Structural OI-Autocorrelation Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Crypto (Perpetuals), Equities (with OI data) · Timeframes: 1H, 4H

Thesis

Institutional market participants leave identifiable footprints through Order Blocks and impulsive Fair Value Gaps. However, these zones are only valid if they attract 'Aggressive' new positions, which can be measured via spikes in Aggregated Open Interest. By using Autocorrelation (ACF) to ensure the market is in a non-random trending state and CCI for momentum timing, we can enter high-probability continuations while managing risk through structural Fractals.

Components

Known failure conditions

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


Open the interactive page on WOBR AI → · WOBR.AI home