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Upcoming US market closures and early closes

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 2026-11-01, from After-Hours Trading on Holidays and Weekends.

as of series 12×7read in context →
Upcoming US market closures and early closes — 12 rows by 7 columns, computed from US exchange, SIP and OPRA data.
holiday_dateclosure_labelweekdayholidayday_statusregular_close_etdays_away
2026-11-26November 26ThuThanksgivingclosed25
2026-11-27November 27FriThanksgivingearly-close01:00 PM26
2026-12-24December 24ThuChristmasearly-close01:00 PM53
2026-12-25December 25FriChristmasclosed54
2027-01-01January 1FriNew Years Dayclosed61
2027-01-18January 18MonMartin Luther King, Jr. Dayclosed78
2027-02-15February 15MonWashington's Birthdayclosed106
2027-03-26March 26FriGood Fridayclosed145
2027-05-31May 31MonMemorial Dayclosed211
2027-06-18June 18FriJuneteenthclosed229
2027-07-05July 5MonIndependence Dayclosed246
2027-09-06September 6MonLabor Dayclosed309
Rows × columns
12 × 7
Period covered
to
Computed
Completeness
Some fields are partly empty — see the columns below
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 US market closures and early closes, derived from the stored result.
ColumnTypeRangeNotes
holiday_date date 2026-11-26 to 2027-09-06
closure_label text 12 distinct values (December 24, December 25, February 15…)
weekday text 3 distinct values (Fri, Mon, Thu)
holiday text 10 distinct values (Christmas, Good Friday, Independence Day…)
day_status text 2 distinct values (closed, early-close)
regular_close_et text 1 distinct value (01:00 PM) 2 of 12 rows populated
days_away number 25 to 309

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,
    concat(monthName(date), ' ', toString(toDayOfMonth(date)))  AS closure_label,
    formatDateTime(date, '%a')                                  AS weekday,
    any(name)                                                   AS holiday,
    any(status)                                                 AS day_status,
    any(if(status = 'early-close',
           formatDateTime(toTimeZone(close, 'America/New_York'), '%I:%i %p'),
           ''))                                                 AS regular_close_et,
    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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More from this analysisAfter-Hours Trading on Holidays and Weekends
First and last SPY print, Thanksgiving 2025 week and the week after series 12×5 → Average SPY minute bars per calendar day, by weekday series 7×4 → SPY minute bars by ET clock hour: a normal day, a holiday, a half day ranking 15×4 → SPY daily bar volume vs. the regular-session slice (trailing month) series 20×5 → SPY volume by half hour: a 1:00 p.m. half day against an ordinary Friday series 13×3 → What the US tape did on 2026 Tokyo market holidays series 13×5 → See all 3,293 queries →