Levine's three sessions on our tape: day volume, the closing cross, and the cross's share of the day
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 2026-07-09, from SpaceX Joins the Nasdaq-100: The Index-Add Trade.
| session | day_matched_shares_m | auction_shares_m | auction_pct_of_day | official_close | code8_prints | auction_time_et |
|---|---|---|---|---|---|---|
| 2026-07-01 | 112.4 | 5.38 | 4.8 | 157.54 | 1 | 16:00:00 |
| 2026-07-02 | 61.6 | 2.58 | 4.2 | 162 | 1 | 16:00:00 |
| 2026-07-06 | 188.9 | 74.94 | 39.7 | 160.42 | 1 | 16:00:00 |
- Rows × columns
- 3 × 7
- 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 |
|---|---|---|---|
session |
date | 2026-07-01 to 2026-07-06 | |
day_matched_shares_m |
number | 61.6 to 188.9 | count |
auction_shares_m |
number | 2.58 to 74.94 | count |
auction_pct_of_day |
number | 4.2 to 39.7 | percent |
official_close |
number | 157.54 to 162 | US dollars |
code8_prints |
number | every row is 1 | |
auction_time_et |
text | 1 distinct value (16:00:00) |
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
toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS session,
round(toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))) / 1e6, 1) AS day_matched_shares_m,
round(toFloat64(maxIf(size, has(conditions, 8))) / 1e6, 2) AS auction_shares_m,
round(100 * toFloat64(maxIf(size, has(conditions, 8))) / toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))), 1) AS auction_pct_of_day,
round(toFloat64(argMaxIf(price, (size, sip_timestamp), has(conditions, 8))), 2) AS official_close,
countIf(has(conditions, 8)) AS code8_prints,
formatDateTime(toTimeZone(argMaxIf(sip_timestamp, (size, sip_timestamp), has(conditions, 8)), 'America/New_York'), '%H:%i:%S') AS auction_time_et
FROM global_markets.stocks_trades
WHERE ticker = 'SPCX'
AND ((sip_timestamp >= '2026-07-01 00:00:00' AND sip_timestamp < '2026-07-03 00:00:00')
OR (sip_timestamp >= '2026-07-06 00:00:00' AND sip_timestamp < '2026-07-07 00:00:00'))
GROUP BY session
ORDER BY session
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