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Trade Expectancy
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Turn your win rate and average win/loss into the one number that decides whether a system makes money over time — expected value per trade — with profit factor, breakeven win rate, and a projected equity curve.

Free, no sign-up, no ads. Educational tool — not financial advice.

TL;DR

Expectancy is your average result per trade: E = win% × average win − loss% × average loss. Positive means the system makes money over many trades; zero or negative means no position sizing can save it. Win rate alone is meaningless without reward-to-risk — a 40% win rate at 2R beats a 70% win rate at 0.3R.

What expectancy actually measures

Expectancy is the average profit or loss you can expect per trade, given your win rate and the size of your average winner versus your average loser. It collapses an entire strategy into one number. If it is positive, every trade is — on average — worth taking; if it is negative, the strategy bleeds money no matter how you size positions.

You can measure wins and losses in dollars or in R (multiples of the amount you risk per trade). R is more portable: a system with +0.35R expectancy keeps that edge whether you risk $10 or $1,000 per trade. This calculator accepts both and converts using 1R = 1% of your account.

E = (win% × avg win) − (loss% × avg loss)

Win rate vs reward-to-risk: the breakeven line

A high win rate feels good but means nothing on its own. What matters is the combination of win rate and reward-to-risk (R). The breakeven win rate is the win rate at which a system exactly breaks even for a given R:

breakeven win% = 1 / (1 + R), where R = avg win / avg loss

At 2R you only need to win 33.3% of the time to break even; at 1R you need 50%; at 0.5R you need 66.7%. Your edge is how far your real win rate sits above that line. Profit factor — gross profit divided by gross loss — is another lens on the same thing: above 1.0 is profitable, above 1.5 is healthy.

Why a positive edge can still blow up

Positive expectancy is necessary but not sufficient. Real win rates and average win/loss drift — the 55% you backtested can be 48% live. And even a genuinely profitable system goes through losing streaks; if you size positions too aggressively, variance can ruin the account before the edge plays out. The simulated paths above show how widely outcomes scatter around the expected line.

That is why expectancy pairs with two other tools: the Monte-Carlo risk simulator shows your probability of ruin, and the Kelly criterion calculator tells you how much to risk so the edge compounds instead of killing you.

Frequently Asked Questions

What is a good trade expectancy?
Any positive expectancy is mathematically profitable, but you want a margin of safety. In R terms, +0.2R to +0.5R per trade is a solid, realistic edge; much higher usually means a small sample or curve-fitting. Pair it with a profit factor above 1.3 and a win rate clearly above the breakeven line.
What's the difference between expectancy in R and in dollars?
R expresses wins and losses as multiples of the amount you risk per trade, so the edge is independent of account size and position size. Dollar mode is concrete but only valid for the specific position size you used. This tool converts R using 1R = 1% of your account.
Is a high win rate good?
Not by itself. A 90% win rate with tiny winners and rare huge losers can be negative expectancy, while a 35% win rate with large winners can be very profitable. Always read win rate together with reward-to-risk and the breakeven win rate.
What is profit factor?
Profit factor is gross profit divided by gross loss across all trades. A value of 1.0 breaks even; 1.5 means you make $1.50 for every $1.00 lost. It is closely related to expectancy but expressed as a ratio rather than a per-trade amount.
Can a positive-expectancy system lose money?
Yes — over a small number of trades, variance dominates and you can be deep in drawdown even with a real edge. Over-sizing makes this worse and can cause permanent ruin. That's why you size with Kelly and stress-test with Monte-Carlo before trusting an edge.