STRASMORE/EXPLORE 2,401 QUERIES

Sydney open and close of the first US session each week

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 in Sydney Time.

as of series 57×5read in context →
Sydney open and close of the first US session each week — 57 rows by 5 columns, computed from US exchange, SIP and OPRA data.
weekweek_labelsydney_opensydney_closehours_ahead_of_new_york
2025-08-1818 Aug 202523:3006:0014
2025-08-2525 Aug 202523:3006:0014
2025-09-011 Sep 202523:3006:0014
2025-09-088 Sep 202523:3006:0014
2025-09-1515 Sep 202523:3006:0014
2025-09-2222 Sep 202523:3006:0014
2025-09-2929 Sep 202523:3006:0014
2025-10-066 Oct 202500:3007:0015
2025-10-1313 Oct 202500:3007:0015
2025-10-2020 Oct 202500:3007:0015
2025-10-2727 Oct 202500:3007:0015
2025-11-033 Nov 202501:3008:0016
2025-11-1010 Nov 202501:3008:0016
2025-11-1717 Nov 202501:3008:0016
2025-11-2424 Nov 202501:3008:0016
2025-12-011 Dec 202501:3008:0016
2025-12-088 Dec 202501:3008:0016
2025-12-1515 Dec 202501:3008:0016
2025-12-2222 Dec 202501:3008:0016
2025-12-2929 Dec 202501:3008:0016
2026-01-055 Jan 202601:3008:0016
2026-01-1212 Jan 202601:3008:0016
2026-01-1919 Jan 202601:3008:0016
2026-01-2626 Jan 202601:3008:0016
2026-02-022 Feb 202601:3008:0016
2026-02-099 Feb 202601:3008:0016
2026-02-1616 Feb 202601:3008:0016
2026-02-2323 Feb 202601:3008:0016
2026-03-022 Mar 202601:3008:0016
2026-03-099 Mar 202600:3007:0015
2026-03-1616 Mar 202600:3007:0015
2026-03-2323 Mar 202600:3007:0015
2026-03-3030 Mar 202600:3007:0015
2026-04-066 Apr 202623:3006:0014
2026-04-1313 Apr 202623:3006:0014
2026-04-2020 Apr 202623:3006:0014
2026-04-2727 Apr 202623:3006:0014
2026-05-044 May 202623:3006:0014
2026-05-1111 May 202623:3006:0014
2026-05-1818 May 202623:3006:0014
2026-05-2525 May 202623:3006:0014
2026-06-011 Jun 202623:3006:0014
2026-06-088 Jun 202623:3006:0014
2026-06-1515 Jun 202623:3006:0014
2026-06-2222 Jun 202623:3006:0014
2026-06-2929 Jun 202623:3006:0014
2026-07-066 Jul 202623:3006:0014
2026-07-1313 Jul 202623:3006:0014
2026-07-2020 Jul 202623:3006:0014
2026-07-2727 Jul 202623:3006:0014
2026-08-033 Aug 202623:3006:0014
2026-08-1010 Aug 202623:3006:0014
2026-08-1717 Aug 202623:3006:0014
2026-08-2424 Aug 202623:3006:0014
2026-08-3131 Aug 202623:3006:0014
2026-09-077 Sep 202623:3006:0014
2026-09-1414 Sep 202623:3006:0014
Rows × columns
57 × 5
Period covered
to
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 Sydney open and close of the first US session each week, derived from the stored result.
ColumnTypeRangeNotes
week date 2025-08-18 to 2026-09-14
week_label text 57 distinct values (1 Dec 2025, 1 Jun 2026, 1 Sep 2025…)
sydney_open text 3 distinct values (00:30, 01:30, 23:30)
sydney_close text 3 distinct values (06:00, 07:00, 08:00)
hours_ahead_of_new_york number 14 to 16

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
    toString(toStartOfWeek(session, 1))                          AS week,
    trimBoth(formatDateTime(toStartOfWeek(session, 1), '%e %b %Y')) AS week_label,
    argMin(sydney_open, session)                                 AS sydney_open,
    argMin(sydney_close, session)                                AS sydney_close,
    argMin(hours_ahead_of_new_york, session)                     AS hours_ahead_of_new_york
FROM
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York'))                                        AS session,
        formatDateTime(toTimeZone(min(window_start), 'Australia/Sydney'), '%H:%i')                   AS sydney_open,
        formatDateTime(toTimeZone(addMinutes(max(window_start), 1), 'Australia/Sydney'), '%H:%i')    AS sydney_close,
        modulo(toHour(toTimeZone(min(window_start), 'Australia/Sydney'))
               - toHour(toTimeZone(min(window_start), 'America/New_York')) + 24, 24)                 AS hours_ahead_of_new_york
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 400
      AND window_start <  today() - 4
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
    GROUP BY session
    HAVING toHour(toTimeZone(min(window_start), 'America/New_York')) * 60
           + toMinute(toTimeZone(min(window_start), 'America/New_York')) = 570
)
GROUP BY toStartOfWeek(session, 1)
ORDER BY week
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