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Option selling · positionalPositionalNIFTYhigh complexity

IV-regime structure selector

Many option traders choose a structure based on how expensive volatility is. This strategy automates that choice for NIFTY monthly options. About 45 days before each monthly expiry it ranks India VIX against the past year: low rank buys a double calendar, a middling rank sells an iron condor, and a high rank sells a short strangle. Every trade is managed on a fixed profit target and stop and closed 21 days before expiry.
Each month picks a NIFTY option structure from India VIX rank: a double calendar when volatility is cheap, an iron condor when middling, a short strangle when rich.
Market viewNeutral / range-bound
TradesNIFTY monthly options, 2 to 4 legs
RiskOpen-ended (loss not capped by the structure)
CapitalFull option-selling margin
SuitsAdvanced
Trades a month1
Typical hold14 days
Profitable months6 of 12
Longest losing run2 trades
Made money inNIFTY staying within 1% while held (6 trades)India VIX above 14.5 at entry (3 trades)
Lost money inNIFTY falling over 1% while held (3 trades)
Default settings
Symbol
Low th
High th
Entry time
Entry DTE
Min entry DTE
Cal delta
Short delta
Wing delta
Target credit %
Stop credit x
Target debit %
Stop debit %
Exit DTE
Exit time
Lots
Backtest this strategy →Change any setting, pick your own period and run it in the Quantsapp web app. Backtesting is part of the Max plan. Pro+ members can use it now as a free trial.
1

How it trades

What it trades
Universe
NIFTY Positional · 1 Oct 25 → 30 Sep 26
Enters
09:30 when the front monthly is 45 to 28 days away; structure by VIX rank
Legs
SELL CE · 0.25 delta (calendar) or 0.16 delta (condor/strangle) · Front monthly · 1 lotSELL PE · 0.25 delta (calendar) or 0.16 delta (condor/strangle) · Front monthly · 1 lotBUY CE · Calendar: same as sold call; condor: 0.05 delta · Next monthly (calendar) or front · 1 lotBUY PE · Calendar: same as sold put; condor: 0.05 delta · Next monthly (calendar) or front · 1 lot
Exits
target Credit trades 50% of credit; calendar 25% of debitstop Credit trades loss of 2x credit; calendar loss of 50% of debitexpiry 15:15, 21 calendar days before the front expiry
Re-entry
Once per monthly cycle
Regime
IV rank = where yesterday's India VIX close sits among the previous VIX_LOOKBACK closes (0-100). rank < LOW_TH -> "low", LOW_TH .. HIGH_TH -> "medium", >= HIGH_TH -> "high".
Entry
when flat, at ENTRY_TIME on the first session whose front monthly expiry is at most ENTRY_DTE calendar days away (the cycle start), LOTS per leg: low -> double calendar: sell the front-month call and put nearest CAL_DELTA delta, buy the NEXT monthly call and put at the same strikes (a debit); medium -> iron condor: sell the SHORT_DELTA call and put, buy the WING_DELTA call and put (credit); high -> short strangle: sell the SHORT_DELTA call and put (credit). One position per front expiry.
Target
credit trades - P&L reaches TARGET_CREDIT_PCT % of the credit; the calendar - TARGET_DEBIT_PCT % of the debit.
Stop
credit trades - loss reaches STOP_CREDIT_X x the credit; the calendar - STOP_DEBIT_PCT % of the debit.
Exit
whatever is open EXIT_DTE calendar days before the front expiry, at EXIT_TIME.
2

Results

PRE-BUILT · DEFAULTS
NIFTY · 2025-10-01 → 2026-09-30 · 12 trades · before costs
Net P&L+₹26,639
Win rate75%
Max drawdown−₹24,131
Avg per trade+₹2,220
Profit factor1.89
Worst trade−₹17,917
3

Where it made and lost money

Twelve trades are too few to judge any condition firmly, but the pattern is the familiar one for premium structures. The six trades where NIFTY stayed within 1% while held all won, making ₹37,182, and two held through a rise of more than 1% made ₹13,078. The three held through a fall of more than 1% all lost, together ₹29,988, as put-side shorts were pushed into their stops. Entries with India VIX above 14.5 made ₹29,819 over 3 trades, all winners, while the 4 entries in the normal band lost ₹5,676. Figures are before costs.

India VIX the evening before
VIX below 11.5 (calm)−₹3,8714 trades50% won
VIX 11.5-14.5 (normal)−₹5,6764 trades75% won
VIX above 14.5 (nervous)+₹29,8193 trades100% won
Kind of session on the entry day
Quiet session (range under 0.75%)+₹2,3433 trades67% won
Trend day (closed near the high or low)−₹5,6764 trades75% won
Choppy day (wide range, closed mid-range)+₹23,6054 trades75% won
Market while the trade was held
NIFTY rose over 1% while held+₹13,0782 trades100% won
NIFTY within ±1% while held+₹37,1826 trades100% won
NIFTY fell over 1% while held−₹29,9883 trades0% won
How the entry day opened
Flat open+₹15,0407 trades71% won
Gap down of 0.4% or more+₹5,2324 trades75% won
Session direction on the entry day
NIFTY closed above its open+₹31,3466 trades83% won
NIFTY closed below its open−₹11,0745 trades60% won
Trend going in
Uptrend (NIFTY above its 20-day average)+₹3,6037 trades71% won
Downtrend (NIFTY below its 20-day average)+₹16,6694 trades75% won
Expiry day (NIFTY weekly)
Expiry day+₹14,1242 trades100% won
Other days+₹6,1489 trades67% won
Day of the week
Monday+₹34,5959 trades78% won
Tuesday+₹3,5941 trades100% won
Friday−₹17,9171 trades0% won
The same trades, split by the market conditions around each entry, before costs.
4

About this strategy

  1. When the front monthly NIFTY expiry is 45 to 28 calendar days away, at 09:30, rank yesterday's India VIX close against the previous 252 closes.
  2. Rank below 30: sell the front-month call and put near 0.25 delta and buy the next-month call and put at the same strikes (a double calendar, paid as a debit).
  3. Rank from 30 to 60: sell 0.16-delta call and put and buy 0.05-delta wings (an iron condor, for a credit).
  4. Rank 60 or above: sell the 0.16-delta call and put with no wings (a short strangle).
  5. Credit trades: take profit at 50% of the credit, stop at a loss of twice the credit. Calendars: take profit at 25% of the debit, stop at a 50% loss.
  6. Close anything still open 21 calendar days before the front expiry, at 15:15. One trade per monthly cycle.

Why traders use it

The idea is to buy volatility when it is cheap and sell it when it is rich, rather than running the same trade in every environment. Calendars benefit if volatility rises from a low level, condors collect a capped premium in average conditions, and strangles collect the fattest premiums when fear is high. The 45-day entry and 21-day exit follow a popular monthly cycle that captures steady decay while avoiding the sharpest gamma moves near expiry.

Works best whenNIFTY stays within about 1% of the entry level through the holding period, so whichever structure was chosen collects its decay and reaches its target. In this test the three entries made with India VIX above 14.5 all won.
Struggles whenNIFTY falls by more than 1% during the hold, testing the put side of a condor or strangle, or volatility moves against the calendar. In this test all three trades held through such a fall lost.

The year in plain words

With default settings on NIFTY from 1 Oct 2025 to 30 Sep 2026, the strategy made 12 trades over nine active months and won 9, earning ₹26,639 before costs, a profit factor of 1.89. Six credit trades and two calendars hit their targets, but the three losers averaged ₹9,996, about one and a half times the average win of ₹6,292; March alone lost ₹17,917. April's ₹21,466 was the best month. After ₹20 per order and slippage the result was ₹28,020, slightly higher, because costed fills shifted one calendar's exit: it reached its target three days later for a larger gain. The maximum drawdown was ₹24,131.

What the settings do

Low thThe VIX rank below which the double calendar is used. Raising it makes calendars more common.High thThe VIX rank at or above which the short strangle is used. Lowering it means more naked short trades.Entry timeThe time of day the position is opened at the start of each cycle.Entry DTEThe cycle starts once the front monthly expiry is this many calendar days away or fewer.Min entry DTEIf fewer days than this remain, the strategy waits for the next cycle instead of entering late.Cal deltaThe delta of the strikes used for the double calendar. Higher deltas sit closer to the money.Short deltaThe delta of the sold options in the condor and strangle. Higher deltas collect more but are tested more often.Wing deltaThe delta of the condor's protective wings. Lower deltas are cheaper but leave a wider loss zone.Target credit %The share of the credit taken as profit on condors and strangles.Stop credit xThe loss, in multiples of the credit, that closes a condor or strangle.Target debit %The profit, as a share of the debit paid, that closes a calendar.Stop debit %The loss, as a share of the debit paid, that closes a calendar.Exit DTEHow many calendar days before the front expiry any open position is closed.Exit timeThe time of that final exit.

Risks

  • The short strangle has no wings, so a large move in a high-volatility regime can lose more than twice the credit before the stop fills.
  • Calendars lose if implied volatility keeps falling, even if NIFTY stays near the strikes.
  • Average losses were about one and a half times the average win, so a few stops can erase many targets.
  • Monthly multi-leg trades carry wide bid-ask spreads, and paying them moves where targets and stops trigger, so results after costs can differ trade by trade.

Who it suits

Experienced option traders who understand volatility regimes and the Greeks, have margin for a naked short strangle, and are comfortable with one multi-week trade per month.

5

Questions traders ask

Which option strategy should I use when IV is high or low?

A common rule of thumb is to buy volatility (for example calendars) when it is cheap and sell it (condors or strangles) when it is rich. This strategy automates that mapping using India VIX rank. Whether it adds value depends on the period; it is not a rule that always works.

Is the IV regime strategy selector profitable?

In this backtest from 1 Oct 2025 to 30 Sep 2026 on NIFTY it made ₹26,639 before costs and ₹28,020 after ₹20 per order and bid-ask slippage (statutory charges not included), over 12 trades. The after-costs figure is higher only because one calendar exited later on costed prices. Twelve trades is a small sample, and past results do not guarantee future ones.

What is IV rank?

IV rank shows where today's volatility sits within its range over a past window, from 0 (lowest) to 100 (highest). Here it is the share of the past 252 India VIX closes that were below yesterday's close.

Why exit at 21 days to expiry?

Most of a monthly option's steady decay has been collected by then, while the largest swings in gamma risk come in the final weeks. Closing at 21 days keeps the trade in the calmer part of the cycle.

6

Before you rely on it

ADAPTED FOR TODAY'S NSE RULESNIFTY monthly expiries from the expiry list (last Tuesday); the calendar's next-month legs are the following monthly. Sized in lots. The calendar margin benefit lapses only on expiry day, long after the 21-DTE exit.
WATCH OUTRegime thresholds on VIX rank are arbitrary; the short strangle in the "high" regime has open-ended risk exactly when volatility is already high. The calendar is long vega: a further IV drop hurts.
WHERE THE RULES WERE UNCLEAR · OUR CHOICESThe source states only the mapping (low IV -> calendars/diagonals, medium -> condors, high -> strangles) and "manage at 21 DTE or 50 % of credit". Every number is the spec's proposal: IV rank = 1-year India VIX rank (the VIX history is long, so the rank works from day one), thresholds 30 / 60, 25-delta calendar strikes, 16-delta shorts, 5-delta wings, 25 % of debit target / 50 % of debit stop. "Stop at 2x credit" is read as a LOSS of two credits (STOP_CREDIT_X = 2); set 1 for the other common reading (the short premium doubles). LOCAL DATA: only the nearest two weekly chains are stored locally, so no 45-DTE monthly entry can happen on this PC; the code paths were smoke-tested on weekly expiries with short DTEs in a scratch copy. The server has the monthlies.
Also known asIV rank structure choice
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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