STRASMORE/EXPLORE 3,293 QUERIES
Full options quote history: clean NBBO bid/ask snapshots for any US option contract at the interval you choose, by SQL API, $79 a month. See the options quotes plan

The four-hour weeks of 2026 and 2027, when 9:30 a.m. New York is 13:30 London

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 2026-09-26, from US Stock Market Hours in London Time (BST/GMT).

as of table 4×5read in context →
The four-hour weeks of 2026 and 2027, when 9:30 a.m. New York is 13:30 London — 4 rows by 5 columns, computed from US exchange, SIP and OPRA data.
labelbeginsendsdays_at_four_hoursregular_session_london
Spring 2026Mar 8Mar 282113:30 to 20:00
Autumn 2026Oct 25Oct 31713:30 to 20:00
Spring 2027Mar 14Mar 271413:30 to 20:00
Autumn 2027Oct 31Nov 6713:30 to 20:00
Rows × columns
4 × 5
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 The four-hour weeks of 2026 and 2027, when 9:30 a.m. New York is 13:30 London, derived from the stored result.
ColumnTypeRangeNotes
label text 4 distinct values (Autumn 2026, Autumn 2027, Spring 2026…)
begins text 4 distinct values (Mar 14, Mar 8, Oct 25…)
ends text 4 distinct values (Mar 27, Mar 28, Nov 6…)
days_at_four_hours number 7 to 21
regular_session_london text 1 distinct value (13:30 to 20:00)

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
    concat(if(toMonth(min(day)) < 7, 'Spring ', 'Autumn '), toString(toYear(min(day)))) AS label,
    concat(formatDateTime(min(day), '%b'), ' ', toString(toDayOfMonth(min(day))))       AS begins,
    concat(formatDateTime(max(day), '%b'), ' ', toString(toDayOfMonth(max(day))))       AS ends,
    count()                                                                              AS days_at_four_hours,
    concat(any(open_london), ' to ', any(close_london))                                  AS regular_session_london
FROM
(
    SELECT
        day,
        formatDateTime(toTimeZone(toDateTime(concat(toString(day), ' 09:30:00'), 'America/New_York'), 'Europe/London'), '%H:%i') AS open_london,
        formatDateTime(toTimeZone(toDateTime(concat(toString(day), ' 16:00:00'), 'America/New_York'), 'Europe/London'), '%H:%i') AS close_london
    FROM
    (
        SELECT toDate('2026-01-01') + arrayJoin(range(730)) AS day
    )
)
WHERE open_london = '13:30'
GROUP BY toYear(day), toMonth(day) < 7
ORDER BY min(day)
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisUS Stock Market Hours in London Time (BST/GMT)
Upcoming US market closures, with London's status on each day table 12×7 → US trading sessions on a London clock table 4×5 → Sydney open and close of the first US session each week series 57×5 → Upcoming US market closures, in Sydney date and time series 12×6 → The three Sydney opening times, counted from a year of SPY sessions ranking 3×4 → The US trading day on a UAE clock, across a US time change table 10×7 → See all 3,293 queries →