Fractal Delta Liquidity Breakout

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

Thesis

Price breakouts of Bill Williams fractals represent shifts in market structure that offer a high-probability entry when aligned with medium-term trend (SMA) and immediate momentum (UDT Delta). By further filtering for execution costs (Spread Monitor), the strategy captures only high-liquidity moves where the edge exceeds the cost of trading.

Components

• Imported UDT typed UDF params Test (regime) — Acts as a momentum-delta regime filter, ensuring the immediate price change (1-bar delta) aligns with the desired direction.
• Simple Moving Average (SimpleMA) (direction) — Provides the medium-term trend bias to ensure entries are only taken in the direction of the established flow.
• Trend Break Fractal (entry) — Generates the core entry signal based on the violation of structural price points (Bill Williams fractals).
• Moving Averages (Multi-Method) (exit) — Uses a 13-period EMA (Method 1) as a dynamic trailing exit to capture trend extensions while limiting drawdowns.
• Price Line and Visible Range High-Low (risk) — Determines hard stop-loss levels based on the visible chart high/low, anchoring risk to recent market volatility.
• Spread Monitor (Tick-Level) (volatility_filter) — Filters out entries during periods of low liquidity or news-driven spread spikes that would erode the edge.

Known failure conditions

• Spread consistently exceeds 50% of the average candle range, rendering breakouts unprofitable.
• Market enters a low-volatility 'sawtooth' pattern where fractals are triggered but lack follow-through.
• The 'Visible High/Low' levels are excessively wide due to chart scaling, leading to unacceptably small position sizes.

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).