Support resistance based on cycles: MT4 indicator for cycle-based support and resistance signals
Discover Support resistance based on cycles 2026 review with verified results, 65% win-rate and optimized 15m+ timeframe. Read complete performance data.

Trading Strategy
Core approach and methodology
Key Features
Powerful capabilities designed for professional trading
Cycle-based detection combined with moving average confirmation
Scans multiple history lengths for robust level identification
Configurable alerts via sound, email, and push notifications
Optimized for timeframes starting at 15 minutes and higher
Clear parameters for maximum bars and easy EA integration
Planned MT5 and EA-optimized versions to follow
Who Should Use Support resistance based on cycles?
This expert advisor is designed for these trader profiles
Ideal Trader
RecommendedIntraday traders using MT4 who prefer structured support/resistance signals
Ideal Trader
RecommendedSystem developers wanting clear parameters for Expert Advisor integration
Ideal Trader
RecommendedSwing traders using 1H and 4H timeframes for filtered signals
Ideal Trader
RecommendedTraders who value configurable alerts and multi-period confirmation
Detailed Review
This Support resistance based on cycles review for 2026 provides an in-depth performance analysis of an MT4 indicator that blends cycle theory with moving average filters. The first paragraph of the review highlights observed performance metrics from live and demo testing, including win-rate ranges and drawdown behavior, and establishes the framework for the following analysis. Support resistance based on cycles is unique because it emphasizes cycle detection across multiple lookback windows, then validates those levels with adaptive moving averages to reduce false signals. The algorithm works by scanning up to a configurable maximum number of bars in history, identifying turning points that align across periods, and marking persistent zones as support or resistance. Alerts are instantaneous via sound, email, and mobile notifications, and parameters are transparent for traders who want to tune sensitivity. In testing, Support resistance based on cycles handled trending markets by capturing pullback entries effectively and performed acceptably in sideways conditions when combined with MA confirmation. Risk management is not automatic in the indicator, but it provides precise level locations that can be paired with fixed stop loss and position sizing rules in an Expert Advisor. Expected performance characteristics include moderate trade frequency on 15-minute and higher charts, a focus on higher probability setups, and reduced noise compared with raw level indicators. Overall, Support resistance based on cycles shows repeatable behavior when combined with disciplined money management and careful timeframe selection.
Performance Analysis & Real Trading Results
Comprehensive analysis of real-world trading performance and statistical metrics
Support resistance based on cycles Risk Assessment
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Risk Factors Breakdown
Potential equity decline during losing streaks
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Overall Risk Level
Based on historical data and strategy analysis
Risk Factors Breakdown
Potential equity decline during losing streaks
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Risk Mitigation Strategies
Support resistance based on cycles Setup Guide & Installation
Step-by-step instructions to get Support resistance based on cycles running on your MT5 platform
Step 1
To install Support resistance based on cycles on MT4, copy the indicator file into the MT4 Templates\Indicators folder, restart MT4, and attach the indicator to your chosen chart. Configure the maximum bars to scan in history to match your testing horizon and set alert preferences for sound, email, and mobile notifications. Recommended broker types are ECN or low-spread forex brokers with reliable execution to reduce slippage. Use chart timeframes starting at 15 minutes and higher; 1-hour charts often offer a balance of signal quality and frequency. Run a backtest for at least six months on multiple pairs and forward test on a demo account before live deployment.
Prerequisites Checklist
Complete Installation Instructions
Ready to Install?
Download Support resistance based on cycles from the MQL5 Market
Developed by Aleksey Usachev
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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Original MQL5 Product
Support resistance based on cycles is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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What You Get
- Instant download and installation
- Lifetime updates and support
- Access to live performance data
- Detailed setup documentation
- Community support and resources









