Gaussian Volume-Bias Momentum Stack
Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX, Equities, Commodities · Timeframes: H1, H4
Thesis
This strategy hypothesizes that significant trend moves are preceded by positive volume momentum (VO) and a lack of negative price-prediction bias (ME), which can be captured by an ALMA Gaussian trend line if the entry occurs within a standard volatility channel (TMA). The edge relies on the behavioral tendency of volume to confirm the conviction of a price move before trend exhaustion (detected by ADX) occurs.
Components
- Volume Oscillator (VO) (regime) — Acts as a liquidity gatekeeper; ensures entries only occur during periods of expanding volume momentum.
- ALMA with Floating Levels (direction) — Provides a low-lag, Gaussian-smoothed trend direction and uses floating levels to identify if price is in a sustainable trend zone.
- OTLIB Stochastic Oscillator (entry) — Identifies cyclical turning points using LWMA smoothing to reduce noise in the overbought/oversold signals.
- ADX / Connectable [Azullian] (exit) — Uses the Directional Index and ADX threshold to detect trend exhaustion and trigger exits before reversals.
- ATR Stop Loss Finder (risk) — Sets dynamic, volatility-adjusted stop-loss levels based on recent price range.
- Mean Error (ME) (confirmation) — Filters for directional bias; ensures that the average prediction error is positive for longs and negative for shorts.
- TMA CG 2024 (Centered Moving Average) (volatility_filter) — Provides a volatility envelope; entries are only permitted if price is not at an extreme band (avoiding mean reversion exhaustion).
Known failure conditions
- The Volume Oscillator stays flat near zero during high-volatility price moves, indicating a disconnect between price and volume.
- Price consistently hits ATR stops during low-ADX regimes, indicating a failed trend-following premise.
- The Mean Error (ME) flips signs frequently without price movement, indicating a lack of directional bias.
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