Confluence Pulse & Structural Regime Trader

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

Thesis

Market participants exhibit a 'directional memory' where long-term historical candle distributions reflect underlying institutional bias. By combining this structural regime with multi-timeframe trend alignment and a high-confluence momentum/volume trigger, we can enter high-probability trend extensions while using volatility-based stops to survive minor pullbacks.

Components

• Candle Count History (regime) — Establishes the long-term structural bias (regime) by identifying if the historical distribution of candles is skewed toward bulls or bears.
• Multi Timeframe Moving Average Dashboard (direction) — Aligns the trade with the aggregate trend across multiple horizons to ensure the trade is not fighting a dominant higher-timeframe flow.
• IAE — Technical Confluence Score (entry) — Acts as the high-conviction trigger by requiring multiple technical factors (momentum, volume, S/R) to align simultaneously.
• MACD Classic (3-Line) (exit) — Identifies momentum exhaustion or trend reversals to exit the position before price reverts to the mean.
• ATR Stop Loss Finder (risk) — Provides volatility-adjusted risk spacing to prevent premature exit during normal market noise.

Known failure conditions

• The Candle Count History shows a balanced distribution (50/50) while price remains in a tight range, indicating no structural bias.
• The MTF Dashboard shows conflicting signals across major timeframes (e.g., H4 Bullish / D1 Bearish), suggesting a lack of trend coordination.
• The IAE Score remains below 50 during significant price moves, indicating the scoring engine is miscalibrated for the current asset.

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.