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Option selling · intradayIntradayNIFTYmedium complexity

Wait-and-trade straddle

A twist on the morning short straddle. Instead of selling both ATM legs at 09:20, the strategy notes their prices then and sells each leg separately only once it has dropped 10% from that reference, as confirmation that decay is working. Each sold leg has its own 25% stop, and everything still open is closed at 15:15.
Notes the NIFTY ATM call and put prices at 09:20 and sells each leg separately only after it has fallen 10%, with a 25% stop on each sold leg.
Market viewNeutral / range-bound
TradesNIFTY weekly ATM options, up to 2 legs sold
RiskOpen-ended (loss not capped by the structure)
CapitalFull option-selling margin
SuitsIntermediate
Trades a month35.5
Typical hold2.4 hours
Profitable months4 of 12
Longest losing run13 trades
Made money inTrend days that close near the high or lowMarkets above their 20-day average
Lost money inChoppy wide-range days that close mid-rangeQuiet sessions under 0.75% range
Default settings
Symbol
Reference time
Direction
Wt value
Wt unit
Leg SL %
Max reentries
Last entry
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 Intraday · 1 Oct 25 → 30 Sep 26
Enters
Each leg separately, once it trades 10% below its 09:20 price, before 14:30
Legs
SELL CE · 09:20 ATM (about 0.5 delta), fixed for the day · Nearest weekly · 1 lotSELL PE · 09:20 ATM (about 0.5 delta), fixed for the day · Nearest weekly · 1 lot
Exits
stop Each leg: premium 25% above its own entry pricetime Everything still open at 15:15
Re-entry
None by default (optional up to 3 per leg, using the new ATM option as the reference)
Reference
at REFERENCE_TIME take the ATM strike of the nearest weekly expiry and note its call's and put's prices. The strike is fixed for the day.
Entry
each leg on its own - sell the call (put) at the first tick, before LAST_ENTRY, where it trades WT_VALUE below its reference (DIRECTION "down": decay confirmed) or above it (DIRECTION "up": sell the spike). WT_UNIT "pct" = % of the reference, "points" = option points. LOTS each.
Stop
each leg at LEG_SL_PCT % above ITS OWN entry price (filled at the level).
Re-entry
(MAX_REENTRIES > 0) after a leg's stop, the new ATM option of that type at the stop becomes the fresh reference and is sold when the same wait-and-trade condition is met again, before LAST_ENTRY.
Exit
whatever is open at EXIT_TIME.
2

Results

PRE-BUILT · DEFAULTS
NIFTY · 2025-10-01 → 2026-09-30 · 426 trades · before costs
Net P&L+₹6,562
Win rate38%
Max drawdown−₹43,268
Avg per trade+₹15
Profit factor1.02
Worst trade−₹4,655
3

Where it made and lost money

Unlike the textbook view of a straddle, this one earned on trend days in this test: ₹1,08,260 over 112 trades with a 47% win rate. On a one-way day, only the leg on the far side of the move falls 10% and gets sold, and it keeps decaying to the close, while the other leg never triggers. Choppy wide-range days lost ₹60,298 over 121 trades with a 28% win rate, because the leg sold after a 10% fall is pushed back up by the reversal into its 25% stop. Quiet sessions lost ₹36,755 over 189 trades, as small swings were still enough to stop legs.

Kind of session on the entry day
Quiet session (range under 0.75%)−₹36,755189 trades40% won
Trend day (closed near the high or low)+₹1,08,260112 trades47% won
Choppy day (wide range, closed mid-range)−₹60,298121 trades28% won
Trend going in
Uptrend (NIFTY above its 20-day average)+₹36,581206 trades42% won
Downtrend (NIFTY below its 20-day average)−₹25,375216 trades36% won
How the entry day opened
Gap up of 0.4% or more+₹9,36563 trades44% won
Flat open−₹23,216291 trades37% won
Gap down of 0.4% or more+₹25,05868 trades40% won
India VIX the evening before
VIX below 11.5 (calm)+₹16,276116 trades40% won
VIX 11.5-14.5 (normal)−₹11,061190 trades38% won
VIX above 14.5 (nervous)+₹5,991116 trades38% won
Day of the week
Monday−₹6,78690 trades37% won
Tuesday+₹16,01989 trades26% won
Wednesday+₹9,15980 trades52% won
Thursday−₹9,82979 trades38% won
Friday+₹8,45582 trades43% won
Expiry day (NIFTY weekly)
Expiry day+₹15,61497 trades27% won
Other days−₹4,408325 trades42% won
Session direction on the entry day
NIFTY closed above its open+₹3,038208 trades41% won
NIFTY closed below its open+₹8,168214 trades36% won
The same trades, split by the market conditions around each entry, before costs.
4

About this strategy

  1. At 09:20, find the ATM strike of the nearest NIFTY weekly expiry and note the call and put prices; the strike is fixed for the day.
  2. Watch each leg separately: sell the call once it trades 10% below its 09:20 price, and the put once it does the same.
  3. A leg that never falls 10% before 14:30 is not traded, so some days hold only one leg or none.
  4. Each sold leg has a stop 25% above its own entry price.
  5. Re-entries after a stop are off by default; if enabled, the new ATM option becomes the fresh reference.
  6. Close any open leg at 15:15.

Why traders use it

Selling both legs at a fixed time can mean selling into a morning that is about to move hard. Waiting for each option to lose 10% first is a simple momentum check: the leg is already decaying, and the market is moving away from that side's strike. Traders like it because it filters out some of the days when one leg would have been stopped soon after a fixed-time entry, without needing indicators.

Works best whenIn this test, trend days that closed near their high or low: only the leg on the far side of the move fell 10% and was sold, then decayed through the day while the other leg was never triggered.
Struggles whenChoppy days that swing widely and close mid-range, when the leg sold after a 10% fall is pushed back up into its stop, and quiet sessions, where small swings still stop legs for a loss.

The year in plain words

With default settings on NIFTY from 1 Oct 2025 to 30 Sep 2026, the rules sold 426 individual legs and only 38% were profitable, making a slim ₹6,562 before costs (profit factor 1.02). Stops closed 251 legs and 175 ran to 15:15. The year depended on October, which made ₹38,774; most other months lost money, and the before-costs drawdown reached ₹43,268. Once ₹20 per order and bid-ask slippage were charged, the result became a ₹32,710 loss. Waiting for decay did not create a lasting edge in this period.

What the settings do

Reference timeWhen the ATM strike and reference prices are taken. Later references skip more of the opening volatility.DirectionDown sells a leg after it has fallen by the set amount, confirming decay. Up sells a leg after it spikes, selling into the move.Wt valueThe size of the move from the reference that triggers a sale. Larger values trade fewer legs, later in the day.Wt unitWhether the trigger is a percent of the reference price or a fixed number of option points.Leg SL %The rise above each leg's own entry price that stops it out. Tighter stops trigger more often on noise.Max reentriesHow many times a stopped leg may be sold again, using the new ATM option as a fresh reference.Last entryNo leg is sold after this time.Exit timeWhen all open legs are bought back.

Risks

  • Selling a leg after it has fallen means selling at a lower price; any reversal reaches the stop quickly.
  • With only one leg filled on some days, the position becomes a naked directional option.
  • The before-costs edge was very thin, so trading costs decided the outcome.
  • Short options need margin, and gap or spike moves can fill stops beyond 25%.

Who it suits

Intraday option sellers who want a rule that waits for confirmation instead of entering at a fixed clock time, and can automate leg-by-leg orders. The default lost money after costs, so it suits those willing to test variations.

5

Questions traders ask

What is a wait and trade straddle?

It is a straddle where each leg is sold only after its price moves a set amount from a reference time, rather than at the reference time itself. Here each ATM option is sold once it has fallen 10% from its 09:20 price.

Is the wait and trade straddle profitable on NIFTY?

In this backtest from 1 Oct 2025 to 30 Sep 2026 it made ₹6,562 before costs but lost ₹32,710 after ₹20 per order and bid-ask slippage, with statutory charges extra. October alone made more than the full-year total. Past results do not guarantee future ones.

How is it different from the 9:20 straddle?

The 9:20 straddle sells both legs at 09:20 regardless of what follows. The wait-and-trade version sells each leg only when that option has already lost 10%, so the entries come at different times and some legs are never sold.

Should the trigger be down or up?

Down waits for the premium to fall, treating it as confirmation. Up sells after a spike, betting the premium will come back down. The setting lets you compare both on the same data.

6

Before you rely on it

ADAPTED FOR TODAY'S NSE RULESNIFTY nearest weekly (Tuesday); sized in lots. Exits well before the 15:40 close.
WATCH OUT"Down 10%" sells after the cheaper move has happened; on trend days the stopped leg's re-entry sells into the same trend.
WHERE THE RULES WERE UNCLEAR · OUR CHOICES- The sources describe wait-and-trade with BUY examples ("up 10%"); for a seller the direction is a choice. Default "down" (sell only once the premium confirms decay); "up" (sell into a spike, the 20% variant) is the other. - A leg that never meets its condition by LAST_ENTRY is not traded that day, so some days hold one leg. - Each leg and each re-entry is its own trade, as in the library's 28, so the log shows every stop. - How it differs from 01 (both legs sold at a fixed time): the entry waits for each leg's own move. Triggers are found on each option's own tick series (bt.history) and filled at that tick's LTP.
Also known asW&T straddlemomentum entry straddlesimple momentum straddle920 W&T
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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