Multi-Factor Trend and Session Strategy with Confluence Scoring

Summary

This strategy combines several market readings into directional confluence scores. Its regime engine uses normalized EMA spreads, ADX, and ATR to distinguish trend, balance, expansion, and transition conditions. It adds higher-timeframe EMA bias, confirmed swing structure, momentum and divergence measures, opening-range and session context, and volume participation. Trade entries depend on score thresholds and filters, with configurable session limits and cooldowns.

The script sizes trades from a chosen percentage of equity and an ATR-based stop distance, and sets ATR-based profit targets and a maximum holding period. It also includes dashboard and chart displays to expose regime, bias, volume, and scores. The document provides implementation details and parameter defaults, but no performance statistics or comparison against simpler rules. The many inputs and components create substantial scope for parameter sensitivity and overfitting; results would depend on instrument, timeframe, session definitions, and realistic costs. The supplied excerpt is incomplete, so some final entry and exit conditions cannot be fully assessed.

Key ideas

• The strategy classifies market conditions using ADX, ATR behavior, and normalized moving-average spread.
• Directional scores combine higher-timeframe bias, swing structure, momentum, volume, and session context.
• Opening-range and session filters can restrict entries to moves aligned with intraday conditions.
• Position size is derived from equity risk and stop distance, with ATR-based targets and time limits.
• The document gives no performance evidence, and its numerous tunable components may be sensitive to parameter choices.

Tags

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