In Gainway, a "trade" refers to the current analysis unit: an individual trade, a group (e.g., by day/symbol/tag), or an idea — depending on the selected mode. All metrics on this page respect the global filters (date range, tags, accounts, symbols, etc.) — every statistic reflects only the filtered data.
P&L Metrics
Total P&L+−
Formula: Sum of (Exit Price - Entry Price) × Quantity × Point Value - Commissions - Fees
Description: Total profit or loss for the selected group/period. Positive = profit, negative = loss.
Use case: Bottom-line performance measure.
Avg Daily P&L+−
Formula: Total P&L ÷ Trading Days
Description: Average profit or loss per trading day.
Use case: Normalizes performance across different time periods.
Total Profit+−
Formula: Sum of P&L for all winning trades (P&L > 0)
Description: Total profit from winning trades only.
Use case: Component of Profit Factor calculation.
Total Loss+−
Formula: Sum of |P&L| for all losing trades (P&L < 0)
Description: Total loss from losing trades only (expressed as positive number).
Use case: Component of Profit Factor calculation.
Total Fees+−
Formula: Sum of Commissions + Fees for all trades
Description: Total transaction costs (commissions + exchange fees) for the period.
Use case: Cost analysis, broker comparison, net performance calculation.
Largest Win+−
Formula: Max(P&L) across all winning trades
Description: Single largest profitable trade.
Use case: Risk assessment, position sizing calibration.
Largest Loss+−
Formula: Min(P&L) across all losing trades
Description: Single largest losing trade (most negative P&L).
Use case: Risk assessment, stop-loss validation.
Avg Trade P&L+−
Formula: Total P&L ÷ Total Trades
Description: Average profit or loss per trade (same as Trade Expectancy).
Use case: Quick per-trade performance snapshot.
Win Rate Metrics
Win Rate+−
Formula: Winning Trades ÷ Total Trades × 100
Description: Percentage of trades that closed with a profit.
Interpretation:
- > 50% = more winners than losers
- > 60% = strong win rate
- Context matters: scalpers often have >60%, swing traders may be profitable at 40-50%
Use case: Basic consistency measure.
Win/Loss Count+−
Formulas:
- Winning Trades:
Count of trades where P&L > 0 - Losing Trades:
Count of trades where P&L < 0 - Breakeven Trades:
Count of trades where P&L = 0
Description: Breakdown of trade outcomes by count.
Use case: Understanding trade distribution, verifying win rate calculation.
Risk/Return Metrics
Profit Factor+−
Formula: Total Profit ÷ Total Loss
Description: How many dollars of profit per dollar of loss.
Interpretation:
- < 1.0 = losing strategy
- 1.0 - 1.5 = marginally profitable
- 1.5 - 2.0 = solid
- > 2.0 = elite
Use case: Primary risk-adjusted return measure. More robust than win rate alone.
Trade Expectancy+−
Formula: (Win Rate × Avg Winning Trade) - (Loss Rate × Avg Losing Trade)
Where:
- Win Rate = Winning Trades ÷ Total Trades
- Loss Rate = Losing Trades ÷ Total Trades
- Avg Winning Trade = Total Profit ÷ Winning Trades
- Avg Losing Trade = Total Loss ÷ Losing Trades
Description: Average dollar amount expected per trade.
- Positive = profitable edge
- Higher = better edge
- Allows comparing strategies with different win rates / payoff ratios
Use case: Strategy comparison, position sizing.
R:R+−
Formula: Avg Winning Trade ÷ Avg Losing Trade
Description: Risk-to-reward ratio — average winner size relative to average loser size.
Interpretation:
- > 1.0 = winners larger than losers on average
- Combined with win rate determines expectancy
- High R:R with low win rate can still be profitable
Use case: Trade setup evaluation, strategy design.
Avg Winning Trade+−
Formula: Total Profit ÷ Winning Trades
Description: Average profit per winning trade.
Use case: Component of expectancy and R:R calculations.
Avg Losing Trade+−
Formula: Total Loss ÷ Losing Trades
Description: Average loss per losing trade (expressed as positive number).
Use case: Component of expectancy and R:R calculations.
Trade Metrics
Total Trades+−
Formula: Total number of closed trades
Description: Count of all completed round-turn trades.
Use case: Sample size validation, activity level.
Winning Trades+−
Formula: Count of trades where P&L > 0
Description: Number of profitable trades.
Use case: Win rate numerator, trade distribution analysis.
Losing Trades+−
Formula: Count of trades where P&L < 0
Description: Number of losing trades.
Use case: Loss rate numerator, trade distribution analysis.
Total Volume+−
Formula: Sum of |Quantity| for all trades
Description: Total contracts traded (sum of absolute quantity).
Use case: Activity measurement, commission estimation.
Avg Daily Volume+−
Formula: Total Volume ÷ Trading Days
Description: Average contracts traded per trading day.
Use case: Activity normalization, capacity planning.
Points Metrics
Avg Points (Winners)+−
Formula: Average of (Exit Price - Entry Price) × Point Value for winning trades
Description: Average points (ticks) gained on winning trades, before commissions/fees.
Use case: Strategy edge measurement independent of contract size.
Avg Points (Losers)+−
Formula: Average of |(Exit Price - Entry Price) × Point Value| for losing trades
Description: Average points (ticks) lost on losing trades, before commissions/fees.
Use case: Stop-loss adherence, strategy edge measurement.
Hold Time Metrics
Avg Hold Time (All)+−
Formula: Average(Exit Time - Entry Time) per trade
Description: Average duration across all closed trades.
Use case: Trading style identification (scalping vs day trading vs swing).
Avg Hold Time (Winners)+−
Formula: Average(Exit Time - Entry Time) for winning trades only
Description: Average duration of profitable trades.
Use case: Identifying if winners are held longer (trend following) or shorter (scalping).
Avg Hold Time (Losers)+−
Formula: Average(Exit Time - Entry Time) for losing trades only
Description: Average duration of losing trades.
Use case: Detecting if losers are held too long (hope trading) vs cut quickly.
Avg Hold Time (Breakeven)+−
Formula: Average(Exit Time - Entry Time) for breakeven trades only
Description: Average duration of breakeven trades (P&L = 0).
Use case: Understanding noise trades, commission impact on quick flips.
Streak Metrics
Max Consecutive Wins+−
Formula: Longest sequence of consecutive winning trades
Description: Maximum number of winning trades in a row.
Use case: Psychological benchmark, strategy consistency check.
Max Consecutive Losses+−
Formula: Longest sequence of consecutive losing trades
Description: Maximum number of losing trades in a row.
Use case: Drawdown mental preparation, position sizing stress test.
Current Win Streak+−
Formula: Number of consecutive winning trades at end of period
Description: Active winning streak (resets on first loss).
Use case: Current momentum indicator.
Current Loss Streak+−
Formula: Number of consecutive losing trades at end of period
Description: Active losing streak (resets on first win).
Use case: Current drawdown context, tilt risk indicator.
Daily Metrics
Trading Days+−
Formula: Count of unique days with at least one closed trade
Description: Number of days on which trading occurred.
Use case: Activity frequency, daily metric denominators.
Winning Days+−
Formula: Count of days where daily net P&L > 0
Description: Number of profitable trading days.
Use case: Daily win rate calculation, consistency measure.
Losing Days+−
Formula: Count of days where daily net P&L < 0
Description: Number of losing trading days.
Use case: Daily loss frequency, risk management.
Avg Winning Day P&L+−
Formula: Sum of daily P&L for winning days ÷ Winning Days
Description: Average profit on profitable days.
Use case: Daily profit target setting, expectancy at day level.
Avg Losing Day P&L+−
Formula: Sum of |daily P&L| for losing days ÷ Losing Days
Description: Average loss on losing days (expressed as positive number).
Use case: Daily loss limit calibration, risk management.
Largest Profitable Day+−
Formula: Max(daily net P&L) across all trading days
Description: Single best day by net P&L.
Use case: Peak performance benchmark, outlier detection.
Largest Losing Day+−
Formula: Min(daily net P&L) across all trading days
Description: Single worst day by net P&L (most negative).
Use case: Worst-case daily loss, daily stop-loss setting.
Max Consecutive Winning Days+−
Formula: Longest sequence of consecutive days with net P&L > 0
Description: Maximum streak of profitable trading days.
Use case: Consistency measurement, confidence builder.
Max Consecutive Losing Days+−
Formula: Longest sequence of consecutive days with net P&L < 0
Description: Maximum streak of losing trading days.
Use case: Mental resilience test, drawdown duration estimate.
Current Day Loss Streak+−
Formula: Number of consecutive losing days at end of period
Description: Active losing day streak (resets on first winning day).
Use case: Current drawdown context, tilt risk.
Calculation Notes
How Statistics Are Calculated+−
- Timezone: All time-based calculations use your configured local timezone (Settings → Display & Theme).
- Filtering: All metrics respect active filters: Date range, tags (include/exclude), Account selection, Symbol selection, etc.
- Grouping: When "Group By" is applied, each metric calculates independently per group.
Related Pages
- Chart Guide - Chart types and configuration
- Tooltip Stats - Configure hover metrics