Risk Reward Ratio in Indian Markets, With Real Rupee Examples

What The Risk Reward Ratio Actually Measures

The risk reward ratio is the distance from your entry price to your stop loss, compared with the distance from your entry to your target. Risk is what you lose per unit if the stop is hit. Reward is what you gain per unit if the target is reached. If you buy at 100, keep a stop at 95 and aim for 110, your risk is 5 points and your reward is 10 points, so the ratio is 5 to 10, which simplifies to 1 to 2.

The ratio on its own does not tell you whether a trade is good. It must be read together with your win rate. A 1 to 3 trade that only wins 1 time in 5 is a loser, while a 1 to 1 trade that wins 7 times in 10 is a winner. The job of a healthy ratio is to let you survive a normal losing streak and still come out ahead. In Indian intraday and positional trading, where leverage and gap risk are real, this cushion matters a great deal.

Notice we measure the ratio in points or rupees, not in percentages of capital. The percentage of capital you risk is a separate decision called position sizing, and it works hand in hand with the ratio. The ratio decides where the stop and target sit. Position sizing decides how many lots or shares you take so that a stop loss costs you only a fixed slice of your account.

Worked Example One: A Nifty 50 Futures Long

Suppose Nifty 50 futures are trading at 23,400 and you go long, expecting a bounce. You place your stop loss at 23,300, which is 100 points below entry, and your target at 23,600, which is 200 points above. The point ratio is 100 risk to 200 reward, which is 1 to 2. One Nifty futures lot is 65 units, so every point is worth 65 rupees.

• Risk per lot if the stop hits: 100 points times 75 equals 7,500 rupees.
• Reward per lot if the target hits: 200 points times 75 equals 15,000 rupees.
• Gross risk reward ratio: 7,500 to 15,000, which is 1 to 2.
• Capital blocked: Nifty futures need roughly 1.4 to 1.6 lakh rupees of SPAN plus exposure margin per lot, so this is not a small position.

Now bring in costs, which the old generic example ignored completely. On a futures trade the main charges are brokerage, STT of 0.02 percent on the sell side, exchange transaction charges, SEBI turnover fee, stamp duty on the buy side and 18 percent GST on brokerage plus transaction charges. For a single Nifty futures round trip at this size the total charges typically land around 50 to 120 rupees with a discount broker, depending on the exact contract value. That is small against a 15,000 rupee target but it still shifts your real break even slightly above entry, so a trade that looks like exactly 1 to 2 on the chart is a touch worse net of costs.

Worked Example Two: A Bank Nifty Monthly Option Buy

Option buying changes how the ratio behaves because your maximum loss is the premium you pay, while your reward depends on how far the option moves. Say Bank Nifty is at 50,000 and you buy a monthly 50,000 call for a premium of 300. One Bank Nifty lot is 30 units, so the premium costs 300 times 30, which is 9,000 rupees per lot. That 9,000 is your theoretical maximum loss if you hold to expiry and the option goes to zero.

But disciplined buyers do not hold to zero. Suppose you set a stop where the premium falls to 200, cutting your loss to 100 points, and a target where the premium rises to 500, a gain of 200 points. Risk is 100 points times 15 equals 1,500 rupees. Reward is 200 points times 15 equals 3,000 rupees. The ratio is 1,500 to 3,000, again 1 to 2. Notice the ratio is built from premium movement, not the index level.

• Premium paid: 300 points times 15 equals 4,500 rupees per lot.
• Loss if stopped at 200: 100 points times 15 equals 1,500 rupees.
• Profit if target 500 hits: 200 points times 15 equals 3,000 rupees.
• Theta decay works against the buyer every day, so a sideways market can quietly erode the premium even when the index has not fallen.

On option buying the STT is charged at 0.1 percent on the sell side of the premium, which is small in rupee terms here, but the bid ask spread on weekly options can be wide near the close and in far strikes. A 2 to 3 point spread on a 300 premium is a real cost that worsens your effective ratio, so treat the spread as part of your risk. This is why liquid at the money and near the money weekly strikes are friendlier to a clean risk reward plan than illiquid far strikes.

Worked Example Three: A Reliance Cash Delivery Trade

For equity delivery the ratio works the same way but the tax treatment differs from F&O. Suppose you buy 200 shares of Reliance Industries at 2,900 for delivery, set a stop at 2,820 and a target at 3,060. Risk is 80 points per share and reward is 160 points per share, so the chart ratio is 1 to 2 once more. Across 200 shares that is 16,000 rupees of risk against 32,000 rupees of reward before costs.

• Position value at entry: 200 shares times 2,900 equals 5,80,000 rupees.
• Risk if stopped at 2,820: 80 times 200 equals 16,000 rupees.
• Reward if target 3,060 hits: 160 times 200 equals 32,000 rupees.
• Delivery STT is 0.1 percent on both buy and sell, so roughly 580 rupees buy plus about 612 rupees sell at target, which is a real drag worth modelling.

On the tax side, because this is delivery the profit is a capital gain, not business income. If you sell within 12 months the gain is short term and taxed at 20 percent. If you hold beyond 12 months it is long term and taxed at 12.5 percent on gains above 1.25 lakh rupees in the financial year. So a 32,000 rupee short term gain attracts about 6,400 rupees of tax plus cess, which means your after tax reward is closer to 25,000, changing your real net ratio from 1 to 2 toward roughly 1 to 1.6. A serious trader always thinks in after cost, after tax terms.

Win Rate, Expectancy And Why The Ratio Alone Is Not Enough

The reason a 1 to 2 ratio is popular is the maths of break even. With a 1 to 2 ratio each winner pays for two losers, so you only need to win about 34 percent of trades to break even before costs. Push the ratio to 1 to 3 and your break even win rate drops to about 25 percent. This is what lets trend followers be wrong most of the time and still grow their account.

The single most useful number is expectancy, which is your average profit per trade across many trades. Expectancy equals win rate times average win minus loss rate times average loss. A positive expectancy means the system makes money over time even with losing streaks, while a negative expectancy loses money no matter how exciting individual trades feel. The ratio is one input into expectancy, the win rate is the other, and you must respect both.

Tying The Ratio To Position Sizing

Most blow ups in Indian trading come not from a bad ratio but from oversized positions. The professional rule is to risk a fixed small percentage of capital per trade, commonly 1 to 2 percent, and then let the stop distance decide how many lots or shares you can take. The ratio sets the stop. The account size sets how big the bet may be.

• Decide your maximum loss per trade first, for example 2 percent of a 5 lakh account, which is 10,000 rupees.
• From your stop distance, work out the loss per lot. In the Nifty example above one lot risked 7,500 rupees, so one lot fits inside a 10,000 rupee budget but two lots would breach it.
• Only after the size is fixed do you confirm the target. The 1 to 2 ratio then tells you the reward in rupees you are playing for.
• Never widen the stop to fit a bigger position. Shrink the position to fit the correct stop.

This ordering protects you from a common trap. Traders fall in love with a target, take a huge position, then place a tight stop that gets hit by normal noise. By fixing the rupee risk first and sizing down, you keep any single loss survivable, which is the whole point of the ratio. Our risk reward calculator lets you plug in entry, stop, target and lot size to see the rupee numbers instantly.

How Indian Costs And Taxes Change Your Real Ratio

A ratio measured only on price is a chart ratio. The ratio that hits your bank account is the net ratio after costs and tax. F&O profits are treated as business income and taxed at your income slab rate, while delivery equity is taxed as capital gains, short term at 20 percent and long term at 12.5 percent above 1.25 lakh rupees per year. These different treatments mean two trades with the same chart ratio can have very different after tax outcomes.

Choosing Realistic Stops And Targets

A ratio is only meaningful if both the stop and the target are placed at prices the market can actually reach. The most common error is keeping a beautiful 1 to 3 ratio by setting a stop so tight that random intraday wiggle hits it almost every time. The fix is to anchor the stop to market structure, for example below a recent swing low or beyond the average true range, and only then measure the reward to a real level such as a prior high or a round number.

• Place the stop where your trade idea is proven wrong, not at a round rupee figure picked for comfort.
• Set the target at a level the price has reason to reach, such as a previous high, a VWAP band or a key option strike.
• If the resulting ratio is worse than 1 to 1.5, consider skipping the trade rather than forcing the numbers.
• Account for gaps. Stocks and indices can open far from your stop after overnight news, so your real risk on positional trades can exceed the planned amount.

Volatility matters too. During events like the RBI policy, the Union Budget or quarterly results, ranges widen and a stop that was safe yesterday can be hit by normal movement today. In high volatility you often need a wider stop, which means either a closer target or a smaller position to keep the rupee risk fixed. The ratio adapts to conditions, it is not a fixed rule you apply blindly.

Common Mistakes Indian Traders Make

The first mistake is moving the stop loss further away once the trade goes against you, hoping for a recovery. This silently destroys your ratio, turning a planned 1 to 2 into something like 1 to 0.5, and it is the single most expensive habit in retail F&O. The second mistake is booking profits too early out of fear while letting losers run, which inverts a good system into a losing one.

• Widening the stop after entry, which converts a small planned loss into a large unplanned one.
• Ignoring costs and tax, so trades that look profitable on the chart lose money in the account.
• Using illiquid far option strikes where the spread alone ruins the ratio.
• Chasing a high ratio like 1 to 5 with a win rate too low to support it, leading to a long string of losses and emotional breakdown.
• Risking too large a share of capital so that one normal losing streak wipes out months of gains.

The cure for all of these is a written plan and a trading journal that records the planned ratio, the actual exit and the reason. Over a few dozen trades the journal reveals whether you actually follow your ratios or quietly sabotage them under pressure. Discipline, not a clever formula, is what makes the risk reward ratio work.

Putting It All Together

A practical workflow ties everything above into a repeatable routine. First decide the rupee risk you allow per trade as a small percentage of capital. Second find a setup and place the stop where the idea is invalidated, then measure the target to a real level to get the ratio. Third size the position so the stop costs only your allowed rupee risk. Fourth subtract realistic costs and expected tax to see the true net ratio, and only take the trade if it still pays.

Across our three examples, Nifty futures, a Bank Nifty monthly call and Reliance delivery, the chart ratio was 1 to 2 in each case, yet the rupee outcomes, the margins required, the costs and the tax all differed. That is the real lesson: the ratio is a starting frame, and the instrument, the lot size and the Indian tax rules decide what actually lands in your account. Treat every example here as illustrative, never as a promise of returns, and confirm live contract specifications before trading.

Sources And Further Reading

For authoritative data and further reading refer to Zerodha Varsity, NSE India and SEBI. Always confirm current rules, rates, lot sizes and contract specifications on the official source before you trade.

Sources and Further Reading

For authoritative data and further reading on this topic, refer to Zerodha Varsity, Investopedia and NSE India. Always confirm current rules, rates and contract specifications on the official source before you trade.