Multi-Factor Trend and Volatility Filtering with Adaptive Risk Controls
Summary
The Helios strategy combines an adaptive price baseline, moving-average direction, directional movement, VWAP distance, range position, volatility measures, and higher-timeframe references into a scored long or short framework. Configurable filters include minimum confluence, volatility bounds, optional session restriction, cooldown, and avoidance of fresh compression. The visible code also defines risk controls for position sizing from account equity and stop distance, ATR-based stops, targets and trailing distances, a daily drawdown guard, and a maximum holding period.
The excerpt shows extensive inputs, calculations, dashboard fields, and alert conditions, but omits much of the central trigger and order-management logic. It therefore does not allow a complete reconstruction of how component scores combine or exactly when trades execute. No performance report or empirical comparison is included. The strategy’s institutional terminology and detailed interface describe design intent, while effectiveness and live execution behavior remain unverified by the material provided.
Key ideas
- The strategy blends adaptive trend measures with VWAP, range position, higher-timeframe data, and volatility scoring.
- Long and short setups are intended to depend on configurable confluence and market filters.
- Position size is calculated from equity risk and the distance to a proposed stop, subject to quantity bounds.
- ATR-based stops, targets, trailing controls, daily loss limits, and a maximum holding period are provided as risk settings.
- The omitted trigger logic and lack of reported results prevent evaluation of the complete method.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.