jours_bourse

Name: jours_bourse
Creator: Strasmore
Published: 2026-10-07
License: https://www.strasmore.com/terms/

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 2026-10-07, from days-from-ex-date-to-dividend-payment.

as of 2026-10-07 ranking 12×4read in context →

jours_bourse — 12 rows by 4 columns, computed 2026-10-07 from US exchange, SIP and OPRA data.
ticker	events_count	jours_calendaires_moy	jours_bourse_moy
ABBV	20	32	22
PEP	20	28	19
XOM	20	27	18
PG	20	26	18
MSFT	20	24	16
CVX	20	23	16
CSCO	20	21	14
KO	20	17	12
JNJ	20	15	10
MCD	20	15	10
HD	20	14	10
AAPL	20	5	4

Rows × columns: 12 × 4
Computed: 2026-10-07
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 jours_bourse, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	12 distinct values (AAPL, ABBV, CSCO…)
`events_count`	number	every row is 20	count
`jours_calendaires_moy`	number	5 to 32
`jours_bourse_moy`	number	4 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 2026-10-07, 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
    (
        SELECT groupArray(seance)
        FROM
        (
            SELECT DISTINCT date AS seance
            FROM global_markets.stocks_daily_aggs
            WHERE ticker = 'SPY'
              AND date >= '2021-09-01'
              AND date <= today()
        )
    ) AS seances
SELECT
    ticker,
    count()                                                                   AS events_count,
    toUInt16(round(avg(dateDiff('day', ex_date, pay_date))))                  AS jours_calendaires_moy,
    toUInt16(round(avg(arrayCount(d -> (d > ex_date) AND (d <= pay_date),
                                  seances))))                                 AS jours_bourse_moy
FROM
(
    SELECT
        ticker,
        ex_dividend_date AS ex_date,
        pay_date
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'PG', 'JNJ', 'XOM',
                     'CVX', 'PEP', 'ABBV', 'CSCO', 'MCD', 'HD')
      AND ex_dividend_date >= '2021-10-01'
      AND pay_date > ex_dividend_date
      AND pay_date < today()
      AND cash_amount > 0
    GROUP BY ticker, ex_dividend_date, pay_date
)
GROUP BY ticker
ORDER BY jours_calendaires_moy DESC, ticker ASC

SQL to run

WITH
    (
        SELECT groupArray(seance)
        FROM
        (
            SELECT DISTINCT date AS seance
            FROM global_markets.stocks_daily_aggs
            WHERE ticker = 'SPY'
              AND date >= '2021-09-01'
              AND date <= today()
        )
    ) AS seances
SELECT
    ticker,
    count()                                                                   AS events_count,
    toUInt16(round(avg(dateDiff('day', ex_date, pay_date))))                  AS jours_calendaires_moy,
    toUInt16(round(avg(arrayCount(d -> (d > ex_date) AND (d <= pay_date),
                                  seances))))                                 AS jours_bourse_moy
FROM
(
    SELECT
        ticker,
        ex_dividend_date AS ex_date,
        pay_date
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'PG', 'JNJ', 'XOM',
                     'CVX', 'PEP', 'ABBV', 'CSCO', 'MCD', 'HD')
      AND ex_dividend_date >= '2021-10-01'
      AND pay_date > ex_dividend_date
      AND pay_date < today()
      AND cash_amount > 0
    GROUP BY ticker, ex_dividend_date, pay_date
)
GROUP BY ticker
ORDER BY jours_calendaires_moy DESC, ticker ASC

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