Ask a struggling trader how they're doing and they'll tell you a dollar figure. Ask a good one and they'll tell you their expectancy in R. The difference is the whole game. Dollars are a noisy, misleading way to judge trades — a $500 win on a huge position and a $500 win on a tiny one are not the same accomplishment. Measuring in R-multiples fixes that, and a simple journal built on R turns your trading from a feeling into a measurable process you can actually improve.
What an R-multiple is
R is the amount you risked on a trade — the distance from entry to stop, times your position size. That's your 1R. Every result is then measured as a multiple of it:
- Risked $200, made $600 → +3R
- Risked $200, lost the full stop → −1R
- Risked $200, exited early for $100 profit → +0.5R
Because R normalizes to what you risked, a trade's R-multiple is comparable across any position size, ticker, or timeframe. The R-multiple calculator scores a closed trade from your entry, stop, and exit in seconds.
Why R beats dollars
Dollars conflate two things: how good the trade was and how big the position was. If you judge yourself in dollars, you'll unconsciously conclude that your "best" trades were just your biggest positions — which quietly pushes you toward over-sizing. R strips size out of the picture. A string of trades measured in R tells you the truth about your system: are your winners consistently bigger than your losers in risk terms? That's the only question that matters, and dollars hide the answer.
Expectancy: the number a journal is built to find
Once your trades are in R, you can compute expectancy — your average R per trade:
Expectancy (R) = (Win rate × Avg win in R) − (Loss rate × Avg loss in R)
Positive expectancy means the system makes money over many trades; negative means it bleeds, however good any single trade felt. This is covered in depth in the risk/reward and expectancy guide — journaling is simply how you measure your real, live expectancy instead of guessing at it.
The minimum viable trade journal
You don't need fancy software. For every trade, log:
- Entry, stop, exit — the raw numbers.
- R-multiple — the result in units of risk.
- Setup / reason — why you took it (the tag that lets you group later).
- Execution note — did you follow your plan, or did you move the stop / size wrong / chase?
After 30–50 trades, patterns appear that are invisible in the moment: one setup carries all your positive expectancy while another quietly loses; your biggest losses cluster around the times you broke your own sizing rules. That's the payoff — the journal doesn't just record the past, it tells you what to do more of and what to cut.
Start scoring your closed trades in R with the R-multiple calculator, keep the four-column log, and within a couple of months you'll know — not feel, know — whether you have an edge and where it lives.