On Wednesday 10 Jun 2026 a Nifty strangle on the 30 Jun expiry, a sold 22,950 put and a sold 23,550 call, collected Rs 389.60 a unit, which is Rs 25,324 a lot. Add a bought put and a bought call 200 points further out and the credit falls to Rs 118.70. The wings took 70% of the premium. That ratio is the whole argument about hedging a selling book: the protection is paid for out of the income it protects.

3By the end you can

  1. Price a set of wing distances and read the credit left against the maximum loss.
  2. Compare the gamma, vega and theta of a strangle with and without wings, per lot.
  3. Name the SEBI margin rules of 1 Oct 2024 that change a selling book's margin.
The RupeeCase terminal on sample data: Portfolio value: what does "Same money in NIFTY 50" mean?
Watch in the terminal: what does "Same money in NIFTY 50" mean? A short tutorial on sample data.

The idea, plainly

A sold strangle keeps its premium while the index stays between two breakevens (module I18). The risks all arrive together when it does not. I count four.

  • Gap. The loss grows with the move, and an index that opens far from the last close skips the prices where an exit could be placed. Short gamma means the loss accelerates (module I09).
  • Volatility. A seller is short vega. Implied volatility can jump before the index does, and the position loses on paper first (module I10).
  • Margin. The exchange asks for margin on the worst loss it can see. A loss on the position and a rise in the requirement arrive together, which is when a forced exit is most expensive.
  • Exit. A far strike may be thin, and the settlement price in a file is not a price anyone offered.

Five tools, and what each one fixes

ToolFixesLeaves
Bought wingsCaps the loss, cuts gamma, vega and marginCosts premium; a thin strike
A futureDelta onlyGamma and vega stay
A longer expiry optionPart of the vegaNo margin offset for the expiring leg on its last day
Smaller sizeEvery risk, in proportionThe shape of the payoff
Not selling into an eventThe event gapEvery other risk

Only wings change the shape of the payoff and put a floor under the loss. That is why they get the rest of this module.

The term this section turns on: Wing

The term this section turns on: WingThe term this section turns on: Wing. Wing: A bought option placed further out of the money than a sold option on the same side. It caps the loss on that side, lowers gamma, vega and margin, and costs premium.WingA bought option placed further out of themoney than a sold option on the same side. Itcaps the loss on that side, lowers gamma,...
From the module glossary; every term is in the Learn glossary too. Source: Module 17.21, Hedging an option selling book: wings, vega, gaps and margin stress.
The maths: what a wing buys

A sold put at K1 with a bought put at K1 less w, and the same on the call side, has a worst case at either end. Per unit:

Max loss = w minus credit

where credit is the premium taken in on the strangle less the premium paid for the wings. The breakevens move in, to each sold strike less or plus the credit that is left. The trade off is clean. A wider wing leaves more credit, so the breakevens are further apart, and the maximum loss is a larger number. A wing at the sold strike itself has zero width, a loss of nothing, and a credit of nothing.

What the wings cost

The table prices the same strangle with wings at four distances beyond the sold strikes on 10 Jun 2026. Credit is the credit kept, in rupees a unit. Given up is the share of the strangle premium the wings cost. Max loss is in rupees for one lot of 65 units, at expiry, before costs.

WingsCreditGiven upMax loss
200 points118.7070%5,284
400 points205.8547%12,620
600 points266.2032%21,697
800 points307.4521%32,016

The wings put a floor under the loss, and the credit left is the price

Profit and loss of one lot of a Nifty iron condor, a sold 22,950 put and 23,550 call with bought wings 200 points out, at expiry and with 10 days left: a capped gain between the sold strikes and a loss that stops at each wingPayoff of the position at expiry and before expiry. Breakevens at 22,831 and 23,669. Maximum profit in the range ₹7,716, maximum loss ₹5,285. Spot 23,215.Profit or loss, ₹ for the whole positionAt expiry10 days to expiry−₹5,000−₹2,500₹0₹2,500₹5,000₹7,50022,00023,00024,000Nifty at expirySpot 23,215BE 22,831BE 23,669Max profit ₹7,716Max loss ₹5,285
One lot of the condor on the 10 Jun 2026 chain of the 30 Jun expiry. The breakevens are 22,560.40 and 23,939.60 for the bare strangle and sit closer in once the wings are paid for. The curve for 10 days left still carries time value. Source: NSE end of day data, computed by RupeeCase. As of 10 Jun 2026.
Read one more paragraph, 70 words

Close wings leave a small credit and a small worst case. Far wings leave most of the credit and a worst case several times larger. There is no wing that keeps the income and removes the risk. Each row is a different position, and the reader picks a risk by picking a row, which is a decision this page does not make. Without wings the worst case has no ceiling.

Worked example: the same strangle with and without wings

Per lot, on the 10 Jun 2026 chain of the 30 Jun expiry, 20 days left, future 23,240.10. The first column is the bare strangle. The second adds wings 200 points out. Gamma is units of delta a point, vega is rupees for each volatility point, theta is rupees a day.

Per lotStrangleWith wings
Gamma−0.060−0.007
Vega−2,627−295
Theta975100

The bare strangle loses most at the edges, and a rise in volatility deepens every loss

Change in the value of one lot of a sold Nifty strangle after five days, for index moves of minus 4 to plus 4 percent and implied volatility rises of 0, 3 and 6 points: small gains in the middle and large losses at the edges that deepen with higher volatility
Index moveAfter five days, Rs a lot
IV sameIV +3IV +6
−4%−21,163−24,585−28,710
−2%−2,024−7,677−13,711
0%+5,166−1,612−8,541
+2%−1,760−7,725−14,030
+4%−20,559−24,439−29,031

Green is profit and red is loss; deeper colour means a larger amount. The outlined cell is the starting point.

The sold 22,950 put and 23,550 call repriced with Black 76 five days after 10 Jun 2026. Index moves are shares of the future. Columns add to every leg's implied volatility. The first column is the strangle with volatility unchanged. Source: NSE end of day data, computed by RupeeCase. As of 10 Jun 2026.
The RupeeCase terminal on sample data: Compare with: what do index, fund and strategy lines show?
Watch in the terminal: what do index, fund and strategy lines show? A short tutorial on sample data.

With wings every cell is small: the loss stops, and so does most of the gain

Change in the value of one lot of a Nifty iron condor after five days, for index moves of minus 4 to plus 4 percent and implied volatility rises of 0, 3 and 6 points: small numbers everywhere, with the loss capped by the wings
Index moveAfter five days, Rs a lot
IV sameIV +3IV +6
−4%−2,331−2,169−2,174
−2%−198−703−1,149
0%+605−233−858
+2%−637−1,057−1,430
+4%−2,750−2,563−2,526

Green is profit and red is loss; deeper colour means a larger amount. The outlined cell is the starting point.

The same strangle with bought wings 200 points out, repriced five days after 10 Jun 2026 on the same shocks. Read it against the grid above: the corners that were large losses are now a few thousand rupees. Source: NSE end of day data, computed by RupeeCase. As of 10 Jun 2026.
Read one more paragraph, 77 words

The wings cut gamma by 88%, vega by 89% and theta by 90%. The theta is the income. The gamma and vega are the risk. The wings remove nearly all of both, so the seller is left with a small premium against a small risk, a different trade and not a safer version of the same one. The grids show it in rupees, after five days, for index moves and a rise in implied volatility.

A calm day against a stress day

The cost of a wing is not constant. On 7 Apr 2025, a stress session with India VIX at 22.79, the same width of strangle on the 24 Apr 2025 expiry, 17 days out, took in Rs 671.00 a unit and the wings 200 points out took 81% of it, leaving Rs 127.30. On 10 Jun 2026, with India VIX at 15.63, the wings took 70%. In a stress session the premium is rich and the wings are richer. Protection is dearest when it is most wanted, so a seller who decides after the spike has already paid for the spike.

The RupeeCase terminal on sample data: Broker session expired: why sign in again every day?
Watch in the terminal: why sign in again every day? A short tutorial on sample data.

Event gaps

Some gaps are scheduled. The Union Budget of 2026 was presented on Sunday 1 Feb, and NSE held a special session. Nifty closed at 24,825.45 against 25,320.65 on Friday 30 Jan, a move of −1.96%, and India VIX went from 13.63 to 15.10. A seller short into that session met a fall in the index and a rise in implied volatility together, on a day outside the usual week. A fast move inside a session can run past the price of a stop order, and a move between sessions skips it for certain. The honest hedge for a known event is one placed before it, which is a wing or a smaller size, and the price of that wing is usually higher the closer the event comes (module I16).

Gaps and the success rate

A strangle that wins most weeks is a statement about frequency and not about size. The model below repeats one sale of the 23,550 call a hundred times, one round a week in the chart's words, each at a fair price: the index at expiry follows a lognormal curve around the forward at the option's own implied volatility. The call wins 74 of the hundred weeks. The losses in the other 26 weeks erase the gains, and the net over the hundred weeks is −Rs 3,402 before costs. The few weeks that lose more than ten times the premium are about 3% of all the losses. A strangle is one such call and one such put, so the shape carries over.

Model, not market data

A high win rate and a zero net: most weeks win, and the rest take it back

Model, not market data. Result of selling the Nifty 23,550 call for 100 weeks in a model that prices it fairly: most weeks win, the losses in the other weeks match the gains, and the net is near zeroProfit: 74 weeks in 100 8,47,396; Loss, all 26 weeks in 100 −8,50,798; of which up to 3x premium −2,72,466; of which 3 to 10x premium −5,48,628; of which over 10x premium −29,703.Per 100 weeks, one lot, before costs; L is lakhProfit: 74 weeksin 100+8.47LLoss, all 26weeks in 100−8.51Lof which up to 3xpremium−2.72Lof which 3 to 10xpremium−5.49Lof which over 10xpremium−0.30L
Model, with the inputs listed. One lot sold at the settlement price of Rs 186.65 a unit, the premium of Rs 12,132 a lot. The first two bars are the gains and the losses of 100 weeks; the next three split the losses by size. Inputs: one lot of 65 units of the Nifty 23,550 call sold at its settlement premium of Rs 186.65 a unit on 10 Jun 2026, expiry 30 Jun 2026; the forward 23,240.10 and the option's own implied volatility 14.58% over 20 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.

Sizing the wing by the rupee loss

The table is easiest to read from the right. Take the maximum loss in rupees a lot, set it against the capital meant to carry the position, and ask how many such losses the account can take (module F29 runs the risk of ruin arithmetic). The credit comes second. A trader who picks the wing by the premium it leaves picks the largest risk the table offers. This is a way to read the table, not a recommendation of a row.

A vega hedge that is not a wing

A bought option in a later expiry also offsets some vega, and it costs less than a close wing because it is a calendar and not a spread of strikes (module I22). Two cautions. Vega does not add across expiries as if they were one number: near expiry volatility moves more than far expiry volatility, so the hedge is partial. And on the last day of the near contract the margin benefit of the pair is gone, as the rules below say.

Margin stress, in three SEBI rules

NSE Clearing sets margin as SPAN plus exposure margin. SPAN is a fixed grid of index and volatility shocks, like the grids above, and the margin follows the worst loss across it (the clearing page is in the sources). A wing caps the worst cell, which is why it lowers the margin. Three rules from the SEBI circular of 1 Oct 2024 matter to a selling book:

  • From 1 Feb 2025, option premium that is payable is collected upfront. The wings are bought, so they are paid for before the position is open.
  • From 1 Feb 2025, a calendar spread gets no margin benefit on the expiry day for the contract expiring that day, and the expiring and non expiring legs are margined separately. A far month hedge does not offset an expiring short on its last day.
  • From 20 Nov 2024, a sold index option that expires that day carries an extra 2% of extreme loss margin.

Two terms to hold on to from 17.21

Two terms to hold on to from 17.21Two terms to hold on to from 17.21. Maximum loss: For a sold strangle with wings, the distance between the sold and bought strikes less the credit kept, per unit, at expiry and before costs. SPAN: The margin method of NSE Clearing: a fixed grid of index and volatility shocks, with the margin set from the worst loss across it, plus exposure margin and extreme loss margin.Maximum lossFor a sold strangle with wings, the distancebetween the sold and bought strikes less thecredit kept, per unit, at expiry and...SPANThe margin method of NSE Clearing: a fixedgrid of index and volatility shocks, with themargin set from the worst loss across it,...
From the module glossary. Source: Module 17.21, Hedging an option selling book: wings, vega, gaps and margin stress.
Read one more paragraph, 45 words

So a far month hedge that helps the margin during the week may not help on the last day. The broker screen shows the margin for a position before an order is placed, and it is the figure to read, not any rule of thumb.

The exit is thin

The file settles every strike, but a settlement price is not an offer. On 10 Jun 2026 the sold 22,950 put traded 972 contracts and the put wing 200 points further out traded 2,202. The sold 23,550 call traded 3,286 and its wing 2,877. Contracts, not units, are the count of volume. A position closed on a bad day meets the bid ask spread of strikes that may then have few bids (module I06). STT on selling the strangle at the settled prices is about Rs 38 a lot at 0.15% of premium; the bought wings pay none unless they are exercised.

The common mistake

The claim: The strangle wins most weeks, so the wings only cut my profit. The wings do cut the income, by 70% at the closest distance. They also turn a loss that has no ceiling into one of 5,284 a lot. The model above shows what a win rate hides: a call that wins 74 weeks in a hundred and nets −Rs 3,402. SEBI's Aug 2026 study found that 87.7% of individual F&O traders made a net loss in FY26, counted by trader and not by trade, so it does not rate any one structure. The short answers are on the success rate page and How to hedge an option selling position.

Key takeaways

  • Wings 200 points out gave up 70% of the strangle premium.
  • They cut gamma by 88% and vega by 89%, per lot.
  • Max loss is the wing width less the credit that is left.
  • Protection costs most on a stress day: 81% against 70%.
  • A high win rate can sit beside a zero net.
  • No calendar spread benefit on expiry day for the expiring leg.

Where this section sits in module 17.21

Where this section sits in module 17.21Where this section sits in module 17.21. 1. The idea, plainly 2. Worked example: the same strangle with and without wings 3. The common mistake 4. Key takeaways01The idea, plainly02Worked example: the same stranglewith and without wings03The common mistake04Key takeaways
Sections 1 to 4 of 4; the highlighted one is next. Source: Module 17.21, Hedging an option selling book: wings, vega, gaps and margin stress.

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