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How AAPL prints break down 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 2026-08-12, from How to Estimate Queue Position From L2 Data.

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How AAPL prints break down by trade size, June 10 2026 — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
trade_size_groupshare_of_prints_pctshare_of_shares_pct
under 100 shares9042.5
exactly 100 shares3.78.4
101 to 499 shares5.824.1
500 to 999 shares0.45
1000 shares or more0.219.9
Rows × columns
5 × 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 How AAPL prints break down by trade size, June 10 2026, derived from the stored result.
ColumnTypeRangeNotes
trade_size_group text 5 distinct values
share_of_prints_pct number 0.2 to 90 percent
share_of_shares_pct number 5 to 42.5 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
    multiIf(size < 100,  'under 100 shares',
            size = 100,  'exactly 100 shares',
            size <= 499, '101 to 499 shares',
            size <= 999, '500 to 999 shares',
                         '1000 shares or more')             AS trade_size_group,
    round(100 * count() / sum(count()) OVER (), 1)          AS share_of_prints_pct,
    round(100 * sum(size) / sum(sum(size)) OVER (), 1)      AS share_of_shares_pct
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= '2026-06-10 14:00:00'
  AND sip_timestamp <  '2026-06-10 20:00:00'
GROUP BY trade_size_group
ORDER BY min(size)

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