Gaussian-SSF Confluence Breakout

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Equities, Forex, Crypto · Timeframes: H1, H4, D1

Thesis

Trading edges are found when structural market confluence (IAE) aligns with low-lag momentum signals. While standard moving averages suffer from the 'lag vs. smoothness' tradeoff, ALMA and SSF utilize Gaussian and 2nd-order filtering to isolate the signal from noise. By entering only during volatility breakouts (UTBot) and exiting when the price's cyclic balance point shifts (CG), the strategy aims to capture the 'meat' of the trend while using robust error-based risk (MdAE) to avoid outlier-induced stop-outs.

Components

Known failure conditions

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