Risk-Reward Ratio in Swing Trading: R-Multiples Explained

The risk reward ratio in swing trading compares how much you stand to lose on a trade (entry minus stop) with how much you aim to gain (target minus entry). A 1:2 ratio means you risk $1 to try to make $2. Tracked in R-multiples, where 1R equals your initial risk, it becomes a simple way to judge every trade and your whole strategy.

This article is educational only and is not financial advice. Patterns fail, and past performance does not guarantee future results.

How to Calculate Risk Reward Ratio for Stocks

You need three prices: entry, stop, and target.

1. Risk per share = entry − stop
2. Reward per share = target − entry
3. Reward-to-risk = reward ÷ risk

Worked example

Say a hypothetical stock breaks out of a base and you buy at $50.00. Your stop is $48.00 and your target is $56.00.

• Risk: $50 − $48 = $2.00
• Reward: $56 − $50 = $6.00
• Ratio: $6 ÷ $2 = 3, written 1:3

Notice the ratio says nothing about position size. It only describes the shape of the trade. For sizing, see the stop-placement guide below and decide your dollar risk first.

What Is an R-Multiple?

An R-multiple measures a result in units of your initial risk. If you risked $200 on a trade (1R):

• Exit at +$600 = +3R
• Exit at −$200 = −1R
• Exit at +$100 = +0.5R
• Exit at −$300 because of a gap through your stop = −1.5R

R-multiple trading puts every trade on the same scale, whether it was a $15 stock or a $300 one. It also shows you when losses run past plan. A journal that records R for every trade is far more useful than one that records dollars. Our trading journal template shows what to log.

Win Rate vs Risk Reward: The Expectancy Formula

Neither number works alone. A 70% win rate can lose money if winners are tiny. A 35% win rate can make money if winners are large. The trade expectancy formula combines them:

Expectancy (in R) = (Win rate × Average win in R) − (Loss rate × Average loss in R)

With losses at 1R, a 40% win rate and 1:2 setup gives: (0.40 × 2) − (0.60 × 1) = +0.20R per trade. On average, across many trades, you would earn 0.2 times your risk each trade. Averages are not promises, and small samples are noisy.

Expectancy table: 1:1 vs 1:2 vs 1:3

Expectancy in R per trade, assuming every loser is −1R and every winner hits its target exactly, before costs:

Break-even win rate

The win rate you need to break even is:

Break-even win rate = 1 ÷ (1 + reward-to-risk)

• 1:1 needs 50%
• 1:2 needs about 33%
• 1:3 needs 25%

Commissions, slippage, and gaps push these numbers higher in real life.

What Is a Good Risk Reward Ratio?

There is no universal answer. Many swing traders look for at least 1:2, because it tolerates a win rate below 50%. But the right ratio depends on your setup's actual hit rate.

1:2 vs 1:3 risk reward

A 1:3 target needs a bigger move, so it is hit less often. A 1:2 target is hit more often. The table shows 1:3 at a 30% win rate (+0.20R) matches 1:2 at 40% (+0.20R). The question is which your setup can realistically deliver. Test it with your own journal data rather than assuming a higher ratio is always better.

How to Set Targets From Resistance

Targets should come from the chart, not from a wish for 1:3.

1. Mark the next clear resistance level above your entry, such as a prior swing high or the top of an earlier range.
2. Set your target just below it, since price often stalls there.
3. Place the stop at a logical invalidation point, such as below the breakout base or a recent swing low. See where to place a stop loss in swing trading.
4. Calculate the ratio. If it is below your minimum, pass or wait for a better entry.

Example from resistance

A hypothetical stock consolidates between $38 and $42, then breaks out at $42.50. The stop is $40.50 (risk $2.00). The next resistance is a prior high at $47.00, so the target is $46.75 (reward $4.25). Ratio: about 1:2.1. That meets a 1:2 minimum. If the nearest resistance were $44, reward would be $1.50, a ratio under 1:1, so you would likely skip it.

Scaling out

Some traders sell half at 1R or 2R and trail the rest. This lowers variance but caps some winners. Measure it in your journal like any other rule.

Common Risk-Reward Mistakes

• Moving the stop wider. This increases risk after the fact, so your −1R loss becomes −2R or worse. Your calculated ratio no longer describes the trade.
• Forcing the ratio. Pushing the target far away or tightening the stop to hit 1:3 makes the numbers look good while lowering the odds of the trade working. A stop inside normal volatility gets hit by noise.
• Ignoring win rate. A ratio is only half the equation.
• Ignoring position size. A great ratio with oversized risk can still hurt your account. Risk a small, fixed percentage per trade.
• Skipping costs and gaps. Overnight gaps can produce losses beyond 1R. Review the gap fill strategy to understand gap behavior.
• Not tracking results. Without a record, you cannot know your true average R or win rate.

A Simple Pre-Trade Checklist

1. Define entry, stop, and target from the chart.
2. Compute reward-to-risk and compare to your minimum.
3. Size the position so a stop-out costs 1R, a small fixed share of your account.
4. Log the plan, then the outcome in R.
5. Review expectancy after 30 to 50 trades.

The Bottom Line

Risk-reward gives you the shape of a trade; win rate tells you how often it works; expectancy combines them. Think in R, set targets from the chart, and keep stops where you planned them. No ratio guarantees a profit, so manage risk and do your own research.

StockSetups can help with the planning step. Paid plans include trade plans with entry, stop, target, and reward:risk, plus a conviction score. They are a starting point for your own analysis, not a substitute for it.