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Option selling · positionalPositionalNIFTYmedium complexity

Credit broken-wing butterfly

A broken-wing butterfly buys one call, sells two calls higher up and buys one more call further away, with a wider gap on the far side. Built slightly out of the money, it can be opened for a small net credit. This version does so on NIFTY weekly options two trading sessions before the Tuesday expiry, skipping event weeks and very low-volatility weeks, and holds to expiry day unless half the maximum loss is reached.
Two sessions before the NIFTY weekly expiry, opens a call butterfly with one narrow and one wide wing for a net credit, holding it to expiry day with a stop at half the maximum loss.
Market viewBearish
TradesNIFTY weekly calls, 1-2-1 broken-wing butterfly
RiskDefined (max loss known at entry)
CapitalHedged option-selling margin
SuitsAdvanced
Trades a month0.2
Typical hold5 days
Profitable months1 of 12
Longest losing run1 trades
Made money inToo few trades to judge (2 in the year)
Lost money inToo few trades to judge (2 in the year)
Default settings
Symbol
Side
Entry time
Entry DTE trading days
Narrow wing
Wide wing
Min credit
Max shift strikes
Min ATM IV
Stop % of max loss
Exit time
Event dates
Lots
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1

How it trades

What it trades
Universe
NIFTY Positional · 1 Oct 25 → 30 Sep 26
Enters
15:00, two trading sessions before the weekly expiry
Legs
BUY CE · ATM, shifted out until a credit (K) · Nearest weekly · 1 lotSELL CE · K + 200 · Nearest weekly · 2 lotsBUY CE · K + 500 · Nearest weekly · 1 lot
Exits
stop loss reaches 50% of the maximum lossexpiry 15:15 on expiry day
Re-entry
Next week's entry day
Entry
at ENTRY_TIME on the session that is ENTRY_DTE_TRADING_DAYS trading sessions before the nearest weekly expiry. Calls (SIDE "call"): buy 1 at the lower strike K, sell 2 at K + NARROW_WING, buy 1 at K + NARROW_WING + WIDE_WING; LOTS per unit. K starts at the ATM strike and moves one listed strike further out of the money until the three legs take in at least MIN_CREDIT points net (at most MAX_SHIFT_STRIKES moves); no credit, no trade. SIDE "put" is the mirror image below the money. Skipped when the ATM implied volatility is below MIN_ATM_IV % or the expiry week contains one of the EVENT_DATES (comma-separated ISO dates: Budget, RBI policy, Fed ...).
Stop
the position has lost STOP_PCT_OF_MAX_LOSS % of its maximum loss, where max loss = (WIDE_WING - NARROW_WING) x quantity - credit (the broken side).
Exit
EXIT_TIME on expiry day (squared off before settlement - no STT on ITM exercise). No target.
Re-entry
next week's entry day.
2

Results

PRE-BUILT · DEFAULTS
NIFTY · 2025-10-01 → 2026-09-30 · 2 trades · before costs
Net P&L−₹3,172
Win rate50%
Max drawdown−₹3,266
Avg per trade−₹1,586
Profit factor0.03
Worst trade−₹3,266
3

Where it made and lost money

Two trades cannot show where this structure earns, but they match how it is built. The one trade during which NIFTY rose more than 1% lost ₹3,266, as the rally pushed through the short body towards the wide wing and the stop at half the maximum loss was hit. The one trade during which NIFTY fell more than 1% made ₹94: all the calls lost value and the small entry credit was kept. That is the shape of a credit broken-wing call butterfly: little to gain on a fall, most to gain from a pin at the body, and the risk sits on a rally.

Market while the trade was held
NIFTY rose over 1% while held−₹3,2661 trades0% won
NIFTY fell over 1% while held+₹941 trades100% won
How the entry day opened
Gap up of 0.4% or more+₹941 trades100% won
Gap down of 0.4% or more−₹3,2661 trades0% won
Day of the week
Wednesday+₹941 trades100% won
Thursday−₹3,2661 trades0% won
The same trades, split by the market conditions around each entry, before costs.
4

About this strategy

  1. At 15:00, two trading sessions before the nearest NIFTY weekly expiry, check that the week holds none of the listed event dates and that ATM implied volatility is at least 9%.
  2. Start at the ATM strike K: buy one call at K, sell two calls 200 points higher and buy one call a further 300 points higher.
  3. If those legs do not bring in at least 0.5 points of net credit, shift the whole structure one strike further out of the money and try again, up to 12 times; with no credit, no trade.
  4. The maximum loss is the 100-point difference between the wings times the quantity, minus the credit; close the position if it loses half of that.
  5. Otherwise close everything at 15:15 on expiry day, before settlement. There is no profit target.

Why traders use it

Opened for a credit, the structure keeps its credit if NIFTY stays below the lower call or falls, and it makes its largest gain if NIFTY settles right at the short strike on expiry. The wider upper wing is what turns the cost into a credit, and it also defines the worst case, so risk is known in advance. Short-dated weekly options decay fastest in the last sessions, which is why the trade is placed so close to expiry.

Works best whenIn principle, weeks when NIFTY drifts up towards the sold strike and settles near it on expiry day, or falls and leaves the small credit intact; the two trades here are too few to confirm either case.
Struggles whenRallies that carry NIFTY through the short strike towards the wide wing before expiry, which is what caused the one loss in this test, and quiet low-IV weeks when no credit is available and no trade happens.

The year in plain words

With default settings on NIFTY from 1 Oct 2025 to 30 Sep 2026 the rules traded only twice: once in March 2026 for a ₹94 gain at expiry, and once in April for a ₹3,266 loss at the stop. The requirements for a net credit within 12 strikes, ATM IV of at least 9% and no event in the week left almost no qualifying weeks. The total was a ₹3,172 loss before costs. The after-costs run ended at a ₹3,116 loss, slightly smaller, because one fill at the real bid and ask was better than the stale last traded price used before costs. Two trades say nothing reliable about the method.

What the settings do

Side"call" builds the butterfly above the market, with its risk on a rally; "put" builds the mirror image below, with its risk on a fall.Entry timeThe time on the entry day when the butterfly is opened.Entry DTE trading daysHow many trading sessions before the weekly expiry the trade is placed. Earlier entries collect credit more easily but hold more risk for longer.Narrow wingPoints between the lower bought call and the two sold calls. A wider gap changes where the profit peak sits and how much credit is possible.Wide wingPoints between the sold calls and the far bought call. The bigger it is relative to the narrow wing, the easier a credit and the larger the maximum loss.Min creditThe net credit, in points, the structure must bring in. Raising it pushes the butterfly further out of the money or rules out more weeks.Max shift strikesHow many strikes the structure may move out of the money in search of a credit.Min ATM IVWeeks with ATM implied volatility below this percentage are skipped, as premiums are then too thin.Stop % of max lossThe share of the maximum loss at which the trade is closed early. Lower values exit sooner on a rally.Exit timeWhen the position is closed on expiry day.Event datesA list of dates, such as Budget day and RBI policy days, whose expiry weeks are skipped.

Risks

  • The risk is concentrated on a sharp rise through the wide wing, where the loss approaches the 100-point wing difference times the quantity.
  • Positions are held over several sessions, so overnight gaps can jump past the stop level.
  • The credit is small, so most of the profit depends on NIFTY finishing near the short strike, which rarely happens exactly.
  • The entry rules are strict enough that the strategy may sit idle for months.

Who it suits

Experienced option traders who understand butterfly payoffs, want a defined-risk short-dated structure with a mild bearish-to-neutral tilt, and are comfortable with very infrequent trades.

5

Questions traders ask

What is a broken-wing butterfly?

It is a butterfly whose two wings are unequal: buy one option, sell two at a middle strike, and buy one further away with a wider gap on one side. The uneven wings can turn the trade into a credit, so there is no loss on one side, while the wider wing sets the maximum loss on the other.

Is the credit broken-wing call butterfly profitable on NIFTY?

This backtest cannot say. From 1 Oct 2025 to 30 Sep 2026 it traded only twice, losing ₹3,172 before costs and ₹3,116 after ₹20 per order and bid-ask slippage. Two trades are far too few to judge, and past results do not guarantee future ones.

Why so few trades?

A trade needs all of these at once: the right number of sessions before expiry, no listed event that week, ATM implied volatility of at least 9%, and a net credit of at least 0.5 points within 12 strikes of the money. Two sessions before expiry, a credit is hard to find, so most weeks are skipped.

Why close before expiry settlement?

Squaring off at 15:15 on expiry day avoids in-the-money options being settled, which can attract STT on the settlement value and leave the exact payoff to the final price. Closing in the market keeps the outcome controlled.

6

Before you rely on it

ADAPTED FOR TODAY'S NSE RULESNIFTY weekly (Tuesday) found from the expiry list; two TRADING sessions before it (the source's "back half of the week"). Sized in lots.
WATCH OUTA credit BWB makes most of its money from a pin near the body on expiry day; between 2 sessions out and expiry the credit is small next to the wide-wing risk. Fills at LTP, no costs.
WHERE THE RULES WERE UNCLEAR · OUR CHOICESThe source's legs (long ATM, 200 / 300-point wings) almost never give a credit with two sessions left, and "net credit > 0" is a stated condition; so the butterfly is shifted out of the money, one strike at a time, until it is a credit. "Pre-set stop" and "skip when IV is very low" carry no numbers in the source: the spec's 50 % of max loss, and 9 % ATM IV are ours. Event dates are a user-maintained list (the SDK has no macro-event calendar); the default holds Budget 2026 and the RBI MPC decision days of FY26 and FY27 (the scheduled dates, as in strategy 144); add later years.
Also known asBWBskip-strike butterfly
Backtests run on historical NSE data with fills at the last traded price. "Before costs" excludes brokerage, taxes and slippage. Quantsapp is not recommending any strategy; it is just a backtesting utility. Past results are not a promise of future returns.

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