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Dollar volume and daily range across a large forward split (NVDA, 2024)

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 series 19×4read in context →
Dollar volume and daily range across a large forward split (NVDA, 2024) — 19 rows by 4 columns, computed from US exchange, SIP and OPRA data.
session_datesession_labelturnover_billionsrange_pct
2024-05-28May 2874.34.44
2024-05-29May 2963.974
2024-05-30May 3053.45.57
2024-05-31May 3166.955.27
2024-06-03Jun 350.412.61
2024-06-04Jun 446.852.19
2024-06-05Jun 564.74.07
2024-06-06Jun 680.286.01
2024-06-07Jun 749.843.04
2024-06-10Jun 1038.2664.82
2024-06-11Jun 1126.913.42
2024-06-12Jun 1237.513.44
2024-06-13Jun 1333.782.04
2024-06-14Jun 1440.793.43
2024-06-17Jun 1737.793.17
2024-06-18Jun 1839.914.16
2024-06-20Jun 2067.678.59
2024-06-21Jun 2182.965
2024-06-24Jun 2456.115.44
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 Dollar volume and daily range across a large forward split (NVDA, 2024), derived from the stored result.
ColumnTypeRangeNotes
session_date date 2024-05-28 to 2024-06-24
session_label text 19 distinct values (Jun 10, Jun 11, Jun 12…)
turnover_billions number 26.91 to 82.96
range_pct number 2.04 to 64.82 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.

the exact SQL behind every number
SELECT
    toString(date)                                                  AS session_date,
    formatDateTime(date, '%b %e')                                   AS session_label,
    round(toFloat64(any(close)) * toFloat64(any(volume)) / 1e9, 2)  AS turnover_billions,
    round(100 * (toFloat64(any(high)) - toFloat64(any(low)))
        / toFloat64(any(close)), 2)                                 AS range_pct
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'NVDA'
  AND date >= '2024-05-28'
  AND date <= '2024-06-24'
GROUP BY date
ORDER BY date

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