Gaussian-Sigmoid Structural Momentum

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Forex, Equities, Indices · Timeframes: H1, H4

Thesis

The strategy assumes that institutional momentum is best captured when three conditions align: a Gaussian-smoothed trend regime (ALMA), a multi-timeframe hierarchical bias (SMA200/BB), and a 'non-linear' momentum acceleration (Sigmoid). By entering only on structural pivot breaches within this alignment, we filter out noise and 'tired' trends, using market geometry (Fractals) for objective risk definition. The edge lies in the Sigmoid's ability to identify the 'sweet spot' of a trend move where velocity is highest.

Components

Known failure conditions

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