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Japanese local time of each US session boundary, 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 Trading US 0DTE Options From Japan.

as of series 4×4read in context →
Japanese local time of each US session boundary, January against July: static illustrative reference for 2026 — 4 rows by 4 columns, computed from US exchange, SIP and OPRA data.
us_session_markerjanuary_japan_timejuly_japan_timehours_moved_across_the_year
Premarket opens18:0017:001
Opening bell23:3022:301
Closing bell06:0005:001
After-hours ends10:0009:001
Rows × columns
4 × 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 Japanese local time of each US session boundary, January against July: static illustrative reference for 2026, derived from the stored result.
ColumnTypeRangeNotes
us_session_marker text 4 distinct values
january_japan_time text 4 distinct values (06:00, 10:00, 18:00…)
july_japan_time text 4 distinct values (05:00, 09:00, 17:00…)
hours_moved_across_the_year number every row is 1

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.

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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
    s.1 AS us_session_marker,
    s.2 AS january_japan_time,
    s.3 AS july_japan_time,
    s.4 AS hours_moved_across_the_year
FROM
(
    SELECT arrayJoin([
        ('Premarket opens',  '18:00', '17:00', 1),
        ('Opening bell',     '23:30', '22:30', 1),
        ('Closing bell',     '06:00', '05:00', 1),
        ('After-hours ends', '10:00', '09:00', 1)
    ]) AS s
)
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