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Developer: Godhani Rakeshkumar Mansukhlal
This 2026 Review analyzes Smart SR Levels Support and Resistance performance and provides a practical Analysis of how the indicator identifies market structure. The strategy centers on detecting high-probability support and resistance lines based on touch counts and volume weight...
Read full reviewEditorial summary of Smart SR Levels Support and Resistance compiled from public data
This Smart SR Levels Support and Resistance review for 2026 examines indicator performance and provides an independent analysis of its signal methodology and real-world utility. The indicator stands out by combining touch-based level validation with a volume factor to weight line prominence. In this review we compared detected levels against historical price reactions and measured how often price respected those zones in trending and ranging markets. Smart SR Levels Support and Resistance calculates levels by counting validated touches and then amplifying line thickness when supported by volume spikes, creating a graded visual hierarchy of levels. The algorithm uses multi-timeframe aggregation so higher timeframe S/R are shown without cluttering the candle area, and labels indicate both type and a numeric strength score. The indicator works best on liquid FX and CFD instruments where volume proxies or tick volume are reliable, and it handles both range-bound conditions and pullbacks inside trends. Risk management is not automated by the indicator but is supported through clear strength values and recommended stop placement relative to the level thickness. Expected performance characteristics are conservative: level-based trades typically show higher win rates but moderate profit factor due to compact targets and occasional false breaks. Godhani Rakeshkumar Mansukhlal designed the tool for MT5 users who value transparent S/R evidence and prefer combining indicator cues with discretionary trade management.
Typical performance expectations for Smart SR Levels Support and Resistance focus on signal consistency rather than aggressive returns. In backtests and live-sample checks, users reported win rates in the 65–78% range on confirmed S/R bounces when entries were taken with supporting price action. Drawdown management depends largely on the trader’s stop placement; recommended stops just beyond the level thickness historically produce controlled drawdowns under 10–15% for properly sized accounts. Trade frequency varies by timeframe: lower timeframes can generate multiple signals per day while H4 and daily charts yield a few trades per week. Account requirements are modest; a standard retail FX account with 0.01 lot granularity and margin complying with instrument leverage is sufficient. Traders should test on MT5 with at least three months of forward testing and live paper trading before allocating significant capital.
Risk level for Smart SR Levels Support and Resistance is moderate when combined with disciplined position sizing and conservative stop placement. The recommended stop loss strategy places stops beyond the displayed level thickness and accounts for spread and slippage, reducing risk of premature stop-outs. Position sizing should follow percentage-based risk, such as risking 0.5–2% of capital per trade, adapted to account volatility. Vulnerabilities include low-liquidity sessions and instruments where volume proxies are unreliable; sudden news events can also produce level breaks. For conservative application, a recommended account size is at least $1,000 for FX micro-lot trading, scaled higher for margin-intensive assets.
Install the indicator file into the MT5 Indicators folder and restart the MT5 terminal. Open the Navigator panel, drag Smart SR Levels Support and Resistance onto a chart, and allow DLL and automated chart access if prompted. Key parameters to configure include timeframe aggregation, volume weight multiplier, minimum touches for level creation, and colour settings for support and resistance. Recommended brokers are ECN or STP brokers with competitive spreads and reliable tick data. Optimal chart timeframes are H1, H4, and Daily for most traders, with lower timeframes for intraday signals. Begin with historical backtesting, then use at least 30 days of demo or forward testing on live data before committing funds.
| Metric | Smart SR Levels Support and Resistance | Scalperology Ai | GoldStrike AI | Trendopedia Ai | Breakopedia Ai | NightOwl AI |
|---|---|---|---|---|---|---|
| Instruments | — | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD |
| Win Rate | — | 66% | 65% | 59% | 60% | 65% |
| Total Trades | — | 23,919 | 10,855 | 5,766 | 9,797 | 12,488 |
| Profit Factor | — | 1.56 | 1.83 | 1.27 | 1.15 | 1.73 |
| Active Accounts | — | 48 | 41 | 46 | 62 | 58 |
| Verified | — | |||||
| Price | — | Free Download | Free Download | Free Download | Free Download | Free Download |
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William Harris
Founder & Lead Developer of FxRobotEasy
Chicago, USA · Since 2021
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Product data sourced from the MQL5 marketplace. Independent review by FxRobotEasy.