The Algorithm Cookbook - Coming Soon

🤖

Machine Learning

176 ML/AI strategies including LSTM, Random Forest, and XGBoost implementations

📈

Momentum Trading

71 momentum strategies with RSI, MACD, and volume-based signals

⚖️

Mean Reversion

Statistical arbitrage and mean reversion strategies with proven backtests

🛡️

Risk Management

44 position sizing and portfolio protection strategies

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Pairs Trading

Cointegration and correlation-based pairs strategies

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PRIME Integration

231 strategies ready for immediate deployment through PRIME

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📖 Preview: What's Inside

RSI Momentum Strategy

# Pseudocode Preview IF rsi < 30 AND volume_surge: SIGNAL = BUY ELIF rsi > 70 AND momentum_decline: SIGNAL = SELL # Full implementation in PRIME

Expected Sharpe: >1.5

ML Random Forest Predictor

# Feature Engineering features = [rsi, macd, volume_ratio] model = RandomForest(n=100) # Signal Generation prediction = model.predict(features) IF prediction > threshold: EXECUTE_TRADE()

Win Rate: 55-60%

Pairs Arbitrage System

# Spread Calculation spread = asset1 - beta * asset2 z_score = (spread - mean) / std # Trade Logic IF z_score > 2: SHORT spread ELIF z_score < -2: LONG spread

Market Neutral Strategy

📚 The Algorithm Cookbook