NVDA and META in the news feed on July 10: every company-named headline

Name: NVDA and META in the news feed on July 10: every company-named headline
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 10, 2026, The Day in Numbers.

as of 2026-07-26 table 5×3read in context →

NVDA and META in the news feed on July 10: every company-named headline — 5 rows by 3 columns, computed 2026-07-26 from US exchange, SIP and OPRA data.
et_time	title	publisher
03:05	Global Power Solutions Announces Registration to Attend Data Centre West 2026 in Calgary and Applauds Meta’s Historic CAD $13 Billion Alberta Data Centre Investment	GlobeNewswire Inc.
11:19	Nvidia Is the Cheapest It's Been Since 2019. Why Investors Should Load Up Now.	The Motley Fool
11:20	Why Meta Platforms Stock Jumped on Friday	The Motley Fool
12:03	AI Price War Breaks Out as Meta Tries to Buy Its Way Into the Frontier	Investing.com
18:02	3 Reasons I Think Meta Platforms is a Screaming Buy Right Now	The Motley Fool

Rows × columns: 5 × 3
Period covered: 03:05 to 18:02
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 NVDA and META in the news feed on July 10: every company-named headline, derived from the stored result.
Column	Type	Range
`et_time`	date	03:05 to 18:02
`title`	text	5 distinct values
`publisher`	text	3 distinct values

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

SELECT
    formatDateTime(toTimeZone(published_utc, 'America/New_York'), '%H:%i') AS et_time,
    title,
    JSONExtractString(publisher, 'name') AS publisher
FROM global_markets.stocks_news
WHERE toDate(toTimeZone(published_utc, 'America/New_York')) = '2026-07-10'
  AND (has(tickers, 'NVDA') OR has(tickers, 'META'))
  AND NOT has(tickers, 'SPCX')
  AND (positionCaseInsensitive(title, 'nvidia') > 0 OR positionCaseInsensitive(title, 'meta') > 0)
ORDER BY published_utc ASC, title ASC

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisMarket Recap: July 10, 2026, The Day in Numbers

The eleven SPDR sector ETFs: July 10 close vs July 9 close, regular hours table 11×5 → Top 6 by dollars traded, top 4 by shares traded: July 10 regular hours table 10×5 → Ten names that defined the session: gap, intraday, close, dollars, July 10 table 10×8 → SPY / QQQ / DIA / IWM: July 10 vs the July 9 close, regular hours table 4×10 → SPY / QQQ / NVDA / META / MU / SNDK / AVGO: RTH median quoted spread in basis points ranking 7×2 → 2026's five largest US listings by dollars raised ranking 5×3 → See all 2,170 queries →