| Family | Examples | AI Optimization Angle | |--------|----------|------------------------| | | Moving Average Crossovers, Parabolic SAR, Donchian Channels | LSTM prediction of trend durability | | Mean Reversion | Bollinger Band squeezes, RSI extremes, Z-score models | Clustering to identify regime changes | | Momentum | MACD divergences, ROC breakouts, Volume-weighted momentum | Reinforcement learning for entry timing | | Pattern Recognition | Head & Shoulders, Flags, Gartley harmonics | CNN-based pattern detection from raw OHLCV | | Statistical Arbitrage | Pairs trading, Cointegration, Calendar spreads | Bayesian online learning for spread decay |
In the modern financial markets, discretionary trading alone is no longer enough. With over 10,000 tradable assets and millisecond execution speeds, retail and institutional traders alike are turning to systematic approaches. The framework of has emerged as a benchmark—not as a rigid list, but as a toolkit combining classic technical patterns with machine learning optimization. 51 Trading Strategies - Optimise Your Trades wi...
| Metric | Target Range | |--------|---------------| | Win rate | 45–60% | | Profit factor | 1.3 – 2.0 | | Max drawdown | 15–25% (annual) | | Sharpe ratio | 0.8 – 1.5 | | Family | Examples | AI Optimization Angle
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