STRASMORE/EXPLORE 3,022 QUERIES

dst_shift

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 2026-10-04, from us-stock-market-hours-taipei-time.

as of series 13×5read in context →
dst_shift — 13 rows by 5 columns, computed from US exchange, SIP and OPRA data.
monthtaipei_open_first_sessiontaipei_open_last_sessiontaipei_open_minute_firsttaipei_open_minute_last
2025-09-0121:3021:3012901290
2025-10-0121:3021:3012901290
2025-11-0122:3022:3013501350
2025-12-0122:3022:3013501350
2026-01-0122:3022:3013501350
2026-02-0122:3022:3013501350
2026-03-0122:3021:3013501290
2026-04-0121:3021:3012901290
2026-05-0121:3021:3012901290
2026-06-0121:3021:3012901290
2026-07-0121:3021:3012901290
2026-08-0121:3021:3012901290
2026-09-0121:3021:3012901290
Rows × columns
13 × 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, derived from the stored result.
ColumnTypeRangeNotes
month date 2025-09-01 to 2026-09-01
taipei_open_first_session text 2 distinct values (21:30, 22:30)
taipei_open_last_session text 2 distinct values (21:30, 22:30)
taipei_open_minute_first number 1,290 to 1,350 US dollars
taipei_open_minute_last number 1,290 to 1,350 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.

SELECT
    toString(toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York')))) AS month,
    formatDateTime(toTimeZone(min(window_start), 'Asia/Taipei'), '%H:%i')          AS taipei_open_first_session,
    formatDateTime(toTimeZone(max(window_start), 'Asia/Taipei'), '%H:%i')          AS taipei_open_last_session,
    toUInt16(toHour(toTimeZone(min(window_start), 'Asia/Taipei')) * 60
           + toMinute(toTimeZone(min(window_start), 'Asia/Taipei')))               AS taipei_open_minute_first,
    toUInt16(toHour(toTimeZone(max(window_start), 'Asia/Taipei')) * 60
           + toMinute(toTimeZone(max(window_start), 'Asia/Taipei')))               AS taipei_open_minute_last
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
  AND window_start >= toDateTime('2025-09-01 00:00:00', 'UTC')
  AND window_start <  toDateTime('2026-10-01 00:00:00', 'UTC')
  AND toHour(toTimeZone(window_start, 'America/New_York')) = 9
  AND toMinute(toTimeZone(window_start, 'America/New_York')) = 30
GROUP BY month
ORDER BY month
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