Update requirements.txt to streamline dependencies and enhance project capabilities by adding essential libraries for trading, machine learning, and data analysis, including torch, transformers, lumibot, and finbert. This update supports advanced features such as sentiment analysis and trading strategies.

Update requirements.txt to add numerous dependencies for enhanced functionality and performance, including libraries for data analysis, machine learning, web development, and trading. This update significantly expands the project's capabilities, supporting features like sentiment analysis, stock prediction, and interactive visualizations.

Refactor app.py to simplify stock price prediction logic and remove unused imports. Update requirements.txt to maintain statsmodels dependency. Streamline the return value of predict_stock_price to only include forecast values.

Update requirements.txt to include Plotly and datetime libraries for enhanced data visualization and date handling capabilities.

Add stock analysis tools to app.py: implement sentiment analysis, stock price prediction, and stock comparison features; update requirements.txt to include statsmodels

added relevent documents