STRASMORE/EXPLORE 3,214 QUERIES

festivos_es

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 ranking 8×3read in context →
festivos_es — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
jornadafechavolumen_spy_millones
Thanksgiving27/11/20250
Viernes de media sesión28/11/202549.2
Año Nuevo01/01/20260
Reyes06/01/202669.3
Viernes Santo03/04/20260
1 de mayo01/05/202643
Juneteenth19/06/20260
Víspera del 4 de julio03/07/20260
Rows × columns
8 × 3
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 festivos_es, derived from the stored result.
ColumnTypeRangeNotes
jornada text 8 distinct values (1 de mayo, Año Nuevo, Juneteenth…)
fecha text 8 distinct values (01/01/2026, 01/05/2026, 03/04/2026…)
volumen_spy_millones number 0 to 69.3

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
    cal.jornada                                        AS jornada,
    formatDateTime(cal.dia, '%d/%m/%Y')                AS fecha,
    round(toFloat64(spy.acciones) / 1e6, 1)            AS volumen_spy_millones
FROM
(
    SELECT
        tupleElement(par, 1)         AS jornada,
        toDate(tupleElement(par, 2)) AS dia
    FROM
    (
        SELECT arrayJoin([
            ('Thanksgiving',                '2025-11-27'),
            ('Viernes de media sesión',     '2025-11-28'),
            ('Año Nuevo',                   '2026-01-01'),
            ('Reyes',                       '2026-01-06'),
            ('Viernes Santo',               '2026-04-03'),
            ('1 de mayo',                   '2026-05-01'),
            ('Juneteenth',                  '2026-06-19'),
            ('Víspera del 4 de julio',      '2026-07-03')
        ]) AS par
    )
) AS cal
LEFT JOIN
(
    SELECT
        date        AS dia,
        sum(volume) AS acciones
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date IN ('2025-11-27', '2025-11-28', '2026-01-01', '2026-01-06',
                   '2026-04-03', '2026-05-01', '2026-06-19', '2026-07-03')
    GROUP BY dia
) AS spy ON spy.dia = cal.dia
ORDER BY cal.dia
⌘/Ctrl + Enter

Trabaja con estos datos en tu asistente de IA

Se abre listo para consultar, con los datos de esta página. Gratis, sin cuenta.

Claude ChatGPT Gemini Muse Tu propio agente