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Record

Choosing an expiry for a long put — same-day, next-day, one week, one month, priced out

Same strike, same view. Change only the expiry and you pay 74× more. The real cost turned out not to be theta.

Say you have decided the index is going lower, and you have decided to buy a put. Open the chain and the next question arrives immediately.

Which expiry?

Today? Tomorrow? Next week? Next month?

Early on I waved this question away. "Get the direction right and the rest sorts itself out." In fact this one choice changes what you pay by 74×.

Not from a model — from actual closing quotes on the chain.

I once bought two puts on the same morning, same direction, differing only in expiry. They finished at −17% and −100%, and that record is in buying a same-day expiry. This post takes the question that came out of it and extends it to one week and one month.

The conclusion first

Buying a longer expiry is fine in itself. What has to come with it is a planned risk amount and closing at that line.

Long expiries are not the problem. Long expiries without an exit plan are where the structure gets difficult. Here is why, in numbers.

Where the numbers come from

Real chain, not a model. SPXW puts at the close on 25 August 2026, underlying 7,677.28, four expiries pulled as they stood.

ExpiryDays leftType
2026-08-250same day
2026-08-261next day
2026-09-017about a week
2026-09-2531about a month

Everything is in index points, not currency. In points the structure is visible regardless of account size.

At-the-money puts

Strike 7,675 (the listed strike nearest spot at 7,677.28).

ExpiryCloseDeltaThetaIVTheta ÷ premiumBreakeven
Same day (0d)0.03−0.47———7,674.97
Next day13.70−0.467−7.209.48%52.5%7,661.30
One week (7d)45.24−0.472−3.1111.57%6.9%7,629.76
One month (31d)102.75−0.455−1.4813.00%1.4%7,572.25

Setting next-day at 1×: one week 3.30× · one month 7.50×

🚨 The 0.03 on the same-day row is the close. The same contract traded 10.00 at the open and 28.00 at the high that session, and finished at 0.03.

Delta is nearly the same across expiries

−0.467, −0.472, −0.455. At the money, delta is roughly the same across expiries.

So a one-point move in the index earns you about the same in all three, while the price you pay differs by up to 7.5×.

The shorter the expiry, the bigger the theta ratio

"Theta ÷ premium" is the share of the premium that decays in a day.

next day    52.5%   ← half in a day
one week     6.9%
one month    1.4%

Breakeven walks away from you

next day   7,661.30  (16.0 points below spot)
one week   7,629.76  (47.5 points)
one month  7,572.25  (105.0 points)  ← 105 points just to break even

On the one-month put, being right on direction still needs 105 points before it breaks even.

Intrinsic value and time value are covered in more depth in Strategic US Options Trading I: Foundations (Korean edition).

Out-of-the-money puts — where the gap widens

Strike 1% below spot (77 points down).

ExpiryCloseDeltaIV× vs next-dayBreakeven
Same day (0d)0.03−0.003——7,599.97
Next day1.05−0.05212.01%1×7,598.95
One week (7d)20.90−0.26112.37%19.9×7,579.10
One month (31d)78.00−0.36213.78%74.3×7,522.00

74×.

Same strike, same view. Move the expiry from one day to one month and you pay 74 times as much. Delta improves from −0.052 to −0.362 — seven times better — while the price is 74 times higher.

💡 Out-of-the-money options get expensive fast as you extend the expiry. At the money it is 7.5×; out of the money it is 74×. "Let me give it a little more room" costs far more than it sounds like it should.

And yet — longer expiries do win on theta

Something worth stating plainly. Longer is not uniformly worse.

If direction does not arrive and the index sits still, how much premium survives one day?

Expiryremaining after 1 day (ATM)(OTM −1%)
Next day0%0%
One week93.1%86.4%
One month98.6%98.0%

The one-month put still has 98% after a day. On theta alone, the longer expiry is better. That is true.

⚠️ Except theta understates the final day

Theta on the next-day at-the-money put was −7.20 — one day of decay is 7.20. But one day later is expiry. With the index unchanged, 7,677 > 7,675, so all 13.70 goes.

Not the 7.20 that theta quoted, but 13.70. Theta is a local slope; it cannot carry the last day.

The same-day row is the proof — that same at-the-money put printed 10.00 at the open, 28.00 at the high, and 0.03 at the close.

So why do I use the next-day contract?

The real cost of a long expiry is that you can defer

How the next-day contract is built

buy today → settled tomorrow → cannot be deferred
maximum loss = premium paid (and no more)

"Cannot be deferred." That is the whole thing. The next-day contract closes itself.

How the week and month contracts are built

buy today → still 6 / 30 days left → "maybe wait?"

And then the sentence arrives.

"Selling now locks the loss in... but there is time to expiry, so it could still turn."

I counted how that sentence has ended.

🚨 Same-day expiries are excluded — a 0DTE contract cannot be carried, so the comparison does not apply to it.

I split the 144 trades that had a day or more to run on one question: was it closed the same day?

tradestotal lossmean returnmedianwin rate
Closed same day1160.0% (none)+19.5%+11.5%65.5%
Carried over2850.0% (14)−41.9%−98.6%32.1%

Not one of the 116 same-day closes went to a total loss. Half of the 28 carried ones did. The vague version I used to write — "usually one of them goes to zero" — now has a number on it: one in two, on the carried side.

Splitting those 28 further

Outcomes inside "carried over" are not uniform. Three groups:

tradessharemean returnrange
A. Profit932.1%+76.3%+1.7% to +206.7%
B. Loss, partly recovered517.9%−92.0%−97.2% to −79.1%
C. Expired worthless1450.0%−100.0%—

Two things show up here.

1. When it works, it works big. Nine trades averaging +76.3%, topping out at +206.7%. That is what stays in memory. And it is why the next one gets sized larger.

2. But on the losing side, B and C are barely distinguishable. Even B — "partly recovered" — averages −92.0%, and its best case is −79.1%. All 19 that went against me lost 79% or more.

🔑 A carried position splits into "wins big" or "loses nearly everything." There is no middle. The three groups together come to an expected −41.9%.

⚠️ Do not read this as causation. Many of those 28 were already underwater, which is why they did not get closed. It may be "things were already worse, which is why it got carried" rather than the reverse. The sample is small at 28. Either way, the answer is the same — do not be standing there.

The structure shows why.

premium is expensive       →  the loss in absolute terms is large
loss is large              →  cutting feels more wasteful
cutting feels wasteful     →  "there is still time" defers it
deferring                  →  the time genuinely runs out
                           →  full premium

"Time remaining" becomes the justification for deferring, and the deferral consumes the time.

Theta does not show this cost. In practice it has been the largest one.

Expiry by expiry

Same day (0DTE)

ForAgainst
Closest breakevenSettled within hours
Overnight is structurally impossibleEven ATM went 10.00 open → 0.03 close
Out-of-the-money leaves essentially nothing at the close

When I use it: when conviction is very high, or when little time remains and it is very cheap.

Next day (1DTE) ← what I mostly use

ForAgainst
Delays the steep same-day decayStill 52.5%/day
Maximum loss capped at premium paidDirection has to arrive within the day
Settled tomorrow, so it cannot be deferredThe overnight temptation appears
Out-of-the-money is very cheap (1.05)And delta is correspondingly low (−0.052)

When I use it: when I expect 30 points or more within the day. The precondition is closing it the same day. If I break that, I take the overnight statistics as they come.

One week (7DTE)

ForAgainst
Theta a gentle 6.9%/day3.30× ATM · 19.9× OTM
86–93% still there after a dayBreakeven 47.5 points
Room for a multi-day setupWhere "maybe wait" begins

When I use it: when there is a multi-day thesis and the planned exit is written down first.

One month (31DTE)

ForAgainst
Theta 1.4%/day — barely decays7.50× ATM · 74.3× OTM
98% still there after a dayBreakeven 105 points
No time pressureThe strongest pull toward deferring
If direction misses, the time cost goes with the premium

When I use it: when treating it as a long position the way I would a stock. I always set a planned risk amount and a planned exit together.

What that turned into in practice

1. The longer the expiry, the earlier I write the planned exit

A long expiry does not mean "plenty of time to exit." It means "plenty of time to defer exiting."

next day  →  max loss = premium (the structure caps it)
week+     →  I write the exit amount **before** entering.
             If it is not written, I count the full premium as risk

Set after the fact, it becomes "the planned exit was always here" — an explanation, not a rule. So it goes down before entry.

2. Risk is not "the most I could lose" but "what I planned to lose"

The maximum loss on a long option is the premium. But when I actually close at my planned exit, the risk is that planned amount instead.

risk = min(premium paid, planned exit amount)

This only holds because I actually close there. When I do not, it is not an equation, it is a wish.

3. For a given budget, I look at structure, not contract count

one month, 1 contract  = buying time (and paying for it)
next day, 1 contract   = buying direction only (cheap, settled fast)

Three lines

1. Choosing an expiry is choosing a price, not choosing room. 7.5× at the money, 74× out of the money.

2. Delta is similar across expiries. The price is not. −0.455 to −0.472 at the money.

3. The real cost of a long expiry is that it can be deferred. On theta the long expiry wins (1.4%/day vs 52.5%). Without an exit plan, that same slack becomes the justification for not closing. In my record the carried side was one in two to a total loss, and the same-day side was none.

Long expiries are fine. I write the planned exit first. A short expiry closes itself. A long one I have to close myself.

What I do not know yet

  • The 144 trades are not split by expiry — only by whether they were closed the same day. Splitting further leaves samples too small to compare
  • I have not separated the selection effect in those 28 carried trades. See the note above
  • Whether delta −0.052 on an out-of-the-money next-day put is enough in practice is still open

⚠️ The price tables are a one-day closing snapshot. Change volatility and the multiples change. This was a low-volatility session — at-the-money next-day IV was 9.48%. On a high-volatility day the short expiries get relatively more expensive and the multiples compress.


This post does not recommend any security or strategy. It is a personal record of observations. Investment decisions and their outcomes rest with the investor.

How was this to follow?

Knowing where it got hard is what lets me fix the next one. No name, no email.

1 · very hard5 · very easy

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If this was useful

Why gamma, call walls, and put walls behave the way they do comes down to the structure of the options market. These books lay out that structure in order.

  • Strategic US Options Trading I: Fundamentals — Start here if options are new — from reading the chain
  • Strategic US Options Trading II: Strategies — When you want to actually place the order
  • Strategic US Options Trading III: Advanced Strategies — When you want cash flow in a sideways market
More about the books →교보문고 · 예스24 · 알라딘 · 리디북스

Earlier posts live on Tistory. I'm moving them here a few at a time. optiontrading.tistory.com

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