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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.

as of series 24×6read in context →
The New York open on two clocks: month-end sessions, August 2024 to July 2026 — 24 rows by 6 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labelny_open_et_clockny_open_utc_clockny_open_et_minutesny_open_utc_minutes
2024-08August 202409:3013:30570810
2024-09September 202409:3013:30570810
2024-10October 202409:3013:30570810
2024-11November 202409:3014:30570870
2024-12December 202409:3014:30570870
2025-01January 202509:3014:30570870
2025-02February 202509:3014:30570870
2025-03March 202509:3013:30570810
2025-04April 202509:3013:30570810
2025-05May 202509:3013:30570810
2025-06June 202509:3013:30570810
2025-07July 202509:3013:30570810
2025-08August 202509:3013:30570810
2025-09September 202509:3013:30570810
2025-10October 202509:3013:30570810
2025-11November 202509:3014:30570870
2025-12December 202509:3014:30570870
2026-01January 202609:3014:30570870
2026-02February 202609:3014:30570870
2026-03March 202609:3013:30570810
2026-04April 202609:3013:30570810
2026-05May 202609:3013:30570810
2026-06June 202609:3013:30570810
2026-07July 202609:3013:30570810
Rows × columns
24 × 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 The New York open on two clocks: month-end sessions, August 2024 to July 2026, derived from the stored result.
ColumnTypeRangeNotes
month date 2024-08 to 2026-07
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.

the exact SQL behind every number
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)

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