The chip complex on July 7: change vs Monday's close, range timing, and dollar volume

Name: The chip complex on July 7: change vs Monday's close, range timing, and dollar volume
Creator: Strasmore
Published: 2026-07-26
License: https://www.strasmore.com/terms/

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 7, 2026, The Day in Numbers.

as of 2026-07-26 table 14×10read in context →

The chip complex on July 7: change vs Monday's close, range timing, and dollar volume — 14 rows by 10 columns, computed 2026-07-26 from US exchange, SIP and OPRA data.
ticker	prior_close	day_close	pct_chg	day_high_et	day_low_et	high_minute_et	low_minute_et	range_pct	day_dollar_bn
AMD	551.95	516.57	-6.41	12:29	10:46	749	646	4.34	12.48
AVGO	373.9	370.79	-0.83	13:42	10:44	822	644	3.02	6.09
INTC	122.22	110.5	-9.59	09:30	15:18	570	918	7.54	13.82
KLAC	233.39	216.52	-7.23	09:30	10:43	570	643	6.13	2.91
LRCX	349.92	326.12	-6.8	09:30	10:41	570	641	5.64	3.97
MRVL	249.29	230.81	-7.41	09:30	10:42	570	642	6.5	6.42
MU	984.31	938.95	-4.61	15:59	10:41	959	641	5.65	41.6
NVDA	195.62	196.93	0.67	13:07	10:35	787	635	3.8	19.95
SNDK	1743.08	1619.26	-7.1	09:30	10:42	570	642	10.36	19.73
SOXL	194.77	165.27	-15.15	09:30	10:44	570	644	14.53	10.8
SOXS	4.16	4.82	15.87	10:42	09:30	642	570	10.3	2.78
STX	869.5	827.4	-4.84	09:45	10:44	585	644	6.58	3.1
TER	379.66	343.1	-9.63	09:30	10:41	570	641	9.98	1.59
WDC	577.46	532.34	-7.81	09:30	11:00	570	660	7.76	3.73

Rows × columns: 14 × 10
Computed: 2026-07-26
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 The chip complex on July 7: change vs Monday's close, range timing, and dollar volume, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	14 distinct values (AMD, AVGO, INTC…)
`prior_close`	number	4.16 to 1,743.08	US dollars
`day_close`	number	4.82 to 1,619.26	US dollars
`pct_chg`	number	-15.15 to 15.87	percent
`day_high_et`	text	7 distinct values (09:30, 09:45, 10:42…)
`day_low_et`	text	9 distinct values (09:30, 10:35, 10:41…)
`high_minute_et`	number	570 to 959	US dollars
`low_minute_et`	number	570 to 918	US dollars
`range_pct`	number	3.02 to 14.53	percent
`day_dollar_bn`	number	1.59 to 41.6

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 2026-07-26, 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 < '2026-07-07 00:00:00')) AS prior_close,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-07 00:00:00')) AS day_close,
        maxIf(toFloat64(high), window_start >= '2026-07-07 00:00:00') AS day_high,
        minIf(toFloat64(low), window_start >= '2026-07-07 00:00:00') AS day_low,
        argMinIf(window_start, (toFloat64(low), toInt64(toUnixTimestamp(window_start))), window_start >= '2026-07-07 00:00:00') AS low_bar,
        argMaxIf(window_start, (toFloat64(high), -toInt64(toUnixTimestamp(window_start))), window_start >= '2026-07-07 00:00:00') AS high_bar,
        round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-07 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 >= '2026-07-06 13:30:00' AND window_start < '2026-07-06 20:00:00')
        OR (window_start >= '2026-07-07 13:30:00' AND window_start < '2026-07-07 20:00:00'))
    GROUP BY ticker
)
SELECT
    ticker,
    round(prior_close, 2) AS prior_close,
    round(day_close, 2) AS day_close,
    round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
    formatDateTime(toTimeZone(high_bar, 'America/New_York'), '%H:%i') AS day_high_et,
    formatDateTime(toTimeZone(low_bar, 'America/New_York'), '%H:%i') AS day_low_et,
    toHour(toTimeZone(high_bar, 'America/New_York')) * 60 + toMinute(toTimeZone(high_bar, 'America/New_York')) AS high_minute_et,
    toHour(toTimeZone(low_bar, 'America/New_York')) * 60 + toMinute(toTimeZone(low_bar, 'America/New_York')) AS low_minute_et,
    round((day_high / day_low - 1) * 100, 2) AS range_pct,
    day_dollar_bn
FROM per_name
ORDER BY ticker

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