STRASMORE/EXPLORE 2,595 QUERIES

upcoming

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 2026-09-25, from mutual-fund-order-cutoff-times-by-broker.

as of series 12×7read in context →
upcoming — 12 rows by 7 columns, computed from US exchange, SIP and OPRA data.
closure_dateweekdaydate_labelclosure_nameday_statusearly_close_etdays_away
2026-11-26ThuNovember 26Thanksgivingclosed62
2026-11-27FriNovember 27Thanksgivingearly-close01:00 PM63
2026-12-24ThuDecember 24Christmasearly-close01:00 PM90
2026-12-25FriDecember 25Christmasclosed91
2027-01-01FriJanuary 1New Years Dayclosed98
2027-01-18MonJanuary 18Martin Luther King, Jr. Dayclosed115
2027-02-15MonFebruary 15Washington's Birthdayclosed143
2027-03-26FriMarch 26Good Fridayclosed182
2027-05-31MonMay 31Memorial Dayclosed248
2027-06-18FriJune 18Juneteenthclosed266
2027-07-05MonJuly 5Independence Dayclosed283
2027-09-06MonSeptember 6Labor Dayclosed346
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, derived from the stored result.
ColumnTypeRangeNotes
closure_date date 2026-11-26 to 2027-09-06
weekday text 3 distinct values (Fri, Mon, Thu)
date_label text 12 distinct values (December 24, December 25, February 15…)
closure_name text 10 distinct values (Christmas, Good Friday, Independence Day…)
day_status text 2 distinct values (closed, early-close)
early_close_et text 1 distinct value (01:00 PM) 2 of 12 rows populated
days_away number 62 to 346

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 closure_date,
    formatDateTime(date, '%a')                                 AS weekday,
    concat(monthName(date), ' ', toString(toDayOfMonth(date))) AS date_label,
    any(name)                                                  AS closure_name,
    any(status)                                                AS day_status,
    any(if(status = 'early-close',
           formatDateTime(toTimeZone(close, 'America/New_York'), '%I:%i %p'),
           ''))                                                AS early_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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