STRASMORE/EXPLORE 2,170 QUERIES

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.

as of ranking 6×4read in context →
Every AAPL print on June 17, 2026, grouped by trade size — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
print_size_bucketprintspct_of_printspct_of_shares
under 10064333488.9922.84
100 to 199586928.1213.02
200 to 499171452.378.77
500 to 99925670.363.11
1000 to 499910520.153.5
5000 and up1440.0248.77
Rows × columns
6 × 4
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 Every AAPL print on June 17, 2026, grouped by trade size, derived from the stored result.
ColumnTypeRangeNotes
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.

the exact SQL behind every number
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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