Most traders focus on win rate. "What percentage of my trades win?" But win rate alone tells you nothing. A trader with a 70% win rate can lose money. A trader with a 35% win rate can get rich. The statistic that actually matters is expectancy.

Expectancy is the expected return per unit of risk across a large number of trades. It's the only way to know if your strategy is structurally profitable — or if you've just been lucky.

Expectancy in one formula

The formula

Expectancy = (Win rate × Average win) − (Loss rate × Average loss)

A positive expectancy means your strategy is profitable over a large enough sample of trades. A negative expectancy means you'll lose money in the long run — no matter how good a certain week felt.

How to calculate expectancy

Say you have the following statistics over the last 100 trades:

Win rate45%
Average win per trade$200
Loss rate55%
Average loss per trade$100
Expectancy(0.45 × 200) − (0.55 × 100) = +$35

This means you earn an average of $35 per trade, regardless of any individual trade's outcome. Over 100 trades, this system produces $3,500 — even though you lose 55 out of 100 trades.

Expectancy per unit of risk (R-multiple)

An even more useful version is the R-multiple: expectancy expressed as a multiple of the risk per trade (R). This allows comparison between strategies with different position sizes.

Risk per trade1R = $100
Average win2R = $200
Expectancy in R(0.45 × 2R) − (0.55 × 1R) = +0.35R

An expectancy of +0.35R is healthy. Anything above +0.2R is a working strategy. Anything below 0 is a losing strategy in the long run.

Why win rate is misleading

Many beginner traders chase a high win rate. But a high win rate means nothing without context:

Example A — 70% win rate

Win rate 70%, avg win $50, avg loss $200.
Expectancy = (0.70 × 50) − (0.30 × 200) = −$25 per trade. Losing despite high win rate.

Example B — 35% win rate

Win rate 35%, avg win $300, avg loss $100.
Expectancy = (0.35 × 300) − (0.65 × 100) = +$40 per trade. Profitable despite low win rate.

How to improve expectancy

There are three levers:

Lever 1: Increase win rate

Improve your entry criteria so you only take the highest-quality setups. Fewer trades, better quality. This raises your win rate without shrinking your RR.

Lever 2: Improve risk-reward

Let winners run longer (trail your stop, use multiple targets), and stop losers on time (hold your stop, don't move it). This grows your average win or shrinks your average loss — both improve expectancy.

Lever 3: Eliminate off-plan trades

Trades taken outside your plan almost always have negative expectancy. By only taking trades that meet all your criteria, you automatically remove the biggest losers from your statistics.

How many trades do you need for reliable expectancy?

Expectancy based on 10 or 20 trades is nearly worthless — the sample is too small. Rule of thumb: you need at least 100 trades for a meaningful indication, ideally 200–300.

This is also why it's so dangerous to adjust your strategy after a short losing streak. You can't draw any valid conclusions about expectancy from 15 trades.

Conclusion

Expectancy is the most honest measure of your trading strategy. It combines win rate and risk-reward into one number that tells you whether your system is profitable over a large enough sample. Calculate it, improve it, and use it as your anchor for decisions — not feelings, not a short losing streak.

Frequently asked questions

What is a good expectancy in trading?
Anything above 0 is technically profitable. In practice, you want at least +0.2R to cover transaction costs and slippage. Professional traders aim for +0.3R to +0.6R per trade.
Does expectancy change with market conditions?
Yes — most strategies perform better in specific market conditions (trending vs. ranging). By tracking expectancy per market type, you can deploy your strategy only when conditions are favorable.
Can transaction costs make expectancy negative?
Absolutely. Spread and commission eat into profits with small targets. If your risk is $100 and your target is $120, but the spread costs $15 per trade, your effective profit drops to $105 — turning a marginally positive strategy into a loser.

Read also: How to analyze your trading journal · Why traders break their rules · Trading discipline guide

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