Average win / average loss

Your average win divided by your average loss is the payoff ratio — how many dollars a typical winning trade returns for every dollar a typical loser costs you. A payoff ratio of 2.0 means your winners are, on average, twice the size of your losers. It says nothing about how often you win; it only measures the size asymmetry between the two outcomes. Read alone it is incomplete, but paired with your hit rate it tells you whether the money you make is structurally durable or just a hot streak waiting to reverse.

How it's calculated

Split your closed trades into winners and losers, then average each group separately.

Say over 100 trades you booked $12,000 of gross profit across 40 winners and $6,000 of gross loss across 60 losers. Your average win is $12,000 ÷ 40 = $300. Your average loss is $6,000 ÷ 60 = $100. The payoff ratio is $300 ÷ $100 = 3.0 — winners run three times the size of losers.

Use gross figures (before commissions and swaps) to isolate the raw structure of your exits, then re-run it net of fees to see what actually lands in the account. Keep the sign convention consistent: average loss is quoted as a positive magnitude so the ratio stays a clean multiple.

Why it matters

The payoff ratio is only half of your edge. It multiplies with your win rate to produce trading expectancy — the average dollars each trade adds or subtracts over the long run. A high payoff ratio can rescue a low win rate, and a high win rate can carry a low payoff ratio, but neither number is safe to read in isolation.

Take the example above: a 40% win rate looks mediocre until you fold in the 3.0 payoff ratio. Expectancy per trade is (0.40 × $300) − (0.60 × $100) = $120 − $60 = +$60. You lose more often than you win and still print money, because the wins are big enough to more than pay for the frequent small losses.

That is the whole case for cutting losers fast and letting winners run. Every trade you exit early on the winning side shrinks your average win; every loser you let bleed past your stop inflates your average loss. Both push the ratio down and drag expectancy toward zero. Tightening stops and giving winners room widens the gap in your favor. This is exactly why disciplined traders think in R-multiples: if you consistently risk one R and let winners reach three R, your payoff ratio is baked in before the trade even resolves. Plan the asymmetry up front with a risk/reward calculator, then hold yourself to it at the exit.

The metric also exposes bad habits that a raw P&L curve hides. A payoff ratio drifting below 1.0 while your account still grows is a warning: you are surviving on win rate alone, and a normal cluster of losses will hurt more than the math suggests. Tradeways dashboards track average win and average loss side by side so you can watch the ratio move as your exit discipline changes, not discover it in a quarterly review.

Related concepts

The payoff ratio is one input to trading expectancy; the other is win rate. It is closely tied to profit factor, which weights the same wins and losses by their frequency, and it is the realized cousin of the planned reward-to-risk you set with R-multiples before entry. Read all four together and you get the full shape of your edge — how often you win, how big those wins are, and whether the whole thing compounds.