STRASMORE/EXPLORE 2,500 QUERIES

upcoming_closures

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 2026-09-23, from do-mutual-funds-trade-on-holidays.

as of series 12×4read in context →
upcoming_closures — 12 rows by 4 columns, computed from US exchange, SIP and OPRA data.
closure_labelholidayday_statusdays_away
Thu Nov 26Thanksgivingclosed64
Fri Nov 27Thanksgivingearly-close65
Thu Dec 24Christmasearly-close92
Fri Dec 25Christmasclosed93
Fri Jan 1New Years Dayclosed100
Mon Jan 18Martin Luther King, Jr. Dayclosed117
Mon Feb 15Washington's Birthdayclosed145
Fri Mar 26Good Fridayclosed184
Mon May 31Memorial Dayclosed250
Fri Jun 18Juneteenthclosed268
Mon Jul 5Independence Dayclosed285
Mon Sep 6Labor Dayclosed348
Rows × columns
12 × 4
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for upcoming_closures, derived from the stored result.
ColumnTypeRangeNotes
closure_label text 12 distinct values (Fri Dec 25, Fri Jan 1, Fri Jun 18…)
holiday text 10 distinct values (Christmas, Good Friday, Independence Day…)
day_status text 2 distinct values (closed, early-close)
days_away number 64 to 348

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
    concat(formatDateTime(date, '%a %b '), toString(toDayOfMonth(date))) AS closure_label,
    any(name)                                                            AS holiday,
    any(status)                                                          AS day_status,
    dateDiff('day', today(), date)                                       AS days_away
FROM global_markets.stocks_market_holidays
WHERE date >= today()
GROUP BY date
ORDER BY date
⌘/Ctrl + Enter

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