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Developer: Mohammad Abbas Mohammad Dashti
This 2026 review analyzes Major Support and Resistance Zones performance and provides a practical analysis of its trading logic and results. The indicator separates wick rejections from candle body value zones to highlight where price is most likely to react, simplifying decision...
Read full reviewEditorial summary of Major Support and Resistance Zones compiled from public data
This detailed review of Major Support and Resistance Zones in 2026 examines indicator performance and provides an independent analysis of results and behavior. Major Support and Resistance Zones stands out because it visually isolates wick-based rejection areas from candle-body value regions, presenting each as minimalist rectangles rather than noisy lines or labels. That visual-first approach is the core of the algorithm: it scans price history, identifies contiguous candle body extremes, measures the gap to wick extremes, and then draws persistent zones sized by configurable sensitivity and history depth. The algorithm evaluates multi-timeframe agreement and can mark only zones that meet a repetition threshold to reduce noise. In practice, Major Support and Resistance Zones works best in trending markets with clear pullbacks and in range-bound markets where rejections repeatedly occur at the same levels. It is less effective during high-volatility news spikes where price structure breaks rapidly. Risk management is left to the trader, but the indicator improves decision making by highlighting where stops and targets can be placed relative to visualized value areas. Results from combined backtests and limited live-account samples show improved entry precision and a reduction in weak signals when used with a simple trend filter. Overall, Major Support and Resistance Zones offers a focused, low-overhead method to map potential reaction levels on MT4 charts without extraneous statistics or clutter.
Typical performance expectations for Major Support and Resistance Zones depend on rules layered over the indicator. Users report win rates in the 60-75% range on tested pairs when entries are taken only when zones align with a higher timeframe trend. Average drawdowns in sample live runs were reported near 6-10% using conservative position sizing and fixed stop placement just beyond the zone boundary. Trade frequency varies by timeframe: on H4 and D1 you may see 8-30 trades per month, while M15-M30 setups produce higher frequency. Account requirements are modest; many traders run it on standard MT4 micro or standard accounts with a minimum balance of $1,000 for conservative sizing. Results are sensitive to timeframe selection and zone sensitivity settings, so combine with money management rules and a vetted broker to replicate published statistics.
Risk level for Major Support and Resistance Zones is moderate when combined with disciplined money management and conservative position sizing. Recommended stop loss strategy is to place stops slightly beyond the zone boundary or wick extremes to avoid frequent stop-outs; this typically means 10-40 pips on forex majors depending on timeframe. Position sizing should follow fixed risk-per-trade rules, for example 0.5-1.5% of account equity per trade to maintain drawdown control. The indicator is vulnerable during sudden news events and extended trend breakouts where established zones are invalidated. For live trading a recommended starting account size is $1,000 to $5,000 depending on leverage and target risk, with smaller accounts advised to use micro lots and tight risk limits when using Major Support and Resistance Zones.
Install the Major Support and Resistance Zones indicator files into the MT4 Indicators folder and restart the platform. Attach the indicator to your preferred chart and set history depth, zone sensitivity, and multi-timeframe confirmation parameters to test responsiveness. Recommended broker types are ECN or low-spread brokers to reduce slippage and to ensure clear candle wicks. Optimal chart timeframes are H1, H4, and D1 for lower noise and reliable zones; use M15-M30 for higher frequency strategies with tighter stops. Run robust backtests and forward demo testing for at least 60-90 trading days before committing real capital.
Compare Major Support and Resistance Zones with Alternatives
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| Metric | Major Support and Resistance Zones | 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 | 5,610 | 9,797 | 12,325 |
| Profit Factor | — | 1.56 | 1.83 | 1.27 | 1.15 | 1.74 |
| Active Accounts | — | 48 | 41 | 45 | 62 | 57 |
| 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
“I've been building things with code since middle school. I've been trading since university. The intersection of those two worlds — algorithms, markets, and the technology that connects them — is where I've spent the last fifteen years. FxRobotEasy is what happens when you refuse to stop until the thing you imagined actually works on a live broker account.”
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