$Apple(AAPL)$  After Tim Cook, will John Ternus, if he becomes the next CEO. Will he be any good? Apple needs a breakthrough.  Something that can cause a stir like a game changing thing whereby everyone will have their eyebrows raised, eyes wide opened! Apple is a brand everyone wants it.

$Apple(AAPL)$  It's time for Tim Cook to step down. All other stocks are in the up momentum but not Aapl . 

$Apple(AAPL)$   Apple Inc. (NASDAQ:AAPL) is one of the best major stocks to invest in right now. On January 6, Bernstein reiterated a Buy rating on Apple Inc. (NASDAQ:AAPL) and set a price target of $325. Apple Inc. (NASDAQ:AAPL) also received a rating update from Bank of America Securities on January 5, with the firm reaffirming a Buy rating on the stock with a $325 price target.

$Apple(AAPL)$  Bullish.  Apple Stock Set to Break Brutal Losing Streak. Why It Remains Evercore’s ‘Top Pick.’ Key Points About This Summary Apple stock declined 5.4% over seven trading days, marking its longest losing streak since May. Evercore ISI analysts project near-term upside for Apple, reiterating an Outperform rating and a $330 price target. Strong iPhone demand and minimal memory cost headwinds are expected to drive revenue growth of 10% to 12%. Analysts at Evercore think there are factors that could turn the stock around in the near term. The firm reiterated an Outperform rating for Apple shares and nudged its price target to $330 from $325 in a research note Friday, citing strong revenue and earnings estimates for the quarter

$Apple(AAPL)$ yeah. Because I love apple and because I am a supporter of their products! Looking forward for new model. 18 Pro

$Apple(AAPL)$  

$Aeva Technologies Inc.(AEVA)$  

$CoreWeave, Inc.(CRWV)$  

$Apple(AAPL)$  

$CoreWeave, Inc.(CRWV)$  

$NVIDIA(NVDA)$  

$AST SpaceMobile, Inc.(ASTS)$  

$Apple(AAPL)$  

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$Tesla Motors(TSLA)$  

$Tesla Motors(TSLA)$  Looks like it's getting further downhill which it's a good sign to short positions. Maybe today we can see another drop to $350 and below.

$NVIDIA(NVDA)$   GPUs and TPUs both accelerate AI workloads, yet their strengths lie in different domains. GPUs offer unmatched flexibility, ecosystem compatibility, and support for diverse computing tasks such as graphics rendering, simulations, and AI research. TPUs, built with systolic arrays, excel in deep learning models, providing superior throughput and energy efficiency, though with reduced generality. The right choice depends on factors like architecture, cost, scalability, and framework support.  TPU vs GPU: Comprehensive Technical Comparison https://share.google/pnYNnTQ7jGYbL3VBF

$NVIDIA(NVDA)$   “If we delivered a bad quarter, it is evidence there’s an AI bubble. If we delivered a great quarter, we are fueling the AI bubble,” he told employees. “If we were off by just a hair, if it looked even a little bit creaky, the whole world would’ve fallen apart.” Nvidia CEO says the company is in a no-win situation amid AI-bubble chatter, leaked meeting reveals | Fortune https://share.google/JyWWQ99CSFVOo1V6t