STRASMORE/EXPLORE 2,170 QUERIES

New listings landing on a symbol that already had history

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 2026-08-22, from Why Ticker Symbols Break Your Dataset.

as of ranking 11×3read in context →
New listings landing on a symbol that already had history — 11 rows by 3 columns, computed from US exchange, SIP and OPRA data.
listing_yearlistingssymbols_with_earlier_history
201612632
201719448
201821141
201921439
202035064
2021794113
202216130
202316747
202427086
202532754
202620733
Rows × columns
11 × 3
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 New listings landing on a symbol that already had history, derived from the stored result.
ColumnTypeRangeNotes
listing_year text 11 distinct values (2016, 2017, 2018…)
listings number 126 to 794
symbols_with_earlier_history number 30 to 113

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.

the exact SQL behind every number
SELECT
    toString(toYear(i.listing_day))                          AS listing_year,
    count()                                                  AS listings,
    countIf(f.first_print < subtractDays(i.listing_day, 90))  AS symbols_with_earlier_history
FROM
(
    SELECT
        ticker,
        min(toDate(listing_date)) AS listing_day
    FROM global_markets.stocks_ipos
    WHERE listing_date >= '2016-01-01'
      AND listing_date < today()
    GROUP BY ticker
) AS i
INNER JOIN
(
    SELECT
        ticker,
        min(date) AS first_print
    FROM global_markets.stocks_daily_aggs
    GROUP BY ticker
) AS f ON f.ticker = i.ticker
GROUP BY listing_year
ORDER BY listing_year

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