A trading journal statistics calculator turns a plain list of your logged trade results into the core numbers professional traders actually track: win rate, profit factor, expectancy, maximum drawdown, and longest winning and losing streaks. Rather than calculating each of these separately, this tool computes all of them at once from a single list of trade outcomes.
Paste in your trade results, in Rand, in the order they occurred, and the calculator handles the rest, including the sequence-dependent statistics like drawdown and streaks that a simple average can't capture.
This calculator is for educational purposes only. Results are estimates and may vary depending on market conditions, spreads, commissions, platform settings, and exchange rates. It should not be considered financial advice.
Just a list of your individual trade results in Rand, one per trade, separated by commas. A win entered as a positive number, a loss as a negative one. Most trading platforms and journals let you export or copy this kind of list directly, or you can build it manually from your own records.
Most traders look for a minimum of 30-50 trades under genuinely consistent rules before treating statistics like win rate and profit factor as reasonably reliable. Fewer than that, and a single unusual winning or losing streak can distort the figures considerably, since the sample simply hasn't had time to average out.
There's no single universal benchmark, but a profit factor above 1.0 means gross wins exceed gross losses, the basic condition for profitability before costs. Many traders consider 1.5 or above a reasonably solid figure, while anything below 1.0 means the strategy, as logged, is a net loser regardless of how it feels in the moment.
Win rate and profit factor describe average performance, but they don't show how rough the ride was to get there. A profitable series that included one brutal losing streak might have a fine profit factor while still being genuinely difficult to trade through psychologically and financially. Drawdown captures that dimension, which the averages alone can miss.
Yes, for the streak and drawdown statistics specifically, since these depend on the actual sequence of wins and losses, not just the totals. Win rate, profit factor, and expectancy are unaffected by order since they're calculated from totals, but longest winning streak, longest losing streak, and maximum drawdown all depend on entering your trades in the order they actually occurred.
Yes, and it's often more useful that way. If you trade more than one strategy or setup type, calculating these statistics separately for each one, rather than blending everything into a single combined series, reveals which specific approach is actually doing the work and which might be quietly dragging down your overall results.
This tool calculates expectancy directly from your actual logged results, total profit and loss divided by number of trades, which reflects exactly what happened. A dedicated expectancy calculator instead projects expectancy from theoretical or assumed win rate and average win/loss inputs, which is useful for planning before you have real results, or for testing how a change in strategy parameters might affect expectancy going forward.
This is a common and worth-investigating gap. Check whether your logged results include realistic costs, spread, commission, slippage, since a series that looks solid before costs can look considerably less so after them. It's also worth checking whether your position sizing has been consistent across the sample, since inconsistent sizing, going bigger on trades that felt more confident, can produce a healthy-looking profit factor while your actual Rand results tell a less flattering story.
Generally, more trades produce more statistically reliable figures, many traders look for at least 30-50 trades as a starting reference point, with 100 or more considered more robust for drawing firm strategic conclusions.
Include every genuine trade taken under your normal strategy rules, selectively excluding unfavourable outcomes as 'outliers' introduces bias and can produce a misleadingly favourable statistical picture of your actual performance.
Regular review, weekly or monthly depending on your trading frequency, helps catch meaningful shifts in your statistics early, whether that's edge decay, a change in win rate, or drift from your original strategy rules.
Yes, arguably more, understanding the pattern and cause behind losing trades, whether they reflect normal strategy variance or genuine execution errors, is often more valuable for improvement than reviewing winning trades alone.
Risk-reward ratio, expectancy, maximum drawdown, and profit factor together paint a much fuller picture than win rate alone, a strategy can have a modest win rate and still be genuinely profitable with the right combination of these other figures.