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Fourteen chip names: gap at the open vs the rest of the day, July 9

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 Market Recap: July 9, 2026, The Day in Numbers.

as of table 14×8read in context →
Fourteen chip names: gap at the open vs the rest of the day, July 9 — 14 rows by 8 columns, computed from US exchange, SIP and OPRA data.
tickerprior_closeday_openday_closegap_pctintraday_pctpct_chgday_dollar_bn
AMD517.26537.26546.663.871.755.6812.15
AVGO388.67402.19401.113.48-0.273.28.34
INTC110.27114.87112.554.17-2.022.079.21
KLAC221.03239.02229.518.14-3.983.842.29
LRCX332.93365.13353.249.67-3.266.13.36
MRVL231.66246.18243.336.27-1.165.044.04
MU949.371016.51990.57.07-2.564.3333.56
NVDA204.14204.46202.760.16-0.83-0.6821.28
SNDK1729.41835.611858.266.141.237.4520.59
SOXL174.84199.81192.4414.28-3.6910.077.8
SOXS4.523.874.07-14.385.17-9.962.18
STX859.68922.28889.797.28-3.523.53.64
TER351.56379.24362.877.87-4.323.220.95
WDC550.71594.14578.327.89-2.665.013.27
Rows × columns
14 × 8
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 Fourteen chip names: gap at the open vs the rest of the day, July 9, derived from the stored result.
ColumnTypeRangeNotes
ticker text 14 distinct values (AMD, AVGO, INTC…)
prior_close number 4.52 to 1,729.4 US dollars
day_open number 3.87 to 1,835.61 US dollars
day_close number 4.07 to 1,858.26 US dollars
gap_pct number -14.38 to 14.28 percent
intraday_pct number -4.32 to 5.17 percent
pct_chg number -9.96 to 10.07 percent
day_dollar_bn number 0.95 to 33.56

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 per_name AS (
    SELECT
        ticker,
        toFloat64(argMaxIf(close, window_start, window_start < '2026-07-09 00:00:00')) AS prior_close,
        toFloat64(argMinIf(open, window_start, window_start >= '2026-07-09 00:00:00')) AS day_open,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-09 00:00:00')) AS day_close,
        maxIf(toFloat64(high), window_start >= '2026-07-09 00:00:00') AS day_high,
        minIf(toFloat64(low), window_start >= '2026-07-09 00:00:00') AS day_low,
        round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-09 00:00:00') / 1e9, 2) AS day_dollar_bn
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AMD', 'AVGO', 'INTC', 'KLAC', 'LRCX', 'MRVL', 'MU', 'NVDA', 'SNDK', 'SOXL', 'SOXS', 'STX', 'TER', 'WDC')
      AND ((window_start >= '2026-07-08 13:30:00' AND window_start < '2026-07-08 20:00:00')
        OR (window_start >= '2026-07-09 13:30:00' AND window_start < '2026-07-09 20:00:00'))
    GROUP BY ticker
)
SELECT
    ticker,
    round(prior_close, 2) AS prior_close,
    round(day_open, 2) AS day_open,
    round(day_close, 2) AS day_close,
    round((day_open / prior_close - 1) * 100, 2) AS gap_pct,
    round((day_close / day_open - 1) * 100, 2) AS intraday_pct,
    round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
    day_dollar_bn
FROM per_name
ORDER BY ticker

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