STRASMORE/EXPLORE 3,171 QUERIES

dst_2025

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 2026-10-07, from us-stock-market-hours-jakarta-time.

as of series 10×6read in context →
dst_2025 — 10 rows by 6 columns, computed from US exchange, SIP and OPRA data.
session_dateharibuka_wibtutup_wibbuka_etbuka_wib_desimal
2025-10-27Senin20:3003:0009:3020.5
2025-10-28Selasa20:3003:0009:3020.5
2025-10-29Rabu20:3003:0009:3020.5
2025-10-30Kamis20:3003:0009:3020.5
2025-10-31Jumat20:3003:0009:3020.5
2025-11-03Senin21:3004:0009:3021.5
2025-11-04Selasa21:3004:0009:3021.5
2025-11-05Rabu21:3004:0009:3021.5
2025-11-06Kamis21:3004:0009:3021.5
2025-11-07Jumat21:3004:0009:3021.5
Rows × columns
10 × 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 dst_2025, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2025-10-27 to 2025-11-07
hari text 5 distinct values (Jumat, Kamis, Rabu…)
buka_wib text 2 distinct values (20:30, 21:30)
tutup_wib text 2 distinct values (03:00, 04:00)
buka_et text 1 distinct value (09:30)
buka_wib_desimal number 20.5 to 21.5

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 bar AS
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York')) AS sesi,
        window_start
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= '2025-10-27 00:00:00'
      AND window_start <  '2025-11-08 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
)
SELECT
    toString(sesi)                                                                                  AS session_date,
    arrayElement(['Senin', 'Selasa', 'Rabu', 'Kamis', 'Jumat', 'Sabtu', 'Minggu'], toDayOfWeek(sesi)) AS hari,
    formatDateTime(toTimeZone(min(window_start), 'Asia/Jakarta'), '%H:%i')                          AS buka_wib,
    formatDateTime(toTimeZone(max(window_start) + toIntervalMinute(1), 'Asia/Jakarta'), '%H:%i')    AS tutup_wib,
    formatDateTime(toTimeZone(min(window_start), 'America/New_York'), '%H:%i')                      AS buka_et,
    round(toHour(toTimeZone(min(window_start), 'Asia/Jakarta'))
          + toMinute(toTimeZone(min(window_start), 'Asia/Jakarta')) / 60, 2)                        AS buka_wib_desimal
FROM bar
GROUP BY sesi
ORDER BY sesi
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