Autocorrelated Structural Flip Strategy

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

Thesis

Market trends are most reliable when structural levels (Flip Flop) are broken during periods where the price series exhibits high positive autocorrelation (ACF). By entering only when normalized momentum (Fisher) and trend strength (ADX) align with this structure, we capture high-probability trend extensions while using ATR-based session levels to anchor risk against volatility spikes.

Components

• SuperTrend MT5 (FxGeek) (regime) — Defines the primary trend regime and provides a trailing dynamic support/resistance anchor.
• Flip Flop Indicator (direction) — Identifies structural momentum shifts by breaching the 'defended' levels of recent dominant bars.
• Fisher Transform (EarnForex) (entry) — Acts as the precise entry trigger by normalizing price into a Gaussian-like distribution to signal cycle turns.
• Equity Line Projection (exit) — Monitors real-time symbol P&L to trigger exits based on projected equity targets.
• ATR Fib (risk) — Provides fixed volatility-based anchors for stop-loss and position sizing calculations relative to session open.
• Autocorrelation Function (ACF) (confirmation) — Confirms that the current price movement is self-similar (positive autocorrelation) and not random noise.
• Average Directional Index (volatility_filter) — Filters out low-volatility/ranging periods where SuperTrend and Fisher are prone to whipsaws.

Known failure conditions

• Price action becomes Gaussian (ACF stays near zero), indicating no serial correlation.
• ADX drops below 20 consistently while SuperTrend provides conflicting signals.
• Realized volatility exceeds the static ATR input in the ATR Fib indicator by >200%.

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.