STRASMORE/EXPLORE 2,170 QUERIES

AAPL average print size across the February 2026 boundary

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 Fractional Shares Hit the Tape.

as of series 19×4read in context →
AAPL average print size across the February 2026 boundary — 19 rows by 4 columns, computed from US exchange, SIP and OPRA data.
session_datesession_labelshares_per_printvolume_millions
2026-02-09Feb 961.344.6
2026-02-10Feb 1066.634.4
2026-02-11Feb 1165.851.9
2026-02-12Feb 1278.481.1
2026-02-13Feb 1373.256.3
2026-02-17Feb 1774.858.5
2026-02-18Feb 1862.534.2
2026-02-19Feb 1960.530.8
2026-02-20Feb 2066.642.1
2026-02-23Feb 2355.937.3
2026-02-24Feb 2472.247
2026-02-25Feb 2557.733.7
2026-02-26Feb 2653.332.3
2026-02-27Feb 2794.272.4
2026-03-02Mar 259.341.8
2026-03-03Mar 361.538.6
2026-03-04Mar 462.439.8
2026-03-05Mar 565.549.7
2026-03-06Mar 666.241.1
Rows × columns
19 × 4
Period covered
to
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 average print size across the February 2026 boundary, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2026-02-09 to 2026-03-06
session_label text 19 distinct values (Feb 10, Feb 11, Feb 12…)
shares_per_print number 53.3 to 94.2 count
volume_millions number 30.8 to 81.1 count

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
    toString(date)                                        AS session_date,
    formatDateTime(date, '%b %e')                         AS session_label,
    round(sum(toFloat64(volume)) / sum(transactions), 1)  AS shares_per_print,
    round(sum(toFloat64(volume)) / 1000000, 1)            AS volume_millions
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
  AND date >= '2026-02-09'
  AND date <= '2026-03-06'
GROUP BY date
HAVING sum(transactions) > 0
ORDER BY date

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More from this analysisHow Fractional Shares Hit the Tape
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