Every AAPL print on June 17, 2026, grouped by trade size
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 2026-08-06, from Iceberg Orders Explained: Hidden Liquidity.
| print_size_bucket | prints | pct_of_prints | pct_of_shares |
|---|---|---|---|
| under 100 | 643334 | 88.99 | 22.84 |
| 100 to 199 | 58692 | 8.12 | 13.02 |
| 200 to 499 | 17145 | 2.37 | 8.77 |
| 500 to 999 | 2567 | 0.36 | 3.11 |
| 1000 to 4999 | 1052 | 0.15 | 3.5 |
| 5000 and up | 144 | 0.02 | 48.77 |
- Rows × columns
- 6 × 4
- 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_bucket |
text | 6 distinct values (100 to 199, 1000 to 4999, 200 to 499…) | |
prints |
number | 144 to 643,334 | |
pct_of_prints |
number | 0.02 to 88.99 | percent |
pct_of_shares |
number | 3.11 to 48.77 | 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 tape AS
(
SELECT size
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= toDateTime('2026-06-17 04:00:00', 'UTC')
AND sip_timestamp < toDateTime('2026-06-18 04:00:00', 'UTC')
)
SELECT
multiIf(size < 100, 'under 100',
size < 200, '100 to 199',
size < 500, '200 to 499',
size < 1000, '500 to 999',
size < 5000, '1000 to 4999',
'5000 and up') AS print_size_bucket,
count() AS prints,
round(100 * count() / sum(count()) OVER (), 2) AS pct_of_prints,
round(100 * sum(size) / sum(sum(size)) OVER (), 2) AS pct_of_shares
FROM tape
GROUP BY print_size_bucket
ORDER BY min(size)
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