Statistical Drift & Volume Efficiency Breakout
Family: trend_following · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Indices · Timeframes: H1, H4
Thesis
Market trends are sustainable only when price movement exhibits statistical drift (ADM) and is accompanied by low resistance (high EOM). By entering only when price clears cumulative volume exhaustion levels (Float Trader) following a structural range breakout (Boxline), we isolate high-conviction institutional moves. The stochastic exit captures the exhaustion of the immediate momentum cycle, while Bollinger Bands protect against volatility-induced reversals.
Components
- Boxline (Dynamic Range Breakout) (regime) — Identifies local market structure; used to confirm a breakout from a consolidation 'box' into a new trending phase.
- Ease of Movement (EOM) (direction) — Validates that the price movement is occurring with low resistance (high volume/price efficiency), confirming the quality of the move.
- Float Trader Indicator (entry) — Triggers the entry when price clears cumulative volume exhaustion levels (Float lines), indicating previous supply/demand is absorbed.
- OTLIB Stochastic Oscillator (exit) — Provides a cycle-based exit signal to capture the peak of the momentum wave before mean reversion occurs.
- Bollinger Bands (risk) — Provides a volatility-based stop-loss and basis for position sizing, accounting for market 'noise' levels.
- Asset Drift Model (ADM) (volatility_filter) — Filters for periods of statistically significant price drift (non-stationarity) to ensure the strategy only operates in high-probability trending regimes.
Known failure conditions
- Asset Drift Model indicates mean-reverting (stationary) behavior for more than 5 consecutive periods while in a trade.
- Price returns and closes inside the previous Boxline range after a breakout signal.
- EOM flips sign (positive to negative for longs) indicating increased resistance to price movement.
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