STRASMORE/EXPLORE 2,433 QUERIES

sessions_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 2026-09-20, from us-stock-market-hours-london-time.

as of table 4×5read in context →
sessions_london — 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 sessions_london, 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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