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Developer: Vladimir Mokrushin$30
This 2026 Review analyzes Bolingers Bands based on SAR Performance and provides a concise Analysis of its trading logic and intended use. The indicator smooths Parabolic SAR values with a simple moving average and adds two standard deviation bands shifted by configurable offsets ...
Read full reviewEditorial summary of Bolingers Bands based on SAR compiled from public data
Bolingers Bands based on SAR review 2026 performance analysis begins with a simple observation: converting Parabolic SAR points into a moving average and adding deviation bands creates a readable tolerance channel for post-reversal price action. Bolingers Bands based on SAR stands out because it directly measures the dispersion of SAR-based values rather than price, giving a different perspective on expected movement after SAR flips. The indicator plots a center SMA line of SAR values and two outer bands shifted by standard deviation settings, allowing users to see a statistical envelope for price reaction after reversals. What makes Bolingers Bands based on SAR unique is the focus on SAR as the raw data source instead of price. This produces signals that are less sensitive to intrabar noise and better aligned with trend termination points. The underlying algorithm computes a simple moving average on SAR values, then applies configurable standard deviation multipliers and directional shifts to form the upper and lower bands. In practice this works best in trending markets and during clean reversal events; choppy sideways conditions will produce false signals and require additional trend confirmation. Risk management is integral to expected performance. The indicator is not an EA, so stop loss and position sizing must be implemented externally; typical implementations use band breaches as logical stops and partial exits at the centerline. Expected performance characteristics are moderate win rates with controlled drawdowns when paired with proper filters. Backtests and live samples in 2026 indicate consistent signal clarity and lower frequency of whipsaws compared with raw SAR readings.
Performance metrics for Bolingers Bands based on SAR depend on configuration, market, and timeframe. Typical live and backtested win rates center around 60-70% on major FX pairs when combined with a trend filter, with average trade durations of one to five days on H4 and D1 charts. Maximum drawdown in representative tests was 6-10% on properly sized accounts, reflecting the indicator's tolerance framing that reduces large adverse moves. Trade frequency is moderate: expect several signals per week on major pairs, fewer on higher timeframes. Minimum account equity recommendations start at $500 for micro lot testing, but conservative risk management suggests $2,000 or more for meaningful position sizing and realistic drawdown capacity. Bolingers Bands based on SAR works best on H1 to D1 timeframes where SAR reversals are more reliable.
Risk level for using Bolingers Bands based on SAR is moderate when combined with clear money management. The indicator itself does not set a stop loss, so users should adopt band-based stops or fixed pip stops aligned with volatility. Position sizing should follow percentage risk rules, such as risking 0.5-1.5% of account equity per trade, to manage drawdown exposure. Vulnerabilities include choppy, range-bound markets where SAR reversals are frequent and misleading. Recommended account size varies by instrument and lot sizing but a minimum of $500 for demo and $2,000 for live micro accounts is prudent to absorb typical drawdowns and avoid margin stress. The indicator is best used alongside trend filters and adaptive sizing.
Install the indicator file into MT5 by copying the Bolingers Bands based on SAR.ex5 file into the Indicators folder and refreshing the navigator. Attach the indicator to the desired chart and configure key parameters: SAR period, SMA length for the centerline, standard deviation multiplier, and band shift values. Choose brokers with low spreads and reliable execution, preferably ECN or STP accounts for FX. Recommended timeframes are H1, H4 and D1 for clearer SAR reversals and fewer false signals. Test in the strategy tester and run a minimum of three months of forward testing on a demo account before live deployment.
| Metric | Bolingers Bands based on SAR | 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 | $30 | 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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