Available Statistics

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

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.

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.

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.

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.

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.

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.

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.

Avg <Rating Tag Type>

Formula: Average of all ratings (1–5) set for that tag type across the filtered trades

Description: Mean star rating for a Rating-format tag type, shown to one decimal (e.g., 3.8). Unrated rows are excluded, so they never drag the average down; displays "—" when nothing is rated yet.

Use case: Trade quality scoring — e.g., a Confidence rating type averaged across the current filter shows whether you perform best when confidence is high.

Where it appears: Single Stat cards ("Avg Confidence") and Analytics Data Table columns ("Name Avg Rating", "Name %").

Checked % (Checkbox Tag Types)

Formula: Checked rows ÷ Total rows in the group × 100 (rounded)

Description: Share of rows marked checked for a Checkbox-format tag type, aggregated per data-table row group.

Use case: Discipline tracking — e.g., percentage of setups where "Followed Plan" was checked, per day window or tag group in an Analytics Data Table card.

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.