Turbulence-Filtered Fractal Breakout

Family: breakout · Regime: trending · Complexity: medium · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4

Thesis

This strategy hypothesizes that market 'turbulence' (the frequency of SMA crossings) acts as a leading indicator of trend quality. By filtering for low-turbulence periods and requiring both a momentum shift (CCI) and a structural breakout (Mn Fractal/Boxline), the system attempts to capture the initial phase of a trend while using real-time spread data to avoid high-cost, low-probability entries common during news events.

Components

Known failure conditions

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