AAPL contracts trading on their own expiration day: share finishing out of the money, six monthly cycles
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-08-01, from How Risky Is Options Trading? The Mechanics.
| cycle | contract_count | calls_otm_pct | puts_otm_pct |
|---|---|---|---|
| Dec 2025 | 102 | 23.9 | 68.6 |
| Jan 2026 | 93 | 39 | 58.8 |
| Feb 2026 | 87 | 40.7 | 63.6 |
| Mar 2026 | 89 | 49.1 | 62.5 |
| Apr 2026 | 101 | 29.5 | 75 |
| May 2026 | 136 | 20 | 70.6 |
- Rows × columns
- 6 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
cycle |
text | 6 distinct values (Apr 2026, Dec 2025, Feb 2026…) | |
contract_count |
number | 87 to 136 | count |
calls_otm_pct |
number | 20 to 49.1 | percent |
puts_otm_pct |
number | 58.8 to 75 | percent |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
the exact SQL behind every number
WITH traded AS (
SELECT toDate(sip_timestamp) AS session_date,
ticker
FROM global_markets.options_trades
WHERE ticker LIKE 'O:AAPL2%'
AND toDate(sip_timestamp) IN ('2025-12-19', '2026-01-16', '2026-02-20', '2026-03-20', '2026-04-17', '2026-05-15')
GROUP BY session_date, ticker
),
expiring AS (
SELECT session_date AS expiration_date,
substring(ticker, 13, 1) AS right_code,
toFloat64OrZero(substring(ticker, 14, 8)) / 1000 AS strike_usd
FROM traded
WHERE toDate(concat('20', substring(ticker, 7, 2), '-', substring(ticker, 9, 2), '-', substring(ticker, 11, 2))) = session_date
),
spot AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS expiration_date,
argMax(toFloat64(close), window_start) AS closing_price
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'AAPL'
AND toDate(toTimeZone(window_start, 'America/New_York')) IN ('2025-12-19', '2026-01-16', '2026-02-20', '2026-03-20', '2026-04-17', '2026-05-15')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY expiration_date
)
SELECT formatDateTimeInJodaSyntax(e.expiration_date, 'MMM yyyy') AS cycle,
count() AS contract_count,
round(100 * countIf(e.right_code = 'C' AND e.strike_usd > s.closing_price) / countIf(e.right_code = 'C'), 1) AS calls_otm_pct,
round(100 * countIf(e.right_code = 'P' AND e.strike_usd < s.closing_price) / countIf(e.right_code = 'P'), 1) AS puts_otm_pct
FROM expiring AS e
INNER JOIN spot AS s ON e.expiration_date = s.expiration_date
GROUP BY e.expiration_date
HAVING countIf(e.right_code = 'C') > 0 AND countIf(e.right_code = 'P') > 0
ORDER BY e.expiration_date
Run your own version of this
The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.
More from this analysisHow Risky Is Options Trading? The Mechanics
One AAPL call through its final month: closing premium split into intrinsic value and time value
series 23×5
→
Same AAPL call, same window: session moves for the contract and for the stock
series 23×3
→
Weekend gaps: prior close to next open, six widely held names, August 2024 to July 2026
table 6×5
→
How far the Friday close lands from the nearest whole dollar
ranking 10×3
→
AAPL's final half hour on its tightest monthly expiration close since 2025
series 30×5
→
A 15% cap and 9% buffer, seen from three entry points
ranking 21×4
→
See all 2,170 queries →