TRADING
Risk-Reward Ratio Calculator — Evaluate Trade Setups
By Worldtickers ·
Use our free risk-reward ratio calculator to evaluate whether a trade setup is worth taking. Enter your entry price, stop loss, and profit target to see your risk-reward ratio and the minimum win rate needed for profitability.
This risk tool focuses on use our free risk-reward ratio calculator to evaluate whether a trade setup is worth taking. Enter your entry price, stop loss, and profit target to see your risk-reward ratio and the minimum win rate needed for profitability. Use it to size trades, compare risk levels, estimate market exposure, and review entries, exits, volatility, leverage, and stop levels before committing capital.
Risk-Reward Ratio Calculator
Risk-Reward Ratio Calculator
Determine the risk-reward ratio of a trade by comparing your potential loss to your potential gain.
What Is Risk-Reward Ratio?
Risk-reward ratio is a metric that compares the potential profit of a trade to its potential loss. It answers the fundamental question every trader should ask before entering a position: how much do I stand to gain relative to how much I stand to lose? Expressed as a simple ratio — typically 1:2, 1:3, or similar — it tells you whether the mathematical odds of a trade are in your favor, regardless of whether the trade actually works out. A 1:3 risk-reward ratio means you risk $1 to potentially gain $3. A 1:1 ratio means you risk $1 to gain $1. The higher the ratio, the more favorable the trade is from a risk perspective.
The power of risk-reward ratio lies in its relationship with win rate. A high risk-reward ratio allows you to be wrong on most of your trades and still profit. At a 1:3 ratio, you can be wrong 70% of the time and still break even. At 1:2, you can be wrong 60% of the time. This mathematical reality means that a trader with a mediocre win rate but excellent risk-reward discipline can outperform a trader with a high win rate but poor risk-reward ratios. The ratio is the great equalizer in trading.
Most professional traders consider a minimum of 1:2 to be acceptable for most strategies. This does not mean every trade must meet this threshold — some trades naturally have tighter ratios, and that is fine. The key is that your average risk-reward ratio across all trades should be at least 1:2 or better. If your average ratio falls below 1:1, you need a win rate above 50% just to break even after costs, which is a very narrow margin for error in the unpredictable world of financial markets.
How to Use This Calculator
This risk-reward ratio calculator requires three inputs and produces two outputs. The inputs define your trade parameters, and the outputs reveal whether the trade is mathematically sound.
Entry Price
Enter the price at which you plan to enter the trade. This is your cost basis for the risk-reward calculation. Whether you are buying a stock at $150, selling a forex pair at 1.1050, or entering a futures contract at 4,500, this is the price from which both your risk and reward are measured. Be precise — the entry price directly affects the ratio, and a small difference in entry can shift a trade from favorable to unfavorable.
Stop Loss Price
Enter the price at which you will exit the trade if it moves against you. This defines your risk — the maximum loss per unit if the trade fails. For a long position, the stop loss is below the entry price. For a short position, it is above. The distance between entry and stop loss is your risk per unit. A tighter stop loss improves your ratio but increases the chance of being stopped out by normal market noise. Place your stop at a technically meaningful level, not an arbitrary distance.
Take Profit Price
Enter the price at which you plan to exit the trade if it moves in your favor. This defines your reward — the maximum gain per unit if the trade succeeds. For a long position, the take profit is above the entry price. For a short position, it is below. The distance between entry and take profit is your reward per unit. Be realistic about your target — setting an unrealistically ambitious target produces a misleadingly favorable ratio that rarely materializes in practice.
Reading the Outputs
The calculator outputs two critical numbers: the risk-reward ratio (expressed as 1:N) and the minimum win rate required to break even at that ratio. A 1:3 ratio with a 25% breakeven win rate means you only need to win one out of every four trades to cover your losses. The lower the breakeven win rate, the more forgiving the trade setup is. Always compare the breakeven win rate against your historical win rate for similar setups to determine whether the trade has positive expectancy.
The Formula Explained
The risk-reward ratio formula is: Risk-Reward Ratio = 1 : (Reward / Risk).
Where Risk = |Entry Price − Stop Loss Price| and Reward = |Take Profit Price − Entry Price|.
The breakeven win rate formula is: Breakeven Win Rate = 1 / (1 + Ratio).
For example, if you enter at $50, stop at $47 (risk = $3), and target $59 (reward = $9), the ratio is 9 / 3 = 3, or 1:3. The breakeven win rate is 1 / (1 + 3) = 25%. You need to win only 25% of trades at this ratio to break even. If your historical win rate for similar setups is 40%, your edge is substantial — you are winning nearly twice as often as the breakeven requirement. This is the power of favorable risk-reward ratios: they create a wide margin between your actual performance and the minimum needed for profitability.
The expectancy formula ties it all together: Expectancy = (Win Rate × Reward) − (Loss Rate × Risk). At a 40% win rate with a 1:3 ratio, expectancy = (0.40 × 3R) − (0.60 × 1R) = 1.2R − 0.6R = 0.6R per trade. You expect to earn 0.6 times your risk amount per trade on average. Over 100 trades risking $100 each, this strategy would produce approximately $6,000 in profit — a compelling result driven entirely by the favorable risk-reward ratio.
Real-World Examples
Example 1: A 1:3 Trade Setup
You identify a stock breaking out of a consolidation pattern at $40. Your analysis places a stop loss at $38 (below the consolidation support) and a profit target at $46 (based on the pattern height projected upward). Your risk is $2 per share and your reward is $6 per share, producing a 1:3 ratio. The breakeven win rate is 25%. Even if this trade setup only wins one out of four times, you break even. If your historical win rate on breakout setups is 35%, you have a meaningful edge — approximately 0.45R per trade on average. Over 100 trades risking $100 each, this translates to roughly $4,500 in expected profit.
Example 2: Comparing Two Setups
Setup A offers a 1:1.5 ratio with a 55% historical win rate. Expectancy = (0.55 × 1.5R) − (0.45 × 1R) = 0.825R − 0.45R = 0.375R per trade. Setup B offers a 1:4 ratio with a 30% historical win rate. Expectancy = (0.30 × 4R) − (0.70 × 1R) = 1.2R − 0.7R = 0.5R per trade. Setup B has higher expectancy despite a much lower win rate, purely because of the superior risk-reward ratio. This example illustrates why risk-reward ratio is such a powerful tool — it allows lower win-rate strategies to outperform higher win-rate strategies.
Example 3: Why 1:1 Setups Are Risky
A day trader consistently takes 1:1 setups with a 52% win rate. After 100 trades risking $100 each, the expected profit is (0.52 × $100) − (0.48 × $100) = $52 − $48 = $4 per trade, or $400 total. However, this does not account for commissions (perhaps $5 per trade × 100 = $500) and slippage (perhaps $2 per trade × 100 = $200). After costs, this strategy is actually losing $300 over 100 trades. The 1:1 ratio leaves no margin for error or costs, which is why most professional traders avoid it. A 1:2 ratio at the same win rate would produce (0.52 × $200) − (0.48 × $100) = $104 − $48 = $56 per trade, which comfortably covers costs.
Tips and Limitations
Aim for a Minimum of 1:2
A 1:2 risk-reward ratio is the minimum threshold for most trading strategies. At this ratio, you can be wrong 60% of the time and still break even, providing a meaningful buffer for costs, slippage, and variance. If a trade setup does not offer at least 1:2, skip it and wait for a better opportunity. The discipline to pass on marginal setups is what separates successful traders from those who slowly bleed their accounts to commissions and poor risk management.
Let the Market Determine Your Target
Your profit target should be based on where the market is likely to go, not on what ratio you want to achieve. Placing your target at a random distance to force a 1:3 ratio produces unrealistic expectations. Instead, identify the next significant resistance level, measured move target, or Fibonacci extension — wherever the market is likely to find selling pressure — and use that as your target. If the resulting ratio is below 1:2, the trade is not worth taking. Let the market structure dictate the opportunity, and pass on trades where the structure does not support favorable risk-reward.
Track Your Average Risk-Reward Ratio
Track your average risk-reward ratio across all trades over time. This number, combined with your win rate, tells you whether your strategy has positive expectancy. If your average ratio is 1:2.5 and your win rate is 40%, your expectancy is approximately 0.5R per trade — a solid edge. If your average ratio is 1:1.2 and your win rate is 52%, your expectancy is thin and likely negative after costs. Regular review of these metrics helps you identify which setups are worth taking and which are dragging down your performance.
Beware of Survivorship Bias in Backtested Ratios
Backtested risk-reward ratios often look better than real-world results because backtests do not fully account for slippage, partial fills, emotional decision-making, and market impact. A backtested 1:3 ratio might become 1:2.5 in live trading due to these frictions. When evaluating historical performance, discount your backtested ratios by 10-20% to get a more realistic picture of what to expect going forward.
Frequently Asked Questions
What is a good risk-reward ratio?
A risk-reward ratio of 1:2 or higher is generally considered good for most trading strategies. This means you stand to gain at least twice what you risk on each trade. A 1:2 ratio means that even if you are wrong 60% of the time, you still break even. A 1:3 ratio allows you to be wrong 70% of the time and still profit. The exact minimum depends on your win rate — the lower your win rate, the higher your required risk-reward ratio must be to remain profitable. The key insight is that a high risk-reward ratio gives you a mathematical edge even with a below-average win rate.
Is a 1:1 risk-reward ratio profitable?
A 1:1 risk-reward ratio can be profitable, but only if your win rate exceeds 50% (before accounting for trading costs). With a 55% win rate at 1:1, your edge is thin — commissions and slippage can easily erase it. Most professional traders avoid 1:1 setups because the margin for error is too small. A 1:2 ratio is more forgiving because it allows you to be wrong 60% of the time and still break even, and a 1:3 ratio is even more forgiving. The higher the risk-reward ratio, the more robust your strategy is to variance and trading costs.
How does risk-reward ratio relate to win rate?
Risk-reward ratio and win rate are inversely related requirements for profitability. A high risk-reward ratio requires a lower win rate to be profitable, and vice versa. At 1:1, you need a win rate above 50%. At 1:2, you need above 33%. At 1:3, you need above 25%. This relationship is described by the expectancy formula: Expectancy = (Win% × Average Win) − (Loss% × Average Loss). A smart trader finds the sweet spot where their natural win rate and the available risk-reward ratio combine to produce positive expectancy.
Should I always target a 1:3 risk-reward ratio?
Not necessarily. While 1:3 is excellent when achievable, forcing a 1:3 target on every trade can lead to missed opportunities and overly wide profit targets that rarely get hit. The best approach is to identify your natural win rate and then select trades where the risk-reward ratio supports profitability at that win rate. If you win 55% of the time, you only need slightly above 1:1. If you win 40% of the time, you need 1:3 or better. Let the market conditions and your strategy determine the realistic risk-reward ratio, not an arbitrary target.
What is the difference between risk-reward ratio and reward-to-risk ratio?
They are the same concept expressed in different orders. Risk-reward ratio is typically expressed as 1:N (e.g., 1:3), meaning for every $1 risked, you gain $N. Reward-to-risk ratio is expressed as N:1 (e.g., 3:1), meaning for every $N gained, you risk $1. Both describe the same relationship — a 1:3 risk-reward ratio is the same as a 3:1 reward-to-risk ratio. The convention in trading is usually to express it as risk-to-reward (1:N), but you will encounter both forms.
Can I use risk-reward ratio for intraday and swing trading?
Yes, the risk-reward ratio is applicable to all timeframes. For day traders, it might be calculated on 5-minute chart setups with targets hit within hours. For swing traders, it applies to multi-day or multi-week positions. For position traders, it applies to multi-month holds. The timeframe does not change the mathematical relationship — you still compare your potential profit to your potential loss. What changes is the typical magnitude of the targets and the holding period. The risk-reward calculator works identically regardless of your trading style.
What if the risk-reward ratio looks good but the setup is low probability?
A favorable risk-reward ratio on a low-probability setup can still be profitable, but the variance is extreme. A 1:5 ratio with a 15% win rate has positive expectancy, but you might go 20 trades without a winner before the math plays out. Most traders cannot psychologically handle that kind of streak. The practical approach is to combine risk-reward ratio with other quality filters — volume, trend alignment, support/resistance confluence, and market regime — to ensure you are taking trades that are both favorable in risk-reward and reasonable in probability.
How do I improve my risk-reward ratio without moving my target?
You can improve your risk-reward ratio by tightening your stop loss rather than extending your target. Moving your stop from $2 below entry to $1.50 below entry improves your ratio from 1:2 to approximately 1:2.67 (assuming a $4 target). However, tighter stops increase the chance of being stopped out by normal market noise. The best approach is to place your stop at a technically meaningful level (below support, above resistance, beyond a moving average) and then evaluate whether the resulting risk-reward ratio justifies the trade. If it does not, skip the trade and wait for a better setup.
Should I adjust my risk-reward ratio based on market conditions?
Yes, your risk-reward expectations should adapt to the market environment. In trending markets, 1:3 or higher ratios are more achievable because price moves strongly in one direction. In range-bound or choppy markets, 1:2 may be the realistic maximum, and 1:1 setups become common. During high volatility, wider stops are necessary, which can compress the ratio unless targets are also widened. The key is to be realistic about what the current market conditions can deliver rather than forcing a textbook ratio that the environment does not support.
What is expectancy and how does it relate to risk-reward ratio?
Expectancy is the average amount you expect to win or lose per trade, calculated as: Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss). A positive expectancy means your strategy is profitable over time. The risk-reward ratio directly affects both the Average Win and Average Loss components. A 1:3 ratio with a 40% win rate produces an expectancy of (0.40 × 3R) − (0.60 × 1R) = 1.2R − 0.6R = 0.6R per trade, where R is your risk unit. Positive expectancy is the ultimate goal, and risk-reward ratio is one of the two levers (along with win rate) that determine it.