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Project Description
I propose the addition of a "Financial AI Assistant" feature to the project. This assistant would leverage machine learning and financial data to provide users with stock market analysis, predictions, and investment recommendations. The AI Assistant could automate the following tasks:
Stock Analysis: Perform real-time stock analysis using historical data, trend patterns, and financial indicators (e.g., SMA, EMA, MACD). Predictions: Provide stock price predictions using machine learning models like LSTM or ARIMA. Recommendations: Generate buy, sell, or hold recommendations based on the user's investment goals and financial data. News Sentiment Analysis: Analyze the sentiment of financial news or social media to help users understand market sentiment. Benefits:
Assist both beginner and experienced investors by providing data-driven insights. Automate financial decision-making processes. Enhance the user experience by integrating real-time analysis and AI-driven suggestions. Possible Implementation:
Utilize financial data APIs (e.g., Yahoo Finance, Alpha Vantage). Integrate popular machine learning libraries like TensorFlow, Scikit-learn, or PyTorch for predictive modeling. Build an interactive dashboard using Bokeh, Dash, or Streamlit to visualize stock trends and provide AI recommendations. Additional Information:
This feature could be developed in modular form, where different parts of the assistant (analysis, prediction, and recommendations) could be worked on independently.
I'd be happy to contribute to the implementation if this feature is accepted.
Full Name
Aman Verma
Participant Role
GSSOC