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Risk vs Reward

Risk versus reward is the comparison between the amount you can lose if a trade goes wrong and the amount you can gain if it goes right, expressed as a reward-to-risk ratio that must be judged together with the probability of each outcome.

Quick answer: Risk versus reward is the comparison between the amount you can lose if a trade goes wrong and the amount you can gain if it goes right, expressed as a reward-to-risk ratio that must be judged together with the probability of each outcome.

In simple words

Every trade has two sides: how much you can lose and how much you can gain. Risk versus reward compares them, usually as a ratio like 2 to 1, meaning you aim to gain twice what you risk. But a ratio alone means nothing without the odds; a great reward-to-risk with a tiny chance of winning is still a bad bet. The two together, ratio and probability, decide whether a trade is worth taking.

Purpose

This page defines the reward-to-risk ratio, shows how it combines with win probability to determine expectancy, and warns why the ratio is meaningless in isolation.

Visual explanation

Risk vs Reward

A trade's potential reward measured against the distance to its stop, expressed as a reward-to-risk ratio.

Reward-to-Risk (R multiples)EntryStop (−1R risk)Target (+2R reward)1R2RR:R = 1 : 2 → breakeven win rate = 1 ÷ (1 + 2) = 33%

Professional explanation

Defining the reward-to-risk ratio

The reward-to-risk ratio compares the distance from entry to the profit target against the distance from entry to the stop-loss. If you enter Nifty at 25,000 with a stop at 24,900 and a target at 25,200, you are risking 100 points to make 200, a reward-to-risk of 2 to 1. The ratio is a property of the trade plan, fixed by where you place the target and stop, and it is what tells you how large a winner is relative to a loser. It is often written the other way as risk-to-reward, so always confirm which convention is meant before comparing figures.

The ratio is meaningless without probability

A reward-to-risk ratio says nothing about whether a trade is worth taking until it is paired with the probability of hitting the target versus the stop. A 5 to 1 ratio that only wins 10 percent of the time is a losing proposition, while a 1 to 1 ratio that wins 70 percent of the time is profitable. This is the most common misunderstanding of the concept: beginners chase high ratios without asking how often those targets are actually reached. Reward-to-risk and win rate are two blades of the same scissor, and neither cuts alone.

Expectancy: combining ratio and odds

The quantity that actually matters is expectancy, the average profit or loss per trade over many trades. Expectancy equals the win probability times the average win, minus the loss probability times the average loss. A positive expectancy means the strategy makes money on average; a negative one means it loses no matter how good any single trade felt. The reward-to-risk ratio and the win rate are simply the inputs to expectancy, which is why professionals think in expectancy rather than in either number alone.

The breakeven win rate for a given ratio

For any reward-to-risk ratio there is a breakeven win rate below which the strategy loses and above which it profits, before costs. At 1 to 1 you need to win more than 50 percent; at 2 to 1 you need more than about 33 percent; at 3 to 1 more than 25 percent. This inverse relationship is why a higher reward-to-risk ratio lets you be right less often and still profit, and why cutting losses short, which raises the effective ratio, is such a powerful habit. Costs raise every one of these breakeven thresholds, so the real bar is always a little higher than the theory.

Why the ratio interacts with the asymmetry of loss

Reward-to-risk connects directly to the survival theme of the whole discipline. Trades with poor reward-to-risk, small gains against large losses, are exactly the payoff shape that produces deep drawdowns, because the occasional loss undoes many wins. Selling options naked is the archetype: a high win rate with a terrible reward-to-risk, where one loss can dwarf dozens of gains. Insisting on a sensible reward-to-risk keeps individual losses bounded relative to gains, which keeps drawdowns shallow and recovery realistic.

Reward-to-risk is a plan, not a guarantee

The ratio is defined by your intended target and stop, but the market does not promise to honour either. Stops can gap through their level on news, making the realised loss larger than planned, and targets are often not reached before a reversal. A backtested or assumed reward-to-risk therefore describes intention, not outcome, and the realised distribution of wins and losses can differ materially. Treating the planned ratio as if it were the guaranteed result is a subtle but common error that flatters expectations.

Formula

Reward-to-risk = (Target − Entry) ÷ (Entry − Stop); Breakeven win rate = 1 ÷ (1 + Reward-to-risk)

Target = intended profit price; Entry = entry price; Stop = stop-loss price; Reward-to-risk = potential gain divided by potential loss in the same units. Breakeven win rate is the minimum fraction of trades that must hit target, before costs, for expectancy to be zero. Example: reward-to-risk of 2 gives a breakeven win rate of 1 ÷ 3 ≈ 33 percent.

Amateur view vs professional view of risk and reward

AspectAmateur viewProfessional view
FocusHow much can I makeHow much can I lose to make it
Ratio useChase the highest reward-to-riskJudge reward-to-risk against win probability
Decision metricFeels like a big winnerPositive expectancy over many trades
Loss sizeAn afterthoughtThe first number set, via the stop
High win rateProof the system worksSuspect if paired with tiny wins and huge losses

Practical example

Illustrative example (Indian market)

A trader plans a Nifty long at 25,000 with a stop at 24,900 and a target at 25,200 on Rs 5,00,000. The risk is 100 points and the reward is 200, a reward-to-risk of 2 to 1, so the breakeven win rate is about 33 percent. With one lot of 75, the risk is 100 times 75, Rs 7,500, and the target reward is Rs 15,000. If historical testing suggests this setup hits target about 45 percent of the time, expectancy per trade is roughly 0.45 times Rs 15,000 minus 0.55 times Rs 7,500, about Rs 2,625 before costs. Subtract brokerage, STT and slippage, and the edge is thinner but still positive; without the favourable ratio, the same 45 percent win rate at 1 to 1 would lose money.

On NSE a common trap is selling deep out-of-the-money Bank Nifty options for a high win rate. The reward-to-risk can be 1 to 10 or worse, so a single adverse expiry can erase months of small premiums; the attractive hit rate hides a payoff shape that guarantees eventual deep drawdowns.

Limitations

  • The ratio is meaningless without a reliable estimate of win probability
  • Planned reward-to-risk assumes stops and targets fill at their levels, which gaps break
  • Estimated win rates are uncertain and drift as market regimes change
  • It says nothing about correlation between trades or portfolio-level risk
  • Costs raise every breakeven threshold, so theory overstates the real edge

Common mistakes

  • Chasing high reward-to-risk without asking how often the target is hit
  • Confusing reward-to-risk with risk-to-reward and inverting the ratio
  • Treating the planned ratio as a guaranteed outcome despite gaps and reversals
  • Preferring a high win rate with tiny wins and rare huge losses
  • Widening the stop after entry, silently worsening the real reward-to-risk
  • Ignoring costs, which push the true breakeven win rate above the textbook figure

Professional usage

Professional traders judge every setup by expectancy, not by the reward-to-risk ratio or the win rate alone. They set the stop first to define the risk, size the position off that risk, and only then assess whether the reachable reward and the realistic probability combine to a positive edge net of costs. They are especially wary of high-win-rate, poor-ratio payoffs, because those hide the tail loss that produces ruinous drawdowns.

Key takeaways

  • Reward-to-risk compares potential gain to potential loss on a trade
  • The ratio is meaningless without the probability of hitting the target
  • Expectancy, win rate times average win minus loss rate times average loss, is what matters
  • A higher reward-to-risk lowers the win rate you need, keeping losses bounded

Frequently asked questions

What is the reward-to-risk ratio?
It is the ratio of a trade's potential gain to its potential loss, measured as the distance from entry to target against the distance from entry to stop. A 2 to 1 reward-to-risk means you aim to make twice what you risk, and it fixes how large a winner is relative to a loser.
What is a good risk-reward ratio?
There is no universally good ratio, because it must be judged with the win rate. A 2 to 1 or 3 to 1 reward-to-risk is often cited, but a lower ratio with a high win rate can be better than a high ratio that rarely reaches target. Expectancy, not the ratio alone, decides.
Why is the ratio meaningless without probability?
Because the ratio only tells you the size of a win versus a loss, not how often each occurs. A 5 to 1 ratio that wins 10 percent of the time loses money, while a 1 to 1 ratio that wins 70 percent makes money. You need both the ratio and the win rate to judge a trade.
What is expectancy?
Expectancy is the average profit or loss per trade over many trades. It equals win probability times average win minus loss probability times average loss. Positive expectancy means the strategy makes money on average; negative means it loses regardless of how good any single trade looked.
What win rate do I need for a 2 to 1 reward-to-risk?
About 33 percent before costs. The breakeven win rate is 1 divided by 1 plus the reward-to-risk, so 2 to 1 gives 1 divided by 3, roughly 33 percent. You must win more than that, and a bit more again to cover brokerage, STT and slippage.
How does reward-to-risk relate to cutting losses?
Cutting losses short shrinks the risk side of the ratio, which raises the reward-to-risk and lowers the win rate you need to break even. Letting losses run does the opposite, worsening the ratio and demanding a higher win rate you are unlikely to achieve.
Is a high win rate always good?
No. A high win rate paired with a poor reward-to-risk, small wins and rare huge losses, can still be a losing or fragile strategy. Naked option selling is the classic example: it wins often but a single large loss can erase many small gains, so win rate alone is misleading.
How do costs affect reward-to-risk?
Costs raise the breakeven win rate for any ratio, because brokerage, STT and slippage must be earned back before a trade is profitable. The higher your turnover, the more costs eat into the edge, so the real win rate needed is always above the textbook figure.
Does the planned ratio always hold?
No. The ratio is defined by your intended stop and target, but stops can gap through their level on news and targets may not be reached before a reversal. The realised reward-to-risk can differ from the plan, so treat the planned ratio as intention, not a guarantee.
Is risk-to-reward the same as reward-to-risk?
They are inverses. Reward-to-risk of 2 to 1 is the same as risk-to-reward of 1 to 2. Because both terms are used loosely, always confirm which convention a source means before comparing numbers, or you may invert the trade's attractiveness.
How do I set a reward-to-risk ratio in practice?
Place the stop where the trade idea is proven wrong, which defines the risk, then identify a realistic target the market can reach, which defines the reward. Size the position off the risk. If the reachable reward and realistic win rate do not combine to positive expectancy, skip the trade.
Can I improve expectancy without a better win rate?
Yes. Raising the average win relative to the average loss, by letting winners run or cutting losers sooner, improves expectancy even if the win rate stays the same or falls slightly. This is why payoff shape often matters more than hit rate.
Why do professionals set the stop before the target?
Because the stop defines the loss, which is the number that must stay bounded for survival, and it drives position sizing. Setting the risk first keeps the trade within the account's loss budget, whereas starting from a hoped-for reward invites oversizing.
Does a 1 to 1 reward-to-risk ever make sense?
Yes, if the win rate is comfortably above 50 percent after costs. A 1 to 1 ratio needs a breakeven win rate over 50 percent, so it suits high-probability setups, whereas a 3 to 1 ratio can profit at a 25 percent win rate. The ratio must match the realistic hit rate.

Voice search & related questions

Natural-language questions people ask about Risk vs Reward.

What is risk reward in trading?
It is comparing how much you can lose against how much you can gain on a trade, often written as a ratio like two to one, meaning you aim to make twice what you risk.
What is a good risk reward ratio?
It depends on how often you win. A two to one ratio is popular, but a lower ratio with a high win rate can be just as good. The ratio and the odds go together.
Why isn't a big reward ratio enough?
Because it says nothing about how often you actually hit the target. A huge reward that rarely happens is still a losing bet without a decent win rate.
What win rate do I need for two to one?
About one in three, or roughly thirty-three percent, before costs. Above that you make money, below it you lose, and costs push the bar a little higher.
Is a high win rate always a good thing?
Not always. If your wins are tiny and your rare losses are huge, a high win rate can still blow up the account. Look at the size of wins and losses too.
What does expectancy mean?
It is your average profit or loss per trade over many trades. If it is positive you make money over time; if it is negative you lose, no matter how good one trade felt.

Sources & references

    Last reviewed 12 July 2026. Educational content only — not investment advice. Markets and rules change; verify current conventions with SEBI, NSE/BSE and your broker.

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