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The German clock time of the US open, week by 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 2026-11-07, from US Market Hours in German Time (CET/CEST).

as of series 58×4read in context →
The German clock time of the US open, week by week — 58 rows by 4 columns, computed from US exchange, SIP and OPRA data.
weekgerman_opengerman_closeberlin_minus_et_hours
2025-09-2915:October22:October6
2025-10-0615:October22:October6
2025-10-1315:October22:October6
2025-10-2015:October22:October6
2025-10-2714:October21:October5
2025-11-0315:November22:November6
2025-11-1015:November22:November6
2025-11-1715:November22:November6
2025-11-2415:November22:November6
2025-12-0115:December22:December6
2025-12-0815:December22:December6
2025-12-1515:December22:December6
2025-12-2215:December22:December6
2025-12-2915:January22:January6
2026-01-0515:January22:January6
2026-01-1215:January22:January6
2026-01-1915:January22:January6
2026-01-2615:January22:January6
2026-02-0215:February22:February6
2026-02-0915:February22:February6
2026-02-1615:February22:February6
2026-02-2315:February22:February6
2026-03-0215:March22:March6
2026-03-0914:March21:March5
2026-03-1614:March21:March5
2026-03-2314:March21:March5
2026-03-3015:March22:March6
2026-04-0615:April22:April6
2026-04-1315:April22:April6
2026-04-2015:April22:April6
2026-04-2715:April22:April6
2026-05-0415:May22:May6
2026-05-1115:May22:May6
2026-05-1815:May22:May6
2026-05-2515:May22:May6
2026-06-0115:June22:June6
2026-06-0815:June22:June6
2026-06-1515:June22:June6
2026-06-2215:June22:June6
2026-06-2915:June22:June6
2026-07-0615:July22:July6
2026-07-1315:July22:July6
2026-07-2015:July22:July6
2026-07-2715:July22:July6
2026-08-0315:August22:August6
2026-08-1015:August22:August6
2026-08-1715:August22:August6
2026-08-2415:August22:August6
2026-08-3115:August22:August6
2026-09-0715:September22:September6
2026-09-1415:September22:September6
2026-09-2115:September22:September6
2026-09-2815:September22:September6
2026-10-0515:October22:October6
2026-10-1215:October22:October6
2026-10-1915:October22:October6
2026-10-2614:October21:October5
2026-11-0215:November22:November6
Rows × columns
58 × 4
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 The German clock time of the US open, week by week, derived from the stored result.
ColumnTypeRangeNotes
week date 2025-09-29 to 2026-11-02
german_open text 14 distinct values (14:March, 14:October, 15:April…)
german_close text 14 distinct values (21:March, 21:October, 22:April…)
berlin_minus_et_hours number 5 to 6

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(week)                                                            AS week,
    any(formatDateTime(toTimeZone(us_open_et, 'Europe/Berlin'), '%H:%M'))     AS german_open,
    any(formatDateTime(toTimeZone(us_close_et, 'Europe/Berlin'), '%H:%M'))    AS german_close,
    any(toHour(toTimeZone(us_open_et, 'Europe/Berlin')) - toHour(us_open_et)) AS berlin_minus_et_hours
FROM
(
    SELECT
        toMonday(date)                                                      AS week,
        toDateTime(concat(toString(date), ' 09:30:00'), 'America/New_York') AS us_open_et,
        toDateTime(concat(toString(date), ' 16:00:00'), 'America/New_York') AS us_close_et
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= today() - 400
)
GROUP BY week
ORDER BY week
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More from this analysisUS Market Hours in German Time (CET/CEST)
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