Risk one dollar, make two — that's a 1:2 risk-reward ratio, and getting the order of those two numbers right matters more than it sounds like it should. Plenty of platforms and writers flip it and call the same trade a "2:1 reward-to-risk" setup instead, describing an identical position with the numbers reversed. Same math, different notation, and mixing the two up in your own head is a fast way to size a trade wrong.
This guide sticks to one convention: risk first, reward second. 1:2 always means one unit of risk for two units of reward. From there, we'll cover how the ratio is calculated, why breakeven win rate matters more than the ratio alone, and the real-world costs that quietly eat into it.
Key Takeaways
- A 1:2 risk-reward ratio means risking one unit to potentially make two. The first number is always risk, the second is always reward.
- The ratio comes straight from your entry, stop-loss and take-profit prices, no separate formula needed beyond basic subtraction.
- A higher ratio lowers the win rate you need to break even, but it doesn't guarantee a profitable strategy on its own.
- Expectancy, ratio combined with actual win rate, is what tells you whether a strategy makes money over time, not the ratio alone.
- Spreads, commissions, swaps and slippage all shave real value off the ratio you planned on paper.
The Risk-Reward Ratio, Defined Correctly
The risk-reward ratio compares how much you stand to lose against how much you stand to gain on a single trade, based entirely on where you've placed your stop-loss and your take-profit relative to your entry price.
Nothing probabilistic about the ratio itself, it's pure distance, measured in pips, points, dollars, whatever unit fits the instrument.
Why the Order of the Numbers Matters
Write "1:2" and you're saying risk : reward. Some sources write it the other way, "2:1 reward-to-risk," describing the identical trade. Both are technically correct notations, but using them interchangeably without noticing is how a trader ends up thinking a 1:2 setup and a 2:1 setup are different things when they're the same trade described two ways.
Pick one convention (this guide uses risk-first) and stay consistent with yourself.
Fast Fact
- A 1:1 risk-reward setup needs to win more than 50% of the time just to break even after costs. A 1:3 setup only needs to win a little over 25%.
The Formula: Entry, Stop-Loss and Take-Profit
Risk is the distance from your entry to your stop-loss — how much you lose if the trade goes against you and gets stopped out. Reward is the distance from your entry to your take-profit — how much you gain if the trade plays out as planned.
Divide reward by risk and you've got your ratio.
Long Trade Calculation
Buy EUR/USD at 1.0870, stop-loss at 1.0820, take-profit at 1.0970. Risk is 1.0870 minus 1.0820, or 50 pips — the room between your entry and where you'd exit at a loss. Reward is 1.0970 minus 1.0870, or 100 pips, the distance to your profit target. Reward divided by risk is 2, a 1:2 ratio.
Short Trade Calculation
The math flips direction but works the same way, since a short profits from price falling rather than rising. Sell gold at 2,080, stop-loss at 2,100, take-profit at 2,020.
Risk is 2,100 minus 2,080, or 20 dollars — the stop sits above your entry because you're short. Reward is 2,080 minus 2,020, or 60 dollars, the distance down to your target. Reward divided by risk is 3, a 1:3 ratio.
From Ratio to Probability: Breakeven Win Rate
A ratio by itself doesn't tell you if a trade is a good idea — it only becomes meaningful once you pair it with the win rate it demands. A 1:5 setup sounds far more attractive than a 1:1 one, but that's only true if the strategy behind it can actually hit the win rate the math requires. Before getting to that check, it helps to see where the required number even comes from.
The Breakeven Math
Every risk-reward ratio implies a minimum win rate needed just to avoid losing money over time, before costs. The formula: breakeven win rate equals risk divided by (risk plus reward).
A 1:2 ratio needs 1 ÷ (1+2), roughly 33.3% — win one trade in three and the ratio alone keeps you flat. A 1:1 ratio needs 1 ÷ (1+1), 50%, since every loss requires a matching win. A 1:3 ratio drops the bar to 1 ÷ (1+3), or 25%.
The relationship is inverse: the bigger the reward relative to risk, the lower the win rate you need to survive. That's the appeal of chasing a higher ratio — it buys you room to be wrong more often and still come out ahead.
It's also why the ratio can be misleading alone. A 1:5 setup only needs 16.7% to break even on paper, which sounds trivial — but that number means nothing if the setup that produces 1:5 trades doesn't actually win 16.7% of the time in practice.
Chasing bigger ratios without checking the realistic win rate for that setup is how traders end up with a strategy that looks great in the math and loses money in the market.
Expectancy: Where Risk-Reward Actually Meets Win Rate
The ratio alone doesn't tell you whether a strategy is profitable. Expectancy does: (win rate × average win) minus (loss rate × average loss). A strategy with a 1:3 ratio and a 20% win rate has an expectancy of (0.20 × 3) minus (0.80 × 1), which comes out to negative 0.20, a losing strategy on paper despite the attractive-looking ratio.
Flip the win rate to 35% on that same 1:3 setup and expectancy turns positive, (0.35 × 3) minus (0.65 × 1) equals 0.40. The ratio sets the ceiling on what's possible; your actual win rate decides whether you're anywhere near it.
Position Sizing Ties It All Together
Risk-reward ratio tells you the shape of a trade. Position sizing, how many lots or units you're actually trading, tells you how much that shape is worth in real money. A 1:2 ratio risking $500 produces a very different outcome than a 1:2 ratio risking $50, even though the ratio itself is identical.
Sizing every position around a fixed percentage of account equity, rather than a flat lot size, keeps the ratio meaningful trade to trade regardless of how far the stop happens to sit from entry.
Why a Bigger Number Isn't Automatically Better
A 1:10 ratio looks incredible on a spreadsheet. In practice, targets that far from entry are often unrealistic given the instrument's normal range, and reaching for one usually means the win rate collapses far below what the math needs to break even.
There's also a behavioral cost: a trade sitting open for a 1:10 target survives a lot more market noise, news, and second-guessing than one aiming for 1:2, and that extra time in the market is its own kind of risk that the ratio doesn't capture. Bigger isn't wrong, it's just not automatically better without checking whether the win rate actually supports it.
Real Costs That Eat Into The Ratio
Every ratio calculated from raw entry, stop and target prices is a best-case number. Real trading costs shave value off before you ever see the result.
Spread
The gap between bid and ask means your actual entry is slightly worse than the price you clicked. On a buy, you enter at the ask but your stop and target are measured against the bid, so the spread quietly widens your effective risk and shrinks your effective reward before the trade has even started moving.
Commission and Fees
A per-trade or per-lot commission is a fixed cost that eats into the reward side regardless of how the trade plays out. It's charged whether you win or lose, which means it disproportionately hurts smaller, tighter-ratio trades where the fixed fee makes up a bigger share of the potential reward.
Swap and Overnight Financing
Positions held overnight pick up a swap charge or credit, which compounds the longer a trade with a wide target stays open. A position aiming for a large reward often needs days or weeks to play out, and each night it's open adds another small deduction that a same-day calculation never accounted for.
Slippage
Your actual fill, especially on a stop-loss in a fast market, can land worse than the level you planned around — effectively increasing your realized risk beyond the ratio on paper.
The FCA has warned that CFDs are high-risk, complex products that carry a significant risk of quickly losing money, with leverage, costs and slippage part of why the real-world result rarely matches the clean number on a spreadsheet.
Worked Examples
The formula is simple enough on its own; seeing it applied across a few different instruments makes clearer how ratio, win rate and instrument-specific quirks all interact — and why the same 1:2 ratio can carry very different practical implications depending on what you're trading.
Forex: EUR/USD long
Entry 1.0870, stop-loss 1.0820, take-profit 1.0970. Risk 50 pips, reward 100 pips, a 1:2 ratio, needing roughly a 33% win rate to break even before spread and commission.
Gold: XAU/USD short
Entry 2,080, stop-loss 2,100, take-profit 2,020. Risk 20 dollars, reward 60 dollars, a 1:3 ratio, needing roughly a 25% win rate to break even, before accounting for gold's typically wider spread relative to majors.
Crypto CFD: Bitcoin long
Entry 96,000, stop-loss 94,500, take-profit 99,000. Risk 1,500, reward 3,000, a 1:2 ratio again, though position sizing needs to account for how much faster Bitcoin can move through both levels compared to Forex.
Common Mistakes
The ratio itself isn't usually where things go wrong — it's how traders arrive at it, and what they do with it afterward.
Backing Into the Stop from the Target
Setting the target first and working backward to a stop that happens to produce a nice-looking ratio, rather than basing the stop on actual chart structure. The ratio ends up flattering the trade instead of describing it, since the stop was never placed where the market itself invalidates the idea.
Ignoring Real-World Costs
Ignoring costs entirely and comparing the paper ratio directly to a strategy's real results. Spread, commission, swap and slippage don't show up in the entry-stop-target math, so a strategy that looks profitable on a spreadsheet can quietly lose money once those costs are actually deducted.
Assuming a Good Ratio Means a Good Strategy
Assuming a good ratio means a good strategy without ever checking the actual win rate against the breakeven math. A 1:3 ratio sounds reassuring on its own, but it's only useful once you know whether the setup that produces it wins often enough to clear the 25% bar it requires.
Skipping the trading journal
Skipping the trading journal, which is usually the only way to find out what your real win rate actually is at each ratio you trade, rather than guessing. Without that record, every claim about your edge is an assumption rather than a measured fact.
Conclusion
The geometry behind a risk-reward number is simple: measure entry to stop, measure entry to target, divide.
What turns that arithmetic into something worth trusting is what happens after — pairing it with a defensible win rate, subtracting the costs a spreadsheet leaves out, and checking whether live results actually track the number on paper.
Map out the entry, stop and target before a position goes live, and treat "does this work" as a separate question from the math itself.
FAQ
Is a higher risk-reward ratio always better?
No. It lowers the win rate needed to break even, but an unrealistic target can drop the win rate even lower than the ratio compensates for.
What's a good risk-reward ratio for beginners?
1:2 is a common starting point, roughly a 33% breakeven win rate against targets that are usually still realistic.
Does risk-reward ratio account for spread and commission?
Not unless you build them in manually. The raw calculation ignores costs, so real results usually run worse than the paper ratio.
How is risk-reward ratio different from win rate?
Ratio measures win size versus loss size. Win rate measures how often trades succeed. Together they give you expectancy.
Can I use the same risk-reward ratio for every trade?
Aim for a consistent minimum, but let the stop and target come from the chart, not from forcing a number.
