STRASMORE/EXPLORE 3,293 QUERIES

slad_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 2026-10-16, from us-daylight-saving-switch-polish-time.

as of series 15×5read in context →
slad_2025 — 15 rows by 5 columns, computed from US exchange, SIP and OPRA data.
dateotwarcie_plzamkniecie_plgodzina_otwarciagodzina_zamkniecia
2025-10-2015:3022:0015.522
2025-10-2115:3022:0015.522
2025-10-2215:3022:0015.522
2025-10-2315:3022:0015.522
2025-10-2415:3022:0015.522
2025-10-2714:3021:0014.521
2025-10-2814:3021:0014.521
2025-10-2914:3021:0014.521
2025-10-3014:3021:0014.521
2025-10-3114:3021:0014.521
2025-11-0315:3022:0015.522
2025-11-0415:3022:0015.522
2025-11-0515:3022:0015.522
2025-11-0615:3022:0015.522
2025-11-0715:3022:0015.522
Rows × columns
15 × 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 slad_2025, derived from the stored result.
ColumnTypeRangeNotes
date date 2025-10-20 to 2025-11-07
otwarcie_pl text 2 distinct values (14:30, 15:30)
zamkniecie_pl text 2 distinct values (21:00, 22:00)
godzina_otwarcia number 14.5 to 15.5
godzina_zamkniecia number 21 to 22

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(toDate(toTimeZone(window_start, 'America/New_York')))                     AS date,
    formatDateTime(min(window_start), '%H:%i', 'Europe/Warsaw')                        AS otwarcie_pl,
    formatDateTime(max(window_start) + toIntervalMinute(1), '%H:%i', 'Europe/Warsaw')  AS zamkniecie_pl,
    round(toHour(toTimeZone(min(window_start), 'Europe/Warsaw'))
        + toMinute(toTimeZone(min(window_start), 'Europe/Warsaw')) / 60, 2)            AS godzina_otwarcia,
    round(toHour(toTimeZone(max(window_start) + toIntervalMinute(1), 'Europe/Warsaw'))
        + toMinute(toTimeZone(max(window_start) + toIntervalMinute(1), 'Europe/Warsaw')) / 60, 2) AS godzina_zamkniecia
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
  AND window_start >= '2025-10-20 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
GROUP BY date
ORDER BY date
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.