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NVDA around its 10-for-1 split: regular-session close and volume, June 3 to June 14, 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 2026-08-05, from When Does a Stock Split Take Effect?.

as of series 10×4read in context →
NVDA around its 10-for-1 split: regular-session close and volume, June 3 to June 14, 2024 — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
dateday_labelclose_usdvolume_millions
2024-06-03Jun 3, 20241149.9938.4
2024-06-04Jun 4, 20241164.4435.9
2024-06-05Jun 5, 20241224.3945.4
2024-06-06Jun 6, 20241209.4260.3
2024-06-07Jun 7, 20241208.6536.4
2024-06-10Jun 10, 2024121.65283.3
2024-06-11Jun 11, 2024120.91199.3
2024-06-12Jun 12, 2024125.27258.6
2024-06-13Jun 13, 2024129.37219.5
2024-06-14Jun 14, 2024131.98270.6
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 NVDA around its 10-for-1 split: regular-session close and volume, June 3 to June 14, 2024, derived from the stored result.
ColumnTypeRangeNotes
date date 2024-06-03 to 2024-06-14
day_label text 10 distinct values (Jun 10, 2024, Jun 11, 2024, Jun 12, 2024…)
close_usd number 120.91 to 1,224.39 US dollars
volume_millions number 35.9 to 283.3 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 toDate(toTimeZone(window_start, 'America/New_York')) AS date,
       formatDateTime(toDate(toTimeZone(window_start, 'America/New_York')), '%b %e, %Y') AS day_label,
       round(toFloat64(argMax(close, window_start)), 2) AS close_usd,
       round(toFloat64(sum(volume)) / 1e6, 1) AS volume_millions
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
  AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2024-06-03')
  AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2024-06-14')
  AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
       + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY date, day_label
ORDER BY date

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