STRASMORE/EXPLORE 3,214 QUERIES

AAPL across its 2020 four for one split: split-adjusted closes and volume

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 2026-10-08, from Buying Before or After a Stock Split.

as of series 10×4read in context →
AAPL across its 2020 four for one split: split-adjusted closes and volume — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
session_datesession_labelclosevolume_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 AAPL across its 2020 four for one split: split-adjusted closes and volume, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2020-08-24 to 2020-09-04
session_label text 10 distinct values (Aug 24, 2020, Aug 25, 2020, Aug 26, 2020…)
close 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.

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.

SELECT
    toString(date)                        AS session_date,
    formatDateTime(date, '%b %e, %Y')     AS session_label,
    round(toFloat64(any(close)), 2)       AS close,
    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
⌘/Ctrl + Enter

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