Refactor requirements.txt to remove finbert dependency and maintain timedelta. This change streamlines the project's dependencies while ensuring necessary libraries for trading and data analysis remain intact.
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.
Refactor LLM integration in app.py: replace RunnableSequence with LLMChain and update method call from invoke() to run() for improved functionality and clarity