How much do you need to win, and how much can you afford to risk to get there? A reward to risk ratio answers the second half of that question and quietly sets the first. It compares the profit you're aiming for against the loss you'll take if the trade fails. That comparison fixes your break-even win rate before you place a single trade. A 1:1 ratio needs you right 50% of the time. A 2:1 ratio needs 33.3%. A 3:1 ratio needs 25%. Here is the proof.
A reward to risk ratio measures one thing: the distance from your entry to your target against the distance from your entry to your stop. It does not measure the odds of reaching either one. That split matters, because traders often treat a good ratio as a good trade. It isn't. A setup with a 3:1 ratio can still lose if the market reaches your stop first, and a 1:1 trade can still win. A ratio is a plan for a trade. It doesn't predict whether the trade wins.
What a reward to risk ratio measures
Write it as reward first, risk second. Risk $100 to make $300 and your ratio is 3:1. Risk $100 to make $50 and it's 0.5:1. Some platforms write this the other way around, risk to reward, so the same trades appear as 1:3 and 1:0.5. The number is the same either way. What changes is what it tells you.
The ratio sets how often you must be right to do no more than break even. Ignore costs for a moment and the maths is short. Lose one unit when you're wrong, win R units when you're right, and your break-even win rate is 1 divided by (R + 1). Higher reward per unit of risk lowers the win rate you need.
The break-even win rate for every ratio
Here is the table to work from. The win rate is the share of trades that must win for the strategy to break even, with no costs counted.
| Reward to risk | Break-even win rate | Wins needed per 100 | One winner covers |
|---|---|---|---|
| 0.5:1 | 66.7% | 67 | half a loss |
| 1:1 | 50% | 50 | one loss |
| 1.5:1 | 40% | 40 | 1.5 losses |
| 2:1 | 33.3% | 34 | two losses |
| 3:1 | 25% | 25 | three losses |
| 4:1 | 20% | 20 | four losses |
Read the 3:1 line and the 1:1 line together. At 3:1 you can lose three trades for every winner and stay level. At 1:1 you can only lose one. Same market, same trader, very different room for error. That room is why so many funded traders set a minimum ratio before they look at a chart. It is also why the ratio you choose has to fit the win rate your strategy actually delivers, not the one you hope for.
Why 1:1 keeps more than 50%
Costs change the break-even point, and they land hardest on low ratios. Every trade pays the spread, and where your instrument charges them, commission and slippage. Those costs come out of your reward and add to your loss, so the reward you keep is smaller and the loss you take is larger than the chart shows.
Express the cost as a share of the risk you take. If trading costs come to 0.1R on each trade, the break-even win rate becomes (1 + 0.1) divided by (R + 1). The table below shows what that does to the numbers.
| Reward to risk | Break-even, no costs | Break-even, 0.1R costs |
|---|---|---|
| 1:1 | 50% | 55% |
| 1.5:1 | 40% | 44% |
| 2:1 | 33.3% | 36.7% |
| 3:1 | 25% | 27.5% |
A 1:1 trader who wins 52% of the time looks profitable. Once costs are counted, break-even has moved to 55%, so that 52% win rate sits below the line. The same cost adds 2.5 points to the 3:1 break-even, which leaves comfortable ground. Costs are identical on every trade regardless of the outcome. They shrink the edge, and the thinner the reward, the more they bite.
Expectancy decides whether you make money
The ratio and the win rate are inputs. Expectancy is the output, and it tells you whether the strategy makes money. Written in risk units, expectancy is your win rate times your reward, minus your loss rate times the one unit you lose:
E = (win rate × reward) - (loss rate × risk)
Positive expectancy grows the account over a large number of trades. Negative expectancy empties it, no matter how good any single trade felt. Break-even is the win rate where expectancy is zero, which is exactly the column we built above.
Run two traders side by side. Both trade a $30,000 account and risk 1% ($300) per trade over 100 trades.
Trader A takes 2:1 setups at a 40% win rate. Wins return $600 each: 40 × 600 = $24,000. Losses cost $300 each: 60 × 300 = $18,000. Net before costs: +$6,000. Expectancy is 0.4 × 2 - 0.6 × 1 = 0.2R, or $60 a trade. The break-even at 2:1 is 33.3%, so this trader sits 6.7 points above it.
Trader B takes 1:1 setups at a 52% win rate. Wins return $300 each: 52 × 300 = $15,600. Losses cost $300 each: 48 × 300 = $14,400. Net before costs: +$1,200. Now subtract 0.1R a trade in costs, $30 × 100 = $3,000. Net after costs: -$1,800. Trader B was right more often and still finished down.
Trader B won more trades and handed the surplus back in costs. Trader A won fewer and kept it, because the risk was fixed before the entry. Setting risk before the trade is the practice behind risk management for funded traders.
How partial exits change your ratio
Most exits aren't all or nothing. Close half at your first target and let the rest run, and your average reward moves. The planned ratio stops being the ratio you trade.
Take a 2:1 trade. You plan to risk 1R to make 2R. Instead you close half at 1R and half at 2R. The average reward is 0.5 × 1R + 0.5 × 2R = 1.5R. Your effective ratio is now 1.5:1, and the break-even win rate moves from 33.3% to 40%. Locking in the first half felt safe, and it also raised the win rate you need.
Push it further. Close half at 1R, then let the rest fall back to your entry and close at 0R. Average reward is 0.5 × 1R + 0.5 × 0R = 0.5R. The effective ratio is 0.5:1 and the break-even win rate jumps to 66.7%. A trade that looked like a 2:1 winner on the plan became one you need to win two times out of three. There is a longer look at that trap in problems with scaling out.
Partial exits aren't wrong. They change the maths, and you should price that change before you set them. If you take half off at 1R, your minimum win rate rises, so your entry filter has to get stricter to compensate.
How prop firm rules fit the ratio you choose
Your own money and firm money don't answer to the same rules. A funded account carries a profit target and a loss limit, and both interact with the ratio you trade.
Take the SFX Funded 2-Step Challenge. Sizes run from $7,500 to $180,000, entry starts at $39 under the current promotion, and the targets are 8% then 5%. The daily loss limit is 4% and the maximum loss is 8%. There is no time limit, and the split runs from 85% to 100%. On a $30,000 account that's $2,400 to clear phase one and $1,500 for phase two, a 4% daily cap of $1,200, and an 8% maximum loss of $2,400.
Now size the ratio against those numbers. Risk 1% a trade ($300), and four losses in a day add up to $1,200, which is the full 4% daily allowance. Eight losses in a row reaches the $2,400 maximum loss. How many losses you can absorb before you're at the limit is set by your risk per trade. How often you'll face a losing streak is set by your win rate, which is set by your ratio. A 1:1 ratio needs you right half the time, so losing streaks land more often. A 3:1 ratio needs one winner in four, so the streaks are shorter and further apart. That is the case for trading a higher reward to risk ratio inside a firm's loss limits, and it's the same ground covered in how much of your account to risk per trade.
Run the target maths too. At 2:1 with a 40% win rate, expectancy is 0.2R. At 1% risk that's 0.2% of the account per trade, so the 8% phase one target needs about 40 trades and the 5% phase two target needs about 25. With no time limit, you can wait for setups that meet your minimum ratio instead of forcing low-ratio trades to beat a clock. The other programs tighten the loss limits further. Rapid uses a 3% daily loss and a 4% maximum loss, and Instant uses a 3% daily loss and a 6% maximum loss. On Rapid the maximum loss is tighter than the daily, so a single bad day has to stop well short of the total allowance. Pair that with a low ratio and a high required win rate and the buffer gets thin fast. The full set of limits is in prop firm drawdown limits.
If you want to see how those limits work on a real account, the rules behind a funded forex evaluation are worth reading before you pick the ratio you trade against them.
What sets your ratio, and what it does not
A reward to risk ratio is a plan. It fixes your break-even win rate, and that break-even win rate fixes your expectancy once you add the win rate your strategy delivers. Costs push the break-even up, hardest at 1:1. Partial exits move your effective ratio, sometimes down to 0.5:1 while the plan still says 2:1. A firm's loss limits and profit target decide how much room you have to be wrong between those exits. Your ratio connects a setup to an outcome, and it only works if it matches the numbers you actually trade. Pick the ratio before the entry, not after the loss.
Reward to risk ratio FAQ
What is a reward to risk ratio?
It's the profit you're aiming for on a trade compared with the loss you'll take if it fails, written reward first. Risk $100 to make $200 and the ratio is 2:1. The ratio sets how often you must be right to break even. It doesn't tell you the odds of either outcome.
What win rate do I need to break even?
Divide 1 by (reward to risk + 1). That gives 50% at 1:1, 40% at 1.5:1, 33.3% at 2:1, and 25% at 3:1. Add trading costs on top and each of those rises, with the biggest jump at the low ratios.
Is a 1:1 reward to risk ratio worth trading?
Only if your win rate clears the bar with room to spare. Break-even at 1:1 is 50% before costs and about 55% once costs are counted. A 52% win rate at 1:1 can lose money after costs, while a 40% win rate at 2:1 can make money.
Why do costs matter more at low reward to risk ratios?
Costs come out of the reward on every trade, so they shrink a small reward by a larger share than a big one. At 1:1 a 0.1R cost adds 5 points to the break-even win rate, from 50% to 55%. At 3:1 the same cost adds 2.5 points, from 25% to 27.5%. Trading commissions apply at the published rates.
How do partial exits change my reward to risk ratio?
They change the average reward you actually take. Close half a 2:1 trade at 1R and half at 2R, and the average is 1.5R, so the effective ratio is 1.5:1 and the break-even rises from 33.3% to 40%. If the second half closes at break even instead, the effective ratio drops to 0.5:1 and break-even jumps to 66.7%.
Do prop firm profit targets and loss limits change the best ratio?
They change how much room you have to be wrong. On the SFX Funded 2-Step, a 4% daily loss limit and an 8% maximum loss on a $30,000 account mean four 1% losses fill the day and eight fill the account. A higher ratio needs fewer winners, so a losing run is shorter and fits inside those limits more easily.
Content on this page is general information only and is not investment advice. Past performance is not a guarantee of future results, and trading involves risk. Every SFX account is simulated capital in a simulated trading environment, provided for educational purposes under the published program rules.
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