AlgoRadar: Real-Time On-Chart Trade Analytics for MT5 with Clear Performance Insights
Discover AlgoRadar 2025 live on-chart analytics, verified win rates and max drawdown from MT5 accounts. Improve decisions with clear, fast trading metrics.

Trading Strategy
Core approach and methodology
Key Features
Powerful capabilities designed for professional trading
Real-time on-chart analytics showing profit, drawdown and win rates
Ranks multiple Expert Advisors to identify top-performing strategies
No external software required; runs entirely inside MT5 charts
Filters by symbol, timeframe and date range for targeted analysis
Live equity curve overlays and per-strategy trade tagging
Exportable CSV reports for further statistical or spreadsheet review
Who Should Use AlgoRadar?
This expert advisor is designed for these trader profiles
Ideal Trader
RecommendedSystematic traders who run multiple EAs and need clear comparisons
Ideal Trader
RecommendedPortfolio managers tracking combined EA performance across many symbols
Ideal Trader
RecommendedDevelopers validating strategy changes with live MT5 account metrics
Ideal Trader
RecommendedRisk-aware traders seeking transparent drawdown and win rate data
Detailed Review
This review of AlgoRadar in 2025 focuses on performance and analysis of on-chart trade analytics for MetaTrader 5 users. AlgoRadar stands out because it delivers live performance metrics directly on the trading chart, avoiding the need to open reports or external apps. Developed by Stephen J Martret, the tool is designed as a utility to evaluate and rank Expert Advisors, showing net profit, average trade, win rate and maximum drawdown per EA in real time. The interface overlays results alongside price action so context is preserved while reviewing results. The algorithmic approach behind AlgoRadar is not a trading strategy itself but a measurement layer that aggregates trade history, labels trades by EA and instrument, and computes rolling metrics using configurable windows. It is lightweight and event-driven, refreshing metrics when new trades close or on user-requested intervals. Because it is a diagnostics tool rather than an execution engine, AlgoRadar performs best on accounts with consistent trade tagging and stable gateway timestamps; it is particularly useful in backtest-to-live comparisons and for multi-EA portfolios that trade across different timeframes. Expected performance characteristics are a function of the EAs under review rather than AlgoRadar itself. In practice the utility reduces analysis time by 70-90 percent compared with manual report gathering, helps uncover drawdown correlation across EAs, and supports quicker reallocation decisions. For developers and traders who need rigorous statistical context before scaling, AlgoRadar is a pragmatic addition to an MT5 workflow.
Performance Analysis & Real Trading Results
Comprehensive analysis of real-world trading performance and statistical metrics
AlgoRadar Risk Assessment
Comprehensive analysis of potential risks and mitigation strategies
Balanced approach with moderate risk-reward ratio
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
AlgoRadar Setup Guide & Installation
Step-by-step instructions to get AlgoRadar running on your MT5 platform
Step 1
Install AlgoRadar by placing the indicator file into your MT5 Experts or Indicators folder and restarting MetaTrader 5. Attach the AlgoRadar indicator to any chart and grant it access to account history in the settings panel. Configure key parameters such as analysis window length, aggregation by EA name, refresh interval, and which metrics to display (net profit, win rate, drawdown). Use a stable ECN or STP broker with reliable history export for best results. Optimal chart timeframes depend on the EAs you run; use M15 for intraday portfolios and H4 for swing portfolios. Begin with a demo or small live account and run at least 50-200 closed trades to validate the setup before scaling.
Prerequisites Checklist
Complete Installation Instructions
Ready to Install?
Download AlgoRadar from the MQL5 Market
Developed by Stephen J Martret
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
AlgoRadar is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
View on MQL5.comGet Started with AlgoRadar
Join hundreds of traders already using AlgoRadar for automated trading success.
What You Get
- Instant download and installation
- Lifetime updates and support
- Access to live performance data
- Detailed setup documentation
- Community support and resources









