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    How to Set Realistic Profit Targets in Indian Markets

    Quick answer

    Set realistic profit targets with risk-reward math, a worked Infosys stop-loss example, Indian costs, STT and tax. Practical, accurate guide.

    19 June 2026
    15 min read
    2,811 words

    Key Takeaways

    • 1.A profit target is only meaningful when it is paired with a defined stop-loss, because the two together give you a risk-reward ratio. Aim for at least 1:2, meaning you risk Rs 1 to make Rs 2.
    • 2.For the worked Infosys example, a Rs 1,500 entry with a Rs 1,455 stop and a Rs 1,640 target gives a risk of Rs 45 and a reward of Rs 140, a ratio of about 1:3.1, which is a high quality setup.
    • 3.Your win rate and your risk-reward ratio must work together. At 1:2, you only need to be right about 40 percent of the time to break even before costs, so realistic targets are about math, not optimism.
    • 4.Indian costs matter. Brokerage, STT, exchange fees, GST, stamp duty and SEBI charges shave real money off every trade, and short-term equity gains are taxed at 20 percent, so set targets that survive after costs and tax.
    • 5.Numbers here are illustrative and not a promise of returns. Always size positions so a single stop-loss hit costs no more than 1 to 2 percent of your capital.

    Why a Profit Target Means Nothing Without a Stop-Loss

    Most beginners obsess over the target and ignore the stop. That is the wrong order. A target is just the upper end of a trade. The lower end, your stop-loss, is what actually defines how much you can lose. Until you know both numbers, you cannot say whether a trade is worth taking. The single number that ties them together is the risk-reward ratio, calculated as the distance from entry to stop versus the distance from entry to target.

    Think of it like this. If you are willing to lose Rs 45 per share to chase Rs 140 per share, you have a risk-reward ratio of roughly 1:3.1. That is excellent. But if you are willing to lose Rs 100 per share to chase Rs 30, you have a 1:0.3 ratio, and even a high win rate will not save that account over time. Setting a realistic profit target therefore starts at the stop, not at the dream price. You place the stop where your trade idea is clearly wrong, then you measure outward to a target the chart can actually reach.

    This is also why a round number like Rs 1,640 should never be picked in isolation. It needs a partner. Below we take the original Infosys example and complete it with a real stop, real maths and real Indian trading costs so the target stands on solid ground.

    The Risk-Reward Ratio Formula, Step by Step

    The formula is simple arithmetic. Risk per share equals entry price minus stop-loss price for a long trade. Reward per share equals target price minus entry price. The risk-reward ratio is reward divided by risk, usually written as 1 to that result. You want the reward side to be at least twice the risk side before you take the trade.

    • Risk per share = Entry price minus Stop-loss price.
    • Reward per share = Target price minus Entry price.
    • Risk-reward ratio = Reward per share divided by Risk per share, expressed as 1 to that number.
    • Position size = (Capital you will risk in rupees) divided by (Risk per share). This keeps each loss inside 1 to 2 percent of your account.
    Tip

    Decide your stop and your risk-reward ratio BEFORE you enter. If a chart only offers you a 1:1 setup, the disciplined move is often to skip it and wait. You do not have to trade every day to make money in Indian markets.

    Worked Example: Infosys Long Trade with a Defined Stop

    Let us take the original setup and finish it properly. You buy 100 shares of Infosys at Rs 1,500, a total outlay of Rs 1,50,000. The chart shows clear support at Rs 1,460 and resistance at Rs 1,650. A sensible swing-trade stop sits just below support at Rs 1,455, because if support breaks the bullish idea is wrong. The profit target stays at Rs 1,640, slightly below the Rs 1,650 resistance so your sell order fills before sellers crowd in. All numbers are illustrative.

    Now the maths. Risk per share is Rs 1,500 minus Rs 1,455, which is Rs 45. Reward per share is Rs 1,640 minus Rs 1,500, which is Rs 140. The risk-reward ratio is 140 divided by 45, which is about 1:3.1. On 100 shares, the maximum planned loss if the stop hits is Rs 4,500, and the planned gross profit if the target hits is Rs 14,000. That is the kind of asymmetry a realistic target should give you.

    Position sizing check: if your account is Rs 3,00,000 and you cap risk at 1.5 percent, you can risk Rs 4,500 on this trade. Risk per share is Rs 45, so Rs 4,500 divided by Rs 45 equals exactly 100 shares. The trade fits your rules perfectly. If support had been further away, say a Rs 60 stop, you would have had to buy fewer shares to keep the rupee loss the same, not widen your risk.

    The Infosys Trade After Real Indian Costs and Tax

    Gross profit is not take-home profit. On a delivery equity trade in India you pay brokerage (zero at discount brokers for delivery, but small at full-service ones), STT at 0.1 percent on both buy and sell, exchange transaction charges, 18 percent GST on brokerage plus exchange charges, stamp duty on the buy side, and tiny SEBI charges. For a Rs 1,50,000 buy and a Rs 1,64,000 sell at a discount broker, total costs land roughly in the Rs 350 to Rs 450 range, driven mostly by STT of about Rs 314 across both legs. So the gross Rs 14,000 becomes about Rs 13,600 before tax. These figures are illustrative; confirm your broker's exact slab.

    Tax then applies. If you held the Infosys shares for 12 months or less, the gain is short-term and taxed at 20 percent under the post July 2024 rules. A net pre-tax gain near Rs 13,600 would attract roughly Rs 2,720 in STCG tax, leaving about Rs 10,880 in hand. If instead you held for more than 12 months, it is a long-term gain taxed at 12.5 percent above the Rs 1.25 lakh annual exemption. The lesson is that your realistic profit target should clear costs and tax with room to spare, otherwise a 1:3 chart setup can quietly become a 1:2 net outcome.

    Line itemAmount (illustrative)
    Buy: 100 shares at Rs 1,500Rs 1,50,000 outlay
    Sell: 100 shares at Rs 1,640Rs 1,64,000 proceeds
    Gross profitRs 14,000
    Total trading costs (STT, GST, exchange, stamp, SEBI)About Rs 400
    Net profit before taxAbout Rs 13,600
    STCG tax at 20 percent (held under 12 months)About Rs 2,720
    Take-home if short-termAbout Rs 10,880

    How Win Rate and Risk-Reward Work Together

    A profit target is realistic only if your win rate can support it. The breakeven win rate is 1 divided by (1 plus your reward-to-risk number). At 1:2, breakeven is 1 divided by 3, or about 33 percent. At 1:1 it is 50 percent. At 1:3 it is 25 percent. This is why traders chase higher reward-to-risk setups: it lets you be wrong more often and still grow the account.

    Risk-reward ratioBreakeven win rate (before costs)What it means
    1:150 percentYou must win half your trades just to break even. Hard.
    1:2About 33 percentWin one in three and you are even. A sensible minimum.
    1:325 percentWin one in four and you break even. The Infosys setup sits here.
    1:0.5About 67 percentAvoid. Too much to risk for too little reward.

    Costs and tax push these breakeven win rates a little higher in real life, which is one more reason to demand at least 1:2 and to favour 1:3 when the chart offers it. A realistic target is one your strategy can actually hit often enough to keep the maths positive after STT, brokerage and STCG.

    Using Support, Resistance and ATR to Place the Target

    The target should sit at a price the chart can plausibly reach, not at a number that simply looks nice. The two most reliable anchors are prior resistance and the Average True Range, or ATR, which measures how much a stock typically moves in a day. If Infosys has an ATR of about Rs 30 and you are swing trading over five to ten sessions, a Rs 140 move toward the Rs 1,650 resistance is reasonable. If you were day trading the same stock, a Rs 140 intraday target would be unrealistic and you would scale it down toward one ATR.

    • Place the target just inside a resistance level, not exactly on it, so your order fills.
    • Sanity-check the target against ATR: a swing target of two to four times the daily ATR is realistic; a ten-times-ATR target usually is not.
    • For round-number stocks and indices, expect friction near psychological levels like 1,650 for Infosys or 25,000 for Nifty.
    • If support and resistance are too close to give you 1:2, the trade is not worth taking at that entry. Wait for a better entry.

    Targets for Index Options: A Bank Nifty Example

    Profit targets in options are best framed in premium points, with the stop defined the same way. Suppose Bank Nifty is at 51,000 and you buy one lot of a monthly 51,000 call at a premium of Rs 300. The Bank Nifty lot size is 30, so the premium outlay is Rs 300 times 15, which is Rs 4,500 plus costs. You set a stop on the premium at Rs 240, risking Rs 60 per unit, and a target at Rs 420, aiming for Rs 120 per unit. That is a clean 1:2 risk-reward in premium terms. All values are illustrative.

    In rupees, the planned loss if the stop hits is Rs 60 times 15, which is Rs 900. The planned gain if the target hits is Rs 120 times 15, which is Rs 1,800. Remember that option buyers fight time decay on weekly expiries, so a realistic target must be reachable before theta eats the premium. Note also that since the October 2024 changes, STT on selling options is 0.1 percent of premium, and F&O profits are taxed as business income at your slab rate, not as capital gains. That tax treatment alone can change which targets are worth chasing for an active trader.

    Tip

    On weekly options, decide your target in premium points and give the trade a time stop as well as a price stop. If the move has not started within your planned window, exit, because theta works against buyers every hour the underlying stays flat.

    Targets by Trading Style: Intraday, Swing, Positional

    There is no single realistic target. It depends on your holding period. An intraday trader is bounded by the day's range and should size targets around one ATR. A swing trader can ride two to four times ATR over days. A positional trader or investor aligns the target with a fundamental view and may hold for months, which also moves the tax bracket from short-term toward long-term territory.

    StyleTypical holdingRealistic target sizeTax treatment on equity
    IntradaySame dayAround 1 times daily ATRSpeculative business income at slab
    SwingDays to weeks2 to 4 times daily ATR or to next resistanceSTCG 20 percent if under 12 months
    PositionalWeeks to monthsTo a major resistance or fundamental fair valueSTCG 20 percent, or LTCG 12.5 percent if held over 12 months
    Options buyingHours to a week1:2 to 1:3 in premium points before thetaBusiness income at slab

    Whichever style you trade, keep the same discipline: stop first, target measured from the stop, ratio at least 1:2, then a costs-and-tax check. The Infosys swing example above is a textbook swing setup; the Bank Nifty example is an options setup. The method is identical even though the instruments differ.

    Common Mistakes That Make Targets Unrealistic

    The biggest mistake is setting a target with no stop, which makes the risk-reward ratio undefined and the target meaningless. The second is moving the stop further away when price goes against you, which silently destroys the ratio you started with. The third is ignoring costs and tax, so a 1:3 chart trade becomes a 1:2 net trade once STT and STCG are paid. The fourth is letting a profit target balloon out of greed during a strong move instead of trailing the stop and protecting gains.

    • Setting a target with no defined stop-loss, leaving the risk-reward ratio undefined.
    • Widening the stop after entry, which quietly turns a 1:3 setup into a 1:1 disaster.
    • Forgetting that STT, brokerage, GST and STCG tax reduce the real reward.
    • Picking a round number target that the chart and the ATR cannot realistically reach in your holding window.
    • Risking more than 1 to 2 percent of capital on a single idea, so one wrong stop hurts the whole account.

    A Simple Checklist Before You Set Any Target

    Before you place an order, run the trade through a short, repeatable checklist. This turns target-setting from a feeling into a process, which is the only thing that survives across hundreds of trades on the NSE and BSE.

    • Where is my stop, and why is the idea wrong below it?
    • What is the risk per share or per premium point, in rupees?
    • Where is the nearest resistance, and is my target just inside it?
    • Is the risk-reward ratio at least 1:2? If not, skip the trade.
    • Does the net reward survive brokerage, STT, GST and tax with room to spare?
    • Does my position size keep the stop-loss loss under 2 percent of capital?
    • Have I written all of this down before entering, not after?
    Tip

    Log every planned stop, target and ratio in your trading journal before entry, then compare it to the actual exit afterwards. Over a few months this single habit reveals whether your targets are genuinely realistic or just hopeful.

    Sources and Further Reading

    For authoritative data and contract specifications, refer to Zerodha Varsity, NSE India and SEBI. Always confirm current STT rates, brokerage slabs, lot sizes and tax rules on the official source before you trade, because these change from time to time.

    Sources and Further Reading

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

    Related Topics

    profit targetsIndian stock marketNSEBSEtrading strategiesSEBI guidelinesinvestment goalsrisk management

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