How long retired listings had traded before their last session
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 2026-09-27, from What Happens When an ETF Closes.
| age_bucket | listings_retired | share_pct |
|---|---|---|
| under 1 year | 416 | 10.7 |
| 1 to 2 years | 531 | 13.7 |
| 2 to 5 years | 1635 | 42.1 |
| 5 to 10 years | 510 | 13.1 |
| 10 years or more | 793 | 20.4 |
- 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 |
|---|---|---|---|
age_bucket |
text | 5 distinct values | |
listings_retired |
number | 416 to 1,635 | |
share_pct |
number | 10.7 to 42.1 | 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.
SELECT
bucket AS age_bucket,
count() AS listings_retired,
round(100 * count() / sum(count()) OVER (), 1) AS share_pct
FROM
(
SELECT
ticker,
dateDiff('day', min(date), max(date)) / 365.25 AS years_listed,
multiIf(
dateDiff('day', min(date), max(date)) / 365.25 < 1, 'under 1 year',
dateDiff('day', min(date), max(date)) / 365.25 < 2, '1 to 2 years',
dateDiff('day', min(date), max(date)) / 365.25 < 5, '2 to 5 years',
dateDiff('day', min(date), max(date)) / 365.25 < 10, '5 to 10 years',
'10 years or more') AS bucket
FROM global_markets.stocks_daily_aggs
WHERE date >= '2003-01-01'
AND ticker NOT IN ('SPCX')
GROUP BY ticker
HAVING max(date) >= today() - 1130
AND max(date) < today() - 150
)
GROUP BY bucket
ORDER BY min(years_listed)
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