Confluence Strategy Combining Structure, Momentum, Volume, and Risk Filters
Summary
The strategy combines market-structure signals, fair value gaps, momentum, volume, higher-timeframe direction, and session conditions to decide whether to trade long or short. It detects swing pivots and breaks or changes in structure, while configurable filters determine which forms of confluence must support an entry. Optional modules add liquidity analysis, smart-money and harmonic signals, and a labeled quantum-coherence filter. The script also includes alerts and chart visuals for signals and zones.
Risk controls include ATR-based stop distances, a configurable risk-to-reward target, and an optional trailing stop, alongside a per-trade risk setting. The visible configuration describes intended mechanics, but the document is truncated through much of the implementation and offers no strategy report or empirical validation. Some labels, especially the quantum terminology, are not explained as standard market measurements, so their calculations and practical value cannot be assessed from the supplied text.
Key ideas
- Entries are designed to require agreement among selected structure, momentum, volume, timeframe, and session conditions.
- Swing pivots support break-of-structure and change-of-character signals.
- Fair value gaps and optional liquidity, smart-money, and harmonic modules add further filters.
- ATR-based stops, risk-to-reward targets, and an optional trailing stop define configurable exit controls.
- The source is truncated and gives no performance evidence for the strategy.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.