Turbulence-Filtered Drift Breakout

Family: breakout · Regime: trending · Complexity: high · Asset classes: Equities, FX, Commodities · Timeframes: H1, H4, D1

Thesis

Market participants often ignore local structural levels in high-volatility 'noisy' environments. By quantifying 'Market Weather' (turbulence) and only entering when price exhibits low-cross stability and high statistical drift (ADM), we can isolate breakouts with a higher probability of follow-through. The edge resides in the transition from low-turbulence consolidation to statistically significant drift.

Components

• Market Weather Price MA Cross (regime) — Acts as a turbulence filter; only enters trades when the cross count is low, indicating a stable trend environment rather than a high-noise regime.
• Accumulation Swing Index (ASI) (direction) — Provides the directional bias; long if ASI is rising (positive momentum), short if falling. It filters for 'real' price movement.
• Pivot Points Reversal Levels (entry) — Identifies structural support/resistance 'lines in the sand' to trigger entries upon price breakout.
• Pivot Point S&R with GMT Correction (exit) — Provides static, session-based targets for profit taking based on daily volatility bounds.
• Asset Drift Model (ADM) (risk) — Used to validate the underlying drift and scale position size based on the statistical significance (t-stat) of the trend.

Known failure conditions

• ASI cumulative value fails to trend, oscillating around zero in a persistent high-volatility bracket.
• Pivot Points Reversal Levels trigger frequent whipsaws because price is mean-reverting within the weather lookback window.
• ADM t-stat remains below 1.96 for extended periods, preventing any position scaling.

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