Trade Outcome, Expectancy and Edge Metrics

Total trades aggregates eligible records in the selected account, period, and filters.

Formula or calculation

Sum of the matching valid values.

Why it is useful

Provides the sample size or total exposure behind counts and hit rates for closed trades.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Winning trades aggregates eligible records in the selected account, period, and filters.

Formula or calculation

Count of matching eligible observations.

Why it is useful

Provides the sample size or total exposure behind counts and hit rates for closed trades.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Losing trades aggregates eligible records in the selected account, period, and filters.

Formula or calculation

Count of matching eligible observations.

Why it is useful

Provides the sample size or total exposure behind counts and hit rates for closed trades.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Breakeven trades aggregates eligible records in the selected account, period, and filters.

Formula or calculation

Count of matching eligible observations.

Why it is useful

Provides the sample size or total exposure behind counts and hit rates for closed trades.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The percentage of decisive closed trades that finished profitable.

Formula or calculation

Winning trades ÷ (winning trades + losing trades) × 100; breakevens are reported separately.

Why it is useful

Shows hit rate, but should be interpreted alongside payoff ratio and expectancy.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

Loss rate expresses the matching observations as a proportion of the eligible sample.

Formula or calculation

Matching eligible observations ÷ all eligible observations × 100.

Why it is useful

Makes counts and hit rates for closed trades. comparable across scopes and sample sizes.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The percentage of closed trades that produced no material net gain or loss.

Formula or calculation

Breakeven trades ÷ all closed trades × 100.

Why it is useful

Explains why trade counts and decisive win rate may tell different stories.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The number of active local dates whose combined eligible realised P&L was positive.

Formula or calculation

Count trading days where sum of eligible net closed-trade P&L > 0.

Why it is useful

Shows how many distinct active days added realised profit.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The number of active local dates whose combined eligible realised P&L was negative.

Formula or calculation

Count trading days where sum of eligible net closed-trade P&L < 0.

Why it is useful

Shows how many distinct active days produced a realised loss.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The number of active local dates whose combined eligible realised P&L was exactly zero.

Formula or calculation

Count trading days where sum of eligible net closed-trade P&L = 0.

Why it is useful

Keeps neutral days visible and explains the difference between daily win rate and profitable-day percentage.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The amount won for each unit lost across closed trades.

Formula or calculation

Gross profit ÷ absolute gross loss.

Why it is useful

Summarises the relationship between winning and losing outcomes; values above 1 indicate positive realised edge.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The average net amount the strategy made or lost per closed trade.

Formula or calculation

Total net trading P&L ÷ closed trade count.

Why it is useful

Estimates the realised value of taking one more statistically similar trade.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Expected outcome per trade expressed relative to account capital.

Formula or calculation

Average net trade P&L ÷ the approved starting-capital basis × 100.

Why it is useful

Allows expectancy to be compared across accounts with different balances.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The average winning trade relative to the average losing trade.

Formula or calculation

Average winning trade ÷ absolute average losing trade.

Why it is useful

Shows how much a typical winner pays for a typical loser.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The win rate required for the observed average win and loss to break even.

Formula or calculation

Absolute average loss ÷ (average win + absolute average loss) × 100.

Why it is useful

Makes it easy to compare the required hit rate with the trader’s actual hit rate.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

Win-rate edge over breakeven expresses the matching observations as a proportion of the eligible sample.

Formula or calculation

Matching eligible observations ÷ all eligible observations × 100.

Why it is useful

Makes the size and reliability of the realised trading edge. comparable across scopes and sample sizes.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

Average trade P&L is the arithmetic mean for eligible observations in the selected scope.

Formula or calculation

Sum of valid observed values ÷ number of valid observations.

Why it is useful

Summarises the typical level of trade p&l while reviewing the size and reliability of the realised trading edge.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The middle net P&L outcome after all eligible closed trades are ordered.

Formula or calculation

50th percentile of net closed-trade P&L; for an even sample, mean of the two central outcomes.

Why it is useful

Shows a typical trade result that is less distorted by a few extreme winners or losers than the average.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Average winning trade is the arithmetic mean for eligible observations in the selected scope.

Formula or calculation

Sum of valid observed values ÷ number of valid observations.

Why it is useful

Summarises the typical level of winning trade while reviewing the size and reliability of the realised trading edge.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The middle profitable net P&L outcome after eligible winning trades are ordered.

Formula or calculation

50th percentile of positive net closed-trade P&L; for an even winning sample, mean of the two central outcomes.

Why it is useful

Shows the typical winner without allowing an unusually large gain to dominate the estimate.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Average losing trade is the arithmetic mean for eligible observations in the selected scope.

Formula or calculation

Sum of valid observed values ÷ number of valid observations.

Why it is useful

Summarises the typical level of losing trade while reviewing the size and reliability of the realised trading edge.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The middle losing net P&L outcome after eligible losing trades are ordered.

Formula or calculation

50th percentile of negative net closed-trade P&L; for an even losing sample, mean of the two central outcomes.

Why it is useful

Shows the typical loss without allowing an unusually large loss to dominate the estimate.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Largest winning trade identifies the strongest or largest eligible observation in the selected scope.

Formula or calculation

Maximum valid observation after applying the selected account, period, and filters.

Why it is useful

Highlights the upper extreme and helps identify outsized drivers of the result.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

Largest losing trade identifies the strongest or largest eligible observation in the selected scope.

Formula or calculation

Maximum valid observation after applying the selected account, period, and filters.

Why it is useful

Highlights the upper extreme and helps identify outsized drivers of the result.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The sample variability of net closed-trade P&L around its average.

Formula or calculation

Square root of the unbiased sample variance of net trade P&L; requires at least two trades.

Why it is useful

Shows how widely individual outcomes vary, in the same currency units as trade P&L.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The squared dispersion of net closed-trade P&L around its average.

Formula or calculation

Sum of squared deviations from mean net trade P&L ÷ (trade count − 1); requires at least two trades.

Why it is useful

Provides the underlying dispersion used by standard deviation and higher statistical moments.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The net P&L value at or below which approximately 10% of closed trades fall.

Formula or calculation

Nearest-rank 10th percentile of ordered net closed-trade P&L.

Why it is useful

Provides a robust view of the poorer end of ordinary trade outcomes without selecting only the single worst trade.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The lower quartile of net closed-trade P&L.

Formula or calculation

Nearest-rank 25th percentile of ordered net closed-trade P&L.

Why it is useful

Marks the lower boundary of the middle half of outcomes and supports the interquartile range.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The upper quartile of net closed-trade P&L.

Formula or calculation

Nearest-rank 75th percentile of ordered net closed-trade P&L.

Why it is useful

Marks the upper boundary of the middle half of outcomes and supports the interquartile range.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The net P&L value at or below which approximately 90% of closed trades fall.

Formula or calculation

Nearest-rank 90th percentile of ordered net closed-trade P&L.

Why it is useful

Shows the stronger end of normal outcomes without relying only on the largest winner.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The spread of the middle 50% of net closed-trade outcomes.

Formula or calculation

Nearest-rank 75th percentile − nearest-rank 25th percentile.

Why it is useful

Measures typical dispersion while resisting distortion from extreme winners and losers.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The asymmetry of net closed-trade P&L outcomes.

Formula or calculation

Bias-corrected sample third standardized moment; requires at least three trades and non-zero variance.

Why it is useful

Shows whether unusually large outcomes tend to occur more strongly on the winning or losing side.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The tail heaviness of net closed-trade P&L relative to a normal distribution.

Formula or calculation

Bias-corrected sample fourth standardized moment minus 3; requires at least four trades and non-zero variance.

Why it is useful

Warns when unusually extreme trade outcomes occur more often than standard deviation alone suggests.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The root-mean-square size of profitable trade outcomes, with non-profitable trades contributing zero.

Formula or calculation

Square root of mean(max(net trade P&L, 0)²) across all closed trades.

Why it is useful

Shows the magnitude of favourable outcome variation without treating losses as upside.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The root-mean-square size of losing trade outcomes, with non-losing trades contributing zero.

Formula or calculation

Square root of mean(min(net trade P&L, 0)²) across all closed trades.

Why it is useful

Isolates harmful trade-outcome variation without presenting it as canonical daily-return downside risk.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The share of closed trades whose net P&L lies within one sample standard deviation of the average.

Formula or calculation

Trades where |net P&L − mean net P&L| ≤ sample standard deviation ÷ all closed trades × 100.

Why it is useful

Shows how tightly results cluster around the average and how representative that average is.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The number of closed trades outside robust Tukey outcome fences.

Formula or calculation

Count net P&L below Q1 − 1.5 × IQR or above Q3 + 1.5 × IQR; nearest-rank quartiles and at least four trades.

Why it is useful

Identifies samples where a small number of unusual winners or losers may dominate headline metrics.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The number of consecutive profitable trades at the end of the selected ordered trade sequence.

Formula or calculation

Length of the final positive-net-P&L run; a loss or breakeven closes the run.

Why it is useful

Shows whether the most recent eligible trades form an active winning run without implying that it will continue.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The number of consecutive losing trades at the end of the selected ordered trade sequence.

Formula or calculation

Length of the final negative-net-P&L run; a win or breakeven closes the run.

Why it is useful

Shows the length of the active losing run and can prompt process review without predicting the next outcome.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The longest uninterrupted run of profitable trades in the selected sequence.

Formula or calculation

Maximum positive-net-P&L run length ordered by close time and stable trade ID; breakevens break runs.

Why it is useful

Shows the strongest historical clustering of winning trades.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The longest uninterrupted run of losing trades in the selected sequence.

Formula or calculation

Maximum negative-net-P&L run length ordered by close time and stable trade ID; breakevens break runs.

Why it is useful

Shows the longest historical sequence of consecutive losses a trader had to withstand.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The average number of trades across completed or current winning runs.

Formula or calculation

Sum of positive-net-P&L run lengths ÷ number of winning runs; breakevens break runs.

Why it is useful

Shows the typical persistence of winning clusters rather than only the maximum.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The average number of trades across completed or current losing runs.

Formula or calculation

Sum of negative-net-P&L run lengths ÷ number of losing runs; breakevens break runs.

Why it is useful

Shows the typical persistence of losing clusters rather than only the maximum.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The number of consecutive positive active trading days at the end of the selected daily sequence.

Formula or calculation

Length of the final positive daily-P&L run ordered by local date; a losing or breakeven day breaks the run.

Why it is useful

Shows the active winning-day run without implying that it will continue.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The number of consecutive negative active trading days at the end of the selected daily sequence.

Formula or calculation

Length of the final negative daily-P&L run ordered by local date; a winning or breakeven day breaks the run.

Why it is useful

Shows the active losing-day run and its current persistence.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The longest uninterrupted run of positive active trading days.

Formula or calculation

Maximum positive daily-P&L run length ordered by local date; inactive dates are absent and breakeven days break runs.

Why it is useful

Shows the strongest historical clustering of profitable active days.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The longest uninterrupted run of negative active trading days.

Formula or calculation

Maximum negative daily-P&L run length ordered by local date; inactive dates are absent and breakeven days break runs.

Why it is useful

Shows the longest historical cluster of losing active days.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The largest combined net P&L produced by one uninterrupted winning-trade run.

Formula or calculation

Maximum sum of net P&L within a consecutive positive-outcome run.

Why it is useful

Shows the most valuable historical cluster of consecutive wins.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The most negative combined net P&L produced by one uninterrupted losing-trade run.

Formula or calculation

Minimum sum of net P&L within a consecutive negative-outcome run.

Why it is useful

Shows the monetary severity of the worst historical cluster of consecutive losses.

Interpretation note

Calculated only from eligible imported observations in the selected account, period and filters; missing source data or an insufficient sample can make it unavailable.

The share of gross positive P&L supplied by the single largest winning trade.

Formula or calculation

Largest positive net trade P&L ÷ gross positive net trade P&L × 100.

Why it is useful

Shows whether headline profitability depends heavily on one exceptional winner.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The share of gross positive P&L supplied by the five largest winning trades.

Formula or calculation

Sum of the five largest positive net trade outcomes ÷ gross positive net trade P&L × 100.

Why it is useful

Shows whether a small group of winners dominates profitable outcomes.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The share of gross loss supplied by the single largest losing trade.

Formula or calculation

Absolute largest negative net trade P&L ÷ absolute gross negative net trade P&L × 100.

Why it is useful

Shows how much one exceptional loss contributes to all losing outcomes.

Interpretation note

This identifies the leading returned segment in the selected sample; it does not prove that the segment caused the result. Check its trade count and repeatability.

The share of gross loss supplied by the five largest losing trades.

Formula or calculation

Absolute sum of the five most negative net trade outcomes ÷ absolute gross negative net trade P&L × 100.

Why it is useful

Shows whether a small group of losses dominates the account’s total losing outcomes.

Interpretation note

This identifies the leading returned segment in the selected sample; it does not prove that the segment caused the result. Check its trade count and repeatability.

The share of immediate successors to winning trades that are also winners.

Formula or calculation

Immediate winning successors ÷ winning trades that have a following eligible trade × 100; breakeven successors are non-wins.

Why it is useful

Shows whether wins tended to cluster in the selected history without claiming predictive causality.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The share of immediate successors to losing trades that are winners.

Formula or calculation

Immediate winning successors ÷ losing trades that have a following eligible trade × 100; breakeven successors are non-wins.

Why it is useful

Shows the historical frequency of an immediate profitable result after a loss.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The average net P&L of trades immediately following a winning trade.

Formula or calculation

Sum of immediate successor net P&L after wins ÷ wins with a following eligible trade.

Why it is useful

Shows whether outcomes immediately after wins were favourable on average.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The average net P&L of trades immediately following a losing trade.

Formula or calculation

Sum of immediate successor net P&L after losses ÷ losses with a following eligible trade.

Why it is useful

Shows whether outcomes immediately after losses recovered or extended losses on average.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The share of adjacent decisive trade pairs that switch between win and loss.

Formula or calculation

Adjacent win/loss pairs whose signs differ ÷ adjacent pairs where both trades are decisive × 100; breakeven-adjacent pairs are excluded.

Why it is useful

Shows whether decisive outcomes tended to alternate or cluster.

Interpretation note

The value can be unavailable when its denominator is zero or the eligible sample is too small. Compare the same account, period, timezone and filters.

The number of consecutive same-sign groups in the decisive win/loss sequence.

Formula or calculation

Remove breakevens, then count one plus every win-to-loss or loss-to-win transition.

Why it is useful

Supplies the observed run count used to assess whether wins and losses appear unusually clustered or alternating.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

A standardized Wald–Wolfowitz test statistic for the ordering of decisive wins and losses.

Formula or calculation

(Observed runs − expected runs) ÷ standard deviation of runs under independence; breakevens excluded and no continuity correction.

Why it is useful

Highlights unusually clustered or alternating outcomes, while requiring cautious interpretation for small samples.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The longest consecutive span containing no profitable trade.

Formula or calculation

Maximum run length where every trade is a loss or breakeven.

Why it is useful

Shows the longest historical wait between winning outcomes.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.

The longest consecutive span containing no losing trade.

Formula or calculation

Maximum run length where every trade is a win or breakeven.

Why it is useful

Shows the longest historical span that avoided a negative outcome.

Interpretation note

Sequence metrics depend on close-time ordering. Breakeven handling and a small number of decisive trades can materially affect the result.