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Open the appGuidance last reviewed 2026-08-19
Every measure a trading journal is likely to show you, defined in one place.
Click any term to expand it. Where a measure has more to it than a definition, there is a link through to the full page.
If you are working through these for the first time, the order that makes them build on each other:
The sum of every trade's result. The number everyone looks at first and the least informative one available β it cannot tell you whether it came from one trade or a hundred. More
Winning trades divided by total trades. Says nothing about size: a 90% win rate can lose money and a 35% win rate can be excellent. Only interpretable alongside the payoff ratio. More
Average win divided by average loss. The other half of the win-rate picture β together they give expectancy. More
Gross profit divided by gross loss. Above 1.0 is profitable by definition. β Remove your best trade and recalculate β if it drops below 1.0, the record describes one good trade rather than a process. More
What one average trade is worth: (win rate Γ average win) β (loss rate Γ average loss). More useful than win rate or payoff ratio alone, because it combines both. Full page
The mean result of each group, kept separate. β οΈ Compare against the median β when the two diverge sharply, the average is describing a few outliers rather than a typical trade. More
The single best and worst results. Worth knowing mainly as a check: if the largest win is several times the next largest, most summary statistics are being carried by it.
Expectancy measured in units of risk rather than currency. Survives changes in account size, which dollar expectancy does not. More
The money put at risk on a trade β the distance from entry to stop, multiplied by size. π΄ Must be decided before entering; reconstructing it afterwards describes the outcome rather than the risk. Full page
A trade's result divided by its R. A trade making twice what it risked is +2R; one stopped as planned is β1R. β Losses beyond β1R mean the stop moved, which dollar P&L cannot show. More
The share of the account risked on any one position, usually 0.5%β2% by convention. Small because losses compound against you faster than gains compound for you. More
Risking a constant percentage of the account on every trade, so position size falls out of stop distance rather than being chosen. More
The difference between the price you wanted and the one you got. Shows up as results worse than β1R and belongs in the record rather than being rounded back to plan.
How far the account currently sits below its previous high-water mark. A new peak resets it to zero. Full page
The largest peak-to-trough fall in a record. β οΈ It is a lower bound on what to plan for, not an upper one β it grows with the length of the record even when nothing changes. More
How long the account spent below a previous peak. Rarely reported and often what decides whether someone keeps trading a method. More
The highest account value reached so far. Drawdown is measured from it.
Net profit divided by maximum drawdown. A rough read on how much the account produced relative to the worst stretch it went through.
The furthest a trade moved against you while open. Comparing MAE across winners and losers is how you find out whether a stop is wider than it needs to be. Full page
The furthest a trade moved in your favor while open. Large MFE with small results points at an exit rule rather than at discipline. More
Result divided by MFE β what share of the available move you kept. β οΈ 100% is not the target; it would mean every exit was the high tick. More
Van Tharp's score combining edge, consistency and sample size: (average R Γ· standard deviation of R) Γ βN. π΄ N is capped at 100 in his definition, which many descriptions leave out. Full page
Measures whether an equity curve rose steadily or in lucky lumps, by regressing the curve and comparing its slope to the scatter around it. β οΈ Three versions exist and they scale differently. Full page
Excess return divided by the standard deviation of returns. Universally understood, and it penalizes large winning periods exactly as it penalizes losses. More
Like Sharpe but counting only downside deviation, so upside volatility stops being a penalty. β οΈ Noisier, because it discards most of the sample. More
Annualized return divided by maximum drawdown β Calmar over 36 months, MAR since inception. The closest of these to what a person actually experiences. More
Return over the average of several large drawdowns rather than the single worst. β οΈ No agreed definition, so figures from different platforms are not comparable. More
A drawdown measure that counts duration as well as depth β the only common one that does. More
Uses the whole return distribution rather than summarizing it, so skew and fat tails are captured. β οΈ Requires a threshold, and is uninterpretable without it. More
Excess return divided by beta. Built for judging one holding inside a diversified portfolio, and usually the wrong tool for a single trading account. More
The number of trades every other statistic is estimated from. β The one that governs all the rest β twenty trades produce confident-looking numbers that are not measurements. Full page
How widely results scatter around their average. Appears in the denominator of Sharpe, SQN and most consistency measures.
Standard deviation counting only results below a target. The denominator of the Sortino ratio.
Whether results lean to one side. Positive skew β many small losses and rare large wins β is normal for trend following and is penalized by Sharpe and SQN alike.
Extreme results occurring more often than a normal distribution would predict. Common in trading returns, and the reason several of these measures were invented.
The plausible range around an estimate. A 60% win rate over 50 trades is consistent with anywhere from about 46% to 73% β a range wide enough to describe two different businesses. More
Testing several ideas and keeping the best-looking one. β οΈ Over small samples the winner is usually the luckiest rather than the best. More
Randomizing the order of your trades and redrawing the equity curve, repeatedly, to see what sequence alone can produce from a fixed set of results. More
The days US stock markets are closed or shut early, the rule behind each, and why futures and bond hours differ. Full page
Monthly and quarterly expiration, triple witching, VIX expiry, futures rolls, index rebalances and period ends β all calculable from published rules. Full page
The busiest stretch of the trading day, and the weeks each year when it shifts because US and European clocks disagree. Full page
Where a threshold is described as a rule of thumb it is a convention rather than a finding, and platforms differ in how they calculate several of these figures.
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