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Upcoming sessions where the standard 4 p.m. cutoff does not apply

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 2026-11-07, from Can You Cancel a Mutual Fund Order? 4 pm Cutoff.

as of series 12×6read in context →
Upcoming sessions where the standard 4 p.m. cutoff does not apply — 12 rows by 6 columns, computed from US exchange, SIP and OPRA data.
holiday_dateweekdayholidayday_statuscutoff_etdays_away
2026-11-26ThuThanksgivingclosedno NAV struck19
2026-11-27FriThanksgivingearly-close01:00 PM20
2026-12-24ThuChristmasearly-close01:00 PM47
2026-12-25FriChristmasclosedno NAV struck48
2027-01-01FriNew Years Dayclosedno NAV struck55
2027-01-18MonMartin Luther King, Jr. Dayclosedno NAV struck72
2027-02-15MonWashington's Birthdayclosedno NAV struck100
2027-03-26FriGood Fridayclosedno NAV struck139
2027-05-31MonMemorial Dayclosedno NAV struck205
2027-06-18FriJuneteenthclosedno NAV struck223
2027-07-05MonIndependence Dayclosedno NAV struck240
2027-09-06MonLabor Dayclosedno NAV struck303
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 Upcoming sessions where the standard 4 p.m. cutoff does not apply, derived from the stored result.
ColumnTypeRangeNotes
holiday_date date 2026-11-26 to 2027-09-06
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)
cutoff_et text 2 distinct values (01:00 PM, no NAV struck)
days_away number 19 to 303

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')           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'),
           'no NAV struck'))             AS cutoff_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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