Fractal-Float Confluence Trend Trader

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Equities, FX, Crypto · Timeframes: H1, H4

Thesis

Market trends are most sustainable when volatility breakouts occur under conditions of low 'float' turnover (early cycle) and are confirmed by momentum alignment across multiple timeframes, suggesting a broad institutional participation rather than a retail spike.

Components

• Extrem SuperTrend (regime) — Establishes the primary trend regime and prevents trading against the dominant ATR-adjusted price floor.
• GoldenChart MACD (direction) — Provides momentum confirmation; ensures trade is taken when momentum is expanding in the direction of the regime.
• Keltner Channels (entry) — Acts as the high-probability trigger; entry occurs only on a volatility breakout above the upper band.
• IAE — Technical Confluence Score (exit) — Aggregates multi-modal data to provide a dynamic exit signal when the confluence of trend/volume factors degrades.
• Support and Resistance (Fractal-based) (risk) — Uses price-action-based local pivots for non-arbitrary stop-loss placement and position sizing.
• TF Bias Detector (SMC) (confirmation) — Ensures alignment across timeframes (H1/H4), preventing entries against higher-order structural resistance.
• Float Indicator (volatility_filter) — Filters for 'exhausted' moves by measuring volume turnover relative to the local swing float.

Known failure conditions

• Consistently flat MACD histogram during high-volatility price swings (volatility without momentum).
• IAE score remains above 50 despite price breaking below SuperTrend (confluence lag).
• Price oscillates around the Keltner mid-line for >10 bars (regime failure).

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.