DEMA-ROC Structural Momentum System

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Forex, Indices · Timeframes: 30M, 1H

Thesis

The hypothesis is that sustainable trends are characterized by 'summable' price action—where data structure is orderly—and that entries are most effective when momentum (ROC) aligns with long-term trend filters (DEMA) outside of destabilizing fundamental events (News). By filtering for ADX strength and news-driven volatility, we avoid the 'noise' that leads to coding-style aggregation failures.

Components

• Unsupported Array Sum UDT Test (regime) — Acts as a theoretical 'Structure Filter.' Because the UDT sum fails in the script, the strategy defines a 'Valid Structure' regime only when price action escapes a zone of high-frequency noise that makes data aggregation (summing) mathematically meaningless.
• DEMA 200 & ADX Combined HUD (direction) — Provides the primary trend bias and ensures momentum is strong enough (ADX > 20) to justify a trend-following position.
• Rate of Change (ROC) (entry) — Used as the tactical entry trigger to ensure the position is opened as momentum is accelerating in the direction of the DEMA trend.
• MACD (exit) — Provides a multi-staged exit strategy based on signal line crossovers or histogram momentum decay.
• News Indicator NMNNFX (risk) — Functions as a 'Volatility Gate.' Entries are prohibited during high-impact windows, and the 'distance' parameters define the protective stop-loss buffer based on historical news-driven volatility.

Known failure conditions

• Extended periods of ADX values between 15-25 where the system generates multiple ROC triggers without a sustained trend.
• Failure of the NewsImport.mqh file resulting in trades being taken during high-slippage economic releases.
• Price hovering around the DEMA 200, causing the directional bias to flip frequently.

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.