STRASMORE/EXPLORE 2,595 QUERIES

dst_shift_dates

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 2026-09-25, from us-stock-market-hours-singapore-time.

as of series 9×5read in context →
dst_shift_dates — 9 rows by 5 columns, computed from US exchange, SIP and OPRA data.
shift_dateshift_date_labelsgt_open_beforesgt_open_aftersgt_open_hour
2022-03-14Mar 14, 202222:3021:3021
2022-11-07Nov 7, 202221:3022:3022
2023-03-13Mar 13, 202322:3021:3021
2023-11-06Nov 6, 202321:3022:3022
2024-03-11Mar 11, 202422:3021:3021
2024-11-04Nov 4, 202421:3022:3022
2025-03-10Mar 10, 202522:3021:3021
2025-11-03Nov 3, 202521:3022:3022
2026-03-09Mar 9, 202622:3021:3021
Rows × columns
9 × 5
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 dst_shift_dates, derived from the stored result.
ColumnTypeRangeNotes
shift_date date 2022-03-14 to 2026-03-09
shift_date_label text 9 distinct values (Mar 10, 2025, Mar 11, 2024, Mar 13, 2023…)
sgt_open_before text 2 distinct values (21:30, 22:30)
sgt_open_after text 2 distinct values (21:30, 22:30)
sgt_open_hour number 21 to 22 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
opens AS
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
        toHour(min(window_start))                            AS open_hour_utc
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2022-01-03 00:00:00')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
    GROUP BY session_date
),
shifts AS
(
    SELECT
        session_date,
        open_hour_utc,
        lagInFrame(open_hour_utc) OVER (ORDER BY session_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_open_hour_utc
    FROM opens
)
SELECT
    toString(session_date)                          AS shift_date,
    formatDateTime(session_date, '%b %e, %Y')       AS shift_date_label,
    concat(toString(prev_open_hour_utc + 8), ':30') AS sgt_open_before,
    concat(toString(open_hour_utc + 8), ':30')      AS sgt_open_after,
    toUInt8(open_hour_utc + 8)                      AS sgt_open_hour
FROM shifts
WHERE prev_open_hour_utc > 0
  AND open_hour_utc != prev_open_hour_utc
ORDER BY session_date
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