Tell an experienced trader you made $400 on a trade and they'll ask exactly one follow-up question before reacting at all: "how much did you risk?" A $400 win on $2,000 of risk is a disappointing 0.2R. A $400 win on $200 of risk is an excellent 2R. The dollar figure alone carries almost no information — which is exactly why professional traders stopped measuring performance in dollars a long time ago, and started measuring it in R.
What R actually is
R is simply your result expressed as a multiple of what you risked on that specific trade. If you risk $100 to make $250, that's a 2.5R win. If you risk $100 and lose it, that's a -1R loss, by definition — you can't lose more than 1R if you honored your stop. A trade that hits break-even is 0R. The unit isn't dollars; it's "multiples of what I put on the line."
This single shift in unit solves a problem that dollar-based tracking can't: it makes trades comparable to each other regardless of account size, position size, or which specific setup produced them. A 2R win on a $500 account and a 2R win on a $50,000 account represent the exact same quality of decision-making, even though the dollar amounts are a hundred times apart. Dollars measure your account. R measures your process.
Why this matters more as your account grows
Here's where dollar-based journals actively mislead traders: your dollar P&L naturally grows as your account grows, even if your actual decision-making hasn't improved at all. A trader whose account doubled from $10,000 to $20,000 will see their average dollar win roughly double too — and it's tempting to read that as "I'm getting better." R strips that illusion out completely. If your average R per trade hasn't moved, you haven't actually improved as a trader; your account just got bigger. R is the metric that stays honest while your equity curve is busy flattering you.
This is exactly why mysetuplap computes rMultiple on every trade — win, loss or break-even — the same way, whether it's a $50 account or a funded $100k account: WIN maps to your realized RR, LOSS is always -1, BE is always 0. The math doesn't care what account it's attached to, because R was never supposed to.
Total R vs Net P&L: two numbers, two different jobs
A well-built trading dashboard shows both Total R and Net P&L, and they're answering different questions on purpose. Net P&L answers "how much money did I actually make or lose" — the number that matters for your bank account and your prop firm payout. Total R answers "how good were my decisions, independent of position size" — the number that matters for judging whether your process is actually working. A month where P&L is flat but R is strongly positive is a month where you traded well but sized conservatively. A month where P&L is up but R is roughly flat is a month where you got lucky on size, not skill — worth noticing before you mistake it for improvement.
Expectancy: the number R actually exists to produce
The entire reason to track R per trade is to eventually compute expectancy — your average R across a large enough sample of trades. Expectancy is the single number that answers "if I take 100 more trades exactly like these, am I likely to come out ahead, and by how much per trade?" A setup with a 40% win rate and an average 3R win can have a strongly positive expectancy despite losing more often than it wins, because (0.4 × 3) − (0.6 × 1) = +0.6R per trade on average. A setup with a 70% win rate and a 1:1 risk-reward has an expectancy of only (0.7 × 1) − (0.3 × 1) = +0.4R — objectively the weaker setup, despite "feeling" better because it wins more often.
This is precisely why win rate alone is such a dangerous metric to optimize for, and why R has to be the underlying unit expectancy gets built from — a topic worth its own deeper look, but the short version is: a setup isn't good or bad based on how often it wins. It's good or bad based on its expectancy in R, full stop.
How to start actually thinking in R
The habit shift is smaller than it sounds. Before you enter any trade, know your stop distance and know what 1R is in dollars for that specific position. When the trade closes, the first number you write down isn't the dollar P&L — it's the R multiple. Dollar P&L can be derived from R and account size anytime; R can't be reliably reconstructed after the fact if you didn't log your actual risk at entry.
Every trade you log in mysetuplap's Live Journal or Backtesting captures riskPct and RR specifically so this conversion happens automatically instead of by hand — R isn't a metric bolted onto your journal afterward, it's computed the same way, every time, from the moment you log the trade. Once you've tracked a real sample of trades in R, the dollar figures stop being the story. R is.
