
Ask most traders how they're doing and you'll hear one of two answers:
“I win most of my trades.”
Or: “My targets are always 3R.”
Neither tells you whether they're profitable.
Win rate and risk-to-reward only mean something together. This guide shows you how to calculate both correctly, how they interact, and how to use them to find your real edge.
Win rate is the percentage of your trades that close in profit.
Formula:
Win Rate = (Number of Winning Trades ÷ Total Trades) × 100
Example: You took 100 trades. 42 were winners.
42 ÷ 100 × 100 = 42% win rate
Decide how you'll treat trades closed at breakeven and stay consistent. Many traders exclude them from win rate and track them separately, so they don't inflate or deflate the number.
Risk-to-reward (R:R) compares how much you stand to make with how much you're risking.
There are two versions — and the difference matters.
What you intended when you entered.
Planned R:R = (Target − Entry) ÷ (Entry − Stop)
Example: Entry 1.1000, stop 1.0980, target 1.1060.
Reward = 60 pips. Risk = 20 pips. Planned R:R = 1:3
What you actually achieved across your trades.
Realized R:R = Average Win ÷ Average Loss
Example: Your average win is $300. Your average loss is $150.
$300 ÷ $150 = 1:2 realized R:R
Realized R:R is the one that pays you. Many traders plan for 1:3 but realize 1:1.5 because they exit winners early. Your trading journal reveals that gap.
Every R:R ratio has a breakeven win rate — the minimum percentage of wins needed to avoid losing money (before costs).
Formula: Breakeven Win Rate = 1 ÷ (1 + R)
If your actual win rate is above your breakeven win rate, you have a positive edge.
If it's below, you're losing money — no matter how good the win rate sounds.
Expectancy combines both numbers into one answer: how much you make per trade on average.
Formula:
Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss)
Using our example:
(0.42 × $300) − (0.58 × $150) = $126 − $87 = +$39 per trade
Over 100 trades, that's roughly +$3,900 — even though this trader loses more often than they win.
(0.70 × $100) − (0.30 × $300) = $70 − $90 = −$20 per trade
(0.35 × $300) − (0.65 × $100) = $105 − $65 = +$40 per trade
Trader A feels successful most days and slowly loses money.
Trader B loses most days and steadily grows the account.
This is why win rate alone is misleading.
If you risk the same amount on each trade, you can express everything in R.
A 42% win rate with an average win of 2R and average loss of 1R:
(0.42 × 2) − (0.58 × 1) = 0.84 − 0.58 = +0.26R per trade
R-based expectancy stays meaningful even as your account grows or your position size changes.
To keep your risk the same on every trade, size each position from your stop loss. Our free position size calculator works it out for forex, stocks, crypto and futures.
Usually one number improves at the expense of the other. Expectancy tells you whether the trade-off was worth it.
Clarity Tracking automatically calculates:
No formulas. No spreadsheets. Just accurate numbers.
A high win rate feels good.
A strong R:R sounds good.
But only the combination — expectancy — tells you if you're actually good.
Calculate both.
Track them honestly.
Judge yourself on expectancy.
That's the number that builds accounts.
It depends on your risk-to-reward. With an average reward of 2R, you break even at about 33% wins, so a 40% win rate can be profitable. With 1:1, you need more than 50%.
Many traders aim for at least 1:2, but what matters is your realized ratio across many trades, not your planned targets. A realized 1:1.5 with a solid win rate can be very profitable.
Multiply your win rate by your average win, then subtract your loss rate multiplied by your average loss. For example, (0.42 × $300) − (0.58 × $150) = +$39 per trade.