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US trading sessions on a London clock

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 →
US trading sessions on a London clock — 4 rows by 5 columns, computed from US exchange, SIP and OPRA data.
segmentnew_york_etlondon_summer_bstlondon_winter_gmtlondon_four_hour_weeks
Pre-market04:00 to 09:30 ET09:00 to 14:3009:00 to 14:3008:00 to 13:30
Regular session09:30 to 16:00 ET14:30 to 21:0014:30 to 21:0013:30 to 20:00
Early close (half day)09:30 to 13:00 ET14:30 to 18:0014:30 to 18:0013:30 to 17:00
After-hours16:00 to 20:00 ET21:00 to 01:0021:00 to 01:0020:00 to 00:00
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 US trading sessions on a London clock, derived from the stored result.
ColumnTypeRangeNotes
segment text 4 distinct values
new_york_et text 4 distinct values
london_summer_bst text 4 distinct values
london_winter_gmt text 4 distinct values
london_four_hour_weeks text 4 distinct values

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.

WITH
    '2026-07-15' AS summer_day,
    '2026-01-15' AS winter_day,
    '2026-03-16' AS gap_day
SELECT
    segment,
    concat(et_start, ' to ', et_end, ' ET') AS new_york_et,
    concat(formatDateTime(toTimeZone(toDateTime(concat(summer_day, ' ', et_start, ':00'), 'America/New_York'), 'Europe/London'), '%H:%i'),
           ' to ',
           formatDateTime(toTimeZone(toDateTime(concat(summer_day, ' ', et_end, ':00'), 'America/New_York'), 'Europe/London'), '%H:%i')) AS london_summer_bst,
    concat(formatDateTime(toTimeZone(toDateTime(concat(winter_day, ' ', et_start, ':00'), 'America/New_York'), 'Europe/London'), '%H:%i'),
           ' to ',
           formatDateTime(toTimeZone(toDateTime(concat(winter_day, ' ', et_end, ':00'), 'America/New_York'), 'Europe/London'), '%H:%i')) AS london_winter_gmt,
    concat(formatDateTime(toTimeZone(toDateTime(concat(gap_day, ' ', et_start, ':00'), 'America/New_York'), 'Europe/London'), '%H:%i'),
           ' to ',
           formatDateTime(toTimeZone(toDateTime(concat(gap_day, ' ', et_end, ':00'), 'America/New_York'), 'Europe/London'), '%H:%i')) AS london_four_hour_weeks
FROM
(
    SELECT
        i,
        arrayElement(['Pre-market', 'Regular session', 'Early close (half day)', 'After-hours'], i) AS segment,
        arrayElement(['04:00', '09:30', '09:30', '16:00'], i)                                       AS et_start,
        arrayElement(['09:30', '16:00', '13:00', '20:00'], i)                                       AS et_end
    FROM
    (
        SELECT arrayJoin([1, 2, 3, 4]) AS i
    )
)
ORDER BY i
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