qqq_cadence
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 2026-11-01, from qqq-dividend.
| label | distributions | first_seen | last_seen |
|---|---|---|---|
| 3월 | 11 | 2016-03-18 | 2026-03-23 |
| 6월 | 11 | 2016-06-17 | 2026-06-22 |
| 9월 | 11 | 2016-09-16 | 2026-09-21 |
| 12월 | 11 | 2016-12-16 | 2025-12-22 |
- Rows × columns
- 4 × 4
- Period covered
- to
- 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 | 4 distinct values (12월, 3월, 6월…) | |
distributions |
number | every row is 11 | |
first_seen |
date | 2016-03-18 to 2016-12-16 | |
last_seen |
date | 2025-12-22 to 2026-09-21 |
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.
SELECT
concat(toString(m), '월') AS label,
count() AS distributions,
toString(min(d)) AS first_seen,
toString(max(d)) AS last_seen
FROM
(
SELECT
ex_dividend_date AS d,
toMonth(ex_dividend_date) AS m
FROM global_markets.stocks_dividends
WHERE ticker = 'QQQ'
AND ex_dividend_date >= '2016-01-01'
AND ex_dividend_date <= today()
GROUP BY d, m
)
GROUP BY m
ORDER BY distributions DESC, m
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