upcoming_us_closures
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 2026-10-02, from canada-after-hours-trading.
| holiday_date | weekday | closure_label | holiday | day_status | days_away |
|---|---|---|---|---|---|
| 2026-11-26 | Thu | Nov 26 | Thanksgiving | closed | 55 |
| 2026-11-27 | Fri | Nov 27 | Thanksgiving | early-close | 56 |
| 2026-12-24 | Thu | Dec 24 | Christmas | early-close | 83 |
| 2026-12-25 | Fri | Dec 25 | Christmas | closed | 84 |
| 2027-01-01 | Fri | Jan 1 | New Years Day | closed | 91 |
| 2027-01-18 | Mon | Jan 18 | Martin Luther King, Jr. Day | closed | 108 |
| 2027-02-15 | Mon | Feb 15 | Washington's Birthday | closed | 136 |
| 2027-03-26 | Fri | Mar 26 | Good Friday | closed | 175 |
| 2027-05-31 | Mon | May 31 | Memorial Day | closed | 241 |
| 2027-06-18 | Fri | Jun 18 | Juneteenth | closed | 259 |
| 2027-07-05 | Mon | Jul 5 | Independence Day | closed | 276 |
| 2027-09-06 | Mon | Sep 6 | Labor Day | closed | 339 |
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
holiday_date |
date | 2026-11-26 to 2027-09-06 | |
weekday |
text | 3 distinct values (Fri, Mon, Thu) | |
closure_label |
text | 12 distinct values (Dec 24, Dec 25, Feb 15…) | |
holiday |
text | 10 distinct values (Christmas, Good Friday, Independence Day…) | |
day_status |
text | 2 distinct values (closed, early-close) | |
days_away |
number | 55 to 339 |
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,
formatDateTime(date, '%b %e') AS closure_label,
any(name) AS holiday,
any(status) AS day_status,
dateDiff('day', today(), date) AS days_away
FROM global_markets.stocks_market_holidays
WHERE date >= today()
GROUP BY date
ORDER BY date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.