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The 21 sessions: regular-hours close, close-over-close change, full-day volume

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 NVDA: NVIDIA's Full June 2026, Tick by Tick.

as of series 21×5read in context →
The 21 sessions: regular-hours close, close-over-close change, full-day volume — 21 rows by 5 columns, computed from US exchange, SIP and OPRA data.
et_dateclose_usdchange_pctshares_mdollar_bn
2026-06-01224.43None185.541
2026-06-02222.81-0.7171.238.69
2026-06-03214.9-3.6143.931.16
2026-06-04218.721.8152.733.1
2026-06-05205.11-6.2187.339.09
2026-06-08208.641.7116.424.27
2026-06-09208.2-0.2160.532.98
2026-06-10200.34-3.8140.128.48
2026-06-11204.662.2131.826.71
2026-06-12205.140.298.220.15
2026-06-15212.453.6113.924.03
2026-06-16207.41-2.49720.29
2026-06-17204.68-1.3101.921.04
2026-06-18210.22.7144.230.16
2026-06-22208.56-0.8100.521.13
2026-06-23200.01-4.1115.423.27
2026-06-24198.96-0.5114.122.72
2026-06-25195.75-1.6125.124.46
2026-06-26191.72-2.1116.522.55
2026-06-29194.891.711822.88
2026-06-30199.762.5119.623.73
Rows × columns
21 × 5
Period covered
to
Computed
Completeness
Some fields are partly empty — see the columns below
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 The 21 sessions: regular-hours close, close-over-close change, full-day volume, derived from the stored result.
ColumnTypeRangeNotes
et_date date 2026-06-01 to 2026-06-30
close_usd number 191.72 to 224.43 US dollars
change_pct number -6.2 to 3.6 percent · 20 of 21 rows populated
shares_m number 97 to 187.3 count
dollar_bn number 20.15 to 41

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
    et_date,
    close_usd,
    round(if(prev_close = 0, NULL, (close_usd / prev_close - 1) * 100), 1) AS change_pct,
    shares_m,
    dollar_bn
FROM (
    SELECT et_date, close_usd, shares_m, dollar_bn,
           lagInFrame(close_usd) OVER (ORDER BY et_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
    FROM (
        SELECT
            toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
            round(argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS close_usd,
            round(toFloat64(sum(volume)) / 1e6, 1) AS shares_m,
            round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_bn
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA'
          AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
        GROUP BY et_date
    )
)
ORDER BY et_date

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More from this analysisNVDA: NVIDIA's Full June 2026, Tick by Tick
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