Understanding Trading Stats & Analytics

The Reports & Trading Stats panel in WebTrade provides objective, institutional-grade analytics on your trading history. By evaluating your execution patterns through mathematical metrics rather than emotional intuition, you can identify hidden strategy flaws, track drawdown resilience, and optimize risk-adjusted returns.

Key performance metrics explained

• Gross Profit: The total cumulative profit generated across all winning trades during the evaluated period.
• Gross Loss: The total cumulative loss incurred across all losing trades.
• Net P/L: The net realized financial outcome (Gross Profit - Gross Loss).
• Profit Factor: The ratio of Gross Profit to Gross Loss (Gross Profit / Gross Loss). A Profit Factor above 1.0 indicates overall profitability; professional trading systems typically target 1.5 to 2.0+.
• Balance: The closed account value after accounting for realized trades and funding transactions, excluding active floating P&L.
• Balance Drawdown: The maximum percentage decline in closed account balance from its highest recorded peak to its subsequent lowest trough. See Balance Drawdown.
• Equity Drawdown: The maximum percentage decline in total account equity (including active floating profit and unrealized loss) from its peak. This metric captures open-trade risk and market exposure. See Equity Drawdown.
• Recovery Factor: Measures how efficiently a strategy overcomes its worst drawdown period (Net P/L / Maximum Absolute Drawdown). A higher score demonstrates strong capital recovery.
• Sharpe Ratio: Measures risk-adjusted return relative to portfolio volatility. It illustrates whether returns are derived from smart strategic edge or excessive risk exposure. See Sharpe Ratio.
• Win Rate: The percentage of winning trades relative to total closed trades ([Winning Trades / Total Closed Trades] × 100). Note that a high win rate does not guarantee profitability if losses are significantly larger than gains.
• Avg. Orders Per Week: Evaluates trading frequency across active weeks (Total Orders / Number of Active Trading Weeks). Helps determine if a trader is overtrading during volatile market conditions.