Low-Turbulence Momentum Squeeze

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

Thesis

Momentum assets are prone to mean-reversion during high-noise phases; by using the Market Weather filter to identify 'quiet' trend regimes and entering only on Bollinger Squeeze breakouts, we capture high-probability momentum continuations while avoiding the whipsaws common in 'turbulent' markets.

Components

• Performance Table (regime) — Establishes a relative strength regime; we only trade assets showing significant multi-month momentum relative to their own history.
• SuperTrend (direction) — Provides the primary directional filter to ensure we are not trading against the dominant trend.
• Bollinger Squeeze Advanced (entry) — Identifies the specific volatility breakout point following a period of consolidation.
• Grid Points Utility (exit) — Provides objective, non-dynamic price targets based on psychological round numbers or fixed intervals.
• Average True Range (ATR) (risk) — Used for volatility-adjusted stop losses and position sizing to normalize risk across different assets.
• Market Weather Price MA Cross (volatility_filter) — Filters out 'noisy' regimes; if price crosses the 60-period SMA too frequently, the market is too turbulent for clean breakouts.

Known failure conditions

• Performance Table shows high volatility but no net gain over 6 months (range-bound).
• Market Weather count remains consistently above 20, indicating permanent structural noise in the asset.
• Grid points are set too narrow relative to the ATR, leading to 'death by a thousand cuts' on spreads.

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.