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London and Tokyo distance from New York, session by session, October to November 2025

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 25×6read in context →
London and Tokyo distance from New York, session by session, October to November 2025 — 25 rows by 6 columns, computed from US exchange, SIP and OPRA data.
datedate_labellondon_local_opentokyo_local_openlondon_hours_aheadtokyo_hours_ahead
2025-10-06Oct 614:3022:30513
2025-10-07Oct 714:3022:30513
2025-10-08Oct 814:3022:30513
2025-10-09Oct 914:3022:30513
2025-10-10Oct 1014:3022:30513
2025-10-13Oct 1314:3022:30513
2025-10-14Oct 1414:3022:30513
2025-10-15Oct 1514:3022:30513
2025-10-16Oct 1614:3022:30513
2025-10-17Oct 1714:3022:30513
2025-10-20Oct 2014:3022:30513
2025-10-21Oct 2114:3022:30513
2025-10-22Oct 2214:3022:30513
2025-10-23Oct 2314:3022:30513
2025-10-24Oct 2414:3022:30513
2025-10-27Oct 2713:3022:30413
2025-10-28Oct 2813:3022:30413
2025-10-29Oct 2913:3022:30413
2025-10-30Oct 3013:3022:30413
2025-10-31Oct 3113:3022:30413
2025-11-03Nov 314:3023:30514
2025-11-04Nov 414:3023:30514
2025-11-05Nov 514:3023:30514
2025-11-06Nov 614:3023:30514
2025-11-07Nov 714:3023:30514
Rows × columns
25 × 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 Tokyo distance from New York, session by session, October to November 2025, derived from the stored result.
ColumnTypeRangeNotes
date date 2025-10-06 to 2025-11-07
date_label text 25 distinct values (Nov 3, Nov 4, Nov 5…)
london_local_open text 2 distinct values (13:30, 14:30)
tokyo_local_open text 2 distinct values (22:30, 23:30)
london_hours_ahead number 4 to 5
tokyo_hours_ahead number 13 to 14

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('2025-10-06') AND toDate('2025-11-07')
      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, 'Asia/Tokyo'), '%H:%i') AS tokyo_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, 'Asia/Tokyo')) * 60
               + toMinute(toTimeZone(open_utc, 'Asia/Tokyo')) + 1440 - 570) % 1440) / 60, 1) AS tokyo_hours_ahead
FROM ny_open
ORDER BY date

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