The New York open on two clocks: month-end sessions, August 2024 to July 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.
| month | month_label | ny_open_et_clock | ny_open_utc_clock | ny_open_et_minutes | ny_open_utc_minutes |
|---|---|---|---|---|---|
| 2024-08 | August 2024 | 09:30 | 13:30 | 570 | 810 |
| 2024-09 | September 2024 | 09:30 | 13:30 | 570 | 810 |
| 2024-10 | October 2024 | 09:30 | 13:30 | 570 | 810 |
| 2024-11 | November 2024 | 09:30 | 14:30 | 570 | 870 |
| 2024-12 | December 2024 | 09:30 | 14:30 | 570 | 870 |
| 2025-01 | January 2025 | 09:30 | 14:30 | 570 | 870 |
| 2025-02 | February 2025 | 09:30 | 14:30 | 570 | 870 |
| 2025-03 | March 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-04 | April 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-05 | May 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-06 | June 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-07 | July 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-08 | August 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-09 | September 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-10 | October 2025 | 09:30 | 13:30 | 570 | 810 |
| 2025-11 | November 2025 | 09:30 | 14:30 | 570 | 870 |
| 2025-12 | December 2025 | 09:30 | 14:30 | 570 | 870 |
| 2026-01 | January 2026 | 09:30 | 14:30 | 570 | 870 |
| 2026-02 | February 2026 | 09:30 | 14:30 | 570 | 870 |
| 2026-03 | March 2026 | 09:30 | 13:30 | 570 | 810 |
| 2026-04 | April 2026 | 09:30 | 13:30 | 570 | 810 |
| 2026-05 | May 2026 | 09:30 | 13:30 | 570 | 810 |
| 2026-06 | June 2026 | 09:30 | 13:30 | 570 | 810 |
| 2026-07 | July 2026 | 09:30 | 13:30 | 570 | 810 |
- Rows × columns
- 24 × 6
- 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 |
|---|---|---|---|
month |
text | 24 distinct values (2024-08, 2024-09, 2024-10…) | |
month_label |
text | 24 distinct values (April 2025, April 2026, August 2024…) | |
ny_open_et_clock |
text | 1 distinct value (09:30) | |
ny_open_utc_clock |
text | 2 distinct values (13:30, 14:30) | |
ny_open_et_minutes |
number | every row is 570 | US dollars |
ny_open_utc_minutes |
number | 810 to 870 | US dollars |
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.
WITH ny_opens 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('2024-08-01') AND toDate('2026-07-31')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) = 570
GROUP BY session_date
)
SELECT formatDateTime(toStartOfMonth(session_date), '%Y-%m') AS month,
formatDateTimeInJodaSyntax(toStartOfMonth(session_date), 'MMMM yyyy') AS month_label,
formatDateTime(toTimeZone(argMax(open_utc, session_date), 'America/New_York'), '%H:%i') AS ny_open_et_clock,
formatDateTime(argMax(open_utc, session_date), '%H:%i') AS ny_open_utc_clock,
toHour(toTimeZone(argMax(open_utc, session_date), 'America/New_York')) * 60
+ toMinute(toTimeZone(argMax(open_utc, session_date), 'America/New_York')) AS ny_open_et_minutes,
toHour(argMax(open_utc, session_date)) * 60
+ toMinute(argMax(open_utc, session_date)) AS ny_open_utc_minutes
FROM ny_opens
GROUP BY toStartOfMonth(session_date)
ORDER BY toStartOfMonth(session_date)