Lorentzian Cycle-Grid Displacement Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Forex, Crypto, Indices · Timeframes: 15m, 1h, 4h

Thesis

Institutional displacement (manifesting as Order Blocks or FVGs) carries higher predictive value when occurring at psychological round numbers (Grid Levels) during a favorable market cycle (TBF). By validating these structural breaks with machine-learned historical patterns (Lorentzian) and synthetic volume flow (Footmap), we can isolate 'Smart Money' entries from retail noise. The edge exists because the strategy requires the convergence of three independent market dimensions: Time (Cycles), Price (Structure), and Sentiment (ML/Volume).

Components

Known failure conditions

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