Fractal Climax Adaptive System

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

Thesis

The strategy hypothesizes that market trends are most reliably traded when price efficiency (fractal dimension) is high, but that these trends are prone to institutional distribution 'climaxes.' By using the FRAMA to adapt to volatility and the CCC filter to identify climax/distribution days, the strategy can enter pullbacks (Stochastic) with higher confidence that the trend is not exhausted. The Fisher Transform serves as a normalized confirmation to ensure momentum has truly shifted back in the direction of the fractal trend.

Components

• Ehlers Fractal Adaptive Moving Average (FRAMA) (regime) — Acts as the primary trend filter; it slows down in ranges to avoid whipsaws and speeds up during trend phases using fractal dimension calculation.
• Fisher Transform (EarnForex) (direction) — Normalizes price distribution into a Gaussian-like bell curve, highlighting the probability of momentum exhaustion and directional shifts.
• Stochastic Oscillator (entry) — Provides the tactical execution trigger by identifying local mean-reversion points within the larger trend.
• ATR Stop Loss Finder (exit) — Provides a volatility-adjusted trailing exit that accounts for current market noise levels.
• Auto Fibonacci (risk) — Determines structural 'logical' levels for trade invalidation and position sizing based on recent high/low swings.
• Average Force (confirmation) — Confirms that the price is positioned strongly relative to its recent range, ensuring the move has sufficient underlying 'force'.
• Combined Candle Counter (CCC) Dev (volatility_filter) — Functions as a 'health check' filter to prevent entering into buying/selling climaxes or distribution days where institutional selling is present.

Known failure conditions

• Failure of the FRAMA to adapt during 'micro-trending' noise, leading to multiple stop-outs.
• Auto-Fibonacci levels repainting as new highs/lows are formed, shifting the risk/reward mid-trade.
• Fisher Transform oscillating wildly in ultra-low volatility 'choppy' regimes.

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.