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Local time of the 9:30 a.m. New York open, January against July: static illustrative reference for 2026

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 2026-07-31, from US Stock Market Hours Around the World.

as of ranking 6×4read in context →
Local time of the 9:30 a.m. New York open, January against July: static illustrative reference for 2026 — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
cityjanuary_local_openjuly_local_openhours_moved_across_the_year
London14:3014:300
Frankfurt15:3015:300
Mumbai20:0019:001
Singapore22:3021:301
Tokyo23:3022:301
Sydney01:3023:302
Rows × columns
6 × 4
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 Local time of the 9:30 a.m. New York open, January against July: static illustrative reference for 2026, derived from the stored result.
ColumnTypeRangeNotes
city text 6 distinct values (Frankfurt, London, Mumbai…)
january_local_open text 6 distinct values (01:30, 14:30, 15:30…)
july_local_open text 6 distinct values (14:30, 15:30, 19:00…)
hours_moved_across_the_year number 0 to 2

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
    d.1 AS city,
    d.2 AS january_local_open,
    d.3 AS july_local_open,
    d.4 AS hours_moved_across_the_year
FROM
(
    SELECT arrayJoin([
        ('London',    '14:30', '14:30', 0),
        ('Frankfurt', '15:30', '15:30', 0),
        ('Mumbai',    '20:00', '19:00', 1),
        ('Singapore', '22:30', '21:30', 1),
        ('Tokyo',     '23:30', '22:30', 1),
        ('Sydney',    '01:30', '23:30', 2)
    ]) AS d
)
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