Dynamic Inertia Volume Turnover Hybrid

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

Thesis

Markets exhibit 'inertia' that increases with the duration of the data set; by using a dynamic EMA length based on the bar index, we can filter for trend reversals that have enough force to overcome increasing lag. This, combined with volume turnover (Float Indicator) and ATR-based momentum (UT Bot), identifies high-probability structural shifts.

Components

• Unsupported Dynamic EMA Length Test (regime) — Acts as an 'Inertia Anchor'. As the backtest progresses, the EMA period grows, requiring increasingly sustained price movement to shift the trend regime.
• Float Indicator (direction) — Identifies market structure shifts by measuring when a volume equivalent to the 'float' has turned over between local swings.
• UT Bot Alerts (MQL5) (entry) — Provides the tactical entry signal when price breaks the ATR-based trailing stop, confirming momentum.
• Average True Range (Standard MQ4) (exit) — Used to calculate the take-profit target based on recent realized volatility.
• FakeCandle (risk) — Provides the visual/structural framework for the NNFX risk management module to calculate position sizing.
• ATR SL Finder (volatility_filter) — Ensures entries do not occur during volatility spikes that would result in immediate stop-outs.

Known failure conditions

• The Dynamic EMA period exceeds 10,000 bars, rendering it completely static and non-responsive to price.
• Volume turnover (Float) occurs consistently within a tight range without trend breakout.

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