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?.
| date | day_label | close_usd | volume_millions |
|---|---|---|---|
| 2024-06-03 | Jun 3, 2024 | 1149.99 | 38.4 |
| 2024-06-04 | Jun 4, 2024 | 1164.44 | 35.9 |
| 2024-06-05 | Jun 5, 2024 | 1224.39 | 45.4 |
| 2024-06-06 | Jun 6, 2024 | 1209.42 | 60.3 |
| 2024-06-07 | Jun 7, 2024 | 1208.65 | 36.4 |
| 2024-06-10 | Jun 10, 2024 | 121.65 | 283.3 |
| 2024-06-11 | Jun 11, 2024 | 120.91 | 199.3 |
| 2024-06-12 | Jun 12, 2024 | 125.27 | 258.6 |
| 2024-06-13 | Jun 13, 2024 | 129.37 | 219.5 |
| 2024-06-14 | Jun 14, 2024 | 131.98 | 270.6 |
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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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