STRASMORE/EXPLORE 2,500 QUERIES

brecha

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 2026-09-23, from nke-stock-price-in-euros.

as of ranking 3×4read in context →
brecha — 3 rows by 4 columns, computed from US exchange, SIP and OPRA data.
medidavariacion_en_dolaresvariacion_en_eurosbrecha_en_puntos
Del maximo al minimo-80-79.90.1
Del maximo al ultimo cierre-79.6-79.40.2
Ultimos doce meses-49.1-47.21.9
Rows × columns
3 × 4
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 brecha, derived from the stored result.
ColumnTypeRangeNotes
medida text 3 distinct values
variacion_en_dolares number -80 to -49.1
variacion_en_euros number -79.9 to -47.2
brecha_en_puntos number 0.1 to 1.9

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 nke AS
(
    SELECT
        date,
        argMax(toFloat64(close), _ingest_time) AS px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'NKE'
      AND date >= '2021-01-01'
    GROUP BY date
),
euro AS
(
    SELECT
        date,
        argMax(toFloat64(close), _ingest_time) AS px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'FXE'
      AND date >= '2021-01-01'
    GROUP BY date
),
diario AS
(
    SELECT
        n.date       AS date,
        n.px         AS usd,
        n.px / e.px  AS eur
    FROM nke AS n
    INNER JOIN euro AS e ON e.date = n.date
),
extremos AS
(
    SELECT
        argMax(date, usd)                          AS fecha_pico_usd,
        max(usd)                                   AS pico_usd,
        argMax(date, eur)                          AS fecha_pico_eur,
        max(eur)                                   AS pico_eur,
        argMax(usd, date)                          AS ultimo_usd,
        argMax(eur, date)                          AS ultimo_eur,
        argMinIf(usd, date, date >= today() - 365) AS hace12m_usd,
        argMinIf(eur, date, date >= today() - 365) AS hace12m_eur
    FROM diario
),
valles AS
(
    SELECT
        minIf(d.usd, d.date >= x.fecha_pico_usd) AS valle_usd,
        minIf(d.eur, d.date >= x.fecha_pico_eur) AS valle_eur
    FROM diario AS d
    CROSS JOIN extremos AS x
)
SELECT
    t.1                                        AS medida,
    round(t.2, 1)                              AS variacion_en_dolares,
    round(t.3, 1)                              AS variacion_en_euros,
    round(round(t.3, 1) - round(t.2, 1), 1)    AS brecha_en_puntos
FROM
(
    SELECT arrayJoin([
        ('Del maximo al minimo',        (v.valle_usd  / x.pico_usd    - 1) * 100, (v.valle_eur  / x.pico_eur    - 1) * 100),
        ('Del maximo al ultimo cierre', (x.ultimo_usd / x.pico_usd    - 1) * 100, (x.ultimo_eur / x.pico_eur    - 1) * 100),
        ('Ultimos doce meses',          (x.ultimo_usd / x.hace12m_usd - 1) * 100, (x.ultimo_eur / x.hace12m_eur - 1) * 100)
    ]) AS t
    FROM extremos AS x
    CROSS JOIN valles AS v
)
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