us_thanksgiving_week
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 2026-09-30, from does-the-us-market-close-for-japanese-holidays.
| session_date | session_label | regular_session_bars |
|---|---|---|
| 2025-11-21 | Fri Nov 21 | 390 |
| 2025-11-24 | Mon Nov 24 | 390 |
| 2025-11-25 | Tue Nov 25 | 390 |
| 2025-11-26 | Wed Nov 26 | 390 |
| 2025-11-27 | Thu Nov 27 | 0 |
| 2025-11-28 | Fri Nov 28 | 211 |
| 2025-12-01 | Mon Dec 1 | 390 |
- Rows × columns
- 7 × 3
- Period covered
- to
- 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 |
|---|---|---|---|
session_date |
date | 2025-11-21 to 2025-12-01 | |
session_label |
text | 7 distinct values (Fri Nov 21, Fri Nov 28, Mon Dec 1…) | |
regular_session_bars |
number | 0 to 390 |
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
toString(cal.day) AS session_date,
formatDateTime(cal.day, '%a %b %e') AS session_label,
toUInt32(ifNull(t.bars, 0)) AS regular_session_bars
FROM
(
SELECT toDate('2025-11-21') + arrayJoin(range(11)) AS day
) AS cal
LEFT JOIN
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
count() AS bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2025-11-21 00:00:00')
AND window_start < toDateTime('2025-12-03 00:00:00')
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 d
) AS t ON t.d = cal.day
WHERE toDayOfWeek(cal.day) BETWEEN 1 AND 5
ORDER BY cal.day
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.