Your Trading Statistics
1% 99%
Expectancy = (Win Rate × Avg Win) − (Loss Rate × Avg Loss)
Expectancy Per Trade
+$50
Positive Edge
Projected Monthly P&L
R:R & Edge Analysis
Load a Common Trading Profile

Click any card to load the scenario into the calculator.

Classic 1:2 R:R

50% win rate, $200 avg win, $100 avg loss. The standard textbook setup.

Exp: +$50/trade

High Win Rate Trader

62% win rate with smaller average wins — common for scalpers and momentum traders.

Exp: +$55/trade

Low Win Rate, High R:R

35% win rate but 3.3:1 reward-to-risk. Trend follower or swing trader style.

Exp: +$78/trade

Breakeven Zone

Wins slightly more often but average loss exceeds average win. Common early-stage trader trap.

Exp: -$2/trade

Negative Edge

Below 50% win rate and poor R:R. Very common pattern in new traders chasing trades.

Exp: -$29/trade

High Win Rate Trap

Wins 70% of the time but losers are 1.5x larger than winners. Feels good, bleeds money.

Exp: -$20/trade
Understanding Expectancy

What is Expectancy?

Expectancy is the average amount of money you can expect to make (or lose) per trade over a large sample size. A positive expectancy means you have an edge — you will make money if you execute consistently. A negative expectancy means even perfect execution will eventually lose money.

Unlike win rate alone, expectancy accounts for both how often you win AND how much you win vs lose. A trader with a 30% win rate can be highly profitable if average wins are 5× average losses.

What's a Good Expectancy?

$50+ / trade Excellent
$20–$50 / trade Good
$1–$20 / trade Marginal
Negative No Edge