witching_months
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 2026-10-16, from options-expiration-day-clock-lagos-time.
| month | expiry_friday_m | other_friday_avg_m |
|---|---|---|
| 2025-10 | 80.6 | 83.4 |
| 2025-11 | 109.2 | 71.7 |
| 2025-12 | 84.8 | 62.9 |
| 2026-01 | 67.1 | 70.5 |
| 2026-02 | 88.8 | 76.5 |
| 2026-03 | 131.2 | 85 |
| 2026-04 | 59.7 | 36.5 |
| 2026-05 | 48.4 | 36.6 |
| 2026-07 | 51.5 | 41.9 |
| 2026-08 | 33.7 | 29.7 |
| 2026-09 | 54.3 | 31 |
- Rows × columns
- 11 × 3
- 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 |
|---|---|---|---|
month |
text | 11 distinct values (2025-10, 2025-11, 2025-12…) | |
expiry_friday_m |
number | 33.7 to 131.2 | |
other_friday_avg_m |
number | 29.7 to 85 |
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.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
SELECT
formatDateTime(et_day, '%Y-%m') AS month,
round(sumIf(day_volume, toDayOfMonth(et_day) BETWEEN 15 AND 21) / 1e6, 1) AS expiry_friday_m,
round(avgIf(day_volume, NOT (toDayOfMonth(et_day) BETWEEN 15 AND 21)) / 1e6, 1) AS other_friday_avg_m
FROM
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS et_day,
sum(toFloat64(volume)) AS day_volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2025-10-01 00:00:00')
AND window_start < toDateTime('2026-10-10 00:00:00')
AND toDayOfWeek(toTimeZone(window_start, 'America/New_York')) = 5
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
GROUP BY et_day
) AS fridays
GROUP BY month
HAVING countIf(toDayOfMonth(et_day) BETWEEN 15 AND 21) > 0
AND countIf(NOT (toDayOfMonth(et_day) BETWEEN 15 AND 21)) > 0
ORDER BY month
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