Stock Trader AI

Overview

Stock Trader AI is a work-in-progress project that leverages deep learning and artificial intelligence to automate trading decisions. This project aims to analyze historical and real-time market trends while enhancing the understanding of risk management in financial trading.

Features

• Real-Time Data Integration: Stream live market data from APIs such as Alpaca API and Yahoo Finance.
• Risk Management: Implement dynamic risk assessment to minimize portfolio losses in volatile market conditions.
• Scalability: Designed with a modular architecture to support multi-asset trading and future enhancements.

Technologies Used

Programming Languages: Python

Libraries and Frameworks:

• Data Processing: Pandas, NumPy
• Machine Learning: Scikit-learn, TensorFlow
• Visualization: Matplotlib, Seaborn
• APIs: Alpaca API, Yahoo Finance

Current Progress

• Developed a basic AI model that trades based on historic closing price data.

Planned Features

• Utilize more parameters such as:
  • open price
  • high and low prices
  • volume of the stock.
• Build advanced portfolio tracking and visualization tools for comprehensive performance analysis.
• Improve the AI model to utilize deep learning techniques for enhanced decision-making.