SR Levels Smart SupportResistance provides automated MT4 support and resistance with clearer entries

This SR Levels Smart SupportResistance Review for 2026 focuses on Performance and Analysis of the indicator on MT4, comparing its zone identification to manual S/R drawing and alternative HTF methods. The review documents how SR Levels Smart SupportResistance transforms higher timeframe pivots into clearly shaded zones, provides optional confirmation filters, and timestamps each level to help traders prioritize entries. Simon Draxler developed the algorithm to rely on clustered swing points rather than single-touch pivots, which reduces noise on lower timeframes and increases level longevity. SR Levels Smart SupportResistance stands out because it automates HTF structure recognition while preserving trader control over sensitivity and timeframe alignment. The core algorithm detects swing highs and lows on selected higher timeframes, consolidates overlapping pivots into zones, and applies simple rules to label zone strength. In practice, the indicator performs best on trending and range-bound markets where higher timeframe pivots are respected, and it is less reliable in sudden spike conditions caused by major news. Risk management is built around level-based entries and configurable stop placement beyond zone boundaries, with recommended position sizing of 0.5 to 2.0 percent risk per trade depending on account size. Expected performance characteristics include moderate trade frequency on H1-H4 charts, a focus on higher reward-to-risk setups, and improved consistency when combined with confirmation filters and manual judgment. The review shows SR Levels Smart SupportResistance provides repeatable structure visibility for systematic traders using MT4.