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Is the price file already adjusted? The pre and post close quotient

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 2026-08-22, from How split-adjusted price history works.

as of ranking 10×3read in context →
Is the price file already adjusted? The pre and post close quotient — 10 rows by 3 columns, computed from US exchange, SIP and OPRA data.
split_eventsplit_nclose_ratio
SHOP Jun 2022101.06
GOOGL Jul 2022201.025
NVDA Jul 202141.009
TSLA Aug 202231.003
CMG Jun 2024500.997
NVDA Jun 2024100.993
WMT Feb 202430.982
AMZN Jun 2022200.98
AAPL Aug 202040.967
TSLA Aug 202050.888
Rows × columns
10 × 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 Is the price file already adjusted? The pre and post close quotient, derived from the stored result.
ColumnTypeRangeNotes
split_event text 10 distinct values
split_n number 3 to 50 count
close_ratio number 0.888 to 1.06 US dollars

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
WITH
sp AS (
    SELECT
        ticker,
        execution_date,
        toFloat64(any(split_to)) / toFloat64(any(split_from)) AS n
    FROM global_markets.stocks_splits
    WHERE execution_date >= '2020-01-01'
      AND execution_date < today() - 20
      AND split_to >= split_from * 3
      AND ticker IN ('AAPL', 'AMZN', 'CMG', 'GOOGL', 'NVDA', 'SHOP', 'TSLA', 'WMT')
    GROUP BY ticker, execution_date
),
px AS (
    SELECT
        ticker,
        date,
        toFloat64(any(close)) AS c
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'AMZN', 'CMG', 'GOOGL', 'NVDA', 'SHOP', 'TSLA', 'WMT')
      AND date >= '2019-12-01'
      AND date < today()
    GROUP BY ticker, date
)
SELECT
    concat(sp.ticker, ' ', formatDateTime(sp.execution_date, '%b %Y'))  AS split_event,
    round(any(sp.n), 2)                                                 AS split_n,
    round(argMaxIf(px.c, px.date, px.date <  sp.execution_date)
        / argMinIf(px.c, px.date, px.date >= sp.execution_date), 3)     AS close_ratio
FROM sp
INNER JOIN px ON px.ticker = sp.ticker
WHERE px.date >= sp.execution_date - 15
  AND px.date <= sp.execution_date + 15
GROUP BY sp.ticker, sp.execution_date
HAVING countIf(px.date <  sp.execution_date) > 0
   AND countIf(px.date >= sp.execution_date) > 0
ORDER BY close_ratio DESC, split_event

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