Broadcom Leads Magnificent 7 Stocks With 18.2% Weekly Gain
· 3 sources
Opening Bell Daily reports Broadcom rose 18.2% from November 6 to 13, ahead of every Magnificent 7 peer, while Moomoo tracked options and dark pool data.
What happened
Broadcom stock gained 18.2% between November 6 and 13, more than any other Magnificent 7 stock, according to Opening Bell Daily. Over the same stretch, the outlet says Tesla rose 8.9% and Nvidia fell 12.7%.
Moomoo reports that options flow points to an expected swing of 6.7% by Friday. Its dark pool tally shows off-exchange volume of 11,183,081 shares on Nov 13 (35.4% of volume), 17,781,010 on Nov 12 (40.6%) and 11,909,501 on Nov 11 (35.4%). Moomoo adds that activity on Nov 13 ran 1.1x normal and that the 5-day trend is rising.
BigGo Finance reports that Korea Circuit jumped 51% on what it calls a Broadcom tailwind, with AI substrate growth seen doubling up.
Context
Broadcom is one of the large technology companies often grouped with the Magnificent 7, a label used for the biggest U.S. tech names.
Why it matters
Broadcom's move relative to its large-cap peers, and its effect on related suppliers, may draw attention to how AI-linked demand is affecting different companies.
Stocks in this story
Price changes are shown for the trading day of the story and are a coincidence in time, not proof that the news caused them. Figures are ATLAS data from our database.
$347.01−4.76% vs. previous close ($364.36) · November 13
Fair value (ATLAS)
$227.80Fair range: $176.86 to $314.07The price ($347.01) is 52.3% above that figure.
Chance of a rise in 1 month
47%Probability of closing higher than today within 21 sessions.Normal range: half of the scenarios end between $308.69 and $382.21; 9 in 10, between $255.43 and $461.91.
Fair value, probabilities and earnings for every stock. Free account, no card. Information, not advice.
Information, not advice. This content is informational and is not an investment recommendation or an offer to buy or sell securities. ATLAS estimates come from statistical models using public data, can be wrong, and past performance does not guarantee future results. Disclaimer
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