Box-Smoother Pullback System

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Equity Indices, Forex Majors, Large Cap Crypto · Timeframes: H1, H4, D1

Thesis

Market trends exhibit 'staircase' behavior (Boxline structure); after a range breakout, price often reverts to a short-term mean (Williams %R) before continuing. By combining low-lag smoothing (Ehlers) with volatility-normalized exits (Donchian/PSAR), we can capture the meat of a trend while filtering out noise.

Components

• Boxline (Dynamic Range Breakout) (regime) — Determines the regime; price must be trending outside of previous consolidated 'boxes' to trade.
• SuperTrend (direction) — Defines the primary trend bias to ensure the strategy only trades in the direction of established volatility-adjusted momentum.
• Williams %R (entry) — Acts as a mean-reversion trigger within a trend; looking for temporary 'oversold' levels in an uptrend to enter.
• Donchian Channels (exit) — Provides a structural exit signal based on the violation of recent extreme price levels (20-period low for longs).
• Parabolic SAR (risk) — Provides the mechanical stop-loss level and trailing mechanism for risk management.
• Ehlers SuperSmoother Filter (confirmation) — Confirms quality of the move by ensuring price is on the correct side of a noise-filtered curve to avoid minor noise entries.
• GAS Price Levels (volatility_filter) — Filter to ensure volatility is sufficient; trades are only valid if price is expanding relative to the multi-factor structural levels.

Known failure conditions

• Consecutive losses during high-volatility sideways chop where Boxline expands but fails to trend.
• Price remaining pinned between SuperSmoother and SuperTrend for extended periods (compression).

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).