The risk reward ratio compares the amount you risk on a trade to the amount you expect to gain. The formula is simple: divide potential reward by potential risk. A trade where you risk $100 to make $300 has a risk reward ratio of 1:3. Anything below 1:1 means you are risking more than you can win, and almost no realistic win rate makes that sustainable.
Below you will find the formula, worked examples for crypto futures and stocks, an interactive calculation method, the breakeven win rate every R:R demands, and the mistakes I see traders repeat in their journals every week.
What is the risk reward ratio?
The risk reward ratio (often written R:R or RRR) is a single number that tells you whether a trade setup is mathematically worth taking. It is calculated from three price points: your entry, your stop-loss, and your take-profit.
Risk is the distance from entry to stop-loss multiplied by position size. Reward is the distance from entry to take-profit multiplied by position size. The ratio strips position size out of the picture and leaves you with a clean comparison.
A trade with a 1:2 risk reward ratio means you risk one dollar to potentially make two. A 1:3 ratio means you risk one to make three. A 2:1 ratio (yes, the bad direction) means you risk two to make one, which is how most undisciplined traders bleed.
How to calculate risk reward ratio (the formula)
The formula is:
Risk Reward Ratio = (Take-Profit price - Entry price) / (Entry price - Stop-Loss price) for a long
Risk Reward Ratio = (Entry price - Take-Profit price) / (Stop-Loss price - Entry price) for a short
Three steps:
- Calculate the distance from entry to stop-loss. That is your risk per unit.
- Calculate the distance from entry to take-profit. That is your reward per unit.
- Divide reward by risk. The result is the second number in your 1:X ratio.
Position size does not change the ratio. Whether you trade 0.1 BTC or 10 BTC, a setup with a $200 stop distance and a $600 target distance is always 1:3.
Worked example: long crypto futures trade
I take a BTC long at $62,000 with a stop at $61,000 and a target at $65,000.
- Risk per BTC: $62,000 - $61,000 = $1,000
- Reward per BTC: $65,000 - $62,000 = $3,000
- Risk reward ratio: 3,000 / 1,000 = 1:3
If my account is $20,000 and I risk 1% per trade, I am willing to lose $200. With a $1,000 stop distance per BTC, my position size is 0.2 BTC. If the trade hits target I make $600. If it hits stop I lose $200. That is the 1:3 in dollar terms.
Worked example: short stock trade
Short entry on a stock at $130, stop at $135, target at $115.
- Risk: $135 - $130 = $5
- Reward: $130 - $115 = $15
- Risk reward ratio: 15 / 5 = 1:3
Same ratio, different asset. The math does not care.
Risk reward ratio and breakeven win rate
A risk reward ratio is meaningless without a win rate next to it. The breakeven win rate tells you how often you must win to break even at a given R:R, before fees.
Breakeven win rate = 1 / (1 + R:R reward side)
Quick reference:
| Risk Reward Ratio | Breakeven Win Rate |
|---|---|
| 1:1 | 50% |
| 1:1.5 | 40% |
| 1:2 | 33.3% |
| 1:3 | 25% |
| 1:4 | 20% |
| 1:5 | 16.7% |
A trader with a 40% win rate at 1:2 is profitable. A trader with a 60% win rate at 1:1 is barely profitable once fees and funding rates eat in. This is why I always tell new traders to stop chasing win rate and start measuring expectancy.
Expectancy per trade = (win rate × average win) - (loss rate × average loss). If that number is positive, the system makes money over enough trades. If it is negative, no amount of discipline saves you.
What is the best risk reward ratio for day trading?
There is no single "best" ratio, but the practical band for active day trading is 1:1.5 to 1:3. Here is why:
- Scalping (1:1 to 1:1.5): Tighter targets fill more often. You need a win rate above 55% to make this work after fees and funding.
- Day trading (1:1.5 to 1:2.5): Most intraday setups on liquid crypto pairs and stock indices land in this range. Win rates of 45-55% are realistic.
- Swing trading (1:2.5 to 1:5): Wider stops, wider targets. You can survive a 35-40% win rate if your R:R is genuinely 1:3 or better.
- Position trading (1:3+): You take fewer trades, hold for weeks, and rely on big moves. Win rates often sit around 30-40%.
The ratio you target should match what your strategy actually delivers in practice, not what you wish it delivered. This is the part that most traders never check until they audit their journal.
How to set stop-loss and take-profit using risk reward
Wrong way: pick a target that gives you a nice 1:3, then place a stop wherever needed to make the ratio work.
Right way: place the stop where the trade thesis is invalidated (below structure, beyond a key level, outside expected volatility), then measure to a realistic target. If the resulting ratio is below 1:1.5, skip the trade.
For crypto futures I use ATR (Average True Range) to set stops. A typical setup: stop at 1.5x ATR from entry, target at 3x ATR. That gives a planned 1:2 before slippage and funding.
For stocks I use prior swing lows/highs as stops and the next significant supply/demand zone as the target. The R:R is whatever the chart gives me. If the chart gives me 1:0.8, I do not force the trade.
Common mistakes that destroy your real R:R
Moving the stop-loss. You enter with a planned 1:2. Price moves against you, you panic, you widen the stop. Now your real risk is double, and the ratio is 1:1 at best. This is the single most common pattern I see in trade reviews.
Cutting winners early. You enter with a planned 1:3, price moves to 1:1.2 in your favor, you take profit because "I do not want to give it back." Over 100 trades, your average reward collapses while your average loss stays full size. Realized R:R ends up at 1:0.9.
Ignoring fees and funding. On a 1:1 scalp in BTC perpetuals, taker fees plus funding can eat 20-30% of the edge. Always compute net R:R, not gross.
Cherry-picking trades. Traders look at their best winners and assume that is the system. Pull every trade from the last 90 days, calculate the average risk and average reward, and you get the realized R:R. It is almost always worse than the planned R:R.
Confusing planned with actual. Planned R:R is what you intended at entry. Realized R:R is what actually happened across the full sample. If they differ by more than 20%, you have a discipline problem, not a strategy problem.
How TraderNest tracks your real risk reward ratio
This is where most traders get stuck. You can read about R:R for hours and still have no idea what your realized number actually is. TraderNest auto-syncs every trade from Bybit, Binance, OKX, Bitget, MEXC, KuCoin, Gate.io, Kraken, Deribit, and Hyperliquid via API. Stocks come in through Alpaca. No manual entry, no missing trades.
The R:R analysis page shows your planned R:R against your realized R:R per strategy and per setup. If you said 1:3 in the plan and you are clocking 1:1.4 in execution, that gap has a name and a cause.
AI Hawk, the AI coach inside TraderNest, watches for the patterns that break your ratio. It detects Premature Exits when you consistently close winners before target. It flags Inconsistent Risk Management when your stop distance varies wildly across similar setups. It catches Fee Impact when funding and commissions eat through trades that lacked enough R:R headroom in the first place. None of the other journals (Tradervue, TradeZella, TraderSync) detect these behaviors automatically.
This is the layer that turns the math on this page into a habit. To zoom out and see how R:R fits with stop placement, position sizing, and the 1% rule, read the full guide to risk management in trading.
Do long-term investors need a risk reward ratio?
Less than active traders, but not zero. A long-term investor holding for years cares more about expected return, drawdown tolerance, and position sizing than per-trade R:R. The concept still applies on entry though. Buying a stock at $100 with a thesis-invalidation level at $80 and a price target at $200 is a 1:5 setup. If the same target sat at $108, the R:R would be 0.4 and the trade would not be worth the capital lockup.
Quick recap of the numbers that matter
- Below 1:1: avoid unless you have a verified win rate above 55%
- 1:1 to 1:1.5: needs 40-50% win rate, fits scalping
- 1:2: needs 33% win rate, the workhorse for day trading
- 1:3+: needs 25% win rate, fits swing and position trading
- Always net of fees, funding, and slippage
Knowing the formula is step one. Knowing your realized R:R across hundreds of trades is what actually moves the equity curve.
If you want to see how your planned ratios compare to your real ones, and get specific coaching on the behaviors that erode them, explore TraderNest's full risk management toolkit and connect your exchange in two minutes.
