--- title: "Option buyer vs seller: payoffs, margin and win rate" description: "Who can lose more on a Nifty call, what margin each side posts, and why a high win rate can still lose money, shown on one dated NSE week." source_url: "https://www.rupeecase.com/learn/path-14/module-14-3-option-buyer-vs-seller" --- [Path 14 3 of 17](/learn/path-14/)Buyer or seller: payoffs, margin, win rate and expectancy[Next 14.4](/learn/path-14/module-14-4-moneyness-intrinsic-and-time-value) On Wednesday 10 Jun 2026 a Nifty call at the 23,800 strike cost Rs 20.50 a unit. A lot is 65 units, so the buyer paid Rs 1,333 and could never lose a rupee more. The seller took in the same Rs 1,333 and had no ceiling on the loss. On Tuesday 16 Jun, Nifty closed at 23,989.15. The call was worth Rs 189.15. The seller lost 8.2 times the premium it had collected, and the buyer's Rs 1,333 became Rs 12,295. In trading group chats one sentence keeps coming back: the seller always wins. This lesson runs that sentence through the arithmetic. 3By the end you can 1. Draw the payoff of a bought and a sold call and name the side that can lose more than the premium. 2. Say what a buyer pays and what a seller must post, in SPAN and exposure margin. 3. Explain why a high [win rate](/learn/glossary#win-rate) can sit beside a negative expectancy, using the formula. Watch in the terminal: what does "Same money in NIFTY 50" mean? A short tutorial on sample data. ## The idea, plainly Think of an option as an insurance policy. The buyer pays a premium for cover. The seller is the insurer: takes the premium, promises to pay if the claim comes. Insurers win most months, because most months have no claim. Then one claim arrives and it is big. Real insurers survive because they price the risk, hold capital against it and write thousands of policies. A trader who sells one lot has one policy and a margin account. Both sides sit in one contract, so whatever one makes the other loses. Before costs the two results add to zero. The second fact is the shape. ### The buyer: pay once, lose at most that The buyer pays the premium upfront and that is the whole bill. If the index finishes at or below the strike, the call expires worthless and the premium is gone. Above the strike plus the premium the buyer makes money, and a call has no cap on the gain. So no, a bought option cannot lose more than the premium. And yes, it can be held to expiry: Nifty options settle in cash against the index close. [Module F16](/learn/path-14/module-14-6-expiry-and-settlement) covers settlement. The buyer's loss stops at the premium and the gain has no cap One lot of the 23,800 call bought for Rs 1,333 on 10 Jun 2026, weekly expiry 16 Jun. Below the strike the loss is flat. Source: NSE end of day data, computed by RupeeCase. As of 10 Jun 2026. ### The seller: collect once, carry the tail The seller's picture is the mirror. The most a seller of a call can make is the premium. The most the seller can lose has no limit, because the index has no ceiling. A put is different: the index cannot fall below zero, so a sold put loses at most the strike times 65, less the premium. For the 23,000 put that is about Rs 14.95 lakh per lot. A cap, on paper. The seller's gain stops at the premium and the loss has no cap The same lot sold. The seller keeps Rs 1,333 if the index finishes below the strike and pays more with every point above the breakeven of 23,820.50 at expiry. Source: NSE end of day data, computed by RupeeCase. As of 10 Jun 2026. ### Margin: what each side must put up The buyer's cash goes out once: the premium, collected upfront since 1 Feb 2025. The seller receives the premium and must still post margin. Two pieces. SPAN is a portfolio model of a one day loss that should be exceeded only one day in a hundred. Exposure margin, which NSE Clearing calls extreme loss margin, is 2% of the notional value of a short index option, the index level times the units, with a further 2% on short index options on their expiry day. One lot on 10 Jun 2026 had a notional value of Rs 15.1 lakh, so the exposure piece alone came to Rs 30,179. SPAN sits on top and is recalculated through the day. When the index runs against a sold option, the requirement rises, and the seller adds money or the broker closes the position. A buyer's cash goes out once. A seller's margin keeps moving SPAN is a portfolio loss estimate. The exposure piece is the extreme loss margin: 2% of notional value for short index options, and a further 2% on short index options on their expiry day. Source: NSE Clearing, Margins; SEBI circular of 1 Oct 2024. As of 16 Oct 2026. Futures are neither side of this bargain. Buyer and seller of a future both post margin, both are marked to market every day, and both can lose more than the margin posted. [Module F07](/learn/path-13/module-13-1-futures-basics-mark-to-market) covers futures. ### Win rate is not expectancy Win rate counts how often a trade makes money. Expectancy counts what a trade makes on average once the losses are counted too. Expectancy = win rate x average win less loss rate x average loss The seller of the 23,800 call is the clean case. Suppose its price of Rs 20.50 was fair for the risk. Then before costs neither side starts with an edge. What differs is the shape. The seller wins often and wins small. The buyer wins rarely and wins big. Same average, different win rate. ## Worked example: one Nifty week, 10 to 16 Jun 2026 Take the weekly chain of 10 Jun 2026, which expired on Tuesday 16 Jun. The forward was 23,229.26. We follow one call and one put to settlement, one lot each, before any charges. | Step | What we read | Value | | --- | --- | --- | | 1 | Call, strike 23,800: premium per unit | 20.50 | | 2 | One lot of 65 units: paid by the buyer, received by the seller | Rs 1,333 | | 3 | Buyer's breakeven at expiry: strike plus premium | 23,820.50 | | 4 | Nifty close on 10 Jun | 23,214.95 | | 5 | Nifty close on 16 Jun, the settlement level | 23,989.15 | | 6 | Call value on 16 Jun, per unit | 189.15 | | 7 | Buyer's result per lot: (189.15 less 20.50) x 65 | Rs 10,962 | | 8 | Seller's result per lot, the same amount reversed | −Rs 10,962 | | 9 | Put, strike 23,000: premium per lot, kept by the seller | Rs 5,480 | | 10 | Put value on 16 Jun, per unit | 0.00 | Model, not market data The seller wins often, and the few losses give back everything the wins earned Each bar is the total in rupees per hundred weeks for one lot. Prices are fair, so nobody starts with an edge. Inputs: one lot of 65 units of the Nifty 23,800 call sold at its settlement premium of Rs 20.50 a unit on 10 Jun 2026, expiry 16 Jun 2026; the forward 23,229.26 and the option's own implied volatility 14.67% over 6 calendar days; the index at expiry follows a lognormal curve around the forward; 100 weeks; before costs and interest. Source: RupeeCase model, inputs from NSE end of day data. As of 10 Jun 2026. Nearly 9 in 10 individual F&O traders lost money in FY26, and almost all mainly bought options The profitable all five years share counts only traders active in every year from FY22 to FY26. The share who mainly bought options comes from a sample that SEBI calls indicative. The other figures cover all individual traders. Source: SEBI, Profitability of Individual Traders in the Equity Derivatives Segment and Trading Behaviour study (FY25 to FY26), Aug 2026. As of 20 Aug 2026. Read 5 more paragraphs, 358 words Nifty rose 3.3% in four sessions. The buyer of the call turned Rs 1,333 into Rs 12,295. The put ran the other way: it expired worthless, so its seller kept Rs 5,480 and its buyer lost every rupee of it. One week proves nothing, since a flat week would have flipped the call. It does show the shape: small cheques in quiet weeks, a big one in a wild week. What do many weeks look like? I priced the same call in a plain model. Nifty at expiry follows a smooth curve whose width is the call's own implied volatility. Prices are fair and nobody has an edge. This is a model, not market data, and real indices gap more than a smooth curve allows, so real tails are heavier. Over a long run of modelled weeks the seller profits in about 91 of every hundred. The green bar is many small wins. The red bar is exactly as long, and its parts show where it comes from: the 4 or so worst weeks in every hundred make up about 74% of the loss. A win rate of 9 in 10 and an expectancy of zero sit in the same trade. The buyer holds the mirror: about 1 week in 11 wins, and the average win is around 10 times the premium paid. Two things bend the model. Costs come out of both sides: brokerage, exchange charges, STT of 0.15% on the premium when an option is sold, GST and slippage. Add them and both accounts sit below zero. And real options are often priced a little above the volatility that follows, which pays sellers a small premium for carrying the tail. That premium pays for the rare large loss. It is not a free gain. Now the real world. SEBI's study of FY26 found that 87.7% of individual F&O traders ended the year with a net loss, Rs 91,685 crore in all. Options carried most of that loss, and SEBI's behaviour study found that almost all traders mainly bought options. The figures do not crown a side. They show how often the group loses, and where. ## The common mistake The belief: A strategy that wins 90 percent of the time is safe. It is the easiest number to fake. Sell a far strike and you win often by design, because a far strike is rarely reached. The win rate hides the size of the loss in the weeks you lose. In the chart the seller wins about 9 weeks in 10, and the red bar is as long as the green one. So ask for the other half of the sentence: the average win, the average loss and the worst week. Judge a strategy by its expectancy, by the worst week it can have, and by whether the account is still open after that week. ## Key takeaways * A bought option risks the premium and no more. A sold call has no cap. * Before costs, the buyer's result and the seller's result add to zero. * Sellers win often in small amounts and lose rarely in large amounts. * Win rate is how often. Expectancy is how much, on average. * Sellers post SPAN plus exposure margin, and it moves through the day. * In FY26, 87.7% of individual F&O traders had a net loss, says SEBI. 3 terms this section turns on From the module glossary; every term is in the Learn glossary too. Source: Module 14.3, Buyer or seller: payoffs, margin, win rate and expectancy. **Before you trade.** Derivatives trading carries a high risk of loss. SEBI's study "Profitability of Individual Traders in the Equity Derivatives Segment (FY25 to FY26)" (August 2026) found that 87.7% of individual traders in equity F&O made net losses in FY26, with aggregate net losses of Rs 91,685 crore. [Read the SEBI study](https://www.sebi.gov.in/reports-and-statistics/research/aug-2026/study-profitability-of-individual-traders-in-the-equity-derivatives-segment-fy25-fy26-_103835.html) What does Buyer or seller: payoffs, margin, win rate and expectancy cover?One Nifty call, two accounts: who can lose more than the premium, what margin each side posts, and why winning often is not the same as making money. It works through The idea, plainly, Worked example: one Nifty week, 10 to 16 Jun 2026, The common mistake, Key takeaways. It is module 14.3 of Path 14, Options and Greeks, about 9 minutes of reading, free. TTry it ## Payoff builder, on the same example. Legs from a dated chain, the expiry and before expiry curves, breakevens and the charges. Dated NSE end of day data, nothing live, no orders. **Payoff builder**, Nifty, 10 Jun 2026, 16 Jun 2026 expiry. [Open the payoff builder](/learn/tools/payoff-builder?chain=NIFTY_2026-06-10_2026-06-16&preset=long-call) AF&O on RupeeCase ## Hedging only, in development F&O at RupeeCase will do one job: protect a portfolio you already own, by a rule published before it runs. No speculation, no naked option selling, no leveraged bets. It is not available yet. [How hedging will work](/hedging)[Sign up for RupeeCase](https://invest.rupeecase.com/signup) [No hedgeFalls with the marketWith a putA floor, for a premiumIllustration with made up numbers, not a product and not a recommendation.](/hedging) QQuick check ## 10 questions, 7 to pass. Each attempt draws 10 of the 15 questions in this module's bank, and a retake draws a fresh set. A pass gives this module's Certificate of Completion. Your result stays on this device and counts towards the Path 14 certificate. 7 of 10 correct passes module 14.3 Every answer is explained when you check; a retake is always free. Source: RupeeCase Learn quiz rules (70% to pass). Passed ### Certificate ID Download PNGPrint or save as PDF[Check the ID](/learn/certificates/verify) Self paced and unproctored. A record of completing free education by RupeeCase; not a NISM certificate and not endorsed by NISM, NSE, BSE or SEBI. It qualifies no one to deal, advise or publish research. CCheck yourself ## Path 14 so far. Your quick check results on this device, stop by stop. Stop 3 of 17 on Path 14 Options and Greeks: every live stop, this module ringed. Source: RupeeCase Learn, Path 14. 1. [14.1The call option, told as a storyNot yet](/learn/path-14/module-14-1-call-option-explained) 2. [14.2The put option, told as a storyNot yet](/learn/path-14/module-14-2-put-option-explained) 3. [14.3Buyer or seller: payoffs, margin, win rate and expectancyNot yet](/learn/path-14/module-14-3-option-buyer-vs-seller#quiz) 4. [14.4Moneyness, intrinsic value and time valueNot yet](/learn/path-14/module-14-4-moneyness-intrinsic-and-time-value) 5. [14.5Five things that move an option's priceNot yet](/learn/path-14/module-14-5-what-moves-an-option-price) 6. [14.6Expiry and settlement: cash, physical, exercise and STTNot yet](/learn/path-14/module-14-6-expiry-and-settlement) 7. [14.7Delta: speed, hedge ratio and the probability shortcutNot yet](/learn/path-14/module-14-7-delta) 8. [14.8Theta: the time decay curve into expiryNot yet](/learn/path-14/module-14-8-theta-time-decay) 9. [14.9From a binomial tree to Black Scholes and Black 76Not yet](/learn/path-14/module-14-9-binomial-tree-to-black-76) 10. [14.10Put call parity and synthetic positionsNot yet](/learn/path-14/module-14-10-put-call-parity) 11. [14.11Gamma: why it grows so fast near expiryNot yet](/learn/path-14/module-14-11-gamma) 12. [14.12Vega: volatility exposure across weekly and monthly expiriesNot yet](/learn/path-14/module-14-12-vega) 13. [14.13Rho and interest rates in Indian optionsNot yet](/learn/path-14/module-14-13-rho) 14. [14.14Position Greeks for multi leg strategiesNot yet](/learn/path-14/module-14-14-position-greeks) 15. [14.15Dynamic delta hedging and the P&L identityNot yet](/learn/path-14/module-14-15-delta-hedging) 16. [14.16Gamma scalpingNot yet](/learn/path-14/module-14-16-gamma-scalping) 17. [14.17Second order Greeks: vanna, volga, charm, speed and colourNot yet](/learn/path-14/module-14-17-second-order-greeks) 18. [TPath test, 30 questionsNot yet](/learn/path-14/module-14-17-second-order-greeks#pathTestSection) Path 14 in reading time: 149 minutes over 17 modules Minutes of reading per module, this one in amber. Source: RupeeCase Learn, Path 14. Explore next ## Put the module to work. * [Free module 12.7Position sizing and risk of ruin for F&O beginners8 min read](/learn/path-12/module-12-7-position-sizing-and-risk-of-ruin) * [Free module 12.5Margins without jargon: SPAN, exposure, expiry day margin and upfront premium8 min read](/learn/path-12/module-12-5-fo-margins-explained) * [Free module 12.6The real cost of a trade: STT, exchange fees, SEBI fee, GST and stamp duty7 min read](/learn/path-12/module-12-6-cost-of-an-fo-trade) * [Free module 14.6Expiry and settlement: cash, physical, exercise and STT8 min read](/learn/path-14/module-14-6-expiry-and-settlement) * [QuestionOption buying or option selling: which is better?A short answer with a dated chart](/learn/questions/option-buying-vs-selling) * [QuestionHow much capital do I need to trade or sell options?A short answer with a dated chart](/learn/questions/capital-needed-for-options) Community ## Join my WhatsApp group. Scan the code, fillFill one short form, and join my WhatsApp group. Slides, sources, factsheets and the rebalance logs live there, and members join a daily Google Meet with me. New to RupeeCase? [Getting started](/getting-started) [See the terminal](/terminal) [Sign up for RupeeCase](https://invest.rupeecase.com/signup) [Join the WhatsApp group](https://forms.gle/C6HMtM1Z2GfeocQV7) [One form, one group](https://forms.gle/C6HMtM1Z2GfeocQV7)Scan with your phone camera SSources ## Go to the source. 6 sources, SEBI the most cited The publisher of each source listed below. Source: Module 14.3 source list. 1. [SEBI, Profitability of Individual Traders in the Equity Derivatives Segment (FY25 to FY26), August 2026](https://www.sebi.gov.in/reports-and-statistics/research/aug-2026/study-profitability-of-individual-traders-in-the-equity-derivatives-segment-fy25-fy26-_103835.html) SEBI 2. [SEBI, Trading Behaviour of Individual Traders in the Equity Derivatives Segment (FY25 to FY26), August 2026](https://www.sebi.gov.in/reports-and-statistics/research/aug-2026/study-trading-behaviour-of-individual-traders-in-the-equity-derivatives-segment-fy25-fy26-_103836.html) SEBI 3. [NSE Clearing, Margins: SPAN, initial margin and extreme loss margin](https://www.nseclearing.in/risk-management/equity-derivatives/margins) NSE 4. [SEBI circular of 1 October 2024, Measures to strengthen the equity index derivatives framework](https://www.sebi.gov.in/legal/circulars/oct-2024/measures-to-strengthen-equity-index-derivatives-framework-for-increased-investor-protection-and-market-stability_87208.html) SEBI 5. Hull, J., Options, Futures, and Other Derivatives, Pearson (properties of options and trading strategies) Book 6. [Carr, P. and Wu, L., Variance Risk Premiums, Review of Financial Studies, 2009](https://doi.org/10.1093/rfs/hhn038) Paper GTerms ## 6 terms from this module. PremiumThe price of an option. The buyer pays it and the seller receives it. Option sellerThe side that receives the premium and takes on the obligation if the option finishes in the money. Also called the writer. SPAN marginA portfolio model the clearing corporation uses to set initial margin from an estimate of a one day loss. Exposure marginAn extra margin on short positions, called extreme loss margin by NSE Clearing, set as a share of contract value. [Win rate](/learn/glossary#win-rate)The share of trades that make money. It says nothing about how large the wins and losses are. [Expectancy](/learn/glossary#expectancy-per-position)The average result per trade: win rate times average win, less loss rate times average loss. [All 230 terms in the glossary](/learn/glossary) [Question people askOption buying or option selling: which is better?A short answer with a dated chart](/learn/questions/option-buying-vs-selling)[Question people askHow much capital do I need to trade or sell options?A short answer with a dated chart](/learn/questions/capital-needed-for-options)[Related module12.5 Margins without jargon: SPAN, exposure, expiry day margin and upfront premium8 min, Beginner](/learn/path-12/module-12-5-fo-margins-explained)[Related module12.6 The real cost of a trade: STT, exchange fees, SEBI fee, GST and stamp duty7 min, Beginner](/learn/path-12/module-12-6-cost-of-an-fo-trade)[Pillar guideDerivatives and Quant115 modules across paths 12 to 19](/learn/derivatives) Education only, not investment advice, a research report or a recommendation to buy, sell or hold any security. RupeeCase (QC Alpha Technologies Pvt Ltd) is not registered with SEBI as an investment adviser or research analyst. Contracts and prices shown are for illustration only, come from NSE end of day files at least 30 days old, and are not recommendatory. Derivatives trading carries a high risk of loss.