 4.74, 4.32, 4.2]. ",external_data_mc/answer_info/answer_info_120.pkl,external_data_mc/executor_variables/executor_variables_120.pkl
121,MarketAB-alpha,"I'm looking at the ITM stock and the market DJIA index. I want to know how the ITM stock performs with respect to the market DJIA index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of ITM for the past 108 days is: [43.24, 43.18, 43.43, 43.6, 43.41, 43.56, 43.59, 43.87, 43.83, 44.0, 44.07, 44.17, 44.26, 44.35, 44.27, 44.4, 44.52, 44.86, 44.81, 45.05, 45.03, 45.18, 45.25, 45.31, 45.29, 45.25, 45.35, 45.61, 45.85, 45.88, 45.85, 45.92, 46.04, 46.0, 46.03, 46.16, 46.26, 46.16, 46.19, 46.18, 46.24, 46.1, 46.11, 46.25, 46.1, 46.03, 46.06, 46.05, 45.88, 45.7, 45.55, 45.53, 45.56, 45.47, 45.46, 45.65, 45.45, 45.65, 45.68, 45.86, 46.09, 45.78, 45.55, 45.72, 45.7, 45.71, 45.74, 45.75, 45.48, 45.64, 45.77, 45.71, 45.74, 45.82, 45.82, 45.95, 45.9, 45.89, 45.95, 45.99, 46.03, 45.92, 46.07, 46.04, 46.12, 46.12, 46.09, 46.04, 46.09, 45.89, 45.89, 45.89, 45.96, 45.92, 45.9, 45.99, 45.92, 45.83, 45.89, 45.87, 45.77, 45.62, 45.57, 45.62, 45.48, 45.5, 45.6, 45.26]. ",external_data_mc/answer_info/answer_info_121.pkl,external_data_mc/executor_variables/executor_variables_121.pkl
122,MarketAB-alpha,"I'm looking at the DHY stock and the market RUT index. I want to know how the DHY stock performs with respect to the market RUT index after adjusting for risk. The options are: [Option A: Underperform the market after adjusting for risk;Option B: Outperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Underperform the market after adjusting for risk', 'Option B: Outperform the market after adjusting for risk']",B,"The historical stock value data of DHY for the past 217 days is: [1.74, 1.69, 1.71, 1.69, 1.68, 1.69, 1.68, 1.69, 1.66, 1.68, 1.67, 1.69, 1.69, 1.69, 1.72, 1.73, 1.75, 1.76, 1.75, 1.78, 1.79, 1.79, 1.79, 1.78, 1.78, 1.83, 1.77, 1.76, 1.77, 1.78, 1.78, 1.77, 1.77, 1.77, 1.78, 1.79, 1.79, 1.8, 1.8, 1.79, 1.8, 1.79, 1.81, 1.83, 1.82, 1.83, 1.82, 1.82, 1.85, 1.84, 1.87, 1.86, 1.86, 1.86, 1.87, 1.89, 1.88, 1.9, 1.9, 1.89, 1.89, 1.88, 1.87, 1.86, 1.86, 1.86, 1.85, 1.87, 1.86, 1.86, 1.88, 1.87, 1.86, 1.86, 1.86, 1.87, 1.87, 1.86, 1.88, 1.89, 1.87, 1.88, 1.89, 1.86, 1.86, 1.88, 1.87, 1.87, 1.88, 1.85, 1.85, 1.86, 1.85, 1.86, 1.86, 1.87, 1.89, 1.89, 1.92, 1.92, 1.91, 1.92, 1.92, 1.97, 1.97, 1.94, 1.95, 1.94, 1.96, 1.95, 1.96, 1.94, 1.97, 1.97, 1.94, 1.95, 1.93, 1.94, 1.93, 1.95, 1.98, 1.98, 1.97, 1.98, 1.92, 1.91, 1.91, 1.92, 1.92, 1.92, 1.94, 1.97, 1.96, 1.95, 1.96, 1.95, 1.94, 1.95, 1.95, 1.96, 1.97, 1.99, 1.99, 1.99, 1.99, 1.99, 1.98, 1.98, 2.0, 1.99, 2.0, 2.0, 2.0, 2.0, 1.99, 2.01, 2.0, 2.0, 2.0, 2.01, 2.01, 2.0, 2.0, 2.0, 2.01, 2.01, 2.02, 2.02, 2.01, 2.01, 2.02, 2.02, 2.02, 2.04, 2.04, 2.02, 2.03, 1.99, 2.03, 2.04, 2.04, 2.04, 2.04, 2.05, 2.04, 2.03, 2.04, 2.05, 2.07, 2.07, 2.05, 2.04, 2.04, 2.03, 2.02, 2.03, 2.04, 2.04, 2.06, 2.06, 2.08, 2.05, 2.0, 2.06, 2.05, 2.07, 2.07, 2.08, 2.08, 2.07, 2.08, 2.09, 2.09, 2.09, 2.1, 2.09, 2.11]. ",external_data_mc/answer_info/answer_info_122.pkl,external_data_mc/executor_variables/executor_variables_122.pkl
123,MarketAB-alpha,"I'm looking at the MVST stock and the market COMP index. I want to know how the MVST stock performs with respect to the market COMP index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",B,"The historical stock value data of MVST for the past 113 days is: [0.84, 0.89, 0.59, 0.61, 0.55, 0.49, 0.51, 0.51, 0.52, 0.51, 0.51, 0.49, 0.53, 0.52, 0.49, 0.5, 0.5, 0.46, 0.45, 0.39, 0.41, 0.42, 0.39, 0.4, 0.4, 0.38, 0.43, 0.42, 0.39, 0.44, 0.43, 0.43, 0.44, 0.42, 0.42, 0.41, 0.41, 0.4, 0.4, 0.38, 0.35, 0.33, 0.32, 0.34, 0.37, 0.35, 0.39, 0.39, 0.37, 0.37, 0.4, 0.44, 0.47, 0.44, 0.43, 0.46, 0.48, 0.47, 0.44, 0.48, 0.47, 0.5, 0.54, 0.46, 0.4, 0.37, 0.37, 0.41, 0.42, 0.4, 0.42, 0.45, 0.46, 0.43, 0.43, 0.41, 0.4, 0.4, 0.42, 0.44, 0.4, 0.41, 0.42, 0.41, 0.39, 0.39, 0.37, 0.34, 0.33, 0.38, 0.36, 0.4, 0.34, 0.34, 0.32, 0.31, 0.32, 0.31, 0.31, 0.3, 0.31, 0.31, 0.32, 0.31, 0.3, 0.27, 0.27, 0.29, 0.27, 0.27, 0.27, 0.24, 0.22]. ",external_data_mc/answer_info/answer_info_123.pkl,external_data_mc/executor_variables/executor_variables_123.pkl
124,MarketAB-alpha,"I'm looking at the VTWO stock and the market SPX index. I want to know how the VTWO stock performs with respect to the market SPX index after adjusting for risk. The options are: [Option A: Outperform the market after adjusting for risk;Option B: Underperform the market after adjusting for risk]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Outperform the market after adjusting for risk', 'Option B: Underperform the market after adjusting for risk']",B,"The historical stock value data of VTWO for the past 147 days is: [65.52, 65.69, 64.91, 65.26, 65.85, 66.18, 67.96, 69.77, 68.96, 68.76, 67.96, 66.91, 67.64, 67.66, 71.35, 71.5, 70.41, 71.29, 71.72, 70.82, 71.26, 71.71, 71.51, 71.2, 71.58, 71.83, 73.98, 74.77, 73.77, 73.56, 74.17, 74.7, 74.86, 74.8, 77.44, 79.46, 78.8, 78.83, 80.42, 78.82, 80.21, 80.91, 81.92, 82.22, 81.89, 80.63, 80.14, 77.97, 77.86, 77.64, 79.08, 78.3, 78.34, 77.76, 77.62, 76.69, 76.1, 76.56, 77.33, 78.96, 78.67, 78.04, 78.65, 78.7, 80.08, 79.41, 77.45, 78.56, 78.1, 77.08, 77.76, 77.62, 78.81, 80.08, 81.53, 78.22, 80.02, 82.06, 80.99, 79.89, 79.5, 80.15, 80.3, 80.81, 81.93, 81.31, 81.78, 82.7, 82.62, 81.84, 82.44, 83.1, 83.06, 82.42, 82.32, 82.65, 81.14, 81.33, 80.84, 81.22, 82.76, 83.73, 82.64, 82.78, 82.64, 84.45, 84.75, 83.92, 82.41, 82.89, 82.04, 82.34, 82.82, 83.11, 80.93, 81.52, 80.02, 78.86, 78.58, 77.76, 77.66, 77.79, 78.63, 79.99, 79.64, 79.16, 79.92, 80.54, 78.87, 79.07, 80.55, 81.31, 82.36, 82.53, 82.1, 82.88, 82.3, 82.45, 83.34, 84.32, 83.8, 83.8, 84.04, 83.93, 83.25, 81.88, 82.76]. ",external_data_mc/answer_info/answer_info_124.pkl,external_data_mc/executor_variables/executor_variables_124.pkl
125,MarketAB-beta,"I'm looking at the AZO stock and the market RUT index. I want to know how the AZO stock performs with respect to the market RUT index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of AZO for the past 222 days is: [2540.9, 2559.48, 2539.99, 2522.93, 2472.04, 2497.6, 2521.68, 2549.04, 2564.93, 2577.58, 2571.86, 2561.65, 2552.7, 2602.75, 2650.7, 2629.4, 2494.66, 2488.55, 2432.82, 2416.54, 2436.12, 2450.73, 2446.17, 2469.7, 2477.13, 2490.72, 2546.02, 2574.54, 2605.82, 2650.45, 2652.85, 2678.96, 2702.34, 2707.12, 2684.53, 2686.42, 2658.23, 2627.05, 2649.25, 2676.09, 2671.77, 2688.0, 2613.15, 2602.18, 2596.51, 2609.93, 2641.75, 2664.11, 2671.13, 2710.62, 2632.7, 2620.49, 2633.5, 2661.25, 2719.78, 2636.69, 2628.05, 2637.36, 2649.32, 2607.34, 2612.67, 2608.69, 2569.36, 2573.32, 2567.65, 2585.61, 2568.5, 2567.59, 2557.41, 2550.93, 2553.93, 2521.28, 2537.16, 2546.65, 2569.1, 2669.56, 2669.21, 2722.98, 2746.44, 2770.99, 2768.31, 2751.62, 2748.61, 2780.24, 2794.44, 2838.66, 2762.13, 2798.15, 2821.89, 2803.98, 2811.86, 2842.54, 2731.66, 2680.0, 2703.88, 2726.15, 2726.87, 2724.88, 2727.83, 2696.15, 2729.69, 2758.77, 2756.34, 2770.46, 2954.99, 3011.62, 3006.02, 3035.99, 3079.94, 3102.86, 3104.2, 3124.01, 3079.49, 3060.28, 3059.51, 3089.24, 3119.04, 3124.33, 3101.97, 3153.81, 3187.38, 3210.4, 3239.32, 3170.82, 3191.48, 3192.79, 3151.65, 3168.6, 3170.04, 3146.63, 3085.04, 3104.94, 3076.09, 3043.62, 3025.75, 3006.76, 2962.32, 2903.51, 2910.27, 2938.26, 2973.17, 2985.54, 2961.66, 2961.04, 2988.51, 2945.25, 2945.98, 2998.78, 2956.4, 2946.81, 2962.09, 2952.2, 2967.7, 2990.65, 2962.52, 2987.05, 2979.32, 2937.92, 2921.43, 2930.17, 2900.99, 2917.5, 2924.04, 2820.83, 2772.64, 2777.54, 2792.9, 2800.0, 2739.1, 2772.56, 2769.94, 2772.62, 2790.98, 2776.28, 2764.69, 2800.7, 2780.95, 2811.03, 2817.93, 2813.4, 2835.82, 2938.83, 2968.75, 3008.23, 2990.35, 2985.44, 2936.41, 2929.7, 2955.4, 2964.1, 2832.79, 2870.0, 2844.88, 2815.0, 2836.4, 2817.06, 2856.35, 2881.9, 2920.83, 2941.46, 2985.33, 2984.11, 2926.35, 2950.4, 2957.73, 2921.53, 2941.73, 3030.97, 3090.31, 3072.66, 3108.4, 3133.69, 3148.36, 3177.67, 3112.43, 3119.59, 3084.34, 3157.02, 3120.25, 3148.6, 3155.91, 3196.42]. ",external_data_mc/answer_info/answer_info_125.pkl,external_data_mc/executor_variables/executor_variables_125.pkl
126,MarketAB-beta,"I'm looking at the FMB stock and the market SPX index. I want to know how the FMB stock performs with respect to the market SPX index in terms of volatility. The options are: [Option A: More volatile than the market;Option B: Less volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: More volatile than the market', 'Option B: Less volatile than the market']",B,"The historical stock value data of FMB for the past 159 days is: [50.65, 50.51, 50.37, 50.29, 50.27, 50.28, 50.19, 50.06, 50.23, 50.23, 50.4, 50.43, 50.57, 50.78, 50.54, 50.33, 50.46, 50.43, 50.45, 50.42, 50.48, 50.24, 50.42, 50.49, 50.49, 50.52, 50.54, 50.55, 50.67, 50.55, 50.55, 50.64, 50.68, 50.72, 50.61, 50.74, 50.74, 50.82, 50.85, 50.83, 50.76, 50.77, 50.72, 50.71, 50.72, 50.75, 50.72, 50.7, 50.78, 50.74, 50.73, 50.72, 50.68, 50.56, 50.42, 50.36, 50.43, 50.31, 50.31, 50.42, 50.1, 50.23, 50.33, 50.25, 50.2, 50.29, 50.27, 50.31, 50.32, 50.33, 50.3, 50.15, 50.17, 50.26, 50.21, 50.3, 50.36, 50.48, 50.55, 50.66, 50.68, 50.71, 50.63, 50.65, 50.72, 50.79, 50.74, 50.62, 50.55, 50.48, 50.37, 50.26, 50.24, 50.23, 50.07, 50.11, 50.17, 50.31, 50.37, 50.55, 50.74, 50.56, 50.53, 50.65, 50.86, 50.95, 51.02, 50.89, 51.01, 50.93, 50.9, 50.88, 50.93, 50.76, 50.89, 50.79, 50.73, 50.84, 50.97, 51.05, 50.95, 51.02, 51.06, 51.2, 51.24, 51.11, 51.23, 51.22, 51.17, 51.15, 51.17, 51.18, 51.1, 51.16, 51.18, 51.21, 51.2, 51.31, 51.42, 51.74, 51.77, 51.7, 51.47, 51.38, 51.44, 51.48, 51.52, 51.59, 51.42, 51.45, 51.47, 51.56, 51.6, 51.5, 51.67, 51.59, 51.57, 51.56, 51.58]. ",external_data_mc/answer_info/answer_info_126.pkl,external_data_mc/executor_variables/executor_variables_126.pkl
127,MarketAB-beta,"I'm looking at the CHGX stock and the market DJIA index. I want to know how the CHGX stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of CHGX for the past 74 days is: [31.3, 31.49, 31.77, 31.65, 31.48, 31.42, 31.65, 31.75, 32.19, 32.32, 32.83, 32.97, 32.94, 33.0, 33.17, 32.65, 33.03, 33.09, 33.22, 33.26, 33.32, 33.22, 32.95, 32.58, 32.56, 32.58, 33.12, 33.08, 33.21, 33.36, 33.39, 33.34, 33.16, 33.51, 33.94, 34.16, 34.17, 34.11, 34.3, 34.22, 34.54, 34.55, 34.12, 34.48, 34.7, 34.59, 34.55, 34.83, 34.84, 35.08, 35.09, 34.53, 34.88, 35.09, 34.84, 34.64, 34.51, 35.22, 35.36, 35.35, 35.45, 35.39, 35.67, 35.97, 36.01, 35.56, 35.81, 36.2, 35.93, 35.86, 36.22, 36.11, 35.84, 35.63]. ",external_data_mc/answer_info/answer_info_127.pkl,external_data_mc/executor_variables/executor_variables_127.pkl
128,MarketAB-beta,"I'm looking at the SXQG stock and the market RUT index. I want to know how the SXQG stock performs with respect to the market RUT index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of SXQG for the past 186 days is: [24.22, 24.27, 23.95, 23.73, 23.39, 23.33, 23.53, 23.03, 22.76, 22.66, 22.92, 23.17, 23.46, 23.83, 24.04, 24.09, 24.23, 24.26, 23.99, 24.38, 24.41, 24.87, 24.83, 24.87, 24.93, 25.16, 25.17, 25.28, 25.32, 25.28, 25.16, 25.19, 25.27, 25.5, 25.35, 25.31, 25.22, 25.41, 25.5, 25.79, 26.03, 26.4, 26.26, 26.27, 26.32, 26.46, 26.15, 26.47, 26.56, 26.64, 26.66, 26.67, 26.59, 26.26, 25.94, 25.92, 25.84, 26.28, 26.33, 26.59, 26.69, 26.75, 26.74, 26.64, 26.95, 27.26, 27.52, 27.51, 27.42, 27.47, 27.35, 27.66, 27.69, 27.28, 27.57, 27.84, 27.87, 27.7, 27.93, 28.04, 28.34, 28.12, 27.73, 28.02, 28.06, 27.75, 27.5, 27.51, 28.11, 28.21, 28.29, 28.24, 28.14, 28.29, 28.59, 28.52, 27.98, 28.14, 28.52, 28.28, 28.11, 28.5, 28.48, 28.46, 28.04, 28.25, 28.48, 28.72, 28.83, 28.67, 28.48, 28.48, 28.52, 28.58, 28.46, 28.14, 28.06, 27.69, 28.02, 28.06, 28.07, 27.77, 27.97, 27.59, 27.17, 27.19, 26.98, 26.78, 26.46, 26.7, 27.1, 27.08, 26.95, 27.34, 27.3, 26.87, 26.77, 27.0, 27.48, 27.73, 27.85, 27.8, 27.92, 28.07, 27.98, 28.09, 28.61, 28.53, 28.52, 28.65, 28.63, 28.5, 28.39, 28.48, 28.44, 28.29, 27.92, 27.98, 27.95, 28.13, 28.65, 28.65, 28.64, 28.74, 28.98, 29.36, 29.38, 29.53, 29.79, 29.93, 29.82, 29.82, 29.59, 29.84, 29.85, 29.88, 29.83, 29.83, 30.01, 30.13, 30.4, 30.38, 30.27, 30.43, 30.18, 30.43]. ",external_data_mc/answer_info/answer_info_128.pkl,external_data_mc/executor_variables/executor_variables_128.pkl
129,MarketAB-beta,"I'm looking at the EWL stock and the market COMP index. I want to know how the EWL stock performs with respect to the market COMP index in terms of volatility. The options are: [Option A: More volatile than the market;Option B: Less volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: More volatile than the market', 'Option B: Less volatile than the market']",B,"The historical stock value data of EWL for the past 36 days is: [47.09, 46.88, 47.29, 46.97, 46.83, 46.89, 46.73, 47.3, 46.87, 46.96, 46.72, 46.9, 46.28, 45.82, 45.93, 45.81, 46.07, 45.58, 45.9, 46.08, 46.85, 47.29, 47.2, 46.54, 46.88, 46.37, 46.23, 46.24, 45.82, 45.54, 45.43, 45.59, 44.7, 45.35, 45.79, 45.72]. ",external_data_mc/answer_info/answer_info_129.pkl,external_data_mc/executor_variables/executor_variables_129.pkl
130,MarketAB-beta,"I'm looking at the AACG stock and the market COMP index. I want to know how the AACG stock performs with respect to the market COMP index in terms of volatility. The options are: [Option A: More volatile than the market;Option B: Less volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: More volatile than the market', 'Option B: Less volatile than the market']",B,"The historical stock value data of AACG for the past 192 days is: [0.91, 0.96, 0.85, 0.85, 0.85, 0.87, 0.89, 0.86, 0.86, 0.93, 0.91, 0.91, 0.93, 0.92, 0.85, 0.95, 0.88, 0.88, 0.86, 0.89, 0.85, 0.95, 0.89, 0.81, 0.9, 0.89, 0.89, 0.85, 0.85, 0.83, 0.85, 0.83, 0.81, 0.81, 0.84, 1.05, 1.14, 1.16, 0.97, 1.04, 1.09, 1.11, 1.05, 1.11, 1.15, 1.02, 1.06, 1.05, 1.05, 1.08, 1.09, 1.05, 1.03, 1.09, 1.11, 1.08, 1.1, 1.08, 1.09, 1.1, 1.08, 1.08, 1.1, 1.16, 1.18, 1.25, 1.28, 1.3, 1.45, 1.43, 1.46, 1.34, 1.34, 1.34, 1.22, 1.24, 1.24, 1.24, 1.29, 1.41, 1.49, 1.46, 1.61, 1.51, 1.57, 1.59, 1.59, 1.59, 1.61, 1.58, 1.55, 1.4, 1.27, 1.16, 1.08, 1.06, 1.02, 1.12, 1.06, 1.0, 1.01, 1.01, 1.08, 1.06, 1.07, 1.05, 1.07, 1.04, 0.92, 0.86, 0.88, 0.97, 1.03, 0.97, 0.89, 0.89, 0.87, 0.88, 0.87, 0.87, 0.89, 0.9, 0.9, 0.91, 0.87, 0.86, 0.88, 0.9, 0.9, 0.84, 0.92, 0.93, 0.91, 0.91, 0.91, 0.95, 0.91, 0.88, 0.85, 0.84, 0.85, 0.9, 0.95, 0.9, 0.9, 0.87, 0.89, 0.86, 0.82, 0.82, 0.85, 0.81, 0.84, 0.81, 0.84, 0.83, 0.82, 0.82, 0.83, 0.84, 0.8, 0.82, 0.83, 0.82, 0.83, 0.86, 0.83, 0.84, 0.82, 0.8, 0.83, 0.76, 0.67, 0.59, 0.65, 0.65, 0.65, 0.67, 0.68, 0.66, 0.65, 0.65, 0.65, 0.66, 0.65, 0.6, 0.65, 0.66, 0.65, 0.64, 0.66, 0.64]. ",external_data_mc/answer_info/answer_info_130.pkl,external_data_mc/executor_variables/executor_variables_130.pkl
131,MarketAB-beta,"I'm looking at the EWM stock and the market W5000 index. I want to know how the EWM stock performs with respect to the market W5000 index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of EWM for the past 53 days is: [21.74, 21.7, 21.93, 22.0, 21.75, 21.78, 22.14, 22.43, 22.43, 22.5, 22.49, 22.44, 22.36, 22.49, 22.67, 22.77, 22.77, 22.91, 23.05, 22.92, 22.86, 22.81, 22.79, 22.78, 22.6, 22.67, 22.61, 22.69, 22.83, 22.78, 22.9, 22.66, 22.66, 22.64, 22.89, 22.8, 22.67, 22.78, 22.84, 22.44, 22.51, 22.48, 22.37, 22.38, 22.35, 22.46, 22.51, 22.59, 22.94, 22.93, 22.92, 22.86, 23.06]. ",external_data_mc/answer_info/answer_info_131.pkl,external_data_mc/executor_variables/executor_variables_131.pkl
132,MarketAB-beta,"I'm looking at the FMAG stock and the market COMP index. I want to know how the FMAG stock performs with respect to the market COMP index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of FMAG for the past 249 days is: [21.73, 21.29, 21.35, 21.42, 21.08, 21.17, 21.36, 21.27, 21.28, 20.98, 21.32, 21.29, 21.63, 21.75, 21.89, 22.09, 22.0, 21.75, 22.05, 21.98, 21.59, 21.37, 21.04, 21.08, 21.23, 20.89, 20.55, 20.52, 20.77, 20.86, 21.08, 21.46, 21.8, 21.84, 22.03, 22.17, 22.09, 22.52, 22.54, 22.91, 22.84, 22.91, 22.91, 23.13, 23.05, 23.23, 23.22, 23.19, 23.1, 23.07, 23.08, 23.2, 23.02, 22.98, 22.9, 23.13, 23.23, 23.44, 23.65, 23.89, 23.77, 23.81, 24.02, 24.04, 23.71, 23.98, 24.01, 24.09, 24.1, 24.16, 24.1, 23.81, 23.59, 23.57, 23.55, 23.95, 23.97, 24.19, 24.28, 24.36, 24.38, 24.31, 24.61, 24.92, 25.05, 25.05, 25.11, 25.27, 25.24, 25.51, 25.55, 25.09, 25.53, 26.06, 26.05, 26.03, 26.36, 26.35, 26.62, 26.47, 26.14, 26.5, 26.57, 26.47, 26.24, 26.22, 27.08, 27.09, 27.1, 27.07, 27.04, 27.19, 27.5, 27.55, 27.21, 27.41, 27.8, 27.48, 27.24, 27.69, 27.63, 27.62, 27.32, 27.53, 27.74, 28.01, 28.22, 28.21, 28.02, 27.97, 28.05, 28.06, 28.02, 27.74, 27.93, 27.55, 28.05, 27.99, 27.91, 27.75, 27.98, 27.53, 27.22, 27.31, 27.08, 26.95, 26.48, 26.72, 27.19, 27.17, 27.07, 27.5, 27.42, 26.96, 26.89, 26.99, 27.34, 27.78, 27.87, 27.83, 27.91, 27.99, 27.87, 27.93, 28.4, 28.22, 28.22, 28.4, 28.44, 28.38, 28.4, 28.59, 28.57, 28.33, 28.06, 28.11, 28.21, 28.31, 28.88, 28.79, 28.76, 28.95, 29.01, 29.41, 29.51, 29.58, 29.9, 30.06, 29.92, 29.88, 29.55, 29.83, 29.74, 29.77, 29.67, 29.7, 29.84, 30.07, 30.29, 30.3, 30.28, 30.58, 30.2, 30.32, 30.34, 30.46, 29.57, 29.38, 29.24, 29.78, 29.87, 28.84, 28.57, 28.98, 29.0, 28.72, 29.48, 29.04, 28.24, 27.46, 27.9, 27.59, 28.39, 28.59, 28.54, 29.06, 29.25, 29.75, 29.71, 29.97, 29.97, 30.09, 29.73, 30.0, 29.79, 29.85, 29.66, 29.62, 30.01, 29.19, 29.1, 28.96, 28.43, 28.74, 29.03, 29.49, 29.85, 30.06, 30.16]. ",external_data_mc/answer_info/answer_info_132.pkl,external_data_mc/executor_variables/executor_variables_132.pkl
133,MarketAB-beta,"I'm looking at the NXU stock and the market DJIA index. I want to know how the NXU stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of NXU for the past 101 days is: [3.0, 3.0, 3.0, 3.0, 2.85, 3.15, 3.15, 2.66, 2.71, 2.3, 2.06, 1.76, 1.61, 1.94, 1.72, 1.78, 1.73, 1.76, 1.69, 1.68, 1.55, 1.31, 1.26, 1.15, 1.27, 1.19, 1.32, 1.15, 1.09, 1.02, 0.94, 0.92, 1.06, 1.02, 0.99, 1.01, 0.96, 0.96, 0.95, 0.89, 0.92, 1.05, 0.97, 0.92, 0.91, 0.88, 0.99, 0.93, 0.82, 0.71, 0.8, 1.0, 0.88, 0.85, 0.77, 0.98, 0.82, 0.85, 0.81, 0.78, 0.76, 0.76, 0.78, 0.74, 0.71, 0.72, 0.7, 0.65, 0.71, 0.7, 0.68, 0.69, 0.69, 0.67, 0.65, 0.63, 0.6, 0.59, 0.58, 0.57, 0.51, 0.5, 0.44, 0.41, 0.38, 0.37, 0.38, 0.37, 0.36, 0.36, 0.43, 0.52, 0.52, 0.53, 0.55, 0.49, 0.49, 0.44, 0.42, 0.41, 0.41]. ",external_data_mc/answer_info/answer_info_133.pkl,external_data_mc/executor_variables/executor_variables_133.pkl
134,MarketAB-beta,"I'm looking at the TXT stock and the market W5000 index. I want to know how the TXT stock performs with respect to the market W5000 index in terms of volatility. The options are: [Option A: More volatile than the market;Option B: Less volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: More volatile than the market', 'Option B: Less volatile than the market']",B,"The historical stock value data of TXT for the past 146 days is: [79.0, 79.69, 78.21, 78.22, 79.2, 79.81, 78.45, 77.27, 75.83, 74.9, 74.96, 74.29, 75.95, 75.18, 75.73, 75.93, 75.92, 77.4, 77.45, 77.54, 76.97, 76.07, 74.81, 76.05, 76.0, 77.06, 77.5, 76.72, 77.33, 77.91, 77.71, 77.94, 78.32, 77.14, 76.6, 74.76, 76.59, 77.81, 77.2, 76.31, 76.56, 76.18, 75.86, 77.07, 77.36, 78.71, 79.57, 79.29, 79.55, 79.96, 79.23, 80.02, 80.38, 80.68, 80.66, 80.7, 80.37, 80.38, 78.45, 78.6, 78.55, 78.73, 78.19, 78.14, 78.03, 79.33, 77.5, 77.03, 78.29, 78.74, 79.23, 79.28, 85.49, 86.1, 84.77, 85.71, 85.94, 84.65, 85.75, 85.94, 85.21, 86.03, 87.65, 87.53, 87.14, 87.41, 85.94, 86.26, 86.15, 85.63, 84.52, 85.16, 85.32, 85.91, 87.05, 87.61, 87.54, 89.01, 88.62, 89.33, 89.28, 90.52, 90.26, 92.07, 91.75, 91.67, 92.14, 92.21, 92.87, 93.08, 94.1, 94.95, 95.37, 95.81, 95.68, 95.92, 96.21, 95.89, 95.29, 94.09, 94.32, 95.46, 96.61, 96.94, 96.27, 95.6, 94.58, 93.92, 93.02, 93.2, 92.17, 92.54, 93.26, 93.73, 95.24, 93.97, 84.86, 86.47, 86.36, 84.55, 84.73, 85.33, 85.55, 86.86, 87.45, 86.68]. ",external_data_mc/answer_info/answer_info_134.pkl,external_data_mc/executor_variables/executor_variables_134.pkl
135,MarketAB-beta,"I'm looking at the SLGL stock and the market W5000 index. I want to know how the SLGL stock performs with respect to the market W5000 index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of SLGL for the past 63 days is: [1.47, 1.51, 1.41, 1.4, 1.42, 1.39, 1.39, 1.37, 1.38, 1.25, 1.3, 1.33, 1.19, 1.23, 1.19, 1.17, 1.17, 1.18, 1.05, 0.92, 1.0, 0.99, 1.1, 1.1, 1.25, 1.29, 1.2, 1.3, 1.22, 1.25, 1.11, 1.22, 1.28, 1.13, 1.15, 1.21, 1.2, 1.21, 1.2, 1.18, 1.17, 1.14, 1.13, 1.15, 1.17, 1.16, 1.15, 1.08, 1.2, 1.17, 1.22, 1.4, 1.5, 1.39, 1.25, 1.3, 1.25, 1.25, 1.3, 1.3, 1.27, 1.08, 1.12]. ",external_data_mc/answer_info/answer_info_135.pkl,external_data_mc/executor_variables/executor_variables_135.pkl
136,MarketAB-beta,"I'm looking at the UTZ stock and the market RUT index. I want to know how the UTZ stock performs with respect to the market RUT index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of UTZ for the past 128 days is: [17.18, 17.05, 16.41, 16.19, 16.06, 16.28, 16.24, 16.2, 15.95, 16.27, 16.38, 16.3, 16.81, 17.2, 17.18, 17.42, 17.49, 17.98, 18.37, 18.33, 17.96, 17.51, 17.97, 18.21, 18.76, 18.2, 18.4, 18.95, 18.82, 18.46, 18.46, 18.84, 18.92, 18.57, 18.26, 18.12, 17.48, 17.31, 17.77, 17.4, 17.45, 17.36, 17.63, 17.67, 18.07, 17.5, 17.75, 18.01, 17.71, 18.25, 18.19, 18.12, 18.35, 17.92, 17.9, 18.09, 18.22, 18.39, 18.01, 17.18, 17.05, 17.13, 17.41, 17.31, 17.37, 17.23, 17.01, 16.85, 17.02, 17.2, 17.45, 17.27, 17.87, 18.11, 18.58, 18.59, 18.45, 18.0, 17.88, 17.98, 19.38, 19.08, 19.1, 18.81, 18.39, 18.26, 18.17, 18.21, 18.54, 17.95, 18.08, 17.91, 17.96, 18.16, 17.99, 17.86, 17.95, 17.77, 17.95, 18.15, 18.38, 18.21, 18.32, 18.56, 18.47, 18.27, 17.99, 17.96, 18.17, 17.7, 17.55, 17.89, 17.38, 17.19, 17.32, 17.31, 17.1, 16.53, 16.71, 16.57, 16.57, 16.31, 16.33, 16.43, 16.23, 15.23, 14.9, 15.3]. ",external_data_mc/answer_info/answer_info_136.pkl,external_data_mc/executor_variables/executor_variables_136.pkl
137,MarketAB-beta,"I'm looking at the ALNT stock and the market W5000 index. I want to know how the ALNT stock performs with respect to the market W5000 index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of ALNT for the past 244 days is: [31.47, 31.11, 30.55, 30.32, 30.36, 30.58, 30.15, 30.9, 31.13, 30.78, 30.4, 29.75, 29.73, 29.44, 30.12, 29.98, 30.3, 30.13, 29.59, 28.46, 29.09, 29.74, 28.72, 28.46, 28.12, 27.21, 27.77, 27.33, 27.41, 27.5, 27.53, 27.48, 28.24, 25.38, 26.07, 26.05, 26.28, 25.87, 25.62, 25.78, 25.85, 27.48, 26.89, 26.03, 26.4, 26.44, 26.11, 26.27, 26.73, 26.01, 25.1, 25.93, 25.99, 26.86, 27.49, 28.11, 28.1, 27.53, 27.83, 27.27, 27.52, 28.9, 30.98, 31.1, 29.96, 30.32, 30.29, 30.38, 30.62, 30.92, 30.87, 30.7, 30.11, 29.45, 28.44, 28.33, 28.07, 28.5, 28.12, 28.25, 28.01, 28.29, 28.02, 27.91, 27.71, 27.83, 28.14, 28.1, 27.45, 28.86, 28.58, 29.37, 28.84, 27.77, 28.9, 28.54, 27.56, 28.13, 27.92, 28.15, 28.5, 29.12, 26.92, 27.79, 29.32, 28.28, 28.97, 28.24, 27.96, 28.16, 28.32, 28.65, 27.77, 28.32, 28.97, 29.91, 29.9, 36.06, 33.44, 32.99, 32.75, 32.51, 32.2, 31.76, 32.82, 32.04, 32.4, 33.52, 33.47, 33.34, 33.64, 33.87, 35.7, 35.59, 34.35, 33.53, 33.35, 33.04, 32.71, 32.73, 32.49, 31.63, 32.05, 31.54, 31.01, 30.79, 29.13, 29.03, 29.56, 29.72, 29.86, 30.01, 29.27, 29.89, 29.97, 29.32, 29.35, 29.85, 30.15, 30.58, 31.31, 31.12, 30.03, 29.53, 28.41, 28.63, 29.2, 28.64, 28.74, 29.13, 29.06, 28.19, 26.65, 26.66, 26.71, 25.99, 26.73, 27.06, 26.08, 25.86, 26.57, 25.45, 25.97, 25.98, 26.11, 26.15, 25.62, 24.27, 24.8, 25.72, 25.53, 25.44, 25.21, 25.0, 24.99, 25.02, 25.23, 24.36, 24.67, 24.63, 24.2, 24.09, 24.03, 24.66, 26.29, 26.75, 27.17, 29.35, 28.32, 27.65, 27.35, 27.83, 28.4, 27.23, 27.91, 28.78, 28.2, 28.48, 28.9, 27.42, 25.72, 24.27, 24.41, 23.83, 20.43, 20.57, 20.95, 20.97, 20.77, 21.17, 20.88, 20.98, 20.62, 20.99, 20.66, 20.89, 21.32, 20.94, 20.75, 21.02, 21.24, 20.67, 20.75, 20.51]. ",external_data_mc/answer_info/answer_info_137.pkl,external_data_mc/executor_variables/executor_variables_137.pkl
138,MarketAB-beta,"I'm looking at the IWR stock and the market DJIA index. I want to know how the IWR stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of IWR for the past 151 days is: [76.84, 76.84, 77.53, 77.4, 76.23, 77.19, 77.29, 76.52, 77.12, 77.59, 78.02, 78.33, 78.71, 77.19, 78.29, 79.26, 78.86, 78.42, 78.47, 79.38, 79.65, 79.55, 79.91, 79.93, 80.39, 80.97, 81.19, 80.55, 81.22, 81.9, 81.59, 81.55, 81.8, 81.86, 81.04, 80.92, 81.04, 81.55, 82.42, 83.13, 82.54, 82.48, 82.48, 83.67, 83.87, 83.32, 82.48, 82.74, 81.83, 82.56, 82.9, 83.05, 81.7, 81.7, 80.41, 79.39, 78.92, 78.62, 78.51, 78.46, 79.17, 80.16, 80.2, 80.06, 80.31, 80.77, 79.41, 79.27, 79.99, 80.57, 81.51, 81.56, 81.35, 82.11, 82.2, 82.04, 82.55, 83.37, 82.97, 83.07, 83.14, 83.03, 82.62, 81.46, 82.24, 81.58, 80.58, 80.96, 81.7, 81.1, 80.58, 81.44, 81.14, 80.68, 81.11, 80.82, 81.66, 81.22, 80.52, 81.0, 81.29, 81.2, 81.27, 81.59, 81.11, 80.79, 80.99, 81.08, 80.41, 80.7, 80.83, 80.68, 80.88, 80.61, 81.29, 82.59, 83.39, 83.67, 85.35, 84.54, 83.8, 83.39, 84.27, 84.08, 82.69, 83.06, 84.16, 84.29, 84.59, 84.94, 83.7, 81.96, 79.92, 80.89, 80.25, 81.97, 82.11, 81.7, 82.7, 82.84, 84.09, 84.32, 84.97, 84.45, 85.33, 84.98, 86.33, 86.2, 86.11, 85.71, 86.01]. ",external_data_mc/answer_info/answer_info_138.pkl,external_data_mc/executor_variables/executor_variables_138.pkl
139,MarketAB-beta,"I'm looking at the BBW stock and the market SPX index. I want to know how the BBW stock performs with respect to the market SPX index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of BBW for the past 163 days is: [25.23, 24.69, 24.31, 24.65, 24.87, 25.77, 25.79, 25.12, 25.95, 26.24, 25.91, 25.91, 26.11, 25.62, 25.54, 25.2, 24.07, 24.96, 24.13, 23.38, 23.27, 23.13, 22.73, 22.63, 22.78, 23.6, 23.23, 23.23, 22.9, 23.58, 22.69, 22.96, 22.59, 22.87, 22.69, 22.68, 22.66, 22.62, 22.53, 22.32, 22.24, 22.08, 21.7, 22.08, 22.09, 21.86, 21.3, 21.5, 21.68, 21.67, 21.98, 21.26, 21.32, 21.79, 21.6, 22.1, 22.35, 22.2, 22.5, 22.39, 22.17, 21.6, 21.46, 21.81, 22.23, 22.24, 21.57, 21.8, 22.36, 22.5, 22.74, 22.27, 22.56, 23.0, 23.43, 23.51, 23.56, 23.59, 23.59, 23.51, 23.53, 23.19, 23.71, 23.82, 24.02, 24.16, 24.64, 28.6, 29.52, 28.51, 28.53, 28.76, 28.43, 28.37, 28.76, 29.2, 29.5, 29.64, 29.41, 28.9, 28.53, 27.8, 27.78, 28.55, 28.4, 28.23, 27.93, 27.58, 27.36, 27.28, 27.11, 27.32, 27.97, 28.57, 29.06, 29.53, 29.06, 29.56, 30.18, 29.92, 29.43, 29.83, 29.71, 28.54, 28.26, 28.39, 29.14, 28.25, 28.83, 29.7, 30.07, 29.71, 29.88, 29.41, 29.35, 29.17, 29.16, 30.1, 31.98, 31.75, 27.33, 26.86, 27.55, 26.71, 27.07, 26.64, 25.96, 26.49, 25.93, 25.89, 25.41, 25.03, 25.28, 25.26, 24.87, 25.47, 25.59, 25.25, 25.23, 25.34, 25.27, 25.19, 24.92]. ",external_data_mc/answer_info/answer_info_139.pkl,external_data_mc/executor_variables/executor_variables_139.pkl
140,MarketAB-beta,"I'm looking at the BIPH stock and the market COMP index. I want to know how the BIPH stock performs with respect to the market COMP index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of BIPH for the past 202 days is: [13.81, 13.74, 14.27, 14.32, 14.97, 15.64, 15.46, 15.02, 15.09, 14.66, 14.16, 14.3, 14.57, 14.84, 14.76, 14.91, 14.77, 14.64, 14.51, 14.49, 14.15, 14.28, 14.52, 15.18, 15.4, 15.1, 15.13, 15.23, 15.15, 14.8, 14.91, 15.22, 15.45, 15.84, 15.66, 15.49, 15.65, 16.09, 16.17, 16.03, 15.89, 15.86, 16.02, 15.96, 15.64, 15.69, 15.63, 15.65, 16.09, 16.17, 16.39, 16.65, 16.81, 16.7, 16.44, 16.52, 16.71, 17.05, 16.88, 16.74, 17.1, 17.15, 17.13, 17.28, 16.79, 17.17, 16.95, 16.89, 16.78, 16.88, 17.21, 17.33, 16.99, 16.24, 16.01, 16.17, 16.08, 16.24, 16.76, 16.95, 17.29, 17.42, 17.42, 17.37, 18.4, 17.96, 17.86, 17.96, 18.33, 18.28, 18.39, 18.48, 18.45, 18.53, 18.32, 18.21, 18.14, 18.2, 18.5, 18.5, 18.11, 18.01, 18.35, 18.19, 17.8, 18.15, 18.0, 18.09, 18.07, 18.26, 18.01, 17.86, 17.2, 16.77, 16.84, 16.34, 16.34, 16.52, 16.29, 16.38, 16.38, 16.88, 16.79, 16.72, 16.53, 16.69, 16.47, 16.45, 16.71, 16.96, 17.2, 17.19, 16.67, 16.8, 16.75, 16.88, 16.68, 16.89, 16.78, 16.83, 17.05, 16.84, 16.58, 16.48, 16.58, 16.63, 16.33, 16.36, 16.87, 17.11, 17.22, 17.12, 17.39, 17.23, 17.28, 17.28, 17.43, 17.31, 16.99, 16.8, 16.86, 16.75, 16.87, 17.2, 17.21, 17.57, 17.61, 17.36, 17.57, 17.53, 17.82, 17.87, 17.54, 17.17, 17.39, 17.48, 17.66, 17.63, 17.78, 17.71, 17.59, 17.76, 17.81, 17.44, 17.04, 17.22, 17.19, 17.17, 17.19, 16.85, 17.23, 17.38, 17.16, 17.28, 17.19, 17.27, 17.17, 17.12, 17.48, 17.71, 17.72, 17.71]. ",external_data_mc/answer_info/answer_info_140.pkl,external_data_mc/executor_variables/executor_variables_140.pkl
141,MarketAB-beta,"I'm looking at the FTAI stock and the market DJIA index. I want to know how the FTAI stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of FTAI for the past 185 days is: [33.83, 34.35, 33.22, 33.02, 32.9, 32.16, 33.45, 32.69, 34.96, 35.48, 36.18, 36.9, 38.24, 38.72, 38.73, 39.74, 39.8, 39.07, 39.23, 40.29, 40.46, 41.18, 42.11, 41.43, 41.48, 41.27, 41.39, 41.38, 41.31, 41.41, 40.67, 40.32, 40.72, 41.77, 41.71, 41.63, 40.96, 42.19, 43.35, 44.07, 43.64, 44.18, 44.38, 43.78, 44.09, 44.83, 44.04, 45.03, 46.44, 46.75, 46.35, 46.21, 45.85, 44.8, 44.22, 45.25, 45.46, 46.76, 46.17, 46.05, 48.03, 47.7, 47.63, 48.42, 48.93, 49.57, 50.45, 49.71, 50.39, 50.99, 51.58, 53.09, 53.49, 53.31, 54.75, 55.55, 55.14, 54.68, 53.2, 52.26, 53.25, 53.5, 52.35, 53.4, 53.09, 52.86, 52.27, 52.74, 53.84, 57.22, 55.79, 55.97, 55.26, 55.63, 57.51, 57.52, 57.26, 57.57, 58.3, 56.62, 55.8, 57.1, 57.94, 57.04, 59.64, 58.98, 59.51, 62.89, 64.55, 64.92, 65.56, 66.25, 66.27, 66.85, 67.34, 66.82, 69.68, 69.57, 72.23, 70.61, 70.53, 69.97, 71.27, 70.61, 70.55, 71.24, 69.44, 67.62, 68.08, 70.42, 72.2, 72.96, 72.76, 70.28, 72.11, 69.74, 72.71, 75.01, 77.8, 77.88, 76.98, 77.98, 78.47, 78.88, 76.43, 78.26, 79.54, 78.47, 78.02, 79.83, 82.69, 81.66, 80.32, 84.23, 84.41, 78.9, 81.05, 84.08, 82.68, 77.99, 81.06, 82.43, 81.72, 84.7, 83.66, 87.08, 85.87, 84.32, 89.14, 93.41, 92.33, 92.46, 91.22, 99.38, 100.42, 101.52, 102.93, 104.7, 107.65, 106.48, 105.41, 106.16, 103.95, 95.4, 96.17]. ",external_data_mc/answer_info/answer_info_141.pkl,external_data_mc/executor_variables/executor_variables_141.pkl
142,MarketAB-beta,"I'm looking at the JAKK stock and the market DJIA index. I want to know how the JAKK stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: More volatile than the market;Option B: Less volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: More volatile than the market', 'Option B: Less volatile than the market']",A,"The historical stock value data of JAKK for the past 241 days is: [18.37, 17.97, 18.07, 17.71, 17.77, 17.79, 17.96, 17.7, 17.28, 16.89, 16.75, 18.04, 17.95, 17.26, 17.26, 16.99, 16.96, 16.95, 16.43, 16.12, 16.63, 16.77, 17.06, 23.0, 24.46, 26.5, 26.99, 27.6, 26.63, 26.84, 26.42, 28.22, 27.77, 27.46, 28.18, 29.43, 29.77, 30.5, 30.76, 31.05, 31.26, 30.71, 29.44, 29.96, 30.64, 29.66, 29.94, 30.25, 32.96, 31.75, 31.5, 33.62, 33.89, 34.87, 35.37, 36.45, 34.65, 34.86, 34.48, 35.08, 35.38, 36.29, 35.55, 35.37, 34.67, 34.95, 35.02, 36.01, 35.23, 35.82, 35.12, 33.38, 31.94, 31.89, 31.4, 30.94, 31.19, 31.21, 31.0, 32.15, 31.64, 32.12, 32.13, 31.36, 31.85, 31.65, 31.13, 31.2, 31.7, 32.83, 33.17, 34.7, 33.0, 34.55, 35.04, 34.34, 33.58, 33.6, 33.99, 34.8, 35.65, 35.8, 35.27, 35.11, 25.63, 23.53, 24.29, 24.05, 23.46, 22.35, 23.58, 25.99, 25.13, 23.82, 24.29, 23.31, 23.57, 24.14, 24.09, 23.32, 23.1, 22.49, 23.62, 24.7, 23.49, 22.92, 22.97, 22.84, 21.95, 22.47, 22.96, 22.58, 22.72, 22.9, 22.85, 22.42, 22.15, 22.31, 22.47, 22.43, 22.78, 23.46, 19.73, 19.08, 19.27, 18.91, 18.51, 19.05, 18.69, 18.66, 18.77, 18.99, 18.66, 18.25, 18.07, 18.48, 19.03, 19.72, 19.43, 19.9, 19.95, 19.35, 18.83, 18.68, 18.66, 18.13, 17.74, 18.57, 18.14, 18.31, 18.86, 18.55, 18.18, 18.23, 18.21, 18.23, 18.16, 18.11, 18.54, 17.43, 17.15, 17.62, 18.02, 17.85, 17.79, 17.9, 17.91, 17.92, 18.02, 18.05, 17.91, 18.28, 17.48, 17.44, 18.74, 18.62, 18.59, 19.56, 19.26, 19.07, 18.73, 19.42, 19.64, 19.6, 20.3, 21.04, 20.73, 20.75, 21.04, 24.37, 22.41, 21.21, 21.03, 20.55, 21.13, 21.0, 20.95, 21.0, 21.01, 21.85, 22.35, 22.37, 23.09, 23.15, 22.81, 23.45, 24.21, 23.89, 23.6, 24.42, 24.64, 23.85, 23.89, 24.08, 23.46, 23.74, 24.13, 23.3, 23.46, 23.48, 23.81]. ",external_data_mc/answer_info/answer_info_142.pkl,external_data_mc/executor_variables/executor_variables_142.pkl
143,MarketAB-beta,"I'm looking at the AIMAU stock and the market DJIA index. I want to know how the AIMAU stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of AIMAU for the past 118 days is: [11.18, 11.16, 11.17, 11.17, 11.17, 11.17, 11.17, 11.17, 11.1, 11.1, 11.06, 11.05, 11.05, 11.05, 11.05, 11.05, 11.05, 11.05, 11.05, 12.58, 11.25, 11.25, 11.3, 11.3, 11.3, 11.3, 11.3, 11.3, 11.3, 11.3, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.1, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.37, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.22, 11.32, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.39, 11.31]. ",external_data_mc/answer_info/answer_info_143.pkl,external_data_mc/executor_variables/executor_variables_143.pkl
144,MarketAB-beta,"I'm looking at the DSGX stock and the market DJIA index. I want to know how the DSGX stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",A,"The historical stock value data of DSGX for the past 225 days is: [71.83, 72.08, 71.85, 72.06, 72.65, 73.38, 72.74, 71.93, 71.75, 72.21, 74.06, 74.68, 73.86, 74.55, 74.14, 73.75, 73.93, 74.27, 73.6, 73.36, 72.49, 72.36, 72.54, 71.35, 70.62, 69.8, 71.59, 72.21, 72.01, 72.97, 72.99, 74.17, 74.96, 75.76, 75.82, 77.76, 77.02, 79.55, 79.99, 80.8, 81.06, 80.98, 81.26, 81.04, 81.53, 81.12, 81.11, 80.82, 81.04, 82.34, 81.49, 81.25, 81.78, 82.97, 82.96, 83.78, 84.76, 85.88, 83.76, 84.29, 84.69, 82.61, 82.63, 82.79, 83.09, 83.51, 82.87, 83.61, 84.06, 81.41, 80.7, 80.04, 79.5, 81.32, 80.61, 82.22, 83.91, 84.71, 84.07, 84.06, 85.16, 86.93, 88.47, 89.06, 89.22, 89.82, 89.87, 90.17, 89.11, 87.59, 88.8, 88.81, 87.87, 87.99, 87.86, 88.6, 89.43, 88.09, 86.25, 87.69, 87.5, 86.66, 86.43, 85.07, 86.17, 86.34, 86.47, 86.28, 85.79, 86.67, 88.69, 90.52, 84.9, 87.32, 91.59, 91.47, 92.13, 94.22, 92.98, 92.77, 92.3, 92.67, 92.45, 93.59, 93.48, 92.8, 92.26, 92.4, 92.08, 91.53, 93.02, 90.84, 89.84, 89.21, 89.71, 90.27, 90.39, 88.93, 90.05, 88.71, 87.35, 90.9, 90.54, 90.13, 90.32, 91.64, 94.1, 94.5, 94.5, 94.24, 93.77, 92.79, 94.85, 95.3, 95.48, 97.11, 97.26, 97.6, 97.78, 97.37, 97.41, 95.71, 97.58, 97.65, 97.99, 99.44, 98.57, 99.39, 99.01, 100.23, 99.14, 97.6, 91.0, 92.33, 91.03, 90.34, 92.72, 92.93, 91.19, 92.18, 92.24, 94.07, 94.93, 94.19, 94.83, 94.73, 93.4, 94.39, 94.56, 94.8, 95.33, 97.29, 96.84, 96.86, 99.69, 99.01, 98.9, 99.92, 100.27, 99.7, 100.14, 101.07, 103.05, 103.93, 100.19, 98.58, 99.41, 100.08, 100.92, 98.64, 99.52, 100.49, 100.81, 100.65, 101.65, 99.53, 95.72, 94.39, 93.79, 93.88, 95.16, 96.5, 96.02, 96.08, 97.45]. ",external_data_mc/answer_info/answer_info_144.pkl,external_data_mc/executor_variables/executor_variables_144.pkl
145,MarketAB-beta,"I'm looking at the PSA stock and the market DJIA index. I want to know how the PSA stock performs with respect to the market DJIA index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of PSA for the past 162 days is: [232.99, 228.52, 229.28, 229.08, 229.32, 229.21, 232.94, 238.38, 243.18, 238.25, 238.11, 240.71, 236.8, 235.04, 236.53, 249.65, 250.22, 249.18, 247.45, 247.81, 246.97, 244.58, 244.88, 246.41, 246.45, 247.64, 248.46, 255.41, 258.58, 258.13, 258.93, 262.22, 262.91, 265.81, 265.01, 274.28, 282.58, 281.57, 280.54, 286.23, 284.41, 288.44, 289.21, 293.04, 296.34, 298.79, 296.07, 302.7, 294.14, 291.39, 289.87, 291.33, 288.21, 286.58, 281.85, 286.39, 286.22, 285.88, 282.45, 283.37, 285.05, 283.31, 280.26, 283.14, 281.39, 281.33, 276.42, 274.9, 278.07, 272.35, 266.13, 270.49, 272.98, 276.56, 275.75, 273.1, 268.54, 272.27, 277.88, 273.28, 275.8, 280.17, 277.04, 276.44, 270.46, 271.4, 272.08, 275.56, 274.95, 276.73, 271.33, 275.42, 277.71, 284.55, 283.14, 284.99, 283.31, 275.26, 271.72, 272.25, 271.99, 276.62, 276.45, 274.01, 270.49, 270.01, 282.57, 284.49, 281.0, 277.94, 274.94, 275.26, 277.15, 282.1, 287.71, 270.56, 269.9, 266.92, 260.66, 257.19, 256.79, 255.29, 255.38, 256.42, 257.19, 257.14, 253.72, 252.79, 257.89, 254.47, 255.16, 258.87, 260.66, 264.03, 267.96, 263.86, 270.11, 270.65, 271.6, 274.46, 281.15, 281.51, 283.13, 280.41, 277.6, 277.58, 269.1, 267.16, 265.3, 258.74, 263.09, 268.58, 269.13, 273.62, 271.82, 270.84, 268.57, 268.76, 269.37, 273.44, 280.24, 280.88]. ",external_data_mc/answer_info/answer_info_145.pkl,external_data_mc/executor_variables/executor_variables_145.pkl
146,MarketAB-beta,"I'm looking at the FFND stock and the market W5000 index. I want to know how the FFND stock performs with respect to the market W5000 index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of FFND for the past 77 days is: [22.44, 22.36, 22.06, 22.2, 22.45, 22.28, 22.11, 22.37, 22.35, 22.17, 22.06, 22.24, 22.4, 22.67, 22.94, 22.88, 22.92, 22.91, 22.89, 22.89, 22.93, 22.68, 22.7, 22.35, 22.61, 22.61, 22.68, 22.54, 22.67, 22.19, 21.73, 21.78, 21.61, 21.51, 21.12, 21.31, 21.69, 21.65, 21.67, 22.17, 22.23, 21.84, 21.88, 22.03, 22.3, 22.7, 22.62, 22.51, 22.52, 22.43, 22.49, 22.8, 23.06, 22.98, 23.04, 23.22, 23.23, 23.11, 22.91, 23.2, 23.23, 23.05, 22.78, 22.89, 22.9, 22.78, 23.23, 23.42, 23.3, 23.33, 23.28, 23.52, 23.43, 23.24, 23.38, 23.52, 23.32]. ",external_data_mc/answer_info/answer_info_146.pkl,external_data_mc/executor_variables/executor_variables_146.pkl
147,MarketAB-beta,"I'm looking at the BB stock and the market COMP index. I want to know how the BB stock performs with respect to the market COMP index in terms of volatility. The options are: [Option A: More volatile than the market;Option B: Less volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: More volatile than the market', 'Option B: Less volatile than the market']",B,"The historical stock value data of BB for the past 127 days is: [2.73, 2.76, 3.06, 3.08, 3.12, 3.07, 2.85, 2.65, 2.47, 2.62, 2.78, 2.67, 2.64, 2.66, 2.75, 2.76, 2.7, 2.8, 2.81, 2.88, 2.82, 2.88, 3.1, 3.1, 3.19, 3.05, 2.76, 2.73, 2.76, 2.79, 2.75, 2.8, 2.89, 2.87, 2.78, 2.83, 2.86, 2.79, 2.84, 2.92, 2.93, 3.01, 2.89, 2.86, 2.99, 2.9, 3.1, 3.47, 3.23, 3.03, 2.94, 3.01, 2.96, 2.98, 2.84, 2.88, 2.85, 2.75, 2.79, 2.79, 2.79, 2.71, 2.79, 2.81, 2.68, 2.73, 2.76, 2.77, 2.52, 2.34, 2.3, 2.29, 2.32, 2.3, 2.26, 2.24, 2.21, 2.45, 2.48, 2.42, 2.45, 2.49, 2.5, 2.43, 2.42, 2.42, 2.48, 2.5, 2.51, 2.56, 2.49, 2.41, 2.42, 2.42, 2.47, 2.4, 2.41, 2.48, 2.41, 2.4, 2.42, 2.3, 2.22, 2.16, 2.16, 2.11, 2.18, 2.17, 2.16, 2.27, 2.23, 2.33, 2.35, 2.39, 2.38, 2.43, 2.37, 2.42, 2.36, 2.32, 2.32, 2.35, 2.35, 2.26, 2.28, 2.3, 2.25]. ",external_data_mc/answer_info/answer_info_147.pkl,external_data_mc/executor_variables/executor_variables_147.pkl
148,MarketAB-beta,"I'm looking at the MODV stock and the market COMP index. I want to know how the MODV stock performs with respect to the market COMP index in terms of volatility. The options are: [Option A: Less volatile than the market;Option B: More volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: Less volatile than the market', 'Option B: More volatile than the market']",B,"The historical stock value data of MODV for the past 238 days is: [35.07, 34.78, 31.17, 30.35, 31.51, 30.21, 27.13, 26.38, 28.64, 29.63, 33.09, 34.59, 34.19, 33.36, 35.9, 36.62, 38.85, 40.16, 41.3, 41.85, 40.88, 43.29, 39.88, 39.23, 40.13, 41.78, 42.24, 41.62, 42.91, 47.64, 46.95, 46.07, 45.5, 41.46, 41.96, 41.12, 42.54, 41.62, 41.0, 40.5, 41.04, 38.08, 38.59, 39.17, 38.71, 39.0, 37.13, 37.76, 40.12, 39.49, 37.97, 38.19, 38.37, 39.14, 39.16, 39.85, 40.89, 39.98, 38.91, 39.45, 40.55, 39.91, 42.32, 43.89, 44.6, 45.28, 44.78, 43.99, 44.41, 40.59, 39.98, 41.69, 43.09, 39.2, 40.51, 40.81, 39.01, 39.44, 38.99, 38.94, 39.67, 41.51, 41.29, 42.56, 42.87, 43.04, 42.69, 39.75, 39.77, 38.85, 39.13, 38.62, 41.64, 40.5, 43.05, 45.54, 48.15, 46.18, 48.9, 50.95, 49.79, 46.65, 45.14, 43.87, 26.62, 25.48, 28.07, 28.61, 28.04, 28.31, 31.65, 31.18, 31.1, 32.15, 33.14, 31.73, 30.32, 29.33, 29.34, 29.22, 29.42, 29.06, 28.65, 26.18, 24.86, 23.57, 23.96, 24.91, 23.45, 22.53, 21.53, 23.56, 23.42, 23.5, 23.5, 23.98, 23.17, 22.53, 22.48, 22.48, 21.84, 20.76, 20.13, 21.26, 22.0, 22.52, 24.84, 23.93, 23.56, 23.84, 23.47, 22.31, 21.98, 27.0, 26.79, 26.33, 26.28, 26.87, 26.25, 26.62, 27.01, 26.87, 27.85, 27.51, 27.61, 27.83, 27.58, 27.97, 27.58, 27.65, 28.31, 28.36, 27.32, 27.06, 26.83, 26.52, 26.75, 27.07, 27.14, 27.3, 27.18, 26.32, 26.4, 28.36, 26.78, 26.04, 25.87, 25.84, 25.45, 25.03, 25.24, 26.24, 27.06, 27.39, 27.2, 25.45, 25.07, 23.37, 24.23, 25.38, 25.41, 24.72, 26.0, 25.46, 23.82, 23.59, 23.75, 23.69, 23.32, 23.0, 23.89, 22.94, 22.97, 22.82, 22.02, 21.2, 20.53, 19.96, 19.49, 23.11, 23.58, 23.7, 25.16, 24.21, 25.33, 26.04, 26.19, 25.7, 26.03, 25.64, 26.69, 26.9, 27.91, 27.02, 27.23, 28.86, 29.91, 31.47]. ",external_data_mc/answer_info/answer_info_148.pkl,external_data_mc/executor_variables/executor_variables_148.pkl
149,MarketAB-beta,"I'm looking at the KAI stock and the market RUT index. I want to know how the KAI stock performs with respect to the market RUT index in terms of volatility. The options are: [Option A: More volatile than the market;Option B: Less volatile than the market]. Please choose the option that you think is the best. Which option is more likely? Only respond with the letter of the option.

Requirements:
- Store your output in the variable called `predictions` and it should be a string of a single letter indicating the option.
- Do not customly define/generate/overwrite the available variables, assume that the variables are already defined and available.
- Think step by step.
- Data note: VAL values are usually stored in either a dataframe or numpy values.
You should enclose your python code in <execute> </execute> tag and do not overwrite available variables that store the data. Do not use any other tags like ```python```.","['Option A: More volatile than the market', 'Option B: Less volatile than the market']",A,"The historical stock value data of KAI for the past 84 days is: [290.8, 294.5, 291.51, 294.28, 293.88, 299.43, 308.12, 309.55, 303.49, 314.35, 339.91, 338.37, 316.48, 314.34, 322.58, 320.85, 322.43, 328.67, 331.75, 336.6, 326.32, 325.61, 319.16, 323.21, 331.12, 326.32, 322.08, 323.86, 326.01, 316.17, 317.15, 315.55, 314.98, 320.39, 325.45, 325.71, 316.59, 321.19, 332.58, 327.41, 326.63, 314.05, 308.62, 302.72, 299.07, 305.22, 304.9, 296.69, 297.18, 293.46, 290.62, 290.73, 284.8, 283.6, 281.7, 282.46, 289.2, 285.59, 279.29, 282.08, 286.86, 273.5, 261.25, 266.58, 272.18, 280.97, 281.15, 283.43, 286.95, 287.25, 282.24, 282.17, 280.54, 278.84, 278.73, 286.26, 284.7, 276.26, 269.0, 272.93, 269.73, 269.71, 274.92, 285.71]. ",external_data_mc/answer_info/answer_info_149.pkl,external_data_mc/executor_variables/executor_variables_149.pkl