TradingBot
Finance & TradingPrivateAlgorithmic trading system with ML-driven signal generation and automated execution
PythonMachine LearningREST APIsPandasNumPy
Private Repository
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Architecture
Data ingestion layerML signal engineRisk managementExecution engineAnalytics dashboard
Highlights
- ML signal generation with backtesting framework
- Real-time market data ingestion pipeline
- Automated risk management and position sizing
Source code available upon request for interviews
Availability
Source code is available upon request for interviews and technical discussions.
About This Project
End-to-end algorithmic trading pipeline that ingests real-time market data from multiple brokerage APIs, generates buy/sell signals through ensemble machine learning models, and executes trades automatically with configurable risk parameters. The backtesting framework processes years of historical data to validate strategies before live deployment. Includes a performance analytics dashboard showing P&L curves, Sharpe ratios, and drawdown analysis. Implements position sizing algorithms and stop-loss guardrails for risk management.
Key Features
ML signal generation with backtesting framework
Real-time market data ingestion pipeline
Automated risk management and position sizing
Architecture
Data ingestion layer→ML signal engine→Risk management→Execution engine→Analytics dashboard