Guide

WHY A 40% WIN RATE BEATS 70%.

Win rate and risk/reward are two halves of one number. Optimising either alone is how profitable-looking strategies lose money.
Short answer

The break-even win rate for a given risk/reward ratio is 1 ÷ (1 + R). At 1:1 you need 50%. At 2:1 you need 33.3%. At 3:1 you need just 25%. A 40% win rate at 3:1 is comfortably profitable, while a 70% win rate at 1:2.5 — where losses are bigger than wins — loses money.

The break-even table

For every risk/reward ratio there is a win rate below which you lose money and above which you make it.

Break-even win rate = 1 ÷ (1 + R)
# where R is reward divided by risk
Risk/rewardBreak-even win rateMeaning
1 : 0.566.7%Must be right two times in three just to hold even
1 : 150.0%A coin flip
1 : 233.3%Wrong two times in three and still flat
1 : 325.0%Wrong three times in four and still flat
1 : 516.7%Wrong five times in six and still flat

Anything above the break-even figure in its row is profit. This is why "I win most of my trades" is not a claim about profitability, and why some of the most profitable strategies in existence are wrong more often than they are right.

Where high win rates come from

A high win rate is easy to manufacture. Take profits quickly and give losers room, and your hit rate climbs immediately. Every trade that would have drifted to a small loss gets time to come back, and every trade that pops gets banked.

It feels excellent. The journal fills with green. And the arithmetic quietly turns against you, because you have raised the win rate by worsening the ratio — the exact trade-off the break-even table prices.

The reverse is equally true. Trailing stops and letting winners run will lower your win rate, because trades that were up 2% now get stopped at breakeven instead of banked. If you judge that change by win rate alone, you will conclude it made you worse.

The only comparison that matters

Your exit rule is what sets the ratio, so changing how you sell moves both numbers at once.

Neither number means anything alone. The pair does — and the honest test of any change to your exits is whether the pair improves together, which is exactly what expectancy measures.

# Banking winners fast
70% win rate, avg win +2.0%, avg loss −5.0%
(0.70 × 2.0) − (0.30 × 5.0) = −0.10% per trade

# Letting winners run
40% win rate, avg win +9.0%, avg loss −3.0%
(0.40 × 9.0) − (0.60 × 3.0) = +1.80% per trade

The second trader is wrong more often, feels worse day to day, and makes eighteen times as much per trade.

Why the psychology fights the maths

A 25% break-even win rate means losing streaks of five and six are routine, not evidence of a broken strategy. Most traders abandon a high-ratio approach during exactly such a run — usually to something with a higher hit rate, which feels better and pays less.

Knowing your break-even win rate converts that from an emotional question to an arithmetic one. At 3:1, four losses in a row is unremarkable. At 1:1 it is worth examining. Same streak, entirely different meaning, and the only way to tell them apart is to know which ratio you are actually trading.

Measure the ratio you have, not the one you intended

Most traders quote their planned risk/reward — the 3:1 they drew on the chart. The one that matters is the realised ratio: average win divided by average loss across every trade you actually took, including the ones you exited early and the ones where the stop slipped.

The gap between planned and realised is usually large, and it is where the edge leaks. A plan of 3:1 that realises at 1.2:1 needs a 45% win rate to work, not 25% — and you will not discover that from the chart you drew at entry.

Your realised risk/reward, not your intended one

TradePiko calculates your actual average win, average loss and risk/reward ratio from every trade you have taken — then lets you simulate a different exit rule across your whole history to see what the pair would have become.

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