Log-Anchor Dynamic Spike System

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Crypto, Boom/Crash Indices · Timeframes: H1, H4, D1

Thesis

Price spikes occurring in the direction of an ultra-long-term 'anchor' trend (defined by a cumulative-mean EMA) are more likely to represent genuine institutional order flow rather than noise, especially when validated by log-stabilized variance and volatility expansion.

Components

• Logarithmic Transformation (LOG) (regime) — Normalizes price data to ensure that trend-following signals are based on percentage moves rather than absolute price, which is critical for long-term growing EMA filters.
• Unsupported UDF Switch Reassignment EMA (direction) — Acts as an 'infinite memory' anchor; as the bar index grows, this EMA becomes an ultra-stable baseline that filters out all but the most persistent secular trends.
• GOM KOLA SIDO — Full Integration (entry) — Provides the high-precision trigger via the 'Spike Entry' threshold, identifying local market structure breakouts (CHoCH) and volume spikes.
• Commodity Channel Index (CCI) (exit) — Identifies momentum exhaustion to time exits before the lagging trend-following components can react.
• SuperTrend (risk) — Provides a volatility-adjusted trailing stop that accounts for ATR-based noise.
• SMA3x5+BB - pjdhiro (volatility_filter) — Ensures entries only occur during volatility expansion (price breaking bands), preventing entries in low-liquidity/sideways environments.

Known failure conditions

• The strategy will fail if price remains stagnant for thousands of bars, as the Directional EMA length will grow so large it effectively becomes a horizontal line, losing all sensitivity.
• In highly mean-reverting markets, the volatility filter (BB) will trigger entries at the exact moment of exhaustion.

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).