What your winning trades have in common
Trading education is overwhelmingly about losses. Cut them fast, keep them small, tag your mistakes, review what went wrong. All correct, all necessary — and all of it only teaches you what to stop doing.
Almost nobody studies their winners with the same rigour. Which is strange, because for most traders a very small number of trades produces essentially all of the profit.
Profit concentration
Rank your winning trades from largest to smallest and plot the cumulative share of gross profit. The result is almost never a straight line.
A typical outcome: the top 20% of winners produce 55–70% of everything you made. Sometimes a single trade is 20% of the year.
The Winner Analysis page draws this curve directly, with a dashed diagonal showing what "every winner contributed equally" would look like. The gap between the two lines is the whole point.
If a handful of trades carry your account, then cutting one runner early is not a small mistake. It's not one trade's worth of damage — it's a meaningful share of your annual return.
This reframes a decision every swing trader faces weekly. When a position is up 2R and wobbling, "take the money" feels prudent. Concentration data says the opposite: those wobbling 2R positions are the raw material of your 6R outliers, and you cannot tell them apart in advance.
Big winners vs everything else
The page splits your winners into the top 20% and the rest, then compares them side by side:
| Measure | What a difference tells you |
|---|---|
| Days held | If big winners were held 2–3× longer, patience — not selection — is producing your outliers |
| Average R | The size of the gap between your best and your merely-good trades |
| MFE capture | Whether you exit your biggest movers well, or only your small ones |
| MAE ÷ stop | Whether your best trades had to survive a deep dip before working |
That last row is the uncomfortable one. If your biggest winners routinely dipped to 80% of your stop distance before turning, then a tighter stop — the thing you keep considering — would have eliminated most of your best trades.
Does holding longer actually pay?
Every winner plotted by days held against R returned. If the cloud rises to the right, time in the trade is your edge and your exits are premature. If it's flat, your returns come from selection and holding longer just adds risk without adding return.
Both are useful answers. Only one of them is the one people assume.
Which setups produce the outliers
Your setup scorecard already tells you which setups are net profitable. This asks something different: which setups produced your biggest trades?
These often disagree. A setup can have a 70% win rate, a positive net P&L, and never once produce a 4R trade — a reliable base hitter. Another can win 45% of the time and account for three of your five best trades ever.
Both belong in your playbook. But knowing which is which tells you where to size up, where to be patient, and which setup to protect from casual experimentation.
The findings, written out
At the bottom of the page, the conclusions are generated in plain English from your own numbers — the concentration figure, the hold-time comparison, the setup that produced your best trades, how deep they dipped, and how much of the peak you captured.
Not interpretation, and not advice. Just the arithmetic said out loud, so the pattern is impossible to miss on a tired Sunday evening.
Why this matters more as you improve
Early on, most of your improvement comes from removing errors — oversizing, revenge trades, ignoring stops. Loss analysis drives that, and it works.
Past a certain point the errors are mostly gone, and further improvement has to come from getting more out of the trades that already work. That's a different question, and it needs different data.