Non-Parametric Structural Breakout Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX Majors, US Equities (Blue Chips), Liquid Indices · Timeframes: 15m, 1H

Thesis

Market participants react to structural levels (fractals/trendlines) more reliably during high-liquidity windows (09:45-16:15) when the primary non-parametric trend (Kernel Regression) is aligned, indicating a high-probability momentum expansion.

Components

• Nadaraya-Watson Kernel Regression (regime) — Defines the primary trend regime using non-parametric smoothing to avoid the rigidities of linear moving averages.
• EMA with Switch-Based Length Reassignment (direction) — Acts as a high-sensitivity direction filter. Due to the dormant switch logic, it functions as a 2-period EMA for ultra-short-term momentum confirmation.
• Best Volume Trend Expert (entry) — Triggers entries based on a combination of MACD, Fractal positioning, and manual trendline breaches during high-liquidity sessions.
• ATR SL Finder (exit) — Provides volatility-adjusted exit points to allow for noise while capping potential losses.
• Support and Resistance (Fractal-based) (risk) — Defines the underlying market structure for stop-loss placement and position sizing based on established price pivots.
• Chart Point Qualifier Demo (confirmation) — Validates the entry point by ensuring the script can construct a valid coordinate point for the breakout event.

Known failure conditions

• Manual trendlines not updated daily, rendering the entry logic inert.
• Persistent sideways volatility where price whipsaws across the NW Kernel curve.
• Asset classes with low liquidity during the specified 09:45-16:15 window.

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