Win Rate: Half of a Number
Win rate is the share of trades that made money: winners divided by total trades. It is a count, so it ignores size. Paired with the average win against the average loss it tells you whether a method earns; on its own it tells you nothing at all.
A count of how often you were right, and nothing else. The half it leaves out decides the money.
How it works
Winning trades divided by total trades. If three of ten closed in profit, the rate is three in ten. It is a count, and counts ignore magnitude.
On its own it tells you almost nothing. It counts how often you were right and not one word about how much you made — the half that decides the outcome.
Because it says nothing about how big the winners were. Someone right nine times in ten who loses more on the tenth than the nine made holds a fine rate and a shrinking account.
The half nobody quotes
It only means something paired with reward to risk — the average win against the average loss. The two together fix break-even.
At one unit of reward for one of risk, break-even before costs needs one trade in two. At two for one, one in three; at three for one, one in four. Reverse it — one of reward for two of risk — and two wins in three merely stand still.
A ninety percent winner can lose money every month. High rates are manufactured by banking small profits and holding losses until they recover: the count rises, the average falls. Selling premium and averaging down both have that shape.
And twenty trades cannot measure it at all. Twenty is an anecdote with arithmetic attached. It cannot separate a working method from a broken one.
A genuine edge still produces long losing runs. If each trade is a coin flip, seven losses in a row has a 1-in-128 chance of starting on any given trade, and over 500 trades at least one such run is more likely than not. Trading psychology is mostly the study of what those runs do to a person — Mark Douglas’s whole subject.
In practice
Costs raise the rate you need before you start. Every round trip pays the spread and the commission, charged on winners and losers alike.
And participation changes the fills and the rate with them. Thin volume widens the spread you pay, so a rule measured in a quiet session is not the one you traded in a busy one.
A slow system takes years to produce a usable figure. A method trading twice a month gives no trustworthy sample this year, which is why backtesting exists and why overfitting is the trap inside it.
One gapped loss undoes a long run of wins. An opening gap fills your stop loss where the market opens, not where you put it, so the loss is larger than the count assumed.
Move the stop wider and the rate rises and the edge falls. A wider stop is hit less often, so more trades survive to close green, but each one that is hit now costs more — and a trailing stop set far enough away hands back much of what it was protecting before it acts.
So the number can be gamed. Widen the stop, tighten the take profit, and the rate rises while the account worsens.
Put the cost into the break-even sum. Risk 1.00 to make 2.00 with 0.10 of cost per round trip: the win nets 1.90, the loss costs 1.10, and break-even rises from one trade in three to 36.7%.
Record both halves in units of risk
Log every result as a multiple of what you risked, not as a sum of money. A trade that lost what you were prepared to lose is minus one; one that made twice that, plus two.
That single change makes both halves comparable. A trading journal kept this way lets you read the rate and the average result side by side, at any instrument or size.
Then average the whole column. That average is expectancy — the result per trade across the whole distribution — and what the win rate stood in for. A positive average with a low rate works; a high rate with a negative average only feels like it.
Fix risk per trade as a fraction first: the units only mean the same thing if the risk did.
What a win rate is not
It is not expectancy. Expectancy weights the rate by the average outcome; the rate weights nothing.
It is not the probability of your next trade. It describes trades already closed.
It is not evidence of skill. A wide enough stop lifts the rate of a poor method.
It is not comparable between traders. Two people with the same rate can hold opposite results.
How this connects
Losing runs follow from the rate, not from bad luck. A method right a third of the time will meet a long losing streak regularly, and the drawdown that produces is what the rate implies rather than a sign that something broke.
Risk of ruin joins the rate to size. The same rate at a larger risk per trade can end an account that would survive comfortably at a smaller one.
Styles trade rate against size. Mean reversion tends toward a high rate with smaller wins, while trend following accepts a low rate in exchange for occasional large ones.
Exits move the number directly. A close profit target and scaling out both lift the rate, and a trailing stop usually lowers it while letting winners run.
The wheel and the credit spread are the high-rate examples: premium collected often, losses rare and large, the exact shape described above.
A Sharpe ratio sees what the rate hides, because it weighs average return against its variability instead of counting wins.
And a trading signal service quoting a rate alone is quoting half a number. Paper trading its calls for a while supplies the average win and average loss it left out.
When it fails
The market did the work
In a range a mean-reversion rate looks spectacular. Fading the extremes of a trading range wins until the range ends — then one trade returns the lot.
The base rate was most of it
From 1950 to 2026 the S&P 500 closed higher on 53.1% of days and finished higher over 59% of ten-day windows. A long-only rate near those is the market, not a method.
The count excluded what was still open
Positions still open are often the losers being held. A rate computed on closed trades alone leaves them out, and a rule that omits open positions counts something else.
The stop moved after entry
Widening a stop mid-trade turns losses into wins often enough to flatter the count. It also turns a loss you accepted into one you did not — which risk management prevents.
The sample never grew
Twenty trades, a conclusion, a rebuild, then twenty more. Trade review is how a sample grows into something readable, and there is no shortcut.
The original data
The question: Eight wins in ten and a losing month. Why?
Scanning 24,971 video titles in the site’s video study, 169 discuss win rate — median 15,735 views, 136 channels, a maximum of 4,509,636. Win rate decides how a method feels; expectancy decides whether it earns.
And the S&P 500 sets the bar a long-side method must clear: 59% of its 19,290 ten-day windows from 1950 to 2026 ended higher. A claimed 60% on ten-day long trades in that market is one percentage point above doing nothing, and every round trip has to be paid out of that point. So never quote a win rate without the average win and the average loss beside it.
Related
Probability is what a win rate estimates, and why it needs a large sample.
Risk per trade fixes the denominator, so results log in units of risk.
And trade review is where both halves get read together.
I do not chase a high win rate. Chasing it makes you take profits early to protect the count and let losses run because closing them would spoil it, which is exactly backwards. Write the average win next to the average loss, and the pretty number stops hiding the ugly one.
— Michael Whitman
This page is educational, not financial advice. Test every idea on your own charts before risking money.