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Apple's daily closes around the most recent split, split-adjusted

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 2026-08-24, from Apple Stock Split History and Ratios.

as of series 10×4read in context →
Apple's daily closes around the most recent split, split-adjusted — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
session_dateprinted_onclose_split_adjustedvolume_millions
2020-08-24Aug 24, 2020125.86345.9
2020-08-25Aug 25, 2020124.82211.2
2020-08-26Aug 26, 2020126.52162.5
2020-08-27Aug 27, 2020125.01155.5
2020-08-28Aug 28, 2020124.81187.5
2020-08-31Aug 31, 2020129.04225.6
2020-09-01Sep 1, 2020134.18152.1
2020-09-02Sep 2, 2020131.4200.1
2020-09-03Sep 3, 2020120.88257.6
2020-09-04Sep 4, 2020120.96332.5
Rows × columns
10 × 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 Apple's daily closes around the most recent split, split-adjusted, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2020-08-24 to 2020-09-04
printed_on text 10 distinct values (Aug 24, 2020, Aug 25, 2020, Aug 26, 2020…)
close_split_adjusted number 120.88 to 134.18 US dollars
volume_millions number 152.1 to 345.9 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, %Y')         AS printed_on,
    round(toFloat64(any(close)), 2)           AS close_split_adjusted,
    round(toFloat64(any(volume)) / 1e6, 1)    AS volume_millions
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
  AND date >= '2020-08-24'
  AND date <= '2020-09-04'
GROUP BY date
ORDER BY date

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