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Quick Answer: You do not need to win most trades. When your average winner is larger than your average loser, you can lose more often than you win and still do well. At a Reward to Risk Ratio of 3 (risk 1 to try to earn 3), you need to win only about 1 trade in 4 to break even, before costs.
Definition: Reward to Risk Ratio = potential reward ÷ potential risk, measured from your planned entry, target and stop loss.
Most beginners judge a strategy by one number: how often it wins. The Reward to Risk Ratio asks a better question. When you are right, how much do you earn compared with what you lose when you are wrong? SEBI’s study for FY25 reported that over 91% of individual equity derivatives traders recorded net losses. Many things sit behind that figure and no single ratio explains it, but a trader who never measures reward against risk is trading blind.
Reward to Risk Ratio compares how much you stand to earn with how much you stand to lose on a single trade. Divide the distance from entry to target by the distance from entry to stop loss. A result of 3 means you risk 1 to try to earn 3.
That is for a long trade. For a short trade, swap the subtraction so that both distances stay positive.
You may also see the same idea written as risk:reward, such as 1:3. That means risk 1, reward 3, which equals a Reward to Risk Ratio of 3.
One limit matters a lot. The ratio describes the payoff if the trade works. It says nothing about how often it will work. That is why it must always be read together with win rate.
Because your losses stay small and your winners are larger, you can lose more trades than you win and still come out ahead. The win rate you need just to break even is 1 ÷ (1 + Reward to Risk Ratio). No outcome is assured, but this arithmetic is fixed.
| Reward to Risk Ratio | Same as risk:reward | Breakeven win rate |
|---|---|---|
| 0.5 | 2:1 | 66.7% |
| 1 | 1:1 | 50% |
| 2 | 1:2 | 33.3% |
| 3 | 1:3 | 25% |
| 4 | 1:4 | 20% |
These figures are before brokerage, STT, other charges and slippage. Costs push the real breakeven higher, so aim for a clear margin above it.
To combine both numbers, use expectancy. Per trade, in units of risk: (win rate × Reward to Risk Ratio) − (loss rate × 1). If the result is above zero, the system has a positive edge on paper. If it is zero or negative, no stop loss placement will rescue it.
Mark three levels before you place the order: Entry (A), Stop Loss (B) and Target (C). Measure risk as A to B and reward as A to C, divide reward by risk, then size the position from the money you are willing to lose.
This example is illustrative. The prices are round numbers for clarity, not a live recommendation, and brokerage, STT, slippage and option Greeks are ignored.
Chart logic: imagine a high-volume NSE stock that has spent several sessions in a tight range near a narrow CPR. I would wait for a candle to close above the top of that range on rising volume. That close is Entry (A). The stop loss (B) goes below the breakout area, because a close back inside the range means the breakout failed. The target (C) is the next pivot resistance or swing high.
| Item | Value |
|---|---|
| Capital | Rs 5,00,000 |
| Risk per trade (1%) | Rs 5,000 |
| Entry (A) | Rs 500 |
| Stop Loss (B) | Rs 490 |
| Target (C) | Rs 530 |
| Risk per share | Rs 10 |
| Reward per share | Rs 30 |
| Reward to Risk Ratio | 30 ÷ 10 = 3 (1:3) |
| Quantity | 5,000 ÷ 10 = 500 shares |
| Loss if stopped at B | 500 × 10 = Rs 5,000 |
| Gain if target C is hit | 500 × 30 = Rs 15,000 |
| Breakeven win rate | 25% |
Now watch what chasing does. Suppose you buy late at Rs 515 with the same stop (Rs 490) and target (Rs 530). Risk becomes Rs 25 and reward only Rs 15, so the ratio is 0.6 and the breakeven win rate jumps to 62.5%. Same chart, same idea, a much worse trade. Skip it, or wait for a pullback.
Neither one is enough alone. What matters is expectancy, the average result per trade once win rate and Reward to Risk Ratio are combined.
| Trader A | Trader B | |
|---|---|---|
| Win rate | 60% | 40% |
| Reward per win | 0.5R | 2R |
| 10 trades | 6 wins, 4 losses | 4 wins, 6 losses |
| Wins | 6 × 0.5R = +3R | 4 × 2R = +8R |
| Losses | 4 × 1R = −4R | 6 × 1R = −6R |
| Net result | −1R | +2R |
| At Rs 5,000 per R | −Rs 5,000 | +Rs 10,000 |
Trader A feels great by winning six of ten, yet loses. Trader B loses six of ten and finishes ahead.
A 40% win rate also means losing streaks will come. Any five-trade stretch has about a 7.8% chance of being all losses (0.6 × 0.6 × 0.6 × 0.6 × 0.6). With 1% risk per trade, eight losses in a row would reduce capital by roughly 7.7%, not 50%. That is the job of position sizing.
There is no official minimum. Guides differ, and many educators suggest testing near 1:2 or 1:3, but the right number depends on your strategy, win rate and costs. Test it on your own trades and fix one rule.
A higher target is not automatically better. A target the chart cannot reach is only a wish, and it lowers your real win rate. Set C at a level the chart supports, then read the ratio you get. Never stretch C just to make the number look good.
| Common mistake | Practical fix |
|---|---|
| Moving the target farther away to inflate the ratio | Take C from a real chart level, then accept whatever ratio it gives. |
| Widening the stop loss after entry | Set B before entry and never widen it. Exit when it is hit. |
| Ignoring brokerage, STT and slippage | Add estimated costs to risk and subtract them from reward before you calculate. |
| Taking a great ratio with no confirmation | A good ratio does not replace a valid setup. Confirmation comes first. |
| Risking a different amount on every trade | Use a fixed percentage of capital per trade and size from it. |
| Judging a system on ten trades | Journal at least 50 trades before you decide anything. |
Record every result as a multiple of the amount you risked, such as +3R or −1R. After 50 or more trades, calculate your real win rate and average Reward to Risk Ratio, then compare them with the breakeven table above. My own preference in options is Nifty 50 contracts near 0.7 delta with low theta. That is a personal preference, not a claim about results. Whatever you trade, the logic stays the same: measure risk in premium, size by risk amount ÷ risk per unit, and check the current lot size on NSE. You can find more lessons on the Trading Direction blog, and my trading books go deeper into trade planning.
Skip the trade when the ratio is below your own minimum, when the stop loss is too wide for your risk limit, or when the chart shows no clear level for a target. Skipping is a decision, not a failure.
There is no official minimum. Many beginners start by testing 1:2 or 1:3 on a small sample, record the results and then fix one rule. Your own journal is a better guide than any fixed number.
On paper, yes, if the ratio is above 1.5, because the breakeven win rate at 1.5 is exactly 40%. At a ratio of 2, expectancy is (0.4 × 2) − (0.6 × 1) = +0.2R per trade, before costs. Real results vary and no outcome is assured.
Use (Entry − Target) ÷ (Stop Loss − Entry). Both distances stay positive, so the answer reads the same way as for a long trade.
No. A distant target is hit less often, so a higher ratio can bring a lower win rate. Choose a target the chart supports and check that the combined expectancy stays positive.
Not always. Gaps, fast markets and low liquidity can fill you at a worse price, so your real loss can exceed the planned one. This is another reason to keep position size modest.
Do not chase a high win rate. Build trades where the reward is clearly larger than the risk, then keep each loss small and fixed. Mark A, B and C first, calculate the ratio, size the position from your risk amount and skip anything below your minimum. Journal in R-multiples and let 50 or more trades show you whether your edge is real.
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Disclaimer: This article is for education only and is not investment advice. All examples and figures are illustrative. Trading in equities, futures and options carries a high risk of loss, including the whole premium paid, and no outcome is assured. Trading Direction is not presented here as a SEBI-registered investment adviser. Please verify figures, charges and rules on official sources such as NSE, BSE and SEBI before acting.