Risk-Based Execution Strategy with Confluence and Session Filters

Summary

The excerpt presents configurable components for a trading strategy centered on execution and entry filtering. Its inputs include risk per trade, a reward-to-risk target, an ATR-based stop, and an optional ATR trailing stop. Entry filters include separate confluence thresholds for long and short trades, an optional active-session requirement, and an optional fair value gap condition. Regime settings provide a choice of moving-average type and lengths alongside ATR parameters; further inputs cover Bollinger Bands, CCI, rate of change, and smoothing for a displacement measure.

The script also defines UTC session windows, a higher timeframe for directional bias, and a swing lookback, suggesting a multi-factor framework. However, the supplied document cuts off before the calculations, signal rules, order management, or reporting appear. It therefore does not show how the listed indicators combine, how position size is calculated from the risk input, or whether the filters improve results. No backtest evidence is included, so the parameter list describes intended controls rather than a validated method.

Key ideas

• The strategy exposes risk, reward-to-risk, ATR stop, and optional trailing-stop controls.
• Separate long and short confluence thresholds can gate entries, with optional session and fair value gap filters.
• Regime and displacement inputs combine configurable moving averages, ATR, Bollinger Bands, CCI, and rate of change.
• The excerpt omits signal logic and performance evidence, so the behavior and effectiveness cannot be assessed.

Tags

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