Micron Technology shares fall on Nov 12 amid sector weakness, outlets report
· 6 sources
Micron (MU) stock moved lower on Nov 12, with TradingKey citing chip sector weakness and Crypto Briefing pointing to Nvidia leadership news. ATLAS summarizes.
What happened
Micron Technology (MU) shares traded lower on Thursday, Nov 12, according to TradingKey, Crypto Briefing, Benzinga and The Globe and Mail. TradingKey says the stock opened down 3.17%, while Crypto Briefing reports a drop of 5%.
TradingKey attributes the decline to weakness in the semiconductor sector and concerns about supply and demand. It also says high capital expenditures and competitive pressures raised questions about the durability of cash flow, and that technical indicators show sell signals even though overall market sentiment remains bullish.
Crypto Briefing links the drop to fallout from a resignation of Nvidia's CEO. Trefis separately notes that Micron trades at 10.8 times trailing twelve-month earnings, compared with 21.9 for the S&P 500.
Context
Micron is a memory chip maker, and its shares are often influenced by sentiment across the broader semiconductor industry.
Why it matters
The move shows how Micron's stock can react to sector-wide sentiment and to news involving other major chip companies such as Nvidia.
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.
$1,436.07Fair range: $370.00 to $2,256.84The price ($760.31) is 47.1% below that figure.
Chance of a rise in 1 month
45%Probability of closing higher than today within 21 sessions.Normal range: half of the scenarios end between $632.59 and $863.68; 9 in 10, between $480.00 and $1,138.24.
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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