Win Rate Is Vanity, Expectancy Is Sanity: What R-Multiples Actually Measure

Ask a trader how they're doing and the first number you'll hear is almost always the same one: win rate. "I'm at 65%." It sounds good. It also tells you nothing about whether the account is growing.

Win rate counts how many trades closed green. It doesn't count how much they made or lost. A trader who wins nine trades at +$10 and loses the tenth at −$500 has a 90% win rate and a shrinking account.

What R actually is

R is the amount you agreed to lose on a trade — the cash value of your stop distance, decided before you enter. Risk $100 and 1R = $100. That trade making $250 is +2.5R. Hitting your stop is −1R.

The power of that translation is comparability. Risking $2,000 to make $400 (+0.2R) looks better in dollars than risking $300 to make $150 (+0.5R). In R, the second trade is two and a half times better.

Expectancy: the number that actually matters

Expectancy tells you what an average trade returns, expressed in R:

Expectancy = (Win rate × Avg win in R) − (Loss rate × Avg loss in R)

Two traders, 100 trades each, both risking 1R per trade:

Trader A wins almost every trade and makes eight times less money. Trader B loses more often than not and wins because the winners are bigger than the losers.

The hidden cost of chasing a high win rate

Optimizing for win rate isn't a neutral preference — it forces specific behaviors. Taking profit early, widening stops, holding losers because they'll "come back." All three raise the win rate and lower expectancy.

• Cutting winners early: average win shrinks, percentage climbs.
• Widening the stop: fewer losing trades, but the losses that land are enormous.
• Holding a loser: win rate survives, one trade erases a month.

None of these are visible unless you look at the record. The win rate stays green, so everything looks fine.

How to compute your own expectancy

1. 1List your last 50-100 closed trades. Less than that is noise, not signal.
2. 2For each, write down the risk at entry (stop distance × position size).
3. 3Divide the result by that risk: $180 on 1R of risk = +1.8R.
4. 4Average the winners' R and the losers' R separately.
5. 5Run the formula. Positive means you have an edge; near zero means commissions are eating it.

Doing this by hand takes about an hour for 100 trades, and it needs redoing every month. Syntra computes the R value as each trade is logged, then keeps expectancy, per-strategy breakdown and the R-distribution histogram on the analytics screen.

When win rate does matter

Win rate isn't a useless metric — it's a misplaced one. Read alongside expectancy it tells you about the shape of your system: a low-win-rate, high-R system demands you survive long losing streaks, while a high-win-rate, low-R system is far more fragile to a single undisciplined trade.

So the question isn't "how many did I win." It's "how much do I make when I'm right, and how much do I lose when I'm wrong." If you don't know those two numbers, you don't have a strategy — you have a habit.