Multi Timeframe SR: Automated MT5 Support and Resistance Clustering for Precise Entries

This detailed Multi Timeframe SR review from 2026 focuses on performance and provides an objective analysis of how the indicator operates in live market conditions. Multi Timeframe SR stands out because it aggregates pivot points across M15, H1, H4, Daily and Monthly timeframes and then clusters those pivots into consolidated price levels. The first-paragraph performance analysis shows how clustered levels produce clearer supply and demand zones compared with single-timeframe pivots. The algorithm calculates pivot locations, groups values within a tolerance band, and applies a magnet function to snap levels to representative price points. That workflow reduces clutter on charts and highlights areas where multiple timeframes agree, which often coincide with stronger market reactions. Multi Timeframe SR works best in trending and well-defined range markets where pivot clustering identifies confluence zones; it is less predictive during sudden, high-impact news events when structural levels can be breached. Risk management is trader-implemented with suggested stop placements beyond cluster width and position sizes tied to account risk limits. Expected performance characteristics include a moderate trade frequency driven by cluster formation, higher-quality signals when clusters align with trend context, and improved entry precision for swing and position trading setups. Traders should combine Multi Timeframe SR with volume or momentum confirmation for best results.