---
library_name: transformers
tags:
- finance
- stock
license: cc-by-4.0
datasets:
- SelmaNajih001/EventStockPriceVariation
language:
- en
base_model:
- allenai/longformer-base-4096
pipeline_tag: text-classification
---

# Model Card for PricePredictionForMicrosoft

This model was created by fine-tuning a base transformer model on a dataset containing summaries of Microsoft stock news along with corresponding price variations. 
It is tailored specifically for predicting Microsoft stock price movements after news events, providing more precise predictions than a general market model. 

## Model Details

### Model Description

- **Developed by:** Salma Najih
- **Model type:** Text-Classification
- **Language(s) (NLP):** EN
- **License:** CC-BY-4.0
- **Finetuned from model:** allenai/longformer-base-4096

## Uses

The model can be used directly to estimate price movement signals from Microsoft news headlines or summaries. 

### Direct Use

Users can input news about Microsoft, and the model will return a predicted price movement. 
It provides more accurate predictions for Microsoft than the general news model.

### Downstream Use

The model can be integrated into trading analysis pipelines, financial dashboards, or event-driven investment strategies, specifically for Microsoft stock.

## How to Get Started with the Model

```python
from transformers import pipeline

pipe = pipeline("text-classification", model="SelmaNajih001/PricePredictionForMicrosoft")
pipe("Microsoft announces new Azure service launch")
```

Here an example of output
![image/png](https://cdn-uploads.huggingface.co/production/uploads/683ef46c2695302d716db7b9/RBl79MrV9Rc6r8CgCgNgO.png)