Technical Confluence & Gaussian Momentum Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: 1H, 4H, 1D

Thesis

Market participants exhibit 'herding' behavior when multiple technical and volume signals align. By using a 10-layer confluence engine (IAE) to define the regime and a low-lag Gaussian average (ALMA) to define the trend, we identify high-probability momentum windows (MACD). The edge exists because the entry requires structural, volume, and momentum confirmation, while the adaptive Laguerre RSI exits before traditional oscillators, capturing profit during peak momentum rather than waiting for price reversal.

Components

Known failure conditions

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