Stock Trading Machine Learning Algorithm

Partner in developing an advanced, end-to-end stock trading system that combines data preprocessing, feature engineering, and machine learning model training for intelligent trading decisions.

System Overview

Developed to process historical stock and sentiment data, trains predictive models for stock price forecasting and risk estimation, and integrates with trading APIs to execute trades with comprehensive risk management strategies.

Key Components

• Data Processing: Historical stock data analysis and sentiment data integration
• Feature Engineering: Advanced feature extraction for improved model performance
• Machine Learning Models: Predictive models for stock price forecasting and risk estimation
• Trading Integration: API integration for automated trade execution
• Risk Management: Comprehensive risk assessment and portfolio optimization strategies

Technologies Used

• Python
• TensorFlow
• Machine Learning Libraries
• Trading APIs
• Data Analysis Tools