Debut-day anatomy: the 11:34 IPO cross, day volume, venue split, and the closing cross
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 2026-07-26, from SK Hynix's Nasdaq Debut, Measured.
- Rows × columns
- 1 × 7
- 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 |
|---|---|---|---|
first_print_et |
text | 1 distinct value (11:34:47) | |
first_print_px |
number | every row is 170 | |
matched_shares_m |
number | every row is 107.7 | count |
closing_cross_shares_m |
number | every row is 0.82 | count |
official_close |
number | every row is 168.01 | US dollars |
cross_pct_of_day |
number | every row is 0.8 | percent |
off_exchange_pct |
number | every row is 33 | 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
formatDateTime(toTimeZone(min(sip_timestamp), 'America/New_York'), '%H:%i:%S') AS first_print_et,
round(toFloat64(argMin(price, sip_timestamp)), 2) AS first_print_px,
round(toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))) / 1e6, 1) AS matched_shares_m,
round(toFloat64(maxIf(size, has(conditions, 8))) / 1e6, 2) AS closing_cross_shares_m,
round(toFloat64(argMaxIf(price, (size, sip_timestamp), has(conditions, 8))), 2) AS official_close,
round(100 * toFloat64(maxIf(size, has(conditions, 8))) / toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))), 1) AS cross_pct_of_day,
round(100 * toFloat64(sumIf(size, exchange = 4 AND NOT hasAny(conditions, [15, 16, 38]))) / toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))), 1) AS off_exchange_pct
FROM global_markets.stocks_trades
WHERE ticker = 'SKHYV'
AND sip_timestamp >= '2026-07-10 00:00:00' AND sip_timestamp < '2026-07-11 00:00:00'
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.