This project demonstrates how to use AI for financial sentiment analysis, financial modeling, and question answering using a RAG pipeline.
- Sentiment Analysis: Analyze the sentiment of financial news headlines using a pre-trained NLP model.
- Financial Modeling: Correlate sentiment with stock market data to build predictive models.
- RAG Pipeline: Use a Retrieval-Augmented Generation (RAG) pipeline to answer questions about financial news.
- Install the dependencies:
pip install -r requirements.txt
- Run the main script:
python main.py