Multi-Factor Trading Strategy with Cross-Timeframe Bias and Risk Rails

Summary

This strategy combines several market filters to produce long and short triggers. It scores fast and slow exponential moving averages across higher timeframes alongside a local trend measure, then adds an auction profile built by distributing each bar’s volume across price bins. Further components assess structure, momentum, volume absorption, and ATR percentile to refine the directional signal and trading conditions.

Risk controls include ATR-based stops, optional structure-based stop anchors, and two profit targets expressed as multiples of initial risk. The script also provides trade rails, a dashboard, and alert conditions. Its code describes a configurable indicator strategy rather than presenting performance evidence or a tested edge. Results will depend on chosen markets, chart timeframe, settings, data quality, and execution assumptions; the included strategy settings alone do not establish profitability.

Key ideas

• The strategy combines higher-timeframe EMA bias with local trend, auction, structure, and momentum scores.
• Volume is allocated across price bins to estimate a point of control and value area.
• Volume absorption and ATR percentile filters help assess activity and volatility conditions.
• ATR and optional structure levels anchor stops, while profit targets use multiples of initial risk.
• The document provides implementation details but no performance evidence establishing a trading edge.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.