Ichimoku Volatility Momentum Stack

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Equities, Forex, Major Crypto · Timeframes: H1, H4, D1

Thesis

Market trends exhibit inertia but are interrupted by mean-reverting pullbacks. By requiring Ichimoku Cloud support and SMA alignment, we identify structural inertia. By using Williams %R, we enter as the mean-reversion move exhausts, and the Keltner Channel breakout confirms the re-expansion of volatility in the trend's direction. Parabolic SAR is used to capitalize on the 'convexity' of the subsequent trend leg.

Components

• Ichimoku Kinko Hyo (regime) — Defines the higher-order trend regime; ensures trades are only taken when the 'cloud' (Span A/B) supports the direction.
• Simple Moving Average (SMA) (direction) — Provides a medium-term directional bias to filter out minor pullbacks that haven't shifted the primary trend.
• Williams %R (entry) — Identifies short-term oversold/overbought conditions to time entries into the established trend.
• Parabolic SAR (exit) — Serves as a dynamic trailing stop to lock in profits during momentum bursts while exiting quickly on reversals.
• Average True Range (ATR) (risk) — Standardizes risk per trade and initial stop-loss distance based on current volatility.
• Keltner Channels (volatility_filter) — Serves as a volatility filter; price must be outside the channel to confirm a volatility expansion supports the entry.

Known failure conditions

• Consistent failure of price to reach the Kijun-sen after %R reversals (momentum exhaustion).
• Extended periods of 'Cloud' thickness where price oscillates within Span A and B (choppy regime).
• Parabolic SAR triggering exits too early in high-volatility environments before ATR-based targets are reached.

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).