Fourier-Fisher Harmonic Grid Trader

Family: hybrid · Regime: mixed · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4

Thesis

Market reversals are best captured when cyclical exhaustion (FSI) is confirmed by volume-weighted money flow divergence (A/D) and psychological price levels (Grid Points), which act as liquidity magnets for stop-loss placement.

Components

• Accumulation/Distribution (regime) — Identifies high-probability regimes where price action is unsupported by volume flow, suggesting an imminent cyclical reversal.
• Profile Dynamic Series Max Bars Back Test (direction) — Acts as a primitive momentum filter to ensure entry is aligned with the immediate 3-period price direction, compensating for FSI lag.
• Ehlers Fourier Series Indicator (FSI) (entry) — Captures the dominant harmonic cycles of the market, providing the primary timing trigger for entries.
• McGinley Dynamic (exit) — Provides an adaptive trailing exit that tracks market speed more effectively than a standard EMA, reducing premature stop-outs during volatility.
• Grid Points Utility (risk) — Uses psychological 'round number' levels (30-point intervals) to define structural stop-loss placements and calculate risk-adjusted position sizing.
• Fisher-based Scalping Indicator (confirmation) — Filters FSI signals by ensuring momentum is reaching a cyclical extreme or turning point, reducing whipsaws in choppy markets.

Known failure conditions

• The fundamental cycle period of the FSI drifts significantly from the market's realized periodicity.
• Prolonged trend regimes where price stays far above/below the McGinley Dynamic without touching it, leading to excessive unrealized profit decay.
• Market volatility drops so low that price oscillates within a single 30-point Grid Point interval, preventing execution.

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.