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NVDA trading volume, 20 sessions before vs 20 sessions from its 10-for-1 split (June 10, 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 2026-07-26, from What Is a Stock Split? Ratios and Mechanics.

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NVDA trading volume, 20 sessions before vs 20 sessions from its 10-for-1 split (June 10, 2024) — 2 rows by 4 columns, computed from US exchange, SIP and OPRA data.
phasesessionsavg_daily_shares_millionsavg_daily_dollars_billions
Last 20 sessions before the split2044.146.9
First 20 sessions from the split20292.437.1
Rows × columns
2 × 4
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 NVDA trading volume, 20 sessions before vs 20 sessions from its 10-for-1 split (June 10, 2024), derived from the stored result.
ColumnTypeRangeNotes
phase text 2 distinct values
sessions number every row is 20
avg_daily_shares_millions number 44.1 to 292.4 count
avg_daily_dollars_billions number 37.1 to 46.9

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 daily AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(volume)) AS shares,
           sum(toFloat64(close) * toFloat64(volume)) AS dollars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'NVDA'
      AND window_start >= '2024-05-08 00:00:00' AND window_start < '2024-07-12 00:00:00'
    GROUP BY d
),
ranked AS (
    SELECT d, shares, dollars,
           d >= toDate('2024-06-10') AS post,
           row_number() OVER (PARTITION BY d >= toDate('2024-06-10')
                              ORDER BY if(d < toDate('2024-06-10'), -toUInt32(d), toUInt32(d))) AS rn
    FROM daily
)
SELECT if(post = 0, 'Last 20 sessions before the split', 'First 20 sessions from the split') AS phase,
       count() AS sessions,
       round(avg(shares) / 1e6, 1) AS avg_daily_shares_millions,
       round(avg(dollars) / 1e9, 1) AS avg_daily_dollars_billions
FROM ranked
WHERE rn <= 20
GROUP BY phase, post
ORDER BY post

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