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  • V
    Vt3

    $Intel(INTC.US)

    POST for 8/10/26

    1️⃣ In particular to last session, the stock dipped 3.18% after Elon Musk said TSMC was discussing participation in his Tera fab venture, weakening expectation for Intel’s role. So, looking back, I have sold only part of my holdings, is justify. The stock remained volatile as investors weighed the company’s restructuring efforts, AI strategy and ongoing turnaround progress.

    2️⃣ However, if the next few sessions, should the price dip further, I will consider to add more back. With sentiment still mixed, the share price has softened from recent highs. The company still owns valuable manufacturing assets, US semi conductor leadership ambitions, and potential upside if its foundry and AI business gain traction.

    3️⃣ Looking ahead, the next few quarters may remain choppy, but any improvement in execution, margins, foundry customer wins, or AI related demand could support a recovery. I view further weakness as an opportunity to accumulate gradually while waiting for intel’s longer term turnaround story to unfold.

    2026.09.2413:47:59Sell orders
    Filled timeQtyPriceDirection
    2026.09.24
    13:47:59
    5125.36Sell
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  • A
    AI Gossip

    Synopsys thinks it's hard for AI to displace its moat in foundry sign-off. This is an area strongly protected by EDA incumbents Synopsys and Cadence. Startups couldn't break this foundry interface moat.

    Source: Sravan Kundojjala

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  • G
    gedebe

    $Microsoft(MSFT.US)

    Context: Microsoft needs to work harder to make its AI standout among the crowded AI names. Satya Nadella managed to transform Microsoft from just being a software company to the 2nd largest cloud computing company. However Microsoft AI products were not well received by the consumer. Copilot seemed like a product that Microsoft forced onto others by incorporating it in Windows and Microsoft think that Copilot can be a jack of all trades but really became master of none. Despite having a head start with OpenAI, Microsoft could not fulfill OpenAI's tremendous processing power. On 27 Apr 2026, Microsoft renegotiated OpenAi to end Microsoft exclusivity to OpenAI. OpenAI is now free to find cloud compute platform in Microsoft rivals like Amazon and Oracle. OpenAI is also allowed to sell its services to Microsoft rivals.

    My trade: sell Microsoft for now.

    Takeaway: Still Satya Nadella is a smart guy that has proven that it can adapt to changes, he must prove it again.$NVIDIA(NVDA.US)$Intel(INTC.US)$Netflix(NFLX.US)

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  • H
    Hardik Shah

    📢 𝐉𝐔𝐒𝐓 𝐈𝐍: Applied Materials and Intel Collaborate to Accelerate Chipmaking Innovations for AI-Driven Computing - $Applied Materials(AMAT.US) $Intel(INTC.US)

  • G
    gedebe

    $Netflix(NFLX.US)

    Context: Netflix subscribers are not expanding as expected this was admitted by Netflix co-CEO Ted Sarandos recently. In the 2nd quarter results, although revenue went up 13% YOY to US$12.5 billion but crack already appeared, viewing hours just increase a mere 2% and top 10 originals viewership fell 4%. YTD, this stock already fell 25%!

    My trade: sell Netflix

    Takeaway: The Internet is flooded with more content creators than ever and most of them are free. Take for example the influx of Chinese micro dramas which only last 1-2 minutes have even inspired the western counterpart to copy them, 1st time I ever heard that the west copy the east in film making! Those content creator might not be as profitable as Netflix but if they manage to attract audiences this itself already dent Netflix market share$NVIDIA(NVDA.US)$Intel(INTC.US).

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  • E
    Equity research

    SpaceX & xAI : 10GW–20GW AI Data Center Buildout, Terafab & Supply Chain Strategy

    > 10GW compute target (with a 20GW long-term goal) up from ~1.3GW current capacity.

    > 60% internal (xAI, SpaceX, Tesla) and 40% external (Anthropic, Google) for the initial 10GW.

    > Plans include terrestrial sites, a late 2027 Star Mine space data center, and a 2028 lunar deployment.

    > Terafab launching to make proprietary ASICs solely for internal use to dodge geopolitical risks.

    > Memphis/South Haven sites mix 3.6–4GW grid, 4GW gas turbines, 2GW Tesla solar, and 2GW Megapack backup.

    > Facing tight supply constraints on PCBs, optical modules, transformers, and cooling hardware.

    $SpaceX(SPCX.US) $Intel(INTC.US) $Taiwan Semiconductor(TSM.US)

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  • G
    gedebe

    $NVIDIA(NVDA.US)

    Context: Nvidia wants to use it's GPU for loan collateral . Jensen Huang thinks so highly of his product that he feels his GPU can last as long as 10 years. Electronic product usually depreciate fast and investing in it force the investor to run against time as they need to extract as much profit as possible from it before the product become obsolete. Electronic products productive life span typically are just 3-4 years. Jensen Huang claims that by using GPU as collateral, he can solve the problem of circular financing where Nvidia is investing in company that is buying it's product.

    My trade: sell Nvidia

    Takeaway: No electronics product can last until 10 years before a better version replaces it, couple with the recent historic high of Nvidia shares on last Friday closing, the signal is dump Nvidia.$Intel(INTC.US)$Netflix(NFLX.US)

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  • J
    Jim

    Well Well Well....

    October 1st - Prices are going UP!

    $Nebius(NBIS.US)

    $SMH $NVIDIA(NVDA.US) $AMD(AMD.US)

    Nebius Pricing Update — Key Takeaways

    Nebius raised on-demand pricing for its top AI GPUs effective October 1, 2026.

    The biggest takeaway is that older AI GPUs are still holding value, not getting commoditized as quickly as many expected.

    On-Demand GPU Price Changes

    H100: $3.85 → $4.50 (+17%)

    H200: $4.50 → $5.40 (+20%)

    B200: $7.15 → $8.50 (+19%)

    B300: $7.85 → $9.50 (+21%)

    What Stood Out

    H100 pricing rising is the big signal.

    H100 is an older generation GPU, yet Nebius increased pricing instead of discounting it.

    That suggests AI compute demand remains strong, even for older high-end accelerators.

    What Did NOT Move:

    RTX Pro 6000: unchanged at $1.80

    L40S with Intel CPU: unchanged from $1.55

    L40S with AMD CPU: unchanged from $1.82

    Spot / Preemptive Pricing

    Spot pricing remains much cheaper than on-demand:

    H100: from $0.79

    H200: from $0.79

    B200: from $0.99

    B300: from $0.99

    CPU-Only Pricing

    AMD EPYC Genoa: from $0.10 → $0.13

    Intel Ice Lake: from $0.05 → $0.06

    Why It Matters

    Nebius is showing pricing power in premium AI compute.

    High-end accelerators are seeing stronger demand than lower-tier products.

    If older GPUs like H100 and H200 can keep earning attractive rental rates for years 4, 5, and 6, then:

    AI infrastructure economics improve

    depreciation risk may be lower than feared

    lifetime ROIC on AI data centers could be materially better

    Bottom Line

    Big signal:

    Nebius raising H100 pricing by 17% is evidence that older AI GPUs still have real economic value.

    That supports the view that:

    AI demand is still strong

    Premium GPU capacity remains tight

    Older AI hardware may stay profitable longer than many bears expected.

    @aleabitoreddit @jukan05 @Banana3Stocks @fundstrat @WarrenPies @thejefflutz @TradexWhisperer @smartertrader @RyanDetrick @Micro2Macr0 @cantonmeow @dannycheng2022 @DivesTech @StockOptionCole @Mr_Derivatives @BeardoTrader @SuperLuckeee @blondebroker1 @StockPatternPro @StockMKTNewz @amitisinvesting

    $NVIDIA(NVDA.US) $AMD(AMD.US) $SMH

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  • J
    JPJP

    $iShares Semiconductor ETF(SOXX.US)

    Context:

    Semiconductors are recovering well after a drawdown and market volatility. Structural demand across AI infrastructure, data centers, and hardware remain robust.

    My trade:

    I am continuing to hold onto my long position in SOXX. This holding allows me to have broad diversification and exposure across leading chip manufacturers like Nvidia, Broadcom, AMD, and Intel. This allows me to capture AI demand growth and minimizing single stock concentration risk at the same time.

    Takeaway:

    Sometimes holding through price fluctuations and volatility allows the stock or ETF to recover over time and continue to compound. I am believing that this is a structural sector run, so I will continue to hold and buy at lower prices if an opportunity arises.

    2026.07.24 ~ 2026.10.01 All orders
    Cumulative P/L63.36 (USD)+12%
    2026.07.242026.10.01
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  • K
    kailash

    Anthropic's massive valuation target alongside a $42B loss shows that AI infrastructure spending is still going full throttle, regardless of high costs. It's a high-stakes game where only the strongest will survive in the long run

    C
    Captain's Watch
    Featured☕️ [Task Coins Giveaway] Daily Market Talk — Anthropic's IPO Filing Reveals a $42B Loss

    Reuters got a first look at Anthropic's IPO prospectus: revenue up 12-fold, a $42 billion net loss, and a $2 trillion valuation target. Meanwhile Treasury yields hit fresh multi-decade highs and gold ...