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May 25, 2023, close to close: the semiconductor complex around NVDA's gap

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 ranking 9×4read in context →
May 25, 2023, close to close: the semiconductor complex around NVDA's gap — 9 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickermay24_closemay25_closeday_change_pct
NVDA305.41379.7924.4
TSM90.14100.9412
AMD108.25120.3211.2
AVGO679.33728.87.3
MU66.5469.64.6
MSFT313.85325.963.9
QQQ331.65339.742.4
SPY411.09414.630.9
INTC28.9827.41-5.4
Rows × columns
9 × 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 May 25, 2023, close to close: the semiconductor complex around NVDA's gap, derived from the stored result.
ColumnTypeRangeNotes
ticker text 9 distinct values (AMD, AVGO, INTC…)
may24_close number 28.98 to 679.33 US dollars
may25_close number 27.41 to 728.8 US dollars
day_change_pct number -5.4 to 24.4 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 
SELECT
    ticker,
    may24_close,
    may25_close,
    round((may25_close / may24_close - 1) * 100, 1) AS day_change_pct
FROM (
    SELECT
        ticker,
        round(argMaxIf(toFloat64(close), window_start,
            toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2023-05-24') AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS may24_close,
        round(argMaxIf(toFloat64(close), window_start,
            toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2023-05-25') AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS may25_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('NVDA', 'AMD', 'TSM', 'AVGO', 'MU', 'INTC', 'MSFT', 'SPY', 'QQQ')
      AND window_start >= toDateTime('2023-05-24 00:00:00') AND window_start < toDateTime('2023-05-26 00:00:00')
    GROUP BY ticker
)
ORDER BY day_change_pct DESC

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