Fractal Volume-Map Trend Tracker

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Commodities · Timeframes: H1 Core, D1 Filter

Thesis

This strategy operates on the hypothesis that sustainable market trends are characterized by 'structural momentum'—a combination of price action and data complexity (measured via Map object size history). By waiting for a ZigZag pivot to confirm the broad regime and then timing entries with volume-weighted momentum (KVO), we filter out low-conviction price moves. Murrey Math provides non-linear support/resistance levels that adapt to fractal volatility, offering a more robust stop-loss mechanism than static ATR or percentage stops in trending environments.

Components

Known failure conditions

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