The ratio that separates consistently profitable traders from those who eventually blow up their accounts.
The risk-reward ratio (R:R) is perhaps the single most important concept in trading. It measures how much potential profit you stand to make relative to the potential loss you are willing to accept on any given trade. A ratio of 1:2 means you are risking ₹1 to potentially earn ₹2. This seemingly simple concept is the foundation on which all sustainable trading strategies are built.
Most new traders obsess over their win rate — they want to be "right" more often than they are "wrong." This instinct, while psychologically understandable, leads to poor trading outcomes. A trader with a 70% win rate can still consistently lose money if their average loss is far larger than their average profit. Conversely, a trader who wins only 40% of the time can be highly profitable if their winners are significantly larger than their losers.
In the Indian market context, where intraday traders deal with high-leverage instruments like Nifty futures (lot size 75), Bank Nifty futures (lot size 30, now 15 post SEBI changes), and weekly options, the R:R ratio becomes even more critical. A single bad trade with poor risk management can wipe out the profits of a dozen good trades. SEBI's peak margin rules and the inherent volatility of Indian indices make disciplined R:R management non-negotiable.
The R:R ratio works in tandem with your win rate to determine your overall expectancy — the average amount you can expect to earn (or lose) per trade over a large sample size. Understanding this mathematical relationship frees you from the psychological need to always be right and allows you to trade with a calm, systematic mindset even during losing streaks.
Calculating R:R is straightforward, but identifying the correct inputs — your entry, stop loss, and target — requires skill and discipline. The formula itself is simple division.
Potential Risk = Entry Price − Stop Loss Price (for long trades)
Potential Reward = Target Price − Entry Price (for long trades)
For Short Trades: Risk = Stop Loss − Entry; Reward = Entry − Target
Example: Entry ₹500, SL ₹490, Target ₹520 → Risk = ₹10, Reward = ₹20 → R:R = 2:1
Notice the convention: when we say a trade has a "2:1 R:R," we mean reward is 2 times risk — you earn ₹2 for every ₹1 risked. Some traders write this as 1:2 (risk:reward) and some as 2:1 (reward:risk). In this guide we use the reward:risk format, so higher numbers are always better. Always clarify which convention someone is using when discussing trades.
Suppose Reliance is trading at ₹2,800 and has broken above a key resistance level with strong volume. You decide to go long.
Entry: ₹2,810 (after confirmation candle closes)
Stop Loss: ₹2,770 (below the breakout candle low and the previous resistance-turned-support)
Target: ₹2,930 (next major resistance / measured move target)
Risk per share: ₹2,810 − ₹2,770 = ₹40
Reward per share: ₹2,930 − ₹2,810 = ₹120
R:R Ratio: 120 ÷ 40 = 3:1 — an excellent trade setup.
With 50 shares, you risk ₹2,000 to potentially earn ₹6,000.
This is the counterintuitive insight that transforms how you think about trading. Let's do the math together using a concrete example with 20 trades.
| Scenario | Win Rate | Avg Win (₹) | Avg Loss (₹) | R:R | Result (20 trades) |
|---|---|---|---|---|---|
| Trader A | 70% | +1,000 | −3,000 | 0.33:1 | −4,000 (LOSS) |
| Trader B | 40% | +3,000 | −1,000 | 3:1 | +18,000 (PROFIT) |
| Trader C | 50% | +2,000 | −1,000 | 2:1 | +10,000 (PROFIT) |
| Trader D | 60% | +1,000 | −1,000 | 1:1 | +4,000 (PROFIT) |
Trader A, despite winning 70% of their trades, loses money because their losses are 3x their wins. This pattern is extremely common among new traders who cut winners too early (out of fear of giving back profits) but hold losers hoping they'll recover. The result is small, frequent wins and occasional catastrophic losses.
Trader B wins only 40% of the time — they're "wrong" more often than they're "right" — but their 3:1 R:R makes them consistently profitable. Professional trend-following traders often operate at win rates between 35–50%, compensated by letting their winners run far.
Trader A: (0.70 × ₹1,000) − (0.30 × ₹3,000) = ₹700 − ₹900 = −₹200 per trade
Trader B: (0.40 × ₹3,000) − (0.60 × ₹1,000) = ₹1,200 − ₹600 = +₹600 per trade
Positive expectancy means you have an edge. Negative expectancy means you will eventually go broke, regardless of short-term luck.
Given brokerage, taxes (STT, exchange charges, GST), and slippage, most intraday traders in India need at least a 1.5:1 R:R just to break even over time. Once you factor in that no strategy wins 100% of the time, the practical minimums are higher. Here are the guidelines most experienced Indian traders follow:
Minimum 1.5:1, ideally 2:1 or higher. High transaction costs on F&O (STT on options is on premium, not notional) eat into margins. With a 50% win rate, you need at least 1:1 just to cover costs, so target higher.
Minimum 2:1, ideally 3:1. Overnight risk (gap-ups/gap-downs at open) means your stop can be triggered at a worse price than planned. A wider stop requires a proportionally larger target to maintain the ratio.
Minimum 3:1, ideally 4:1 or more. Holding through volatility requires accepting larger intraday fluctuations. The potential reward must justify the extended capital commitment and opportunity cost.
Minimum 3:1, often 5:1 or more. Time decay (theta) works against you constantly. You need large moves to profit, so only trade setups with very high potential rewards relative to the premium paid.
Nifty is at 22,400. You see a bull flag forming after a strong morning rally. You decide to go long on Nifty Futures.
Entry: 22,420 (breakout of flag resistance)
Stop Loss: 22,360 (below flag support — 60 points risk)
Target: 22,540 (previous day high — 120 points reward)
R:R = 120 ÷ 60 = 2:1 ✓
With 1 lot (75 units): Risk = 75 × 60 = ₹4,500 | Reward = 75 × 120 = ₹9,000
Bank Nifty is at 48,500 on Tuesday. You expect a move down to 48,000 before Thursday expiry after a double top pattern.
Buy 1 lot of Bank Nifty 48,200 PE at ₹180 premium. Lot size = 15 (post SEBI revision).
Stop Loss: Premium falls to ₹90 (50% of premium — risk ₹90 × 15 = ₹1,350)
Target: Premium rises to ₹450 (reward ₹270 × 15 = ₹4,050)
R:R = ₹4,050 ÷ ₹1,350 = 3:1 ✓
This is the minimum acceptable for options buying given theta decay risk.
Good R:R setups don't just happen — you have to identify them through careful chart analysis and discipline. The key is to identify your stop loss first (based on technical levels), then check if a reasonable target exists that gives you the R:R you need. If it doesn't, pass on the trade.
One of the most powerful techniques is to use support and resistance zones to define your stop loss naturally. If you're buying TCS near a strong support zone at ₹3,800 and the zone is about 30 points wide, your stop goes just below ₹3,770. Now calculate how far the next meaningful resistance is — if it's at ₹3,920, that's 120 points away, giving you a 4:1 R:R. This is an excellent setup. If resistance is only at ₹3,840, that's just a 2.3:1 R:R — still acceptable, but less ideal.
R:R must be considered together with win rate. A scalper with a 75% win rate can be profitable with 1.2:1 R:R. The key is that your expectancy (win rate × avg win − loss rate × avg loss) must be positive. Evaluate trades based on expectancy, not R:R in isolation.
A trade with a 5:1 R:R is worthless if the probability of reaching the target is extremely low. Unrealistic targets that are far from any support/resistance are unlikely to be hit. Your target must be at a realistic, technically justified price level.
R:R is a dynamic concept. As a trade moves, you can adjust your stop (trail it) to lock in profits, which improves your effective R:R over time. Active management of open positions is key to maximizing realized R:R. Use trailing stops to protect profits and let winners run further.
On paper, a 60% win rate at 1:1 R:R gives positive expectancy. But in practice, brokerage (Zerodha charges ₹20 per order), STT, exchange fees, GST, and SEBI charges can easily consume the edge. In Indian markets, always add transaction costs to your loss estimate before calculating effective R:R.
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