STRASMORE/EXPLORE 2,830 QUERIES

umbrales

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 2026-09-30, from nke-earnings-day-moves.

as of ranking 6×3read in context →
umbrales — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
buckettrimestresporcentaje_pct
2% o más571
3% o más457
4% o más457
5% o más457
7% o más229
10% o más229
Rows × columns
6 × 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 umbrales, derived from the stored result.
ColumnTypeRangeNotes
bucket text 6 distinct values (10% o más, 2% o más, 3% o más…)
trimestres number 2 to 5
porcentaje_pct number 29 to 71 percent

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
reportes AS
(
    SELECT DISTINCT filing_date AS fecha_reporte
    FROM global_markets.stocks_8k_text
    WHERE ticker = 'NKE'
      AND form_type = '8-K'
      AND positionCaseInsensitive(items_text, 'Results of Operations') > 0
      AND filing_date >= '2021-08-01'
    ORDER BY fecha_reporte DESC
    LIMIT 12
),
barras AS
(
    SELECT
        date,
        toFloat64(close) AS cierre,
        any(toFloat64(close)) OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS cierre_previo
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'NKE'
      AND date >= '2021-01-01'
),
sesiones AS
(
    SELECT
        r.fecha_reporte AS fecha_reporte,
        min(b.date)     AS fecha_sesion
    FROM reportes AS r
    CROSS JOIN barras AS b
    WHERE b.date > r.fecha_reporte
    GROUP BY r.fecha_reporte
),
movs AS
(
    SELECT abs(b.cierre / b.cierre_previo - 1) * 100 AS mov_abs
    FROM sesiones AS s
    INNER JOIN barras AS b ON b.date = s.fecha_sesion
),
escala AS
(
    SELECT arrayJoin([2, 3, 4, 5, 7, 10]) AS umbral
)
SELECT
    concat(toString(u.umbral), '% o más')                      AS bucket,
    countIf(m.mov_abs >= u.umbral)                             AS trimestres,
    round(100.0 * countIf(m.mov_abs >= u.umbral) / count(), 0) AS porcentaje_pct
FROM escala AS u
CROSS JOIN movs AS m
GROUP BY u.umbral
ORDER BY u.umbral
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