Algorithmic Trading Bot
2025
Real-time dashboard used to monitor portfolio value, open positions, and model-driven trade signals. Balance values are hidden due to inactive market data at the time of capture.
Overview
Built a Python-based algorithmic trading bot that generates trading signals using regression and classification machine learning models. The system supports both historical backtesting and live market data ingestion, enabling strategy evaluation and real-time execution.
Key Features
- Machine learning–driven signal generation using regression and classification models.
- Backtested strategies against historical datasets, achieving a 12% portfolio return.
- Integrated live market data via Kraken and Coinbase APIs.
- Implemented risk management, crash detection, and trade performance logging.
- Built a real-time monitoring dashboard for strategy transparency.
Technologies Used
Python, Polars, Plotly, SQLite, PostgreSQL