Lorentzian Neural Squeeze Breakout
Family: breakout · Regime: trending · Complexity: high · Asset classes: Equities, FX, Crypto · Timeframes: H1, H4
Thesis
The strategy hypothesizes that market breakouts from low-volatility zones (Squeezes) are higher probability when the current price-action feature-set aligns with historical profitable analogs (Lorentzian) and internal candle strength (NNind) coincides with high-volume institutional participation (Hybrid Scanner). This edge relies on the structural reality that volatility is cyclical and moves from periods of compression to expansion.
Components
- Lorentzian Classification (regime) — Defines the regime by finding historical price-action analogs in a multi-dimensional feature space. It ensures the current market 'looks like' past profitable regimes.
- Neural Network Indicator (NNind) (direction) — Acts as a non-linear momentum filter. It processes the Close Location Value (CLV) to confirm that price discovery is currently favoring one side of the candle range.
- Bollinger Squeeze Advanced (entry) — The execution trigger. It identifies the transition from low-volatility compression (squeeze) to high-volatility expansion (breakout) using the histogram.
- MACD Classic (3-Line) (exit) — Provides a trailing trend exit logic. When momentum (histogram) or the trend (signal line) reverses, the position is liquidated.
- Boxline (Range Breakout) (risk) — Determines trade invalidation levels based on local market structure (consolidation boundaries) rather than arbitrary pips.
- Custom 006 Hybrid Table Scanner (volatility_filter) — A binary filter requiring both trend alignment (EMAs) and volume participation (spike) before any signal is considered valid.
Known failure conditions
- Prolonged sideways markets where Boxline ranges are extremely narrow, leading to high-frequency stop-outs on noise.
- Market regime shift where historical analogs (Lorentzian) are no longer predictive of future movement (non-stationarity).
- Volume dry-ups where the Table Scanner score never reaches the required threshold despite price movement.
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).