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How AAPL volume splits across print sizes, 10:00 a.m. to 3:00 p.m. ET (Sep 16, 2026)

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 2026-10-05, from What Price Does a Market Order Fill At?.

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How AAPL volume splits across print sizes, 10:00 a.m. to 3:00 p.m. ET (Sep 16, 2026) — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
size_bucketprint_countpct_of_volume
up to 10038114846.37
101 to 5002172830.6
501 to 1,00012436.36
1,001 to 5,0006979.29
more than 5,000487.37
Rows × columns
5 × 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 How AAPL volume splits across print sizes, 10:00 a.m. to 3:00 p.m. ET (Sep 16, 2026), derived from the stored result.
ColumnTypeRangeNotes
size_bucket text 5 distinct values (1,001 to 5,000, 101 to 500, 501 to 1,000…)
print_count number 48 to 381,148 count
pct_of_volume number 6.36 to 46.37 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.

WITH window_prints AS
(
    SELECT size
    FROM global_markets.stocks_trades
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= toDateTime('2026-09-16 14:00:00', 'UTC')
      AND sip_timestamp <  toDateTime('2026-09-16 19:00:00', 'UTC')
      AND size > 0
)
SELECT
    multiIf(size <= 100,  'up to 100',
            size <= 500,  '101 to 500',
            size <= 1000, '501 to 1,000',
            size <= 5000, '1,001 to 5,000',
                          'more than 5,000')                            AS size_bucket,
    count()                                                             AS print_count,
    round(100 * sum(size) / (SELECT sum(size) FROM window_prints), 2)   AS pct_of_volume
FROM window_prints
GROUP BY size_bucket
ORDER BY min(size)
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More from this analysisWhat Price Does a Market Order Fill At?
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