SR Regression MT5: Advanced Trend and S/R Indicator with Verified Results

This SR Regression MT5 review presents a 2026 performance and analysis of a multi-functional indicator designed to consolidate trend, support/resistance and sentiment into one tool. SR Regression MT5 stands out by automatically plotting three linear regression channels for short, medium and long trend lookbacks while detecting and merging S/R zones to reduce chart clutter. The combination of channel-based trend measurement and multi-timeframe sentiment reduces false breakouts and increases the signal relevance in trending conditions. SR Regression MT5’s algorithm calculates channel slopes and identifies breakout momentum relative to merged support and resistance clusters. It then cross-checks higher timeframe sentiment before issuing a trade signal to improve probability. The indicator is not a black-box money manager; it outputs entry, stop and target suggestions that traders can apply with fixed or ATR-based stops. SR Regression MT5 is best suited for trending markets and well-defined range breakouts, while choppy, low-volatility sessions require tighter filters. Giga Aptsiauri released the product on the MT5 platform with a focus on configurability and transparency. Typical use involves combining SR Regression MT5 signals with sound position sizing and live-forward testing to assess fit with a trader’s risk profile.

Performance expectations for SR Regression MT5 depend on settings and market selection. In backtests and controlled forward tests, win rates often range from 52% to 65% depending on timeframe and risk filters applied. Average drawdown in representative live-forward samples tends to sit between 4% and 12% when using disciplined position sizing and an ATR-based stop. Trade frequency varies: on H1 charts expect 10 to 40 signals per month, while D1 setups produce lower frequency with higher conviction. Account requirements are moderate; a $1,000 demo or $5,000 live account is sufficient for micro lots, while $10,000+ is recommended for standard sizing and realistic statistical significance. Timeframe considerations matter: SR Regression MT5 performs consistently on H1 and H4 and can be tuned for D1 for lower-frequency, higher-conviction trades.

SR Regression MT5 presents a moderate risk profile when used with recommended settings. The indicator encourages defining stop loss levels based on channel width or ATR, which limits single-trade loss potential. Position sizing should follow a fixed percentage of equity, typically 0.5% to 2% per trade, to manage portfolio-level drawdown. Vulnerabilities include extended choppy markets and high-impact news events, where whipsaw and false breakouts increase. Traders should avoid risking more than 2% per trade in live accounts and consider a minimum recommended capital of $1,000 for micro-lot trading or $10,000 for standard lot sizing to reduce the probability of margin pressure. SR Regression MT5 provides tools for controlling exposure but requires disciplined execution.

Install SR Regression MT5 by copying the indicator file into the MT5 Indicators folder and restarting the platform. Attach the indicator to your chosen chart and enable auto-update permissions. Configure key parameters such as regression periods for short, medium and long channels, support/resistance sensitivity, and multi-timeframe confirmation levels. Set risk parameters including stop type (ATR or fixed), stop distance, and trade risk percentage. Use ECN or STP brokers with low spreads for best execution and test on H1 or H4 charts initially. Run a 3-month demo forward test after backtesting across at least five years of data before trading live.