Here is a question that trips up most traders: would you rather win 70% of your trades or have a 1:3 risk-reward ratio?
Most people pick the 70% win rate. It feels safer. More wins, more confidence, more dopamine.
But the math says the 1:3 ratio wins. And it is not even close.
The formula most traders never learn
Risk-reward ratio = (Target Price – Entry Price) ÷ (Entry Price – Stop Loss)
If you buy a stock at ₹500 with a stop loss at ₹480 and a target at ₹540:
- Risk = ₹20 per share
- Reward = ₹40 per share
- Ratio = 1:2
Now here is the formula that changes everything:
Minimum win rate to break even = 1 ÷ (1 + Reward multiple)
- 1:1 ratio — breakeven at 50%. You need to win half your trades just to survive.
- 1:2 ratio — breakeven at 33.3%. Win one in three and you still break even.
- 1:3 ratio — breakeven at 25%. Win one in four and you are not losing money.
- 1:5 ratio — breakeven at 16.7%. Win one in six and your account stays flat.
A trader with 40% accuracy and a 1:2 ratio makes more money than a trader with 60% accuracy and a 1:1 ratio. Run the numbers on any 100-trade sample and you will see it.
Why 89% of F&O traders lose money
SEBI published a study showing that 89% of individual traders in the futures and options segment lost money between FY22 and FY24. The average loss was ₹1.2 lakh per person per year.
The report did not specifically measure risk-reward ratios, but the pattern is clear from trading behaviour data: most retail traders hold losers too long and cut winners too early. This is the exact opposite of what a good risk-reward framework demands.
When you hold a losing trade hoping it will recover, you are letting a ₹20 planned loss turn into ₹80. When you book a ₹10 profit because you are scared of giving it back, you are killing your reward side. The ratio collapses from 1:2 to something like 4:1 against you.
No win rate can save you from that math.
Position sizing: the 1% rule
Risk-reward ratio tells you where to set your stop loss and target. Position sizing tells you how many shares to buy.
The rule most professionals follow: never risk more than 1–2% of your total capital on a single trade.
Example:
- Trading capital: ₹1,00,000
- Risk per trade at 1%: ₹1,000
- Entry price: ₹500
- Stop loss: ₹490
- Risk per share: ₹10
- Position size: ₹1,000 ÷ ₹10 = 100 shares
This means you invest ₹50,000 (100 shares × ₹500) but your maximum loss if the stop loss hits is ₹1,000 — exactly 1% of capital.
Why 1%? Because a string of 10 consecutive losses (which happens more often than you think) would draw down your account by roughly 10%. That is recoverable. At 5% risk per trade, 10 consecutive losses wipe out half your capital. Recovering from a 50% drawdown requires a 100% gain — something that rarely happens quickly.
The same 10 trades, different outcomes
Let's compare two traders. Both take 10 trades. Both have a ₹1 lakh account risking 1% per trade (₹1,000 risk).
Trader A: 60% win rate, 1:1 ratio
- 6 wins × ₹1,000 = ₹6,000
- 4 losses × ₹1,000 = ₹4,000
- Net profit: ₹2,000
Trader B: 40% win rate, 1:2 ratio
- 4 wins × ₹2,000 = ₹8,000
- 6 losses × ₹1,000 = ₹6,000
- Net profit: ₹2,000
Same result. But Trader B only needed to be right 40% of the time. And if Trader B's win rate creeps up to 45%, the gap widens:
- 4.5 wins × ₹2,000 = ₹9,000
- 5.5 losses × ₹1,000 = ₹5,500
- Net profit: ₹3,500
The ratio does the heavy lifting. The win rate is just a bonus.
How to actually set a 1:2 or 1:3 trade
This is where most guides stop and leave you with theory. Here is the practical process:
Step 1: Identify the setup
Find a stock at a support level with a buy signal (candlestick pattern, indicator crossover, whatever your strategy uses).
Step 2: Set the stop loss first
Look at the nearest structural level below support. If the stock is at ₹500 and the next support is ₹485, your stop loss goes at ₹483 (a few rupees below the level, to avoid stop-hunting wicks). Risk per share: ₹17.
Step 3: Check if 1:2 target is realistic
Your minimum target at 1:2 would be ₹500 + (₹17 × 2) = ₹534. Is there resistance before ₹534? If yes, the trade does not qualify — the reward path is blocked.
Step 4: Calculate position size
If your account is ₹2,00,000 and you risk 1%:
- Risk budget: ₹2,000
- Risk per share: ₹17
- Position size: 117 shares (round down to 100 for clean lots)
Step 5: Place the trade and do not move the stop
This is where discipline matters. The stop loss is set based on structure, not emotions. Moving it further away because the trade is going against you destroys the entire framework.
The three mistakes that wreck your ratio
1. Moving the stop loss
You set a stop at ₹483. The stock drops to ₹484. Instead of letting the stop do its job, you move it to ₹475 because you "feel" the stock will bounce. Now your risk has increased from ₹17 to ₹25 per share, your ratio has collapsed, and your position size is too large for the new risk.
2. Taking profit too early
Target was ₹534. The stock hits ₹520 and you panic-sell because you do not want to give back the gain. You just turned a 1:2 setup into a 1:1.2 trade. Do this consistently and your edge disappears.
3. Skipping the calculation entirely
Most retail traders buy first and figure out the stop loss later. Or worse, they do not set one at all. Without a predetermined stop, there is no risk number. Without a risk number, there is no ratio. Without a ratio, you are gambling.
What a trading journal should track
If you are serious about this, every trade in your journal needs four numbers:
- Entry price
- Stop loss price
- Target price
- Actual exit price
From these, you calculate:
- Planned R:R (target ÷ stop distance)
- Actual R:R (actual profit or loss ÷ planned risk)
- Slippage (how much your actual exit differed from your plan)
Review these weekly. If your average actual R:R is below 1:1.5, something in your execution is broken — either you are cutting winners short or letting losers run.
The bottom line
Trading is not about being right more often. It is about making more when you are right than you lose when you are wrong.
A 1:2 risk-reward ratio with 40% accuracy beats a 1:1 ratio with 60% accuracy over any meaningful sample size. The math is unambiguous.
Set your stop first. Calculate your position size. Let winners run to target. Do this for 100 trades, and the numbers will speak for themselves.
Statistics cited from SEBI's 2024 F&O trader study. Position sizing formulas are standard risk management practice taught by CMT and CFA curricula. Examples use simplified Indian equity scenarios for illustration.