STRASMORE/EXPLORE 3,214 QUERIES

apertura_en_madrid

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 2026-10-08, from us-stock-market-hours-spain-time.

as of table 2×6read in context →
apertura_en_madrid — 2 rows by 6 columns, computed from US exchange, SIP and OPRA data.
apertura_peninsulaapertura_canariasancla_etsesionesprimera_sesionultima_sesion
15:3014:3009:3025403/09/202505/10/2026
14:3013:3009:302027/10/202527/03/2026
Rows × columns
2 × 6
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 apertura_en_madrid, derived from the stored result.
ColumnTypeRangeNotes
apertura_peninsula text 2 distinct values (14:30, 15:30)
apertura_canarias text 2 distinct values (13:30, 14:30)
ancla_et text 1 distinct value (09:30)
sesiones number 20 to 254
primera_sesion text 2 distinct values (03/09/2025, 27/10/2025)
ultima_sesion text 2 distinct values (05/10/2026, 27/03/2026)

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
    apertura_peninsula,
    apertura_canarias,
    '09:30'                                  AS ancla_et,
    count()                                  AS sesiones,
    formatDateTime(min(sesion), '%d/%m/%Y')  AS primera_sesion,
    formatDateTime(max(sesion), '%d/%m/%Y')  AS ultima_sesion
FROM
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York'))                       AS sesion,
        formatDateTime(toTimeZone(min(window_start), 'Europe/Madrid'), '%H:%i')    AS apertura_peninsula,
        formatDateTime(toTimeZone(min(window_start), 'Atlantic/Canary'), '%H:%i')  AS apertura_canarias
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 400
      AND window_start <  today() - 2
      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 sesion
)
GROUP BY apertura_peninsula, apertura_canarias
ORDER BY sesiones DESC
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