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London and Frankfurt distance from New York, session by session, March to April 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 2026-08-04, from US Market Hours and Daylight Saving Time.

as of series 29×6read in context →
London and Frankfurt distance from New York, session by session, March to April 2026 — 29 rows by 6 columns, computed from US exchange, SIP and OPRA data.
datedate_labellondon_local_openfrankfurt_local_openlondon_hours_aheadfrankfurt_hours_ahead
2026-03-02Mar 214:3015:3056
2026-03-03Mar 314:3015:3056
2026-03-04Mar 414:3015:3056
2026-03-05Mar 514:3015:3056
2026-03-06Mar 614:3015:3056
2026-03-09Mar 913:3014:3045
2026-03-10Mar 1013:3014:3045
2026-03-11Mar 1113:3014:3045
2026-03-12Mar 1213:3014:3045
2026-03-13Mar 1313:3014:3045
2026-03-16Mar 1613:3014:3045
2026-03-17Mar 1713:3014:3045
2026-03-18Mar 1813:3014:3045
2026-03-19Mar 1913:3014:3045
2026-03-20Mar 2013:3014:3045
2026-03-23Mar 2313:3014:3045
2026-03-24Mar 2413:3014:3045
2026-03-25Mar 2513:3014:3045
2026-03-26Mar 2613:3014:3045
2026-03-27Mar 2713:3014:3045
2026-03-30Mar 3014:3015:3056
2026-03-31Mar 3114:3015:3056
2026-04-01Apr 114:3015:3056
2026-04-02Apr 214:3015:3056
2026-04-06Apr 614:3015:3056
2026-04-07Apr 714:3015:3056
2026-04-08Apr 814:3015:3056
2026-04-09Apr 914:3015:3056
2026-04-10Apr 1014:3015:3056
Rows × columns
29 × 6
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 London and Frankfurt distance from New York, session by session, March to April 2026, derived from the stored result.
ColumnTypeRangeNotes
date date 2026-03-02 to 2026-04-10
date_label text 29 distinct values (Apr 1, Apr 10, Apr 2…)
london_local_open text 2 distinct values (13:30, 14:30)
frankfurt_local_open text 2 distinct values (14:30, 15:30)
london_hours_ahead number 4 to 5
frankfurt_hours_ahead 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.

the exact SQL behind every number
WITH ny_open AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
           min(window_start) AS open_utc
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND toDate(toTimeZone(window_start, 'America/New_York')) BETWEEN toDate('2026-03-02') AND toDate('2026-04-10')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) = 570
    GROUP BY session_date
)
SELECT session_date AS date,
       formatDateTime(session_date, '%b %e') AS date_label,
       formatDateTime(toTimeZone(open_utc, 'Europe/London'), '%H:%i') AS london_local_open,
       formatDateTime(toTimeZone(open_utc, 'Europe/Berlin'), '%H:%i') AS frankfurt_local_open,
       round(((toHour(toTimeZone(open_utc, 'Europe/London')) * 60
               + toMinute(toTimeZone(open_utc, 'Europe/London')) + 1440 - 570) % 1440) / 60, 1) AS london_hours_ahead,
       round(((toHour(toTimeZone(open_utc, 'Europe/Berlin')) * 60
               + toMinute(toTimeZone(open_utc, 'Europe/Berlin')) + 1440 - 570) % 1440) / 60, 1) AS frankfurt_hours_ahead
FROM ny_open
ORDER BY date

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