Confluence Scoring for EMA, Regime, Volume, RSI, and Higher-Timeframe Trend

Summary

This strategy combines a short linear-regression crossover with trend, volatility-regime, volume, RSI, and higher-timeframe filters. Long and short setups receive weighted confluence scores; an entry requires the relevant crossover, aligned EMA and higher-timeframe bias, acceptable RSI and volume conditions, a trending regime, and a score above the selected minimum. Signals are limited to confirmed bars after an indicator warmup period.

Risk and exits use an ATR-based stop and target set from entry volatility, plus a bar-count timeout and an exit when the fast and slow EMAs reverse alignment. A cooldown follows each exit, and the script can display signal labels, levels, and a dashboard. The document supplies implementation details but no independent performance evidence. Results will depend on the instrument, timeframe, settings, and execution assumptions; the included defaults should be treated as parameters to evaluate rather than evidence of an edge.

Key ideas

• The entry combines a linear-regression crossover with weighted trend, higher-timeframe, volume, RSI, and volatility-regime checks.
• Long and short confluence scores use parallel rules, with configurable minimum scores controlling eligibility.
• ATR multiples define initial stop and target levels, while timeout and EMA trend-flip rules can close positions.
• A post-exit cooldown and confirmed-bar requirement constrain signal timing.
• The script describes a configurable method but provides no reported backtest results.

Tags

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