SuperStat: MT5 Dashboard Delivering Real-Time Trade Performance, Analysis, and Reporting

In this SuperStat review for 2026 the performance analysis focuses on how the dashboard converts raw trade logs into actionable trading results. SuperStat presents per-symbol win rates, average profit and loss, trade frequency, and equity curve snapshots that make comparative analysis straightforward. Created by Zheng Gang Sun for the MT5 platform, the utility is priced at $100 and categorized as a utility tool rather than an automated trading strategy. What makes SuperStat unique is its emphasis on clarity and exportability. Unlike EAs that try to open or close trades, SuperStat reads account history, computes advanced metrics such as profit factor, expectancy, and geometric mean returns, and produces one-click Excel reports with monthly and daily tables. The algorithmic backbone is focused on statistical aggregation and filtering: it groups trades by symbol, time window, and trade type, then applies consistent formulas to avoid common spreadsheet errors. Market conditions are not a limitation because SuperStat analyzes results across volatile and quiet regimes equally; it is best used when you have at least three months of trade history to generate reliable statistics. Risk management discussion is handled via reporting: SuperStat highlights largest drawdowns, consecutive loss streaks, and per-trade risk as a percentage of account. Expected performance characteristics depend on the underlying strategies being measured; in typical tests the tool exposed disparities that allowed traders to reduce drawdown by adjusting sizing. Traders using SuperStat report clearer decision-making thanks to transparent charts and exportable datasets for further modeling.

SuperStat is a performance reporting utility rather than a strategy, and typical metrics reflect the underlying trading system being analyzed. Users can expect win rate calculations presented as percentages with sample sizes, often showing ranges like 45–70% depending on strategy type. Drawdown management is described in absolute and percentage terms, with the dashboard flagging peak-to-trough equity declines and duration of drawdowns. Trade frequency is shown per symbol and per timeframe, ranging from a few trades per week on daily strategies to dozens per week for intraday systems. Account requirements relate to data volume: for reliable trading results SuperStat requires several dozen closed trades, and accuracy improves with 3–6 months of live history. Timeframe considerations are explicit in the interface, recommending H1 or higher for aggregated analytics while still supporting tick and M1 data for high-frequency strategies.

SuperStat itself is a moderate-risk utility because it does not trade but exposes risks within a trading account. The tool surfaces stop loss and take profit performance by summarizing SL-based exits and their impact on profitability. Position sizing approaches are not enforced by SuperStat but it reports size distributions and advises fixed fractional or Kelly-based calculations based on historical data. Vulnerabilities include over-reliance on short sample sizes and misinterpreting slippage during high-volatility news events. Recommended account size depends on the strategies measured; a conservative minimum for meaningful statistics is $1,000, while scaling insights become more reliable with $5,000 or more.

Install SuperStat by copying the Expert Advisor file into the MT5 Experts folder and restarting the platform. Attach the SuperStat EA to any chart and enable live account trade access in MT5 settings to allow it to read account history. Configure key parameters such as export path for Excel, minimum trade count, risk percentage display, and symbol filters before running. Choose an ECN or STP broker for accurate fills and use H1 or D1 timeframes for aggregated summaries. Test on a demo account for at least three months and run backtests across multiple periods before relying on exported analytics.