A Multi-Signal Trading Strategy with Regime, Trend, Momentum, and Risk Filters
Summary
The Crucible Convergence Engine combines several technical components: ATR percentile ranks classify market conditions, moving averages determine direction, a momentum measure is filtered by volume, and statistical bands and rounded price levels provide additional signals or exits. Its risk framework uses ATR-based stops, targets, and an optional trailing stop. The script exposes adjustable settings for these components and disables pyramiding while sizing trades as a fraction of equity.
The document provides strategy code and configuration details, but no performance results or market-specific validation. The available source ends partway through the risk inputs, so the full entry, exit, and position-management logic cannot be assessed from this excerpt. Its claims and parameter defaults should therefore be treated as a design outline rather than evidence of profitability; testing costs, execution, and behavior across market regimes would be needed.
Key ideas
- The strategy combines ATR percentile ranks with thresholds to classify trend and volatility regimes.
- Fast and slow moving averages provide a directional trend filter.
- Momentum and volume conditions are intended to screen short-term entry signals.
- Deviation bands and rounded price levels can contribute to exits or signal management.
- ATR-based initial stops, profit targets, and optional trailing stops form the risk framework.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.