Adaptive Motive Structure Trader

Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: M15, H1

Thesis

The hypothesis is that markets move in fractal motive waves, and the highest probability entries occur when a 'Change of Character' (CHoCH) confirms the end of a corrective wave (2 or 4) while aligning with adaptive momentum (KAMA). By requiring higher-timeframe alignment via the Dashboard and using volatility-adjusted trailing stops (SuperTrend), we capture the most efficient portion of Wave 3 and 5 impulses while filtering out low-efficiency ranging periods.

Components

Known failure conditions

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