MESA-ZLSMA Volatility-Adjusted Trend Hunter

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: XAUUSD, EURUSD, GBPUSD · Timeframes: H1, H4

Thesis

The hypothesis is that trend-following systems fail because they cannot distinguish between 'directional volatility' and 'noise volatility'. By using the XAU_TVF to measure trend velocity relative to ATR, we isolate regimes of high directional conviction. Within these regimes, price movements follow cyclical patterns that can be isolated using Ehlers' Roofing Filter (MSTOCH). Entering on these detrended pullbacks and exiting via a zero-lag linear regression model (ZLSMA) provides a statistically superior entry-to-exit ratio compared to standard MA crossovers.

Components

Known failure conditions

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