What Is a Good Win Rate in Trading? Your Target Sets It, Not Your Skill

"Is 60% a good win rate?" is the most asked question in trading and it has no answer, because it is missing half of its own inputs.

The deeper problem is that the question assumes you pick a win rate. You do not. You pick an entry and a target, and the market decides how often price reaches that target before it reaches your stop. The win rate is the output. Aiming at one is aiming at a number you do not control, and every method of hitting it directly makes you less money.

This post works that through on a single set of trades, then covers the four ways a trader raises their win rate while their account shrinks, and what to measure instead.

One Setup, Seven Targets, Seven Win Rates

Take 100 trades from the same setup. Same entries, same 20-pip stop. Call that stop 1R. The only thing that changes is where profit is taken.

Of those 100 trades, here is how many got to each level before the stop was hit:

These are the same 100 entries in every row. Nothing about the trader's skill, discipline or market read differs between the first row and the last. Only the exit instruction changed.

Read the win rate column on its own and you would pick the top row. It is the highest number on the page by 13 points. It also makes 6.5R where the second row makes 16.0R, so the best-looking win rate in the table returns 40% of what the next one down returns.

Read it the other way and the popular advice fails too. "Never take a trade under 1:3" is a rule you will find in a hundred trading videos. On this strategy, 1:3 loses money. It loses money while producing a perfectly respectable 24% win rate that a trend follower would be pleased with, because on this particular setup price simply does not run that far often enough to pay for the 76 losers it costs.

The best row here is 58% at a 1:1 target, with 46% at 1.5R close behind. Neither is a number anyone would quote as a benchmark.

The Only Comparison That Means Anything

Every row above obeys one formula. Your break-even win rate is:

break-even win rate = 1 / (1 + R)

That is the same table derived in the expectancy post, and it is the line your win rate has to clear. Against it:

Now the 3R row explains itself. 24% is one point under its own break-even line, which is why it loses 4R over 100 trades. And 71% sits only 4.3 points above its line, which is why the highest win rate in the table barely pays.

The margin above the line is what matters, and it converts straight into money:

expectancy = (win rate minus break-even win rate) x (1 + R)

Check it on the 1.5R row: (0.46 - 0.40) x 2.5 = 0.15R per trade, which is exactly the +15.0R over 100 trades in the first table. It holds on every row.

That formula carries one consequence worth sitting with. A point of margin is worth more at a higher target, because it is multiplied by (1 + R). The 1.0R row has 8.0 points of margin and the 0.5R row has 4.3, but the gap in money is wider than the gap in margin, since each point at 1.0R buys twice what a point at 0.5R buys. So margin above the line tells you whether you are profitable. It does not by itself rank how profitable, and neither does win rate.

Four Ways to Raise Your Win Rate and Earn Less

The reason chasing a win rate is dangerous is that it is easy. Every lever below works. Every one of them shows up as a higher win rate within a week, and every one of them costs money.

1. Widen the stop

Keep the entry and the 20-pip target from the 1.0R row, but move the stop to 40 pips. Twelve of the 42 trades that previously stopped out now survive the drawdown and reach the target.

Win rate goes from 58% to 70%. Measured against the original 20 pips of risk, the sums are 70 winners at +1R and 30 losers at -2R, so +70R minus 60R is +10R, against +16.0R before. Twelve points of win rate bought a 38% cut in returns.

Halving position size to keep the dollar risk constant does not rescue it. The target is then worth 0.5R against a 1R stop, and 70 wins at +0.5R against 30 losses at -1R is +5R. Both versions land in the same corner of the table as row one: a high win rate that does not pay. Widening a stop and taking profit early are the same move wearing different clothes.

This lever is also the hardest to catch after the fact, because the widened stop is usually the only stop your records ever held. The R-multiple post covers why the most expensive habit in retail trading leaves no trace in the statistic meant to measure risk.

2. Take profit earlier

This is rows two through one of the table, run in reverse. Moving the target from 1.5R to 0.5R lifts the win rate from 46% to 71% and drops the return from 15.0R to 6.5R.

It feels like risk management because more trades close green and drawdowns feel shorter. It is a 57% pay cut.

3. Scratch trades and count them as wins

Take 100 trades: 40 winners, 50 losers, 10 closed flat. Exclude the scratches and the win rate is 40 / 90 = 44.4%. Count them as wins and it is 50 / 100 = 50%. Count them as losses and it is 40%.

A ten-point swing, and not one dollar changed hands. Pick one convention, apply it to every comparison you make, and be aware that anyone quoting a win rate at you has quietly picked their own. Profit factor cannot be moved by this choice at all, since a flat trade adds nothing to gross profit or gross loss, which is what makes it the better tiebreaker when two win rates disagree. The profit factor post works that through.

4. Add to losers

Averaging down converts small losses into small wins most of the time. Most of the time is the problem. The win rate rises steadily and the losses that remain grow a tail that eventually takes a large piece of the account.

Win rate is structurally blind to this, because it counts trades and ignores their size. That is the same blindness that makes it useless for detecting rule breaks: in the post on breaking your own rules, a rule broken one trade in five costs 6.3R while the win rate moves three points and signals nothing.

What to Check Instead

Measure the margin, not the number. Compute your average winner in R, get your break-even line from 1 / (1 + R), and look at the gap. A win rate below its own line is a losing strategy at 71%, and a win rate above its line is a working one at 24%.

Count the losses and check the sample. Win rate counts every trade equally, which is exactly why it moves on small samples. The bar from the sample size post is n = (2s / E) squared. At 0.16R per trade with a standard deviation of 1.0R, that is about 156 trades before the result separates from noise. Ten trades of drift can move a win rate ten points and mean nothing at all.

Never read a blended win rate across different targets. If some trades run to 3R and some are closed at 1R, the pooled win rate describes neither game. It is a mixture whose value depends on how many of each you happened to take, so it changes when your trade mix changes and tells you nothing about either strategy. Split it by target before reading it.

The Diagnostic Worth Keeping

Put win rate and the equity curve side by side over the same window.

Win rate up, equity flat or down. One of the four levers is running. Check stop distances first, then average winner in R, then your scratch count. This combination has no innocent explanation, and it is the single most useful thing win rate does, because no other headline metric moves this way.

Win rate down, equity up. You extended your targets and it worked. This is the pattern most traders talk themselves out of, because a falling win rate feels like decline while the account says otherwise. Believe the account.

Win rate flat, equity down. Costs, size, or sequencing, not selection. Your hit rate is intact and something downstream of it is taking the money.

What Win Rate Is Actually For

It is an input, not a verdict. Three jobs it does well:

• It is one of the two numbers the break-even comparison needs, and that comparison is the real test.
• It compares two slices of the same strategy at the same target honestly, since the convention and the exit plan cancel out. EUR/USD at 51% against GBP/USD at 38% on the same setup is a decision.
• It is the fastest detector of a change in your exits, because it reacts within a handful of trades while expectancy takes a hundred.

What it cannot do is tell you whether you have an edge, and no amount of context turns 60% into an answer on its own.

How This Works in TradingSFX

The win rate card on the dashboard is coloured against your own break-even line rather than a fixed threshold. It reads your average reward-to-risk, computes 1 / (1 + R), and turns amber inside ten points of that line and green only above it. A 38% win rate at a 3R average shows green. A 62% win rate at a 0.5R average does not. That is on the free plan.

Break-even trades have an explicit toggle: ignore them, count them as wins, or count them as losses. Every statistic on the page recomputes, so you can watch the ten-point swing happen and pick a convention on purpose instead of inheriting one.

For the target question the table at the top answers, the replay backtester is the tool. Load your own candles, run the same setup bar by bar, and record what each entry would have done at 1R, 2R and 3R before committing to an exit rule. Replay, practice trades and the live session scoreboard are open on every plan including the free one. Saving a practice trade into the journal with its notes, strategy and confluences attached is Pro.

Per-symbol and per-strategy win rates, each with its own break-even line, sit on Pro and above, as does the Confluence Report, which computes a break-even win rate per strategy from that strategy's own average winner so a 40% slice is never read as failing.

Basic is free forever at 10 trades a month with no card. Pro is $19.99/mo and Premium is $29.99/mo, both with a 7-day trial.

Bottom Line

There is no good win rate. There is your win rate, your average winner in R, and the line between them.

Work out your break-even rate, measure the gap, and check that the gap survives deleting your best trade. If you want the number to go up, the honest way is a better entry, because every other route runs through the four levers and all four of them cost more than they pay.

Next: the expectancy formula turns the gap into a dollar figure per trade, and profit factor gives you the one headline metric that a scratch-trade convention cannot move.

Published September 14, 2026. Every figure in this post is arithmetic worked openly from a stated illustrative 100-trade sample. No competitor pricing, survey data or study results are quoted, and no external statistics are cited. TradingSFX plan details were verified against the application code on 14 September 2026.