Lorentzian-Chan Structural Pivot System

Family: hybrid · Regime: mixed · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: H1, H4

Thesis

Market turns occur at specific structural 'hubs' (Chan Lun) when the current non-linear momentum signature (Lorentzian) aligns with historical high-probability pivots, provided the move is verified by volume-price efficiency (EOM). By using KNN to classify local states, we can filter structural signals that occur in noisy regimes.

Components

Known failure conditions

Explore the full interactive blueprint with parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine (free download).


Open the interactive page on WOBR AI → · WOBR.AI home