Fisher-Williams Grid Trend Rider

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

Thesis

The strategy assumes that market trends persist when backed by expanding volatility (ATR HA) and cyclical momentum (Fisher). It hypothesizes that Williams %R overbought/oversold levels within a trend indicate temporary exhaustion points that offer high-probability re-entry. By using a fixed point-based grid for risk, it eliminates the bias of 'volatility-tailoring' stops, betting that market structure moves in discrete units rather than fluid paths.

Components

• TopTrend (BBands Stop) (regime) — Establishes the macro-trend bias and provides a structural stop-loss level based on volatility-adjusted Bollinger Bands.
• Fisher-based Scalping Indicator (direction) — Filters for cyclical momentum alignment within the broader trend, ensuring the trade is taken during a favorable momentum swing.
• Williams %R (entry) — Acts as the execution trigger, capturing the moment price recovers from an oversold (long) or overbought (short) state.
• QQE (Qualitative Quantitative Estimation) (exit) — Provides a dynamic exit signal by identifying momentum exhaustion through its smoothed RSI and trailing volatility bands.
• Point-Based Price Grid (risk) — Provides a non-dynamic, structural anchor for risk management, forcing stop losses and targets to align with fixed market point-movements.
• ATR Heiken Ashi (volatility_filter) — Filters out low-volatility regimes where Williams %R and Fisher signals are prone to high-frequency whipsaws.

Known failure conditions

• Price enters a narrow range where ATR Heiken Ashi remains below the threshold for extended periods.
• The Fisher Scalper intensity leads to persistent lag in fast-reversing markets.
• High correlation between TopTrend and QQE leading to redundant exit signals.

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).