Quarter-end (June 30) vs. mid-month (June 16, 2026): the same three closing auctions
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 What Is the Closing Auction? (Closing Cross).
| ticker | jun16_auction_print_count | jun30_auction_print_count | jun16_auction_shares_m | jun30_auction_shares_m | jun30_vs_jun16_x | jun16_auction_pct | jun30_auction_pct |
|---|---|---|---|---|---|---|---|
| SPY | 1 | 1 | 1.84 | 2 | 1.1 | 2.7 | 3.6 |
| AAPL | 1 | 1 | 7.49 | 21.71 | 2.9 | 18.8 | 33.2 |
| NVDA | 1 | 1 | 23.47 | 41.14 | 1.8 | 18.5 | 24.7 |
- Rows × columns
- 3 × 8
- 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 |
|---|---|---|---|
ticker |
text | 3 distinct values (AAPL, NVDA, SPY) | |
jun16_auction_print_count |
number | every row is 1 | count |
jun30_auction_print_count |
number | every row is 1 | count |
jun16_auction_shares_m |
number | 1.84 to 23.47 | count |
jun30_auction_shares_m |
number | 2 to 41.14 | count |
jun30_vs_jun16_x |
number | 1.1 to 2.9 | |
jun16_auction_pct |
number | 2.7 to 18.8 | percent |
jun30_auction_pct |
number | 3.6 to 33.2 | 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
ticker,
countIf(has(conditions, 8) AND sip_timestamp < '2026-06-17 00:00:00') AS jun16_auction_print_count,
countIf(has(conditions, 8) AND sip_timestamp >= '2026-06-30 00:00:00') AS jun30_auction_print_count,
round(toFloat64(maxIf(size, has(conditions, 8) AND sip_timestamp < '2026-06-17 00:00:00')) / 1e6, 2) AS jun16_auction_shares_m,
round(toFloat64(maxIf(size, has(conditions, 8) AND sip_timestamp >= '2026-06-30 00:00:00')) / 1e6, 2) AS jun30_auction_shares_m,
round(toFloat64(maxIf(size, has(conditions, 8) AND sip_timestamp >= '2026-06-30 00:00:00')) / toFloat64(maxIf(size, has(conditions, 8) AND sip_timestamp < '2026-06-17 00:00:00')), 1) AS jun30_vs_jun16_x,
round(100 * toFloat64(maxIf(size, has(conditions, 8) AND sip_timestamp < '2026-06-17 00:00:00')) / toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]) AND sip_timestamp < '2026-06-17 00:00:00')), 1) AS jun16_auction_pct,
round(100 * toFloat64(maxIf(size, has(conditions, 8) AND sip_timestamp >= '2026-06-30 00:00:00')) / toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]) AND sip_timestamp >= '2026-06-30 00:00:00')), 1) AS jun30_auction_pct
FROM global_markets.stocks_trades
WHERE ticker IN ('SPY', 'AAPL', 'NVDA')
AND ((sip_timestamp >= '2026-06-16 00:00:00' AND sip_timestamp < '2026-06-17 00:00:00')
OR (sip_timestamp >= '2026-06-30 00:00:00' AND sip_timestamp < '2026-07-01 00:00:00'))
GROUP BY ticker
ORDER BY indexOf(['SPY', 'AAPL', 'NVDA'], ticker)
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.