STRASMORE/EXPLORE 2,830 QUERIES

us_closures_ahead

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.

as of series 12×6read in context →
us_closures_ahead — 12 rows by 6 columns, computed from US exchange, SIP and OPRA data.
holiday_dateclosure_labelholidayday_statusus_session_endsdays_away
2026-11-26Thu Nov 26Thanksgivingclosedno trading57
2026-11-27Fri Nov 27Thanksgivingearly-close01:00 PM58
2026-12-24Thu Dec 24Christmasearly-close01:00 PM85
2026-12-25Fri Dec 25Christmasclosedno trading86
2027-01-01Fri Jan 1New Years Dayclosedno trading93
2027-01-18Mon Jan 18Martin Luther King, Jr. Dayclosedno trading110
2027-02-15Mon Feb 15Washington's Birthdayclosedno trading138
2027-03-26Fri Mar 26Good Fridayclosedno trading177
2027-05-31Mon May 31Memorial Dayclosedno trading243
2027-06-18Fri Jun 18Juneteenthclosedno trading261
2027-07-05Mon Jul 5Independence Dayclosedno trading278
2027-09-06Mon Sep 6Labor Dayclosedno trading341
Rows × columns
12 × 6
Period covered
to
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 us_closures_ahead, derived from the stored result.
ColumnTypeRangeNotes
holiday_date date 2026-11-26 to 2027-09-06
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)
us_session_ends text 2 distinct values (01:00 PM, no trading)
days_away number 57 to 341

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(date)                   AS holiday_date,
    formatDateTime(date, '%a %b %e') AS closure_label,
    any(name)                        AS holiday,
    any(status)                      AS day_status,
    any(if(status = 'early-close',
           formatDateTime(toTimeZone(close, 'America/New_York'), '%I:%i %p'),
           'no trading'))            AS us_session_ends,
    dateDiff('day', today(), date)   AS days_away
FROM global_markets.stocks_market_holidays
WHERE date >= today()
GROUP BY date
ORDER BY date
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