MTF Momentum Normalization Strategy

Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX (Majors), Indices (DAX, S&P500), Commodities (Gold) · Timeframes: H1

Thesis

Market participants exhibit herd behavior that manifests as 'momentum clusters' across multiple timeframes. By using a Fisher Transform to normalize the noise of price action and requiring volume-backed (PVT) multi-timeframe (MTF MA) alignment, we can identify high-probability trend entries while using the Ichimoku Kijun-sen as a proxy for the 'fair value' equilibrium for exits. The edge relies on the assumption that once volume and cross-timeframe momentum align, price will tend to trend until it returns to its medium-term equilibrium.

Components

Known failure conditions

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