A Regime and Weighted-Confluence Framework for Trading Signals
Summary
The visible portion of this strategy source outlines a market-regime and signal-confluence framework. It exposes an ADX threshold for trend classification and an ATR ratio threshold for identifying higher volatility. Trend context can draw on a volume-weighted moving average, a fast and slow Hull moving average ribbon, and an optional higher-timeframe filter. A confluence engine sets a minimum score and directional lead, with a minimum efficiency-ratio condition and weights for structure, volume, momentum, liquidity, volatility, and efficiency ratio.
The excerpt also begins an exit module with risk-reward target inputs, but it ends before showing how regimes, component scores, entries, sizing, or exits are actually calculated. No instrument, backtest period, performance evidence, or validation details are included in the visible text. The parameters convey a modular design for combining trend and market-condition signals, but the fragment is insufficient to assess the scoring logic, avoid lookahead, or determine whether the proposed filters improve trading outcomes.
Key ideas
- The framework uses ADX and an ATR ratio threshold as regime inputs.
- Trend filters include VWMA, a Hull moving-average ribbon, and an optional higher timeframe.
- A weighted confluence score combines structure, volume, momentum, liquidity, volatility, and efficiency ratio.
- The excerpt includes risk-reward target settings but omits the operative trade logic.
- No backtest evidence is visible, so effectiveness cannot be assessed from this fragment.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.