Breakeven Win Rate Calculator: Risk and Reward

Breakeven win rate = average loss ÷ (average win + average loss), expressed as a percentage. When reward divided by risk is RRR, the same calculation is 1 ÷ (1 + RRR). This calculator also shows expectancy, meaning average profit or loss per trade. Keep the ratio consistent with your average wins and losses: the breakeven card uses the ratio, while rupee expectancy uses the amounts.

Decide which reward-to-risk ratio you are checking

The Risk Reward Ratio field means reward divided by risk. In a made-up example, a ₹2,000 gain against a ₹1,000 loss gives a ratio of 2, commonly written as risk:reward of 1:2. Enter 2 in the ratio field. Reversing the pair changes the question. The risk-reward calculator can help compare a planned entry, stop and target.

A planned target is different from an average realised win. Partial exits, early exits and losses beyond a stop can change the amounts actually earned or lost. To review completed trades, use the same group of closed trades for Current Win Rate (%), Average Win (₹) and Average Loss (₹). Enter Average Loss as a positive loss amount.

What win rate do you need at 1:2 or 1:3?

At a reward of twice the risk (1:2), you need to win 33.3% of trades to break even before costs. At 1:3 you need 25%. The rule is simple: breakeven win rate = 1 ÷ (1 + reward-to-risk). You can rearrange it to find the ratio you need for a given win rate: ratio = (1 ÷ win rate) − 1. A trader who wins 50% of the time needs a ratio of (1 ÷ 0.5) − 1 = 1, so a 1:1 setup is enough to break even.

The breakeven rate is only the line where average profit is zero. Being above it by a thin margin leaves no room for charges, slippage (the gap between the price you wanted and the price you got) or a bad month. Use the full table below this section for more ratios.

Example: a consistent set of inputs

For this fictional example, enter Risk Reward Ratio 2, Current Win Rate 40%, Average Win ₹2,000, Average Loss ₹1,000 and Trades Per Month 20. Assume those gains and losses are before charges. The average gain is twice the average loss, so the ratio and amount inputs agree.

• Breakeven = 1 ÷ (1 + 2) × 100 = 33.3%, rounded as the tool displays it.
• Expectancy = 0.40 × ₹2,000 − 0.60 × ₹1,000 = ₹200 per trade.
• Surplus = 40 minus the unrounded breakeven rate = 6.7 percentage points.
• At the assumed frequency, ₹200 × 20 = ₹4,000 is an arithmetic scenario before costs. It is not a monthly forecast.

CME Group’s mathematical expectation lesson uses winning frequency multiplied by average win, less losing frequency multiplied by average loss. Its central point is that win frequency alone does not describe trading results, because wins and losses can have different sizes. The example here uses our own assumed rupee amounts.

Trading expectancy: win rate and risk-reward together

Expectancy is the average amount you gain or lose per trade. Formula: expectancy = (win rate × average win) − (loss rate × average loss). CME Group's trading course on the mathematics of trading success calls the idea mathematical expectation. Its example is a rule set that wins 40% of the time with winners three times the size of losers, which gives a positive expectancy of 0.6 risk units per trade even though the trader loses more often than not.

Check that with our own made-up numbers. Risk ₹1,000 per trade, win 40% of trades, and make ₹3,000 on each winner: 0.40 × ₹3,000 − 0.60 × ₹1,000 = ₹1,200 − ₹600 = ₹600 per trade, which is 0.6 times the ₹1,000 risked.

The first row shows a trader who wins more than half the time and still loses money. The second shows a trader who loses most trades and makes money. Neither is a recommendation. The trading expectancy calculator and the expectancy guide go further.

Breakeven table before trading costs

Each row sets the long-run average outcome to zero under its assumptions. Exactly reaching the threshold leaves no allowance for fees omitted from the inputs. A larger target does not tell you how often it will be reached. The table gives no observed win probability for Nifty, an option strategy or any other market.

Breakeven table with costs included

Costs raise the bar. This table assumes a risk of ₹1,000 per losing trade and ₹100 of charges on every trade, so each winner earns ₹100 less and each loser costs ₹100 more. Net breakeven = net loss ÷ (net win + net loss).

Charges matter most when your average win is small. For real costs per trade use the total trading cost calculator. The tool on this page has no cost field, so enter net amounts if you want costs included.

The mismatch that can reverse your interpretation

Keep the fictional win rate at 40%, but change Average Win to ₹1,000 and Average Loss to ₹2,000 while leaving the ratio at 2. The ratio card still shows 33.3% breakeven, yet expectancy becomes 0.40 × ₹1,000 − 0.60 × ₹2,000 = −₹800 per trade. The realised reward-to-risk ratio is 0.5, with breakeven of 66.7%.

That disagreement comes from different inputs feeding different cards. Profitability and Assessment follow the surplus above the ratio-based threshold. They cannot certify the sign of the separately calculated rupee expectancy when the inputs disagree. Check the amounts before accepting a positive-sounding label.

Win rate vs risk-reward: the trade-off

You can usually raise one at the cost of the other. A far-away target means a higher ratio but is reached less often. A near target is reached more often but pays less. Neither side is better by itself. What matters is the pair, which is why the breakeven line moves when the ratio moves.

• A high win rate with a small average win is fragile. One large loss can erase many wins.
• A low win rate with a large average win needs patience and a plan for long losing runs. Streaks of losses are normal at 35% or less.
• Chasing a 1:5 setup only to raise the ratio can lower your actual hit rate below the new breakeven.
• Measure both from your own closed trades, not from a rule of thumb.

To work out your ratio from a planned trade, use the risk-reward calculator. Made-up example: entry ₹500, stop ₹490 and target ₹530 give risk ₹10, reward ₹30 and a ratio of 30 ÷ 10 = 3. Learn more in how to calculate risk-reward ratio.

Add costs once, using a clear basis

There is no dedicated cost field here. If your winning and losing averages already include charges, use those net amounts consistently. If they are gross, the expectancy result is also before costs. The total trading cost page explains the distinction between trading gains and expenses; reconcile estimates against your own records.

As a separate illustrative calculation, assume the earlier gross example incurs ₹100 per completed trade. Average net win becomes ₹1,900 and average net loss becomes ₹1,100. Net breakeven = ₹1,100 ÷ (₹1,900 + ₹1,100) × 100 = 36.7%. Net expectancy = 0.40 × ₹1,900 − 0.60 × ₹1,100 = ₹100. Update the ratio to 1,900 ÷ 1,100 when checking this net basis.

This example assumes the same cost on each outcome. If your costs vary, derive the net win and loss averages directly. Do not deduct an estimated charge a second time from a record that is already net.

What the other cards can and cannot establish

Trades For Target echoes the entered trade count when expectancy is positive because the internal target is derived from that same expectancy and count. It does not solve for a personal income goal. Tip For2 R R is a rounded reference, so equality at its printed whole percentage should not be treated as proof of profitability.

The tool does not examine individual trades, measure uncertainty in your sample or detect changes in market conditions. Zero entries can become preset win, loss or win-rate values. Use meaningful positive averages and check the actual trade record separately. An average does not show the order of outcomes, so a positive result can coexist with a severe drawdown, meaning a fall from an account peak.

The trading expectancy calculator focuses on the average outcome. The profit factor calculator compares total winning and losing amounts. Keep the sample dates, closed-trade count and cost treatment beside either figure so comparisons refer to the same record.

Find your real win rate from your journal

Your win rate is wins divided by closed trades in a chosen period. Decide the rules first and apply them every time: do breakeven trades count as wins, losses or neither, are partial exits one trade or two, and do you count gross or net result? Then average the wins and losses for the same set of trades, and enter them here.

Made-up example: 20 closed trades, 9 winners averaging ₹1,400 and 11 losers averaging ₹900. Win rate = 9 ÷ 20 = 45%. Breakeven = 900 ÷ (1,400 + 900) = 39.1%. Surplus = 45 − 39.1 = 5.9 points. Expectancy = 0.45 × 1,400 − 0.55 × 900 = 630 − 495 = ₹135.

Sample size matters. In 20 trades, one extra winner moves the win rate by 5 points (9 of 20 is 45%, 10 of 20 is 50%). A small sample can look better or worse than your long-run result, so treat early numbers as a rough guide. OneTradeJournal records your trades by hand and shows win rate, profit factor and drawdown from what you entered, so you can read these figures for any period. See also the win rate definition and how to improve your win rate.

Questions about win rate and breakeven

Sources

• CME: mathematical expectation (checked 15 Oct 2026).