Lorentzian ICT Sweep Hybrid

Family: hybrid · Regime: high_vol · Complexity: high · Asset classes: FX, Indices, Crypto · Timeframes: M5, M15

Thesis

The strategy operates on the hypothesis that price action during the New York session open is driven by 'liquidity hunting' where price briefly breaches structural levels to trigger stops before reversing. By filtering these 'sweeps' with a Lorentzian ML classifier (to ensure historical context similarity) and ALMA-smoothed momentum (Trendilo/MACD), we can differentiate between true breakouts and manipulative sweeps. The exit relies on Ehlers' Center of Gravity to identify the mathematical exhaustion of the ensuing correction.

Components

Known failure conditions

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