Win rate gets all the attention, but a win rate by itself says nothing about whether a plan makes money. The ratio between what you risk and what you target decides how often you have to be right before costs, and costs then push that number higher.
What the ratio means
Risk-reward compares the distance to your stop with the distance to your target. This guide writes it as risk:reward, so 1:2 means risking one unit to make two. On ES at $50 per point, a 4-point stop is $200 and an 8-point target is $400, which is 1:2.
The break-even win rate
Your next step
Check the math before you size up.
Use your recorded win rate, average win and loss, and trading costs in the free edge calculator. Estimates are a starting point, not proof of an edge.
Ignoring costs, the win rate you need is risk divided by risk plus reward, or 1 / (1 + R) where R is the reward multiple.
| Ratio (risk:reward) | Break-even win rate before costs |
|---|---|
| 1:0.5 | 66.7% |
| 1:1 | 50% |
| 1:1.5 | 40% |
| 1:2 | 33.3% |
| 1:3 | 25% |
These are arithmetic, not forecasts. Nothing here says you can find setups that win at those rates. That part has to come from your own trade log.
Expectancy, hypothetical example
Expectancy is the average result per trade: (win rate × average win) minus (loss rate × average loss). Suppose a hypothetical plan risks $200 to make $400 and wins 40% of the time. That's (0.40 × $400) minus (0.60 × $200) = $160 minus $120 = +$40 per trade. The 40% is assumed. A 30 trade sample is too small to separate a true 30% from a true 50%, so don't treat a short run as proof.
What costs do to the numbers
Assume a hypothetical $20 total friction per ES round trip, covering commissions, fees and a tick of slippage. Net win on the 1:2 plan becomes $380 and net loss $220, so break-even moves from 33.3% to 220 / (380 + 220) = 36.7%. Expectancy at 40% falls from +$40 to +$20. At 1:1 with a $200 stop, net win is $180 and net loss $220, so you'd need 55% just to break even. Costs matter more as targets shrink, which is why you should plug your own broker's fees and realistic slippage into the free edge calculator before trusting any ratio.
Slippage also isn't symmetric. A stop is a stop order, and in fast conditions it can fill beyond your price. Your winners rarely exceed their limit target, but your losers can exceed their stop.
Place the stop first, then check the target
Don't pick a ratio and then draw a stop to fit it. Work in this order:
- Put the stop where the idea is wrong, such as beyond the last swing or beyond the reference level the trade depends on.
- Convert the distance to dollars for your contract (ES $50 per point, MES $5, NQ $20, MNQ $2).
- Multiply the stop distance by your required reward multiple to get the minimum target distance.
- Look at the chart. If there's no sensible target at that distance, skip the trade.
Step four filters out more weak trades than most indicators do. An ATR-based stop is one common approach, often a fraction of ATR to about one ATR, but that range is a starting hypothesis to test, not a rule.
Partial exits and the blended ratio
Take two ES contracts with a 4-point stop. Initial risk is 2 × 4 × $50 = $400. Sell one contract at +4 points for $200, move the stop on the other to breakeven, and let it run to +12 points for $600. If the runner hits, total is $800 on $400 risked, a blended 1:2. If the runner is stopped at breakeven, the trade makes $200 before costs.
Two caveats. A breakeven stop is still a stop order and can slip, and the commissions on two contracts don't disappear. Also, partials change your win rate and average win in your journal, so track them as their own exit style.
Daily loss limits change how you apply it
Prop evaluations add a daily loss limit and a drawdown rule, and the exact definitions vary by firm and product, including whether open profit counts and whether drawdown trails. Take a hypothetical $1,500 daily limit and $200 risk per trade. Three full stops with $20 friction each is $660, 44% of the day's room. A personal stop for the day well inside the firm's limit is just arithmetic about how fast losses stack. Read your firm's current rule document and write the numbers into your plan.
Putting it into practice
Measure your actual average win, average loss and win rate over a meaningful sample, then compare them with the break-even rate your costs require. The ATR indicator guide covers sizing stops to current volatility. If you want a daily set of ES and NQ reference levels to anchor stops and targets, start the 7-day Intro trial, then $97 per month.
About the Author
Founder, Young Money Investments · Quant Trader
Cameron trades ES, NQ, and futures across multiple market cycles. He founded Young Money Investments to teach systematic, data-driven trading and manages Magnum Opus Capital. His work emphasizes documented rules, risk controls, and review over outcome promises.
Free, No Credit Card
Get the Free Room Preview
See how the room works before choosing a membership. Follow a setup in SIM and review what happened.
Risk Disclosure & Disclaimer
Educational Purposes Only: The content provided in this blog is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Young Money Investments is not a registered investment advisor, broker-dealer, or financial analyst.
Risk Warning: Trading futures, forex, stocks, and cryptocurrencies involves a substantial risk of loss and is not suitable for every investor. The valuation of futures, stocks, and options may fluctuate, and as a result, clients may lose more than their original investment.
CFTC Rule 4.41 - Hypothetical or Simulated Performance Results: Certain results (including backtests mentioned in these articles) are hypothetical. Hypothetical performance results have many inherent limitations. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program.
Testimonials: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.
