weekday_mix
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 2026-10-16, from us-ex-dividend-dates-in-philippine-time.
| label | dividends_counted | share_pct |
|---|---|---|
| Lunes | 13496 | 23.5 |
| Biyernes | 13195 | 23 |
| Martes | 10731 | 18.7 |
| Huwebes | 10070 | 17.6 |
| Miyerkules | 9823 | 17.1 |
- Rows × columns
- 5 × 3
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
label |
text | 5 distinct values (Biyernes, Huwebes, Lunes…) | |
dividends_counted |
number | 9,823 to 13,496 | |
share_pct |
number | 17.1 to 23.5 | 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
(
SELECT uniqExact((ticker, ex_dividend_date))
FROM global_markets.stocks_dividends
WHERE ex_dividend_date >= today() - 365
AND ex_dividend_date < today()
AND cash_amount > 0
AND toDayOfWeek(ex_dividend_date) <= 5
) AS weekday_total
SELECT
arrayElement(['Lunes', 'Martes', 'Miyerkules', 'Huwebes', 'Biyernes'],
toDayOfWeek(ex_dividend_date)) AS label,
uniqExact((ticker, ex_dividend_date)) AS dividends_counted,
round(100 * uniqExact((ticker, ex_dividend_date)) / weekday_total, 1) AS share_pct
FROM global_markets.stocks_dividends
WHERE ex_dividend_date >= today() - 365
AND ex_dividend_date < today()
AND cash_amount > 0
AND toDayOfWeek(ex_dividend_date) <= 5
GROUP BY label
ORDER BY dividends_counted DESC
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.