Volume-Weighted Mitigation Pivot Strategy

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

Thesis

Price trends are most sustainable when supported by high-volume nodes (regime) and institutional mitigation activity. By entering at candle-reversal pivots within these zones, and sizing trades based on the median forecast error (MdAE) rather than simple price range, the strategy captures trend extensions while filtering for 'noise-based' stop-outs.

Components

• Volume by Level Map (regime) — Identifies the Point of Control (POC) to ensure trades are taken in high-liquidity nodes where price stability is expected.
• ZigZag+ v5 (direction) — Provides the macro directional bias by identifying the most recent confirmed Higher High or Lower Low.
• Roshaneforde Pivot Levels (entry) — Uses price action engulfing patterns to pinpoint specific horizontal entry levels within the established trend.
• ATR Heiken Ashi (exit) — Provides a smoothed trailing stop-loss mechanism that filters out minor noise via Heiken Ashi averaging.
• Median Absolute Error (risk) — Calculates the current 'noise' or forecast error between open and close to dynamically scale position size.
• ICT Mitigation Block Scanner (volatility_filter) — Acts as a secondary volatility and structure filter to confirm that the entry occurs near a valid institutional mitigation zone.

Known failure conditions

• Market enters a low-volume 'vacuum' where Volume by Level bins are sparsely populated, leading to erratic level identification.
• Price remains in a tight range where ZigZag+ repeatedly repaints/flips direction without completing a leg.
• MdAE volatility spikes to a level where position sizing reaches the minimum lot size, rendering the strategy untradeable.

Explore the full interactive blueprint, parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine.