Smoothed Volume-Structure Pullback System

Family: pullback · Regime: trending · Complexity: medium · Asset classes: Equities, Forex, Crypto · Timeframes: H1, H4

Thesis

The strategy bets that price will resume its primary trend after a momentum correction, provided that the correction terminates in a 'High Volume Node' where historical participation is high. By entering MACD crosses only in discounted/premium zones, we minimize 'buying the top' and utilize MA-Candlesticks to filter for established smoothed trends. The use of a persistent Linefill Array ensures that the market structure we are referencing hasn't been lost to runtime memory errors.

Components

• Linefill Array Slice History Test (regime) — Used as a structural regime filter to ensure the current price segment belongs to a 'sliced' historical window that maintains data persistence/integrity.
• MA-Candlesticks (direction) — Defines the primary trend bias. If the synthetic MA-Close is above the MA-Open, the trend is bullish.
• MACD signal turn (entry) — Identifies momentum reversals in 'discounted' territory (e.g., bullish turns below the zero line) to catch pullbacks.
• Equity Line Projection (exit) — Provides a deterministic exit price based on the projected impact on account equity, effectively a dynamic take-profit.
• Average True Range (NNFX) (risk) — Standardized volatility measurement for setting stop-loss distance and normalizing position size.
• Volume by Level Map (confirmation) — Confirms entry by ensuring the price is currently at a High Volume Node (HVN), suggesting institutional interest or price acceptance.

Known failure conditions

• Persistent price consolidation where MACD oscillates across the signal line without moving price.
• Failure of the 'Linefill Array' to maintain historical references, indicating a lack of market structure continuity.
• Negative slippage exceeding 25% of the ATR-based stop-loss distance.

Explore the full interactive blueprint, parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine.