Risk-to-Reward Calculator: Is the Potential Reward Worth the Risk?

Your stop loss is 20 pips. Your target is 60 pips. You're risking 20 to potentially make 60. That's a 1:3 risk-to-reward ratio. Or, said another way: if the trade reaches the target, it produces +3R.

Simple enough. But risk-to-reward gets misunderstood constantly because traders tend to look at the reward side and forget one fairly important detail: price actually has to reach it.

The Risk-to-Reward Calculator shows you the relationship between what you're risking and what you're targeting so you can evaluate the trade before taking it.

What Is Risk-to-Reward?

Risk-to-reward compares how much you could lose if your stop is hit with how much you could make if your target is hit.

Suppose stop distance = 25 pips, target distance = 50 pips.

50 ÷ 25 = 2 → 1:2

What Does 1:1 Mean?

A 1:1 means your potential reward equals your risk. Stop 30 pips, target 30 pips — you risk 1R to potentially make 1R.

If your average winner and loser actually remain equal, you'd need approximately 50% wins to break even before costs.

What Does 1:2 Mean?

Stop 20 pips, target 40 pips — risk-to-reward 1:2. You're risking 1 unit to potentially make 2. If the trade wins: +2R. If it reaches the full stop: -1R.

The theoretical break-even win rate is 33.3%.

What Does 1:3 Mean?

Stop 15 pips, target 45 pips — ratio 1:3. You're risking 15 to potentially make 45. A full winner: +3R. A full loser: -1R. The theoretical break-even win rate: 25%.

Which sounds fantastic. Until someone decides every trade needs a 3R target whether the chart supports it or not. We'll get to that.

Risk-to-Reward Is Not Position Size

Trader	Account	Risk	Reward	Ratio
A	$500	$5	$15	1:3
B	$50,000	$500	$1,500	1:3

Same risk-to-reward. Completely different dollar amounts. Risk-to-reward describes the relationship between the potential loss and gain. Position sizing determines how much money that relationship represents.

Risk-to-Reward Is Not Risk Percentage Either

Suppose your trade has 1:3 risk-to-reward. You could risk 0.5% of your account. 1%. 2%. 5%. The chart setup still has 1:3 risk-to-reward. Changing your risk percentage changes the dollars at stake. It doesn't change the distance between your stop and target.

Risk-to-Reward Is Not Win Rate

A 1:5 trade does not mean "this is an amazing trade." It means your target is five times farther from entry than your stop. That's it.

We still need to know how often trades like this actually reach the target. A beautiful ratio attached to a target price that rarely gets hit isn't particularly useful.

Bigger Reward Usually Comes With a Trade-Off

Suppose the same setup is tested with different targets.

Target	Historical Win Rate
1R	70%
2R	50%
3R	35%
5R	18%

The farther away the target, the fewer trades may reach it. That's normal. The question isn't "what's the biggest R:R I can draw?" It's "which combination of reward and win rate produces the best strategy?"

A Giant Risk-to-Reward Ratio Can Still Lose Money

Suppose you target 5R but only win 15% of your trades. Average loser: 1R.

Expectancy = (0.15 × 5) − (0.85 × 1) = 0.75 − 0.85 = -0.10R

You have 1:5 risk-to-reward and negative expectancy. So much for the magical giant target.

A Smaller Ratio Can Be Excellent

Suppose average winner = 1R, average loser = 1R, win rate = 65%.

Expectancy = (0.65 × 1) − (0.35 × 1) = +0.30R

A simple 1:1 strategy can absolutely have positive expectancy. There is no law stating every trade needs 1:3 or better.

Stop Choosing Targets Just to Create a Pretty Ratio

Suppose the chart gives you a logical stop of 20 pips and a reasonable target of 35 pips — risk-to-reward 1:1.75.

Then someone says "I only take 1:3 trades." So they put the target 60 pips away. Why? Because 3 is prettier?

Your target should come from your method and market structure. The calculator measures the resulting ratio. It shouldn't dictate imaginary targets.

Try the Risk-to-Reward Calculator

Enter your entry price, stop-loss price, and target price. The calculator will show your risk distance, reward distance, and risk-to-reward ratio.

For example: risk 20 pips, potential reward 40 pips → risk-to-reward 1:2.

The Same Applies to Stops

Suppose the logical invalidation point is 30 pips away. Target: 60 pips. That's 1:2.

You decide you want 1:3. So you tighten the stop to 20 pips for no structural reason. Congratulations. You improved the ratio on paper. You may also have placed the stop exactly where normal price movement repeatedly takes you out.

Risk-to-Reward Should Describe the Trade

Not manufacture it. Your method should determine where the trade is invalid and where the logical target is. Then calculate: what relationship does that create? That's much more useful than forcing every chart into an arbitrary ratio.

Entry Quality Can Improve Risk-to-Reward

This is where things get interesting. Suppose the structural stop must remain 20 pips below a level. Target: 40 pips above your original entry. Ratio: 1:2.

Now suppose you're able to enter on a pullback closer to the invalidation level. New stop distance: 10 pips. Target distance: 50 pips. Now: 1:5.

The target didn't become ridiculous. The entry improved. That's a legitimate way risk-to-reward can change.

But Waiting for a Better Entry Has a Cost

Maybe price never pulls back. Your perfect 1:5 entry never triggers. Meanwhile the original 1:2 trade reaches target.

So again: better theoretical R:R does not automatically mean a better strategy. You need to test entry quality against missed-trade frequency.

Risk-to-Reward and Stop Placement

Entry 1.1000, stop 1.0980, target 1.1040. Risk 20 pips, reward 40 pips — ratio 1:2.

Now move the stop to 1.0990. Risk 10 pips, reward stays 40. Ratio 1:4.

Looks better. But if normal price movement frequently reaches 1.0990 before moving higher, the tighter stop may dramatically reduce win rate. The ratio improved. The strategy may not have.

Risk-to-Reward and Target Placement

Same trade: entry 1.1000, stop 1.0980, target 1.1040 — ratio 1:2. Move target to 1.1080. Now reward 80 pips. Ratio 1:4.

Again: looks fabulous. But if price rarely reaches 1.1080, you've simply moved the finish line farther away.

Planned Risk-to-Reward vs. Actual Results

Suppose every trade is planned at 1:3. After 100 trades, your journal shows average winner 1.4R, average loser 0.9R. Your actual win/loss relationship is approximately 1:1.56.

That's the number you should use when analyzing historical performance. The planned ratio tells you about trade setup. The realized ratio tells you about trade performance.

Why Might Actual R:R Be Different?

Because you take partial profits, close early, trail stops, move stops, scratch trades, experience slippage, exit before news, or manage the trade according to changing conditions. Your actual trading rarely looks exactly like "target or stop, nothing in between."

Partial Profits Change Your Actual Reward

Suppose stop = 20 pips, final target = 60 pips — the chart shows 1:3. But you close 50% at +20, 25% at +40, 25% at +60. Weighted result: 35 pips.

Relative to 20 pips risk, that's +1.75R. Your final target was 3R. Your full trade made 1.75R. Important difference.

Moving to Break Even Changes the Distribution Too

Suppose 1:3 planned setup. After price reaches +1R, you move the stop to break even. Some trades that would have eventually reached +3R may now close 0R. Others avoid -1R losses.

Whether that's beneficial depends on how often each scenario occurs. Test it.

Risk-to-Reward and Break-Even Win Rate

Risk-to-Reward	Break-Even Win Rate
1:0.5	66.7%
1:1	50%
1:1.5	40%
1:2	33.3%
1:3	25%
1:4	20%
1:5	16.7%

This is why larger winners allow lower win rates. But again: only if those larger winners actually happen.

Risk-to-Reward and Expectancy

Suppose R:R = 1:2, win rate = 45%.

Expectancy = (0.45 × 2) − (0.55 × 1) = 0.90 − 0.55 = +0.35R

Now suppose R:R = 1:4, win rate = 18%.

Expectancy = (0.18 × 4) − (0.82 × 1) = 0.72 − 0.82 = -0.10R

The bigger ratio lost. Because the win rate dropped too far.

Risk-to-Reward and Profit Factor

Suppose over 100 trades your gross winning R is +80R, gross losing R is -50R.

Profit factor = 80 ÷ 50 = 1.6

The planned R:R helped shape those results. But profit factor tells you what the actual wins and losses produced across the entire sample. That's why both numbers are useful.

Risk-to-Reward and Position Size

Account $10,000, risk 1%, dollar risk $100. Trade 1:3 — potential loss $100, potential profit $300.

Now suppose your stop is 20 pips. The Position Size Calculator determines the lot size required to make those 20 pips equal $100 risk. These calculators solve different parts of the trade.

The Order Matters

A clean planning process is:

1. Determine your entry.

2. Determine the logical stop.

3. Determine the logical target.

4. Calculate risk-to-reward.

5. Decide whether the setup meets your rules.

6. Determine account risk.

7. Calculate position size.

Notice what's missing: move everything around until the calculator says 1:3.

Use the Calculator Before the Trade

Risk-to-reward is primarily a planning metric. Suppose potential setup: risk 25 pips, reward 30 pips — ratio 1:1.2.

If your tested rules require a minimum 1:1.5, then: no trade. Not because 1:1.2 is universally bad. Because it doesn't meet the requirements of the method you're testing.

Minimum R:R Rules Need to Be Tested

Suppose you decide "never take less than 1:2." Why? If your backtest demonstrates that 1:1.5 setups produce excellent expectancy, you may be unnecessarily rejecting good trades. Rules should come from evidence. Not trading memes.

Compare Different R:R Filters

Filter	Trades	Expectancy
All valid setups	300	+0.25R
Minimum 1:1.5	240	+0.32R
Minimum 1:2	170	+0.38R
Minimum 1:3	60	+0.20R

Interesting. Filtering improved performance up to a point. Then it got worse. That's exactly the kind of thing worth testing.

Watch for Overfitting

Maybe your backtest shows minimum 1:2.37 produces the perfect historical result. Wonderful. That's suspiciously specific.

Don't torture your historical data until it gives you the answer you wanted. Simple, logical rules that remain useful across different samples are generally more convincing than hyper-specific optimization.

Compare R:R by Setup

Maybe Setup A naturally produces 1:3, Setup B 1:1.5, Setup C 1:4. That doesn't automatically make Setup C the best. Calculate actual win rate, average winner, average loser, expectancy, profit factor, and drawdown. Each setup has a complete performance profile.

Compare R:R by Market Condition

Maybe your targets naturally extend farther during strong directional moves and contract during ranges. If your method recognizes different market conditions, your expected reward may legitimately vary. You don't necessarily need the exact same R:R on every trade.

Fixed Targets vs. Structural Targets

A fixed target might be "always 2R." A structural target might be previous high, previous low, support, resistance, or another objective level defined by your method. Both approaches can be tested. The important thing is that the rules are clear enough to evaluate consistently.

Structural Targets Produce Variable R:R

Suppose three setups have the same 20-pip stop.

Trade	Target	Ratio
A	30 pips	1:1.5
B	40 pips	1:2
C	70 pips	1:3.5

If targets come from market structure, that's completely normal. Your method can decide whether each offers enough potential reward to justify the trade.

Fixed R Targets Produce Variable Price Targets

If your strategy always targets 2R, then: 10-pip stop → 20-pip target, 20-pip stop → 40-pip target, 35-pip stop → 70-pip target.

Here the target distance changes because the stop distance changes. Again: different approach. Test it.

Risk-to-Reward Doesn't Tell You Probability

This is worth hammering home. Trade A: 1:2. Trade B: 1:8. You cannot conclude Trade B is better.

Maybe Trade A reaches target 55% of the time. Trade B: 6%. Risk-to-reward measures payoff. It does not measure probability. You need historical data for that.

This Is Why R:R Alone Cannot Define a Good Trade

A trade can have beautiful R:R and terrible setup quality. A trade can have moderate R:R and excellent historical probability. Your method defines the setup. Risk-to-reward helps evaluate the payoff structure. It is not a substitute for the method.

Don't Ignore Trading Costs

Suppose stop = 5 pips, target = 10 pips. Looks like 1:2. But total spread and commission effectively cost 1 pip. On a tiny stop and target, that's significant. Your real payoff relationship may be worse. The smaller your targets, the more trading costs matter.

Slippage Can Change Actual Risk

Suppose planned stop = 20 pips. News hits. Actual fill = 25 pips away. Your planned risk: 1R. Actual loss: 1.25R.

Your original risk-to-reward calculation did not change. But your realized trade did. That's why planned and actual statistics should both be recorded.

Risk-to-Reward Can Help With Trade Selection

Suppose you have three valid setups: A = 1:1.1, B = 1:2, C = 1:3. If your strategy data says trades below 1:1.5 historically perform poorly, you may reject A.

Now B and C remain. But don't automatically choose C simply because 3 > 2. Setup quality and historical probability still matter.

R:R Is Especially Useful Before Entering

Once you're already in the trade, staring at the original ratio can become misleading. Suppose the trade moves halfway to target. Your remaining potential reward and current risk have changed.

But the original trade still began with 1:3 planned R:R. Keep your original statistics intact. Don't constantly rewrite the original setup as price moves.

Record Planned R:R in Your Journal

For each trade, consider recording entry, initial stop, initial target, planned R:R. Then after the trade: actual R.

Now you can compare what you planned with what you actually captured. That can expose extremely useful patterns.

Example

Across 100 trades: average planned reward 2.8R, average realized winner 1.2R. That's a big gap. Why?

Maybe your management rules intentionally create it. Or maybe you're consistently cutting winners short. That's something worth knowing.

You Can Also Track Target Hit Rate

Suppose 100 trades, original target reached 30 times. Target hit rate: 30%. Original target: 3R. Break-even requirement: 25%. Interesting.

Now calculate the actual losses, partials, and break-even trades to determine real expectancy. This gives you a more complete picture.

Don't Judge a Losing Trade by Its R:R

Suppose a trade had 1:4 risk-to-reward. It loses -1R. Was the trade bad? Not necessarily. If the setup followed your rules, a loss is simply one outcome.

Likewise, a terrible setup with 1:1 can win. Outcome does not determine whether the decision was good.

Don't Judge a Winning Trade by It Either

Suppose you take a completely random trade. No valid setup. Stop 10 pips, target 50 pips. It wins +5R. Wonderful result. Still potentially a bad decision.

Risk-to-reward doesn't magically turn undisciplined trades into valid setups.

The Goal Is Repeatable Positive Expectancy

Ultimately, we care about the combination of setup quality, win rate, average winner, average loser, risk-to-reward, execution, trading costs, and risk management. Risk-to-reward is one part of that system. An important part. Not the whole damn thing.

Keep Learning

Use the Risk-to-Reward Calculator alongside the Trade Tribe HQ Resources section:

• Position Size Calculator

• Risk Percentage Calculator

• R-Multiple Calculator

• Break-Even Win Rate Calculator

• Partial Take-Profit Calculator

• Trade Expectancy Calculator

• Profit Factor Calculator

Risk-to-reward answers: how much am I potentially making compared with what I'm willing to lose? That's important.

But the next question is just as important: how often does this setup actually deliver that reward?

Because you can draw a 1:27 target on absolutely anything. The calculator will happily confirm your math. The market remains under no obligation to participate.

Educational purposes only. Forex trading involves substantial risk. Risk-to-reward calculations compare planned loss and reward distances and do not represent the probability of either outcome. Actual results may differ because of execution, slippage, spread, commissions, trade management, and changing market conditions.