AI Trading Bot for Stock Market Forecasting

Predictive modeling and auto-trading platform using machine learning

This project involves the development of an AI-powered trading bot designed to democratize advanced trading tools for investors. It integrates real-time market data, machine learning models, and user-friendly interfaces to improve decision-making in stock trading.

The following showcases the main highlights of the project:

Key visuals: AI-driven trading dashboard, data visualization tools, and prediction outputs.

Project Highlights

  1. Predictive Modeling:
    • Utilized machine learning techniques such as Facebook Prophet, LSTM, and Random Forest for stock price prediction.
    • Achieved 68% accuracy for next-day price fluctuations and 62% for 7-day trends.
  2. Automated Trading:
    • Implemented trading signals based on AI predictions.
    • Integrated Alpaca API for real-time order execution.
  3. Risk Management:
    • Developed advanced risk assessment features using statistical models.
  4. Educational Integration:
    • Included resources for financial literacy and trading insights to aid beginner and advanced users.
  5. Technical Stack:
    • Frontend: React.js and Chart.js for a dynamic and interactive user experience.
    • Backend: Node.js with Express and MongoDB for seamless API and data management.
    • Machine Learning: Models deployed using Python and Azure AutoML.

Repository and Demo

Key Metrics

  • Prediction Accuracy: 68% for next-day price, 62% for 7-day trends.
  • Annualized Return: 12.5%, outperforming traditional strategies by 3.8%.
Quantitative evaluation of prediction accuracy and performance metrics.

This project emphasizes the potential of AI in transforming trading practices, offering both automated solutions and educational tools for investors of all levels.

References