IAE Composite Institutional Pullback Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Crypto, Indices · Timeframes: 15M, 1H, 4H

Thesis

Institutional trends are sustainable only when price momentum (Force Index/CCI), volume flow (KVO), and multi-modal technical alignment (IAE) converge. By filtering for a 'high-confluence' regime and entering on CCI mean-reversion pullbacks toward the VWAP/EMA support, we capture the high-probability meat of a trend leg with minimized noise exposure.

Components

• IAE — Technical Confluence Score (regime) — Acts as the primary regime filter, ensuring the strategy only operates when at least 6/10 technical layers align in a specific direction (Score > 60 or < 40).
• Force Index (NNFX Variant) (direction) — Provides the intermediate directional bias by confirming that price movement is supported by tick/volume magnitude.
• Commodity Channel Index (CCI) (entry) — Identifies tactical entry points by spotting mean-reversion pullbacks (oversold in uptrends) within the broader regime.
• Chandelier Exit (Heiken Ashi) (exit) — Provides a volatility-sensitive trailing stop that accounts for Heiken Ashi smoothing to reduce noise-induced premature exits.
• VWAP + EMA Cross Pullback (risk) — Defines the institutional risk structure, using the VWAP/EMA relationship for structural invalidation and ATR for position sizing.
• Klinger Volume Oscillator (KVO) (confirmation) — Validates the entry by ensuring long-term volume flow (money flow) is moving in the direction of the trade, filtering out low-volume price spikes.

Known failure conditions

• IAE Confluence Score remains between 40-60 for extended periods (regime drift).
• Force Index and KVO consistently diverge (price movement without volume support).
• Heiken Ashi volatility exceeds the ATR-based stop-loss buffer during the initial entry phase.

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.