Risk-Reward Ratio: Setting Stops and Targets Before Entry

Key Takeaways

• The risk-reward ratio compares the distance from entry to stop (risk) against the distance from entry to target (reward), and determines the minimum hit rate needed just to break even.
• At a 1:3 risk-reward setup, a break-even hit rate of 25 percent is required; a trader achieving 40 percent at that ratio earns positive expectancy of 0.60R per trade.
• The single most account-destroying habit is widening the stop after entry to avoid being taken out, which converts a planned minus 1R loss into a minus 2R or worse.
• Van Tharp's R-multiple framework standardizes all outcomes, a stock risking $200 that gains $600 is a plus 3R trade regardless of share price or position size, enabling apples-to-apples comparison across any instrument.

What It Is

For any planned trade, you define two levels. The stop marks the price at which you exit if the idea fails. The target marks the price at which you take profit. The distance from entry to stop is the risk, R. The distance from entry to target is the reward.

The ratio is quoted in two conventions that cause endless confusion. Some authors write "risk-to-reward" as 1:2, meaning you risk 1 unit to make 2. Others quote "reward-to-risk" as 2, meaning the same thing. This article uses the 1:R convention: 1:2 means risking 1 to make 2, 1:3 means risking 1 to make 3.

Van Tharp formalised this into R-multiples. Every realised trade outcome is expressed in units of the initial risk R. A winner that hits a 1:3 target is a +3R trade. A loser stopped out at the original stop is -1R.

The Intuition

Risk-reward and hit rate are the two legs of the same stool. Neither means anything without the other. A system with average R-multiple of +0.5 and a 50 percent hit rate is equivalent, in expected value, to a system with +2R average win and a 25 percent hit rate.

The clean expression of this is the break-even hit rate formula. For a given reward-to-risk ratio R, the minimum hit rate you need just to cover losses is:

break_even_hit_rate = 1 / (1 + R)

At 1:1 R:R, you break even at 50 percent. At 1:2, you need 33 percent. At 1:3, you need 25 percent. At 1:5, you need 17 percent. The higher the reward-to-risk, the lower the hit rate you need, but also the lower the actual hit rate you will typically see because ambitious targets fill less often.

The practical implication is that choosing stops and targets is not a cosmetic decision. It directly fixes the minimum win rate the strategy must clear to be profitable.

How It Works

Defining a trade in risk-reward terms forces four explicit decisions.

1. Entry price. The signal triggers here.
2. Stop level. Placed beyond a structural level such as recent swing low, a moving average, or a volatility band like one ATR below entry.
3. Target level. A support or resistance, a measured-move projection, or a volatility-multiple of the stop distance.
4. Position size. Calculated so that the dollar loss if the stop fills equals a fixed percentage of account equity, typically 0.5 to 2 percent.

With these four numbers, every outcome can be expressed in R. If you risk 200 dollars per trade and a winner earns 600, that is +3R regardless of how many shares were involved. This standardisation lets you compare a ten-cent stock to a thousand-dollar stock on the same axis.

The overall strategy is then summarised by two statistics: average R-multiple across all trades, and hit rate. Expected value per trade in R-units is:

expectancy_in_R = (hit_rate * avg_winning_R) + ((1 - hit_rate) * avg_losing_R)

Where avg_losing_R is usually close to -1 if stops fill at their planned level, and can be worse during gaps or fast markets.

Worked Example

A swing trader sets up a trade on a stock at 50 dollars.

• Entry: 50.00
• Stop: 48.50 (risk = 1.50 per share)
• Target: 54.50 (reward = 4.50 per share)
• R:R = 1:3

The break-even hit rate at 1:3 is 25 percent. If the trader's actual hit rate on this setup is 40 percent, the expectancy per trade in R-multiples is:

expectancy = (0.40 * 3) + (0.60 * -1) = 1.20 - 0.60 = +0.60R

Risking 200 dollars per trade (so position size = 200 / 1.50 = 133 shares), the expected value is about 120 dollars per trade. Over 100 trades, the expected P&L is roughly 12,000 dollars before slippage and commission.

Now suppose the trader raises the target to 60 dollars, making it a 1:6.67 setup. The break-even hit rate drops to 13 percent. But in practice such an ambitious target fills far less often. If the realised hit rate falls from 40 to 15 percent, expectancy becomes (0.15 * 6.67) + (0.85 * -1) = +0.15R. Technically profitable, but much thinner and more volatile. Setting targets is a trade-off between theoretical R:R and realistic fill probability.

Common Mistakes

1. Quoting R:R without hit rate. Screenshots of 1:5 setups mean nothing without the percentage of such setups that actually reach the target. A 1:5 trade that fills 10 percent of the time is worse than a 1:2 trade that fills 50 percent.

2. Using cosmetically round stops and targets. A target at 60 dollars because it is a round number is not a target, it is a wish. Stops and targets should sit at structural levels or at defined volatility multiples. Otherwise, the realised R:R drifts from the planned R:R.

3. Chasing very high R:R setups that rarely fill. 1:10 trades look attractive on paper and seldom print. The expected value calculation has to use realistic fill probabilities, not the trader's best-case imagination.

4. Ignoring that realised R often deviates from planned R. Slippage, gaps, partial fills, and manual interference all make the realised distribution worse than the planned distribution. Audit the trade log monthly and compare actual R-multiples to the plan.

5. Moving the stop to preserve hit rate. Widening the stop after entry to avoid being taken out converts a -1R loss into a -2R or worse. This single habit destroys more accounts than any other.

Frequently Asked Questions

Q: What is the risk-reward ratio in trading in simple terms? It is the ratio between how much you could lose if the trade fails and how much you could gain if it succeeds. A 1:3 risk-reward means you risk one unit of money to try to make three. You set these levels with a stop and a target before placing the trade.

Q: How does the risk-reward ratio affect investment decisions? It anchors both the stop placement and the target, and it fixes the minimum hit rate your strategy needs to be profitable. Choosing a 1:3 ratio means you only need to be right 25 percent of the time to break even, which gives the strategy room to be wrong often while still growing the account.

Q: What is a real-world example of calculating risk-reward? A swing trader buys a stock at $50, places a stop at $48.50 (risk $1.50 per share), and sets a target at $54.50 (reward $4.50 per share), giving a 1:3 risk-reward. With a 40 percent historical hit rate on this setup, expected value per trade is +0.60R, consistently profitable over many repetitions.

Q: How can investors avoid the most common risk-reward mistake? Never move the stop further from entry once the trade is open. The stop was placed at a level that invalidates the trade thesis. Moving it out converts a capped loss into an open-ended one, and the research record shows this single habit causes more account damage than any other single error.

Q: How is risk-reward ratio different from hit rate? Risk-reward is a forward-looking measure set at trade entry: it defines what you are aiming for and what you are willing to lose. Hit rate is a backward-looking statistic calculated across completed trades. You need both to calculate expected value; neither alone tells you whether a strategy makes money.

Sources

1. P&L Ledger. "Expectancy and R-multiples: The Plain-English Guide." https://www.pnlledger.com/expectancy-r-multiples-the-plain-english-guide/
2. The Transparent Trader. "How To Master The Art Of Risk vs Reward: R-Multiples Uncovered." https://www.thetransparenttrader.com/strategy/master-art-risk-vs-reward-r-multiples-uncovered/
3. FP Markets. "The Complete Risk-Reward Ratio Guide for Forex Traders." https://www.fpmarkets.com/education/trading-guides/complete-risk-reward-ratio-guide-for-forex-traders/
4. FXStreet Learning Center. "Stability Statistics." https://learningcenter.fxstreet.com/education/learning-center/unit-3/chapter-2/stability-statistics/index.html
5. Macroption. "What Is a Good Risk-Reward Ratio for Options?" https://www.macroption.com/good-risk-reward-ratio-options/

Disclaimer

This article is educational content only and is not financial advice. Nothing here is a recommendation to buy, sell, or hold any security. Consult a licensed advisor before making investment decisions.