Unscheduled closures on the tape: zero regular-session bars on an ordinary weekday

Name: Unscheduled closures on the tape: zero regular-session bars on an ordinary weekday
Creator: Strasmore
Published: 2026-10-08
License: https://www.strasmore.com/terms/

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 2026-10-08, from Is the Stock Market Open Today?.

as of 2026-10-08 series 5×4read in context →

Unscheduled closures on the tape: zero regular-session bars on an ordinary weekday — 5 rows by 4 columns, computed 2026-10-08 from US exchange, SIP and OPRA data.
closure_date	falls_on	name	spy_regular_session_bars
2012-10-29	Mon	Hurricane Sandy — day 1	0
2012-10-30	Tue	Hurricane Sandy — day 2	0
2012-10-31	Wed	Reopening after Sandy	390
2018-12-05	Wed	Mourning — George H. W. Bush	0
2025-01-09	Thu	Mourning — Jimmy Carter	0

Rows × columns: 5 × 4
Period covered: 2012-10-29 to 2025-01-09
Computed: 2026-10-08
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 Unscheduled closures on the tape: zero regular-session bars on an ordinary weekday, derived from the stored result.
Column	Type	Range
`closure_date`	date	2012-10-29 to 2025-01-09
`falls_on`	text	4 distinct values (Mon, Thu, Tue…)
`name`	text	5 distinct values
`spy_regular_session_bars`	number	0 to 390

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 2026-10-08, 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.

WITH events AS (
    SELECT arrayJoin([
        (toDate('2012-10-29'), 'Hurricane Sandy — day 1'),
        (toDate('2012-10-30'), 'Hurricane Sandy — day 2'),
        (toDate('2012-10-31'), 'Reopening after Sandy'),
        (toDate('2018-12-05'), 'Mourning — George H. W. Bush'),
        (toDate('2025-01-09'), 'Mourning — Jimmy Carter')
    ]) AS e
),
tape AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d, count() AS bars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND ((window_start >= '2012-10-29 00:00:00' AND window_start < '2012-11-01 12:00:00')
        OR (window_start >= '2018-12-05 00:00:00' AND window_start < '2018-12-06 12:00:00')
        OR (window_start >= '2025-01-09 00:00:00' AND window_start < '2025-01-10 12:00:00'))
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY d
)
SELECT toString(e.1) AS closure_date,
       formatDateTime(e.1, '%a') AS falls_on,
       e.2 AS name,
       toUInt32(ifNull(t.bars, 0)) AS spy_regular_session_bars
FROM events
LEFT JOIN tape AS t ON t.d = events.e.1
ORDER BY e.1

SQL to run

WITH events AS (
    SELECT arrayJoin([
        (toDate('2012-10-29'), 'Hurricane Sandy — day 1'),
        (toDate('2012-10-30'), 'Hurricane Sandy — day 2'),
        (toDate('2012-10-31'), 'Reopening after Sandy'),
        (toDate('2018-12-05'), 'Mourning — George H. W. Bush'),
        (toDate('2025-01-09'), 'Mourning — Jimmy Carter')
    ]) AS e
),
tape AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d, count() AS bars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND ((window_start >= '2012-10-29 00:00:00' AND window_start < '2012-11-01 12:00:00')
        OR (window_start >= '2018-12-05 00:00:00' AND window_start < '2018-12-06 12:00:00')
        OR (window_start >= '2025-01-09 00:00:00' AND window_start < '2025-01-10 12:00:00'))
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY d
)
SELECT toString(e.1) AS closure_date,
       formatDateTime(e.1, '%a') AS falls_on,
       e.2 AS name,
       toUInt32(ifNull(t.bars, 0)) AS spy_regular_session_bars
FROM events
LEFT JOIN tape AS t ON t.d = events.e.1
ORDER BY e.1

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