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NVDA daily closes from the pre-gap session through mid-June 2023

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's May 2023 Earnings: The AI Gap.

as of series 17×4read in context →
NVDA daily closes from the pre-gap session through mid-June 2023 — 17 rows by 4 columns, computed from US exchange, SIP and OPRA data.
sessionclose_usdchange_pctcum_vs_pregap_pct
2023-05-24305.41-0.50
2023-05-25379.7924.424.4
2023-05-26389.242.527.4
2023-05-30401.133.131.3
2023-05-31378.38-5.723.9
2023-06-01397.745.130.2
2023-06-02393.24-1.128.8
2023-06-05391.74-0.428.3
2023-06-06386.54-1.326.6
2023-06-07374.83-322.7
2023-06-08385.12.726.1
2023-06-09387.640.726.9
2023-06-12394.971.929.3
2023-06-13410.233.934.3
2023-06-14429.984.840.8
2023-06-15426.46-0.839.6
2023-06-16427.020.139.8
Rows × columns
17 × 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 daily closes from the pre-gap session through mid-June 2023, derived from the stored result.
ColumnTypeRangeNotes
session date 2023-05-24 to 2023-06-16
close_usd number 305.41 to 429.98 US dollars
change_pct number -5.7 to 24.4 percent
cum_vs_pregap_pct number 0 to 40.8 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 
WITH
    daily AS (
        SELECT
            toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
            argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) AS rth_close
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA'
          AND window_start >= toDateTime('2023-05-23 00:00:00') AND window_start < toDateTime('2023-06-17 00:00:00')
        GROUP BY et_date
    ),
    (SELECT any(rth_close) FROM daily WHERE et_date = toDate('2023-05-24')) AS pre_gap_close
SELECT
    toString(et_date) AS session,
    round(rth_close, 2) AS close_usd,
    round(if(prev_close = 0, NULL, (rth_close / prev_close - 1) * 100), 1) AS change_pct,
    round((rth_close / pre_gap_close - 1) * 100, 1) AS cum_vs_pregap_pct
FROM (
    SELECT et_date, rth_close,
           lagInFrame(rth_close) OVER (ORDER BY et_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
    FROM daily
)
WHERE et_date >= toDate('2023-05-24')
ORDER BY et_date

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