STRASMORE/EXPLORE 2,985 QUERIES

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 2026-10-03, from us-stock-market-hours-lagos-time.

as of series 2×6read in context →
early_closes — 2 rows by 6 columns, computed from US exchange, SIP and OPRA data.
early_close_dayweekdayholidayet_closewat_closedays_away
Nov 27, 2026FriThanksgiving01:00 PM19:0055
Dec 24, 2026ThuChristmas01:00 PM19:0082
Rows × columns
2 × 6
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 early_closes, derived from the stored result.
ColumnTypeRangeNotes
early_close_day text 2 distinct values (Dec 24, 2026, Nov 27, 2026)
weekday text 2 distinct values (Fri, Thu)
holiday text 2 distinct values (Christmas, Thanksgiving)
et_close text 1 distinct value (01:00 PM)
wat_close text 1 distinct value (19:00)
days_away number 55 to 82

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
    formatDateTime(date, '%b %e, %Y')                                      AS early_close_day,
    formatDateTime(date, '%a')                                             AS weekday,
    any(name)                                                              AS holiday,
    formatDateTime(toTimeZone(any(close), 'America/New_York'), '%I:%i %p') AS et_close,
    formatDateTime(toTimeZone(any(close), 'Africa/Lagos'), '%H:%i')        AS wat_close,
    dateDiff('day', today(), date)                                         AS days_away
FROM global_markets.stocks_market_holidays
WHERE date >= today()
  AND status = 'early-close'
GROUP BY date
ORDER BY date
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