15 trading strategies (trend, breakout, ML/RL, sentiment, sector rotation) with 7-layer risk management, backtesting engine v2, and production safety controls.
Professional-grade algorithmic trading infrastructure
Comprehensive strategy library covering trend following, mean reversion, breakout, and hybrid approaches.
Advanced technical analysis with moving averages, Bollinger Bands, RSI, and pattern recognition.
Machine learning models and RL agents that adapt to changing market conditions in real-time.
NLP-powered sentiment analysis from news feeds, social media, and earnings calls.
Automated sector rotation strategies based on economic cycles and relative strength analysis.
Multi-layered risk controls: position sizing, stop-loss, portfolio limits, drawdown protection, and more.
High-performance backtesting with realistic slippage, commissions, and market impact modeling.
Circuit breakers, kill switches, and anomaly detection for safe live trading deployment.
Live market data feeds with websocket connections for tick-by-tick price updates.
Modern portfolio theory implementation with efficient frontier and risk-parity allocation.
Get up and running in seconds
pip install -r requirements.txt
python run_backtest.py --strategy momentum