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Shyon

🎓 Mechanical Engineer 📦 SCM Certification 📊 Technical Analysis 🌏 Investor 🇺🇸🇸🇬🇲🇾🇭🇰 Tesla

    • ShyonShyon
      ·09-11 23:00
      I think Kioxia’s potential U.S. listing is interesting because it could give NAND and enterprise SSDs much more visibility among global AI investors. AI is not only driving HBM demand anymore. The massive growth in data, inference and AI workloads also means storage is becoming an increasingly important part of the infrastructure. For me, this makes $SanDisk Corp.(SNDK)$ and $Micron Technology(MU)$ particularly interesting to watch, although their exposure is different. I am especially watching whether enterprise SSD demand and NAND pricing can remain strong as AI data-center spending continues to grow. I still see storage as a cyclical industry, so I would not chase the rally blindly. If AI can struct
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    • ShyonShyon
      ·09-11 22:53
      I see Burry’s move as risk management, not a change of conviction. Closing the December puts reduces time-decay risk, while his longer-dated puts and short positions show he still has concerns about AI valuations. I remain bullish on AI, PLTR and NVDA, but I understand the valuation risk. Strong growth must continue to catch up with expectations, especially at such high multiples. Personally, I will not change my holdings just because Burry moved. I prefer to follow earnings, growth and guidance, while using pullbacks to accumulate gradually. I will stay patient and let the numbers, rather than headlines, guide my decisions. Even the best investors can be early, so I prefer to make my own plan and trade it. Consistency over noise. 🐯 @
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    • ShyonShyon
      ·09-10 22:12

      🔥 Oracle Earnings: The $638B AI Bet — Goldmine or Debt Trap?

      $Oracle(ORCL)$   reports earnings tonight, and I think this one could be much bigger than a normal software earnings report. A year ago, Oracle's huge OpenAI deal helped trigger a massive rally. Today, the market is asking a very different question: can Oracle actually turn all that AI demand into real profits and cash flow? The bull case is impressive. Oracle Cloud Infrastructure grew 93% in the latest quarter, while total cloud revenue jumped 47%. Its remaining performance obligations have exploded to US$638B, and Oracle is targeting around US$90B of revenue for FY2027. Its partnership with OpenAI is also enormous, with up to 4.5GW of additional data-centre capacity under development. If AI demand keeps accele
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      🔥 Oracle Earnings: The $638B AI Bet — Goldmine or Debt Trap?
    • ShyonShyon
      ·09-10 18:44
      I think the AI power crunch is becoming a very interesting long-term theme. AI growth needs not only GPUs and data centers, but also reliable 24/7 electricity. Nuclear, uranium and fuel cells could all benefit as hyperscalers secure more power capacity. I am especially interested in nuclear and uranium for the mid-to-long term, but I would not chase this rally. Names like $NuScale Power(SMR)$ and $NANO Nuclear Energy Inc(NNE)$ can move very quickly, so I prefer building positions gradually on pullbacks rather than buying after a sharp spike. The fundamental story looks real, but not every stock will win. For me, it is s
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    • ShyonShyon
      ·09-10 18:28
      If oil above $100 is only a short-term move, I would not be too worried & would instead watch for opportunities in energy stocks. But if oil stays above $100 for a prolonged period, higher inflation could delay rate cuts and put pressure on high-valuation tech & growth stocks. I see energy companies as the most direct beneficiaries, while gold could also benefit from higher inflation & uncertainty. On the other hand, airlines, transportation, consumers and lower-margin businesses could face rising costs. For tech stocks, the bigger risk is not oil itself, but the possibility of rates staying higher for longer. If oil keeps rising, I would not completely change my long-term portfolio. I would simply avoid chasing expensive stocks, keep some cash for pullbacks, and maintain dive
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    • ShyonShyon
      ·09-10 18:12
      For me, the key is whether $Oracle(ORCL)$ can turn its huge AI backlog into real revenue and cash flow. A $638 billion backlog sounds impressive, but it means little if execution cannot keep up with the capital spending required. I would watch cloud growth, AI demand, contract wins and especially free cash flow. If Oracle shows that AI investments are starting to generate stronger cash returns, I would be more comfortable investing behind the backlog. I also want to see whether management can maintain strong growth without continuously increasing its spending burden. I remain bullish on AI infrastructure long term, but I do not want to chase the story based on backlog alone. I want the numbers to prove it first. If the results are strong, I would
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    • ShyonShyon
      ·09-10 13:38
      For me, the key shift is $Meta Platforms, Inc.(META)$ moving AI from simply talking to actually taking action. Tasks like shopping, travel, scheduling and payments create much clearer paths to monetization than another stronger chatbot. I am bullish on Meta’s distribution advantage through Facebook, Instagram and WhatsApp. If AI agents become deeply integrated into these platforms, Meta could benefit across advertising, commerce, payments and subscriptions without needing to build a new user base from scratch. The biggest test is trust and reliability. If users become comfortable letting Meta’s AI handle real tasks, while usage and monetization continue to grow, I think the market could increasingly view META as an AI monetization winner rather

      Meta Is Moving Beyond Model Benchmarks: AI Competition Is Entering the “Execution Layer”

      @Tiger_comments：
      Meta’s latest AI product is meaningfully different from a typical chatbot. Instead of simply answering questions, it is designed to help users actually complete tasks across areas like email, calendars, shopping, payments and travel planning. Compared with another round of “bigger model, higher benchmark” announcements, the more important shift is that Meta is pushing AI from something that talks to users into something that acts for them. That matters especially for Meta because the market’s biggest question is no longer whether the company has serious AI capabilities. The real question is when its massive AI spending starts turning into revenue. Meta has continued to invest heavily in data centers, GPUs and top AI talent, but stronger models alone do not automatically create a new busine
      Meta Is Moving Beyond Model Benchmarks: AI Competition Is Entering the “Execution Layer”
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    • ShyonShyon
      ·09-09 23:51
      For me, I wouldn’t rush into the next open just because Goldman’s call came after the bell. Analyst upgrades can trigger a gap-up, but I’d rather see whether the move holds than chase the initial reaction. For $Micron Technology(MU)$ and $SanDisk Corp.(SNDK)$ , I’m focused more on the memory-cycle fundamentals than one upgrade. If tight inventory, pricing power and AI demand continue supporting earnings, I’m comfortable holding through volatility. A strong opening is nice, but sustained strength is what matters to me. I’d rather buy confirmation than buy excitement. My approach is consistency over noise. If price action and volume confirm the bullish setup, I can add gradually; if the market rejects the ne
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    • ShyonShyon
      ·09-09 23:45
      Personally, I think humanoid robotics could become a meaningful second growth curve for Chinese EV makers, but I wouldn’t value it as a major profit engine yet. The technology overlap with EVs is real—AI, batteries, sensors, motors and manufacturing give these companies a natural head start. XPeng stands out to me because it is moving aggressively from prototypes toward production and deployment. I still see EVs as the core business for years. Robotics needs to prove real orders, scalable production, lower costs & recurring revenue before investors should assign a major valuation premium. For now, I see humanoids more as a valuable growth option than a proven profit engine. I choose to lean toward $XPeng Inc.(
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    • ShyonShyon
      ·09-09
      I’d choose A — Chase the Winner 📈. I’d rather pay a reasonable premium for a strong company with growing earnings, cash flow and a durable competitive advantage than buy a falling stock simply because it looks cheap. For me, the key is quality + growth + valuation, not just the share price. A stock can look expensive and still outperform if earnings continue to beat expectations, while a “cheap” stock can remain cheap for years if the fundamentals keep deteriorating. That said, I wouldn’t blindly chase momentum. I’d prefer to build positions gradually on pullbacks and hold for the medium to long term. In my view, buying a great business at a reasonable price beats buying a bad business at a cheap price. @
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