turnover_tiers
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 2026-10-03, from does-ipo-gmp-predict-listing-gains.
| day1_turnover_tier | listings | median_offer_to_open_pct | p10_to_p90_spread |
|---|---|---|---|
| under $5M traded | 178 | 12.1 | 61672.8 |
| $5M to $50M | 652 | 1.2 | 1917.8 |
| $50M to $500M | 894 | 3.8 | 64.1 |
| $500M and up | 152 | 32.8 | 103.9 |
- Rows × columns
- 4 × 4
- 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 |
|---|---|---|---|
day1_turnover_tier |
text | 4 distinct values ($500M and up, $50M to $500M, $5M to $50M…) | |
listings |
number | 152 to 894 | |
median_offer_to_open_pct |
number | 1.2 to 32.8 | percent |
p10_to_p90_spread |
number | 64.1 to 61,672.8 |
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 day_one AS
(
SELECT
i.ticker AS ticker,
i.list_date AS list_date,
(toFloat64(d.open_px) / i.offer_price - 1) * 100 AS offer_to_open,
toFloat64(d.open_px) * toFloat64(d.day_volume) AS day1_turnover
FROM
(
SELECT
ticker,
toDate(argMax(listing_date, last_updated)) AS list_date,
argMax(toFloat64(final_issue_price), last_updated) AS offer_price
FROM global_markets.stocks_ipos
WHERE listing_date >= '2017-01-01'
AND listing_date < '2026-09-01'
AND final_issue_price > 0
AND currency_code = 'USD'
AND ticker NOT IN ('SPCX')
GROUP BY ticker
) AS i
INNER JOIN
(
SELECT
ticker,
date,
max(open) AS open_px,
max(volume) AS day_volume
FROM global_markets.stocks_daily_aggs
WHERE date >= '2017-01-01'
AND date < '2026-09-01'
GROUP BY ticker, date
) AS d
ON d.ticker = i.ticker AND d.date = i.list_date
WHERE d.day_volume > 0
AND d.open_px > 0
AND i.offer_price > 0
)
SELECT
multiIf(day1_turnover < 5000000, 'under $5M traded',
day1_turnover < 50000000, '$5M to $50M',
day1_turnover < 500000000, '$50M to $500M',
'$500M and up') AS day1_turnover_tier,
count() AS listings,
round(quantileDeterministic(0.5)(offer_to_open, cityHash64(ticker)), 1) AS median_offer_to_open_pct,
round(quantileDeterministic(0.9)(offer_to_open, cityHash64(ticker))
- quantileDeterministic(0.1)(offer_to_open, cityHash64(ticker)), 1) AS p10_to_p90_spread
FROM day_one
GROUP BY day1_turnover_tier
ORDER BY min(day1_turnover)
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