ZombitX64/telegram-financial-signalsv2

Financial Trading Signals Sentiment Dataset

Overview

This dataset contains 4,664 trading signals extracted from Telegram group chats, focused on financial instruments such as Forex pairs, commodities (Gold, Silver), stocks, and indices. Each signal is labeled with a sentiment value for use in financial sentiment analysis and machine learning applications.

Data Description

Each record represents a trading signal and includes fields for symbol, sentiment (both text and integer), action, entry price, target, stop loss, time frame, original text, photo filename, and timestamp. Sentiment is mapped as follows:

• 0: Neutral
• 1: Bullish
• 2: Bearish

Dataset Structure

• symbol: Trading pair/instrument (e.g., "EURUSD", "GOLD", "GBPUSD")
• sentiment: Market sentiment ("Bullish", "Bearish", "Neutral")
• sentiment_int: Sentiment as integer (0=neutral, 1=bullish, 2=bearish)
• action: Trading action ("BUY", "SELL")
• entry_price: Entry price level
• target: Target price level
• stop_loss: Stop loss price level
• time_frame: Trading timeframe (e.g., "1H", "4H", "12H")
• text: Original signal text from Telegram
• photo: Associated chart image filename
• timestamp: Signal timestamp

Dataset Size

• Total Signals: 4,664
• Bullish Sentiments: 2,026
• Bearish Sentiments: 2,298
• Neutral Sentiments: (calculated from sentiment_int == 0)

Usage

This dataset is ideal for training and evaluating machine learning models for financial sentiment analysis, market trend prediction, and NLP tasks related to trading signals. It can be used for academic research, financial analytics, and developing AI tools for financial institutions.

License

This dataset is made available under the MIT license.

Citation

If you use this dataset in your research, please cite:

@dataset{telegram_financial_signals_2025,
  title={Financial Trading Signals Sentiment Dataset},
  author={JonusNattapong},
  year={2025},
  url={https://github.com/JonusNattapong/Telegram-Group-Financial}
}