$NVIDIA(NVDA)$ its coming, the crash i mean. I think the Iranians are going to reject the ceasefire and et back to war. The Strait is closed  and it will stay that way and they are going to take delight in watching the West suffer economicslly. Just a hunch

Rather dramatic run up this quarter and net investment in AI outweighs ROI at this point. How long can companies keep up?

AI is going from strong to stronger. Goods news for a techy nerdy

Looks like the AI chip rally extends to its Asia counterparts too. South Korea's benchmark stock index has crossed the 7,000-point mark for the first time ever, led by chip giant Samsung Electronics (SSNLF). Investor sentiment was lifted by the global AI-driven chip rally a day ago and strong economic data released on Monday. Record high: The KOSPI index closed 6.5% higher at 7,384.56 on Wednesday, paring some gains after reaching a record intraday high of 7,426.60. The index's top gainers were Samsung, whose Seoul-listed shares rose over 14%, and Nvidia supplier SK hynix, which gained about 11%. Samsung's market cap also surpassed $1T, making it the second Asian company to join the trillion-dollar club after Taiwan Semiconductor (TSM). KOSPI's latest rally added to Monday's gains, which w

Recently, the S&P 500 has maintained strength near its highs, but analyzing from multiple dimensions such as valuation, fund flows, and insider trading reveals that the internal market is not experiencing consistent expansion. The current US stock market is closer to a phase where 'index resilience remains strong, but structural divergence continues to deepen': At the index level, it is still supported by leading heavyweight stocks and capital inflow, but absolute stock-bond valuations are weak, sector valuations are diverging, insider trading signals and the internal strength disparities among the M7 all suggest that the constraints of operating at high levels have not disappeared. This article will systematically review the structural characteristics and potential constraints of curr

Nvidia and TSMC Ignite ‘Hyperdrive’ — But Where Is the Absolute Ceiling for AI Demand? The semiconductor super-cycle just caught another massive tailwind. Both NVDA and TSM surged approximately 6% following explosive analyst reports that hyperscalers have officially entered an AI compute "hyperdrive" procurement cycle. This isn't just about Big Tech building better chatbots anymore—TotalEnergies’ massive deployment of the Pangea 5 supercomputer proves that heavy industry is now aggressively entering the AI arms race. With advanced node utilization maxing out and Google rapidly closing the market cap gap with Nvidia, the market is asking one critical question: is there actually a ceiling to this demand, or are we still in the early innings of a multi-year hardware rollout? 1️⃣ The "Hyperdri

Two most important company of the world

Yes Nvida still the number 1 AI GPU. Thee is room to improve the share price

My read: the ceiling is not compute demand, it is supply chain throughput. For NVIDIA: • Hyperscalers are shifting from pilot spending to infrastructure-scale deployment. This is a multi-year order book, not a one-quarter burst. • Industrial AI demand is broadening beyond cloud. Energy, manufacturing, simulation and digital twins are now meaningful buyers, which widens NVIDIA’s TAM materially.  • The true bottlenecks are HBM memory, advanced packaging (CoWoS), power, and datacentre buildouts, not customer appetite.  NVIDIA roadmap: • Near term: $260 to $280 if next guidance lifts again • Bull case: $300+ becomes realistic if Rubin ramp + networking attach rates remain strong • Ceiling? Still unclear. Demand looks capacity-constrained, not end-market-constrained. For TSMC: • The U

Nvidia may be the cheapest now but that is a reflection of market’s confidence in it remaining as the leader being shaken. Its main advantage is being challenged with AMD’s chips being not too inferior yet coming at a fraction of nvidia’s cost which challenged Nvidia’s ability to continuing charging at a premium. Given how fast the market’s demand continue for chips is rising and nvidia’s inability to meet all the demand, this is the time for AMD to shine and I think in about 1 year, Nvidia’s share will drop to 60% and even less as more players rise to the scene. Alphabet looks set to be the next to break $5T with its cloud and Gemini. It is well positioned to be a relevant AI player on many levels. I have never held Nvidia as a lone stock as I believe this is a scene where no company

Nvidia hits $5 trillion with explosive revenue growth and relatively "cheap" seems a buy but not without risk.

Interesting watching NVDA drop while the broader AI story is still strong. Feels like the market isn’t just reacting to results anymore, but to expectations, valuation, and whether growth can keep surprising. Still learning, but this feels like a good reminder not to chase blindly.

This is worth your time reading 

No Navida is the leader in chips 

Today, let’s talk about one of the hottest topics in the investment world recently: the sharp rally in the U.S. semiconductor sector. It is fair to say that, whether we look at the fundamentals and financial data or at market price performance, the semiconductor sector has become a major driver of the recent rise in U.S. equities, and arguably the dominant one. As we all know, in the recent performance of U.S. equity gains, large technology companies—especially the SOX Philadelphia Semiconductor Index—have delivered the largest share of the market’s beta gains. At the same time, in the upward revisions to average earnings-per-share expectations for the S&P 500, semiconductor names such as Nvidia and Micron have also made the biggest contributions. However, even in last week’s market ra

$Taiwan Semiconductor Manufacturing(TSM)$ $NVIDIA(NVDA)$ Nvidia has roared back to the $200 level, riding a wave of confirmation from TSMC’s blockbuster Q1 earnings that showcased robust AI compute demand, combined with broader market record highs acting as powerful macro tailwinds. 😤 This reclaim is no small feat after recent volatility — it signals that the AI infrastructure narrative remains firmly intact, with hyperscaler capex continuing to fuel insatiable appetite for Nvidia’s GPUs and custom silicon. TSMC’s strong results, including record advanced-node revenue and AI-related growth, provided direct validation that the semiconductor backbone is humming, while S&P 500 and Nasdaq records added the

$NVIDIA(NVDA)$ rose +4% yesterday, becoming the first company in the world to surpass a $5 trillion market cap, while also breaking out of a 10-month consolidation range. At the same time, the Nasdaq hit a new all-time high, but $Cboe Volatility Index(VIX)$ fear index rose to 18 (from a low of 13.38 earlier this month), and market breadth deteriorated to the second worst level in history — this rally has been almost entirely driven by NVDA alone. Top 5 market caps NVDA is already the most valuable company in the world, but on a PE basis, it is actually the cheapest among the Mag-7. BofA releases the new research report: PT at $300, +44% upside CY27 revenue forecast: $360B (+66.7% YoY) CY27 EPS: $8.11 (+78.

NVDA Near Highs Again, $35M Options Bet Says Rally Isn't Over Driven by a continued AI tailwind and improving risk appetite, Nvidia's stock has staged a sharp recovery. On Tuesday, shares of $NVIDIA(NVDA)$   rose 3.6%, rebounding from a late-March low of $164.27 to around $195, approaching prior highs. After rallying nearly 20% in just two weeks, a key question emerges: is this the start of a new leg higher, or is the rally entering a more measured phase? The options market appears to have an answer. On April 14, a roughly $35 million multi-leg trade showed that institutional investors are still actively positioning for further upside in NVDA. Options Activity: $35M Structure Signals a Measured Upside View

Short answer: not materially in the near term, but the moat may narrow at the edges over time. Why NVIDIA still leads: 1. CUDA remains the moat Software lock-in is powerful. Enterprises have built workflows around CUDA, cuDNN, NCCL and Nvidia’s full AI stack. Switching cost is very high. 2. Best-in-class full stack Google TPU and Amazon Trainium are strong, but mostly internal workload optimisers, not broad ecosystem platforms at Nvidia’s scale. 3. Inference is the battleground Custom silicon can win in narrow inference tasks where cost per token matters. That can chip away at some share. Where risk is real: hyperscalers reserve proprietary chips for their own fleets compression / quantisation lowers compute intensity competitor ecosystems mature Where Nvidia stays dominant: frontier model