WONNFX iSTATS Account Statistics: Automated MT5 Trading with Verified Results

WONNFX iSTATS Account Statistics review 2026 examines how this indicator presents trading performance and delivers a concise performance analysis for MT5 accounts. The first impression is that the indicator fills a gap left by the terminal: it compiles trades into meaningful summaries by day, week, month, quarter, and year while offering results in pips, lots, deposit currency, and percentages. This review considers both on-chart visibility and numerical transparency, and highlights the ability to compare timeframes side by side for quick decisions. What makes WONNFX iSTATS Account Statistics unique is its focus on account-level intelligence rather than signal generation. The indicator calculates aggregated profit/loss, win rate, average trade, and several risk metrics with minimal overhead. It uses trade history parsing and timeframe filters to compute statistics; users can toggle units and aggregation windows. The indicator handles trending and range-bound market conditions well for reporting purposes since it does not execute trades but summarizes outcomes from any strategy active in the account. Risk management emphasis is primarily informational: users receive drawdown measurements, percent exposure, and historical worst-case runs which support position sizing adjustments and stop loss policy updates. Expected performance characteristics depend entirely on the strategies feeding the account; iSTATS accelerates insight by showing results in clear, comparable formats. The author, Sergei Tsirat, provides an MT5-compatible solution aimed at traders who require evidence-based results and methodical workflow improvements.

Typical performance metrics reported by the indicator include win rate, average trade profit, cumulative profit per timeframe, and maximum drawdown. Users can expect reported win rates to reflect raw trade outcomes; iSTATS does not smooth or filter trades, so win rates are realistic and unaugmented. Drawdown management metrics are presented as both absolute amounts in deposit currency and percentage of equity, enabling objective assessment of risk. Trade frequency is not imposed by the indicator; it simply reports the number of trades per period, which helps determine whether a strategy produces frequent micro-trades or infrequent larger moves. Account requirements are minimal: any MT5 account with trading history is compatible, though recommended testing accounts should hold at least several hundred executed trades or multiple months of history for meaningful statistics. Timeframe considerations focus on analysis windows rather than chart timeframe: daily and monthly aggregations are most reliable for long-term performance signals, while hourly breakdowns reveal short-term behavior.

Risk level associated with using this indicator is inherently neutral because WONNFX iSTATS Account Statistics is informational rather than trade-executing. The stop loss strategy it supports depends on the trader; the indicator enhances stop loss decisions by showing historical worst-case drawdowns and average losing streaks. Position sizing approach recommended is to use displayed equity-at-risk metrics to set percent-per-trade limits and avoid exceeding historical max drawdown thresholds. Vulnerabilities include dependency on accurate trade history and potential misleading summaries if commission or swap settings are not standardized across accounts. Recommended account size should match the strategy being evaluated, but a practical minimum is $1,000 to $5,000 to produce statistically meaningful figures for typical forex strategies.

Install the indicator by copying the provided iSTATS file into the MT5 Indicators folder and refresh or restart the terminal. Attach WONNFX iSTATS Account Statistics to the desired chart and permit access to trade history when prompted. Configure key parameters such as aggregation window, display units (pips, lots, currency, percent), and the timeframe filters to match your analysis goals. Use brokers with accurate trade history reporting and standard commission/swap settings to ensure consistent metrics. Test on a demo or historical data for several weeks and at least 200 trades to validate reliability before relying on results for capital allocation decisions.