Zero-Lag Vol-Pivot Momentum Hybrid

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Equities, Forex, Crypto · Timeframes: H1, H4, D1

Thesis

Price moves are most sustainable when 'zero-lag' trend confirmation (USF) aligns with high-conviction candle body sizes (Size HL) and momentum oscillators (HA-Stoch). By filtering entries through volume-validated pivot points, we enter during periods of institutional participation (high volume) while using ultra-responsive exits (ZLSMA) to mitigate the inherent risk of momentum exhaustion. The 'edge' lies in reducing the lag associated with traditional trend-following systems while adding a volatility/volume hurdle.

Components

• Ehlers Ultimate Smoother Filter (USF) (regime) — Serves as the primary trend filter; its zero-lag properties allow for quicker regime identification than a standard SMA/EMA without the typical IIR overshoot.
• Bears Power (direction) — Used to identify momentum shifts. When Bears Power is rising or positive, it indicates that the bears are unable to push price lows significantly below the EMA, suggesting a bullish shift.
• OTLIB Stochastic Oscillator (Heikin-Ashi based) (entry) — The core entry trigger. Utilizing HA-smoothed data reduces noise in the stochastic's oscillations, aiming for cleaner crossovers in the direction of the USF trend.
• Zero Lag Least Squares Moving Average (ZLSMA) (exit) — Acting as the dynamic trailing exit, the ZLSMA's responsiveness to price changes allows for profit capture before the USF regime necessarily flips.
• Volume and Pivot Points Correlation with Full Control (risk) — Provides structural support/resistance levels validated by volume anomalies. Pivot Highs/Lows serve as anchor points for hard stop-loss placement.
• Size Highs and Lows 2 (confirmation) — Confirms that the breakout/momentum has 'conviction' by ensuring the net delta of candle body sizes favors the direction of the trade.

Known failure conditions

• The OTLIB Stochastic repaints historical signals due to faulty loop logic, causing backtest results to diverge from live trading.
• Price enters a low-volatility 'sawtooth' pattern where USF and ZLSMA oscillate frequently, incurring high spread costs.
• Volume anomalies (Pivots) fail to form for extended periods, leaving the strategy without fresh structural support/resistance anchors.

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