Institutional Equilibrium Displacement (IED) Strategy

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

Thesis

Market participants leave 'displacement' footprints (FVGs/OBs) that signify institutional commitment. By entering only when these structural shifts align with both historical candle dominance (CCH) and volume expansion, and using Ichimoku for precision timing, we capture the meat of the trend before it hits major liquidity walls (Q-Levels).

Components

• Candle Count History (regime) — Establishes the long-term historical 'drift' or dominance of a ticker, used as a macro-regime filter to ensure trades align with the asset's historical propensity.
• Order Block / FVG Detector (direction) — Identifies institutional footprints (displacement) which provide the directional bias for the trade setup.
• Ichimoku Kinko Hyo (entry) — The 'trigger' mechanism; entries occur when price breaks equilibrium (Tenkan/Kijun cross) in alignment with the cloud (Kumo) support/resistance.
• Q-Levels V2.2 (exit) — Provides 'hard' targets based on external gamma/liquidity data that take precedence over mathematical projections.
• Frankenstein Ultimate Pro - ATM Logic (risk) — Calculates the final trade feasibility using LSMA for trend alignment and an ATR-based volatility threshold to set the 1.5 RR stop/target.
• Average Volume (AV) (volatility_filter) — Filters out low-liquidity moves; signals are only valid if volume is expanding above its 60-period average.

Known failure conditions

• The CCH (Candle Count History) maintains a Bullish bias during a sustained 24-month bear market due to legacy data lag.
• Price frequently hits Q-Levels and reverses before reaching the 1.5 RR target, suggesting the RR is too wide for current volatility.
• High correlation between LSMA (Risk component) and Ichimoku Cloud leads to redundant filters that prevent entry into valid trends.

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.