STRASMORE/EXPLORE 2,170 QUERIES

AAPL trade sizes on the 27 April 2026 session

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 2026-08-22, from Why Odd Lots Don't Set the NBBO.

as of ranking 4×3read in context →
AAPL trade sizes on the 27 April 2026 session — 4 rows by 3 columns, computed from US exchange, SIP and OPRA data.
bucketprint_share_pctvolume_share_pct
Under 100 shares79.6414.5
Exactly 100 shares12.9113.77
101 to 999 shares7.0819.28
1,000 or more0.3752.46
Rows × columns
4 × 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 AAPL trade sizes on the 27 April 2026 session, derived from the stored result.
ColumnTypeRangeNotes
bucket text 4 distinct values
print_share_pct number 0.37 to 79.64 percent
volume_share_pct number 13.77 to 52.46 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
SELECT
    bucket,
    round(100 * prints / sum(prints) OVER (), 2) AS print_share_pct,
    round(100 * shares / sum(shares) OVER (), 2) AS volume_share_pct
FROM
(
    SELECT
        multiIf(size < 100,  'Under 100 shares',
                size = 100,  'Exactly 100 shares',
                size < 1000, '101 to 999 shares',
                             '1,000 or more') AS bucket,
        multiIf(size < 100, 1, size = 100, 2, size < 1000, 3, 4) AS ord,
        count()   AS prints,
        sum(size) AS shares
    FROM global_markets.stocks_trades
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= '2026-04-27 00:00:00'
      AND sip_timestamp <  '2026-04-28 00:00:00'
      AND size > 0
    GROUP BY bucket, ord
)
ORDER BY ord

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