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.
| date | date_label | london_local_open | frankfurt_local_open | london_hours_ahead | frankfurt_hours_ahead |
|---|---|---|---|---|---|
| 2026-03-02 | Mar 2 | 14:30 | 15:30 | 5 | 6 |
| 2026-03-03 | Mar 3 | 14:30 | 15:30 | 5 | 6 |
| 2026-03-04 | Mar 4 | 14:30 | 15:30 | 5 | 6 |
| 2026-03-05 | Mar 5 | 14:30 | 15:30 | 5 | 6 |
| 2026-03-06 | Mar 6 | 14:30 | 15:30 | 5 | 6 |
| 2026-03-09 | Mar 9 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-10 | Mar 10 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-11 | Mar 11 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-12 | Mar 12 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-13 | Mar 13 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-16 | Mar 16 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-17 | Mar 17 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-18 | Mar 18 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-19 | Mar 19 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-20 | Mar 20 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-23 | Mar 23 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-24 | Mar 24 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-25 | Mar 25 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-26 | Mar 26 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-27 | Mar 27 | 13:30 | 14:30 | 4 | 5 |
| 2026-03-30 | Mar 30 | 14:30 | 15:30 | 5 | 6 |
| 2026-03-31 | Mar 31 | 14:30 | 15:30 | 5 | 6 |
| 2026-04-01 | Apr 1 | 14:30 | 15:30 | 5 | 6 |
| 2026-04-02 | Apr 2 | 14:30 | 15:30 | 5 | 6 |
| 2026-04-06 | Apr 6 | 14:30 | 15:30 | 5 | 6 |
| 2026-04-07 | Apr 7 | 14:30 | 15:30 | 5 | 6 |
| 2026-04-08 | Apr 8 | 14:30 | 15:30 | 5 | 6 |
| 2026-04-09 | Apr 9 | 14:30 | 15:30 | 5 | 6 |
| 2026-04-10 | Apr 10 | 14:30 | 15:30 | 5 | 6 |
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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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