Cointegrated Fractal Structure Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Forex (Major Pairs), Equities (vs SPY) · Timeframes: H1, H4

Thesis

Institutional order flow (captured by Fractal MSS) is more reliable when the asset is in a cointegrated relationship with a proxy, as the statistical bond reduces the probability of idiosyncratic 'fake' breakouts and ensures the move is part of a broader market shift.

Components

• Multi-Type Moving Average Sticker (regime) — Uses the Smoothed (SMMA) method to filter noise and define the macro-regime; the 2-period shift accounts for lag compensation.
• ProfitRobots Dashboard Template (direction) — Aggregates the SMMA regime across multiple timeframes (H1, H4) to ensure directionality is synchronized.
• Open Source Fractal Model (entry) — Identifies institutional entry points via liquidity sweeps and Market Structure Shifts (MSS) within the established regime.
• HiLo Activator 02 (exit) — Provides a dynamic, trailing exit point based on the moving average of highs/lows, capturing the meat of a structural move.
• Grid Points Utility (risk) — Provides objective psychological 'Round Number' levels for stop-loss placement and risk-defined position sizing.
• Cointegration (COINTEGRATION) (confirmation) — Filters for pairs in a strong mean-reverting or co-moving relationship; entries are only valid when the relationship is statistically stable (ADF < -3.4).

Known failure conditions

• Cointegration ADF statistic stays above -1.0 for more than 50 bars, indicating a breakdown in the asset relationship.
• Price oscillates through the SMMA 17 more than 3 times in 10 bars, signifying a non-trending regime.

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.