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Average distribution against the average ex-date price move

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 2026-11-07, from Weekly Dividend ETFs: How the Payouts Work.

as of ranking 10×4read in context →
Average distribution against the average ex-date price move — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerex_datesavg_distributionavg_overnight_move
AMDW520.9152-0.4111
ARMW520.6293-0.3827
AMDY520.5673-0.684
CHPY520.5311-0.411
GDXW520.4946-0.2529
HOOY520.475-0.909
GOOW520.4587-0.0764
PLTY520.4555-0.7513
WNTR520.4515-0.2867
HOOW520.4213-0.279
Rows × columns
10 × 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 Average distribution against the average ex-date price move, derived from the stored result.
ColumnTypeRangeNotes
ticker text 10 distinct values (AMDW, AMDY, ARMW…)
ex_dates number every row is 52
avg_distribution number 0.4213 to 0.9152
avg_overnight_move number -0.909 to -0.0764

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
    weekly AS
    (
        SELECT ticker
        FROM global_markets.stocks_dividends
        WHERE ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
          AND ticker NOT IN ('SPCX')
        GROUP BY ticker
        HAVING countDistinct(ex_dividend_date) >= 40
    ),
    payments AS
    (
        SELECT
            ticker,
            ex_dividend_date  AS ex_date,
            max(cash_amount)  AS amount
        FROM global_markets.stocks_dividends
        WHERE ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
          AND ticker IN (SELECT ticker FROM weekly)
        GROUP BY ticker, ex_date
    ),
    px AS
    (
        SELECT
            ticker,
            date,
            toFloat64(any(close)) AS close
        FROM global_markets.stocks_daily_aggs
        WHERE date >= today() - 400
          AND ticker IN (SELECT ticker FROM weekly)
        GROUP BY ticker, date
    )
SELECT
    ticker,
    count()                                AS ex_dates,
    round(avg(amount), 4)                  AS avg_distribution,
    round(avg(ex_close - prior_close), 4)  AS avg_overnight_move
FROM
(
    SELECT
        d.ticker                   AS ticker,
        d.ex_date                  AS ex_date,
        toFloat64(any(d.amount))   AS amount,
        any(pe.close)              AS ex_close,
        argMax(pp.close, pp.date)  AS prior_close
    FROM payments AS d
    INNER JOIN px AS pe ON pe.ticker = d.ticker AND pe.date = d.ex_date
    INNER JOIN px AS pp ON pp.ticker = d.ticker
    WHERE pp.date <  d.ex_date
      AND pp.date >= d.ex_date - 7
    GROUP BY d.ticker, d.ex_date
)
GROUP BY ticker
ORDER BY avg_distribution DESC
LIMIT 10
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