Hybrid Darvas-UTBot Structural Trend Follower

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

Thesis

Institutional participation in a trend is often marked by volume spikes coinciding with moving average alignment. By using a volatility-based entry (UTBot) that triggers only when price breaks its current ATR 'noise' band, we capture high-momentum legs. Using Darvas Boxes for risk management ensures that stops are placed at structural levels where the trend hypothesis is truly invalidated, while ZigZag exits allow the trend to run until a confirmed reversal in market structure occurs.

Components

Known failure conditions

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