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Every AAPL print on September 15, 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 2026-11-07, from Stock Splits in Japan and the 100-Share Unit.

as of ranking 5×3read in context →
Every AAPL print on September 15, 2026, grouped by trade size — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
trade_bandtrade_countpct_of_trades
2 to 99 shares57763283.9
a single share651569.5
exactly 100 shares156802.3
101 to 999 shares285634.1
1,000 or more13350.2
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 Every AAPL print on September 15, 2026, grouped by trade size, derived from the stored result.
ColumnTypeRangeNotes
trade_band text 5 distinct values
trade_count number 1,335 to 577,632 count
pct_of_trades number 0.2 to 83.9 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 day_tape AS
(
    SELECT size
    FROM global_markets.stocks_trades
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= toDateTime('2026-09-15 00:00:00', 'UTC')
      AND sip_timestamp <  toDateTime('2026-09-16 00:00:00', 'UTC')
)
SELECT
    multiIf(size = 1,    'a single share',
            size < 100,  '2 to 99 shares',
            size = 100,  'exactly 100 shares',
            size < 1000, '101 to 999 shares',
                         '1,000 or more')                  AS trade_band,
    count()                                                 AS trade_count,
    round(100 * count() / (SELECT count() FROM day_tape), 1) AS pct_of_trades
FROM day_tape
GROUP BY trade_band
ORDER BY min(size)
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