How AAPL's prints and volume split by trade size, June 10, 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 2026-08-20, from How Block Trades Print on the Tape.
| 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
- 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 |
|---|---|---|---|
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 , 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
(
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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