How AAPL's prints and volume split by trade size, June 10, 2026

Name: How AAPL's prints and volume split by trade size, June 10, 2026
Creator: Strasmore
Published: 2026-08-20
License: https://www.strasmore.com/terms/

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 2026-08-20, from How Block Trades Print on the Tape.

as of 2026-08-20 ranking 5×3read in context →

How AAPL's prints and volume split by trade size, June 10, 2026 — 5 rows by 3 columns, computed 2026-08-20 from US exchange, SIP and OPRA data.
print_size	prints_pct	volume_pct
under 100	90.06	30.53
100 to 999	9.76	27.43
1,000 to 4,999	0.17	4.7
5,000 to 9,999	0.01	1.07
10,000 and up	0.01	36.27

Rows × columns: 5 × 3
Computed: 2026-08-20
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's prints and volume split by trade size, June 10, 2026, derived from the stored result.
Column	Type	Range	Notes
`print_size`	text	5 distinct values
`prints_pct`	number	0.01 to 90.06	percent
`volume_pct`	number	1.07 to 36.27	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 2026-08-20, and the query below is what returned them.

the exact SQL behind every number

WITH
    (
        SELECT count()
        FROM global_markets.stocks_trades
        WHERE ticker = 'AAPL'
          AND sip_timestamp >= toDateTime('2026-06-10 00:00:00', 'UTC')
          AND sip_timestamp <  toDateTime('2026-06-11 00:00:00', 'UTC')
    ) AS day_prints,
    (
        SELECT sum(size)
        FROM global_markets.stocks_trades
        WHERE ticker = 'AAPL'
          AND sip_timestamp >= toDateTime('2026-06-10 00:00:00', 'UTC')
          AND sip_timestamp <  toDateTime('2026-06-11 00:00:00', 'UTC')
    ) AS day_shares
SELECT
    multiIf(size < 100,   'under 100',
            size < 1000,  '100 to 999',
            size < 5000,  '1,000 to 4,999',
            size < 10000, '5,000 to 9,999',
                          '10,000 and up')                        AS print_size,
    round(100 * toFloat64(count()) / toFloat64(day_prints), 2)    AS prints_pct,
    round(100 * toFloat64(sum(size)) / toFloat64(day_shares), 2)  AS volume_pct
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= toDateTime('2026-06-10 00:00:00', 'UTC')
  AND sip_timestamp <  toDateTime('2026-06-11 00:00:00', 'UTC')
GROUP BY print_size
ORDER BY min(size)

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