Python Trading Strategies

Full implementations with code, backtest results, and paper trading setup. Each strategy runs inside TradeSight's nightly tournament engine.

📊 Bollinger Bands

Squeeze detection, band-width breakouts, and volume confirmation. Great for range-bound markets.

volatility breakout pandas

📉 Mean Reversion

Z-score normalization, regime filters, and statistical edge. Works best in low-volatility uptrends.

z-score stat-arb regime

📈 MACD Momentum

Signal crossover logic, histogram divergence, and live paper trading results. Trending market staple.

momentum MACD trend

🔍 RSI Stock Scanner

Oversold/overbought scanning across a watchlist. Multi-ticker RSI with alert thresholds.

RSI scanner yfinance

🤖 Paper Trading Bot

End-to-end Alpaca paper trading bot setup. Connect any strategy to live fake-money execution.

Alpaca live automation

Run Every Strategy Automatically

TradeSight runs all of these in a nightly tournament. Strategies compete, evolve parameters, and the winners paper-trade live. You just review the results.

Get TradeSight — $49

One-time · MIT license · Self-hosted