Spearman-Fisher Volume Pivot Hybrid

Family: hybrid · Regime: mixed · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: 15m, 1h, 4h

Thesis

Market cycles (RCI/Fisher) are most likely to reverse or accelerate when price interacts with high-volume nodes (POC) and undergoes a volatility-backed breakout (WatchTower). By entering only when price structure (Pivot Filter) confirms a volume-backed move away from cyclical extremes, the strategy captures 'efficiency' transitions in price.

Components

• Rank Correlation Index (regime) — Used to identify extreme cyclical exhaustion (overbought/oversold) via Spearman's rank correlation.
• Fisher-based Scalping Indicator (direction) — Provides the short-term directional bias by transforming price position into a Gaussian distribution.
• Volume Profile + Pivot Levels [ChartPrime] (entry) — Ensures entries occur at high-conviction volume nodes or pivot thresholds to avoid 'thin' price zones.
• Qualitative Quantitative Estimation (QQE) (exit) — The trailing volatility band (Fast Trailing Level) acts as a dynamic exit that accounts for RSI-based momentum shifts.
• Williams Fractals (risk) — Provides objective structural support/resistance for stop placement, acknowledging the 2-bar confirmation lag.
• KandleKings™ WatchTower v1.0 (volatility_filter) — Acts as a gatekeeper to ensure price/volume expansion (VWAP breakout) is present before entry.

Known failure conditions

• The asset enters a multi-week 'pinned' trend where RCI remains at +/- 100 while price continues moving against the mean-reversion bias.
• Low volume environments where the Pivot Filter % threshold is never met, leading to zero trade activity.

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).