Carter Ratio Squeeze Expansion Strategy

Family: volatility · Regime: high_vol · Complexity: medium · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4

Thesis

Market volatility is mean-reverting; long periods of low volatility (squeeze) are almost always followed by high volatility expansions. By aligning the direction of the squeeze breakout with medium-term trend (EMA) and confirming with rate-of-change (Momentum), we can capture the core of the expansion. Using psychological price levels (Grid Points) for risk provides structural barriers that are less likely to be hit by minor noise than ATR-based stops.

Components

• TTM Squeeze (Carter Ratio version) (regime) — Identifies the 'low-energy' regime where Bollinger Bands contract within Keltner Channels, signaling an imminent volatility expansion.
• MACD EMA Crossover Visualizer (direction) — Establishes the medium-term directional bias to ensure we only trade breakouts in the direction of established momentum.
• Stochastic Oscillator (entry) — Acts as the tactical trigger, catching the 'hook' or momentum surge within the volatility expansion.
• MACD (exit) — Uses signal line crosses and histogram reversals to identify the exhaustion of the momentum impulse.
• Grid Points Utility (risk) — Provides objective, psychological levels for stop-loss placement and fixed-point risk calculation.
• Momentum (Example) (confirmation) — Confirms that the breakout has sufficient velocity (Price_t > Price_t-n) to overcome noise.

Known failure conditions

• Squeeze periods lasting > 50 bars without a breakout, suggesting a dead market.
• Price oscillating across a single Grid Point line multiple times without directional progression.
• High correlation between MACD and Momentum signals leading to redundant confirmation.

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).