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AlgoRadar: Real-Time On-Chart Trade Analytics for MT5 with Clear Performance Insights
MT5utility
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
Algorithmic TradingIntermediate
Key Features
Powerful capabilities designed for professional trading
Popular
Real-time on-chart analytics showing profit, drawdown and win rates
Key
Ranks multiple Expert Advisors to identify top-performing strategies
Key
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
Performance Analysis & Real Trading Results
Comprehensive analysis of real-world trading performance and statistical metrics
When assessing typical results with AlgoRadar installed, the metrics displayed are derived from the account trade history, so expected win rates and drawdown figures reflect the underlying Expert Advisors. Users commonly report observed win rates in the 40-70 percent range depending on strategy style, while AlgoRadar itself imposes no trading bias. Drawdown management is presented as absolute and rolling max drawdown values, allowing traders to see peak-to-valley exposures and correlate drawdowns with specific EAs. Trade frequency depends entirely on portfolio composition; some users monitor tens of trades per week while scalper-heavy portfolios can exceed hundreds. Account requirements are modest for the analyzer itself — any MT5 account with trade history works — but meaningful statistical readouts typically need at least 50-200 closed trades for reliable inference. Timeframe considerations are driven by the EAs being measured: AlgoRadar supports intraday M1-M15 portfolios as well as swing strategies on H4-D1 by adjusting analysis windows.
Risk Assessment
AlgoRadar Risk Assessment
Comprehensive analysis of potential risks and mitigation strategies
50
Risk Score
Medium Risk
Balanced approach with moderate risk-reward ratio
Risk Level50/100
ConservativeModerateAggressive
Risk Factors Breakdown
Drawdown Risk50%
Potential equity decline during losing streaks
Market Conditions55%
Sensitivity to market volatility and trends
Risk Management30%
Built-in protection mechanisms and controls
Overall Risk Level
Based on historical data and strategy analysis
Risk Factors Breakdown
Drawdown RiskMedium
Potential equity decline during losing streaks
Market ConditionsMedium
Sensitivity to market volatility and trends
Risk ManagementLow
Built-in protection mechanisms and controls
AlgoRadar is a moderate-risk tool in the sense that it manages information risk rather than market risk. The primary risk is reliance on historical trade tagging and account reporting quality; incorrect or inconsistent trade labels can lead to misleading rankings. Stop loss and trade-level controls remain the responsibility of the underlying EAs, but AlgoRadar helps identify which strategies habitually lose to tails or cluster drawdowns so traders can enforce tighter stops. Recommended position sizing is based on the analytics outputs: use the tool to compute empirical volatility and allocate capital using fixed fractional sizing or volatility parity. Vulnerabilities include thin data sets, broker-level reporting discrepancies and account time-sync issues. For practical use, start with a recommended analysis account sized at least $1,000 to $5,000 depending on strategy volatility so observed drawdowns map sensibly to real-dollar exposure.
Risk Mitigation Strategies
•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide
AlgoRadar Setup Guide & Installation
Step-by-step instructions to get AlgoRadar running on your MT5 platform
Estimated Time
5 minutes
Progress
0 / 1 Steps
1
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
MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size
Complete Installation Instructions
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.
Ready to Install?
Download AlgoRadar from the MQL5 Market
S
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.comRelated Categories
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