To The Moon

I think the $150B buyback authorization is a strong signal of Nvidia’s confidence in its future cash generation. What stands out to me is that $NVIDIA(NVDA)$ can still invest heavily in AI infrastructure and R&D while returning significant capital to shareholders. The $21.3B quarterly free cash flow shows how powerful the business has become. For me, the key is not simply the size of the buyback, but whether Nvidia can keep growing earnings and free cash flow strongly. Buybacks can support EPS growth by reducing the share count, but I also want management to keep investing in Blackwell, next-generation chips, networking & the broader AI ecosystem. As a long-term investor, I would rather see Nvidia balance AI investment, strategic opportun

🌟🌟🌟On Monday, while chip stocks were getting absolutely hammered by macro fears and whispers of AI hardware fatigue, $NVIDIA(NVDA)$ bucked the trend, ripping 1.68% higher. It was an amazing display of pure unadulterated market dominance.  When panic hits the market, the money runs straight home to NVIDIA. NVIDIA has just reminded the world that it owns the ultimate golden goose.  By flexing the biggest share buyback program in corporate history of USD 150 billion, CEO Jensen Huang kicked the bear thesis right out of the window. NVIDIA is no longer just riding the AI wave.  NVIDIA Is  The Wave!  As a long term investor, it is an incredible milestone.  It is the ultimate validation of NVIDIA's long term value.  M

🌟🌟🌟Monday was a brutal reminder that $Intel(INTC)$ turnaround is a marathon not a sprint.  While $NVIDIA(NVDA)$ was busy buying back its own weight in gold, Intel took a sharp 5.67% dive to USD 116.03. For investors who chased the spectacular 40% rally earlier this month, the sudden red candle feels like a splash of ice water. Let's be honest.  The valuation of Intel vs NVIDIA is not shrinking overnight.  Investors are looking at Intel's multi billion dollar foundry losses and realising that building an elite OEM chip making empire takes years. The market has the patience of a toddler.  So any pullback sends people running back to King NVIDIA. I believe this pullback is just a norma

BitMine crossing 6 million ETH is impressive, but the bigger story may be what happens after the accumulation. With 5.07 million ETH already staked, BitMine is turning a massive ETH treasury into a potential recurring-yield engine. The company currently cites a 2.62% annualized 7-day staking yield and projects about $358 million in annualized staking revenue. But investors should separate ETH appreciation from staking economics. A 2.62% yield sounds attractive until ETH falls 20%—staking income cannot fully offset a large decline in the underlying asset. That makes BMNR an interesting experiment: it is not simply betting on ETH’s price, but on ETH as a productive treasury asset. The real question is whether staking rewards can compound the treasury faster than dilution, financing costs an

A.  Treasury yields staying above 5% My vote is A — but the real signal is not the 5% number itself. It is whether 5% becomes the new floor. When Treasury yields stay elevated, stocks face a tougher hurdle: valuations must compete with a relatively high risk-free return, while corporate refinancing costs also rise. This is especially important for long-duration growth stocks whose value depends heavily on future cash flows. The bigger risk is the chain reaction: oil stays expensive → inflation remains sticky → rate cuts get pushed back → Treasury yields stay high. What makes this cycle interesting is that AI is not completely insulated. Hyperscalers have issued roughly $220 billion of bonds amid massive data-center investment, adding another source of borrowing demand So I’m watching

For me, the key takeaway is that this is not simply a stock-market problem. When oil stays above $100 and Treasury yields push above 5%, the risk-reward equation changes. I am watching yields closely because they can pressure valuations even when company fundamentals remain solid. I am still constructive on AI and semiconductors long term, but this environment makes selectivity more important. I would rather accumulate strong companies gradually on pullbacks than chase momentum, especially when higher rates can compress growth-stock valuations. For now, I am watching oil, inflation, the 10-year Treasury and earnings. My approach remains simple: patience, diversification and buying quality during weakness rather than reacting to the red heat map.

Mathematical Money | September 29, 2026 $VST Here's a company whose adjusted EBITDA grew 31% year on year last quarter, trading two and a half percent above its fifty-two week low. I doubled my position in it yesterday. This is the reasoning, including the part that argues against me. No price target, as usual. The thing almost nobody accounts for Vistra has hedged roughly 100% of its expected generation for 2026. About 84% for 2027. About 58% for 2028. Read that again, because it decides everything else. Hedging means selling your output forward at a fixed price. It removes the risk of power prices falling. It also removes the benefit of power prices rising. So the entire "AI data centres are going to make electricity scarce and expensive" thesis — the reason anyone looks at this sec

🌟 $Tesla Motors(TSLA)$ takes a 5% hit over 2 days and right on cue, critics are out claiming the wheels are falling off the wagon. The reality is Mother Nature has decided to dump torrential rain over Central Texas.  This has forced Elon Musk to push back the outdoor Roadster hypercar reveal by 2 weeks. The market threw a tantrum  because it has to wait a little longer but the big game is this Friday. Friday's Q3 delivery numbers is the ultimate showdown.  The bears are leaning into macro slowdowns with JPMorgan trimming numbers and flashing caution.  But they are blind to what is happening inside Tesla's showrooms. The family targeted 6 seat Model Y L has been a winner since orders opened in July.  Showrooms have literal

🌟 $SanDisk Corp.(SNDK)$ dropped 3.65% on Monday and suddenly the bears are whispering that the great AI storage boom is running out of gas. Let's not forget what happened the last time:  $Micron Technology(MU)$ dropped a monster earnings report & SanDisk launched itself into orbit with a huge 22% in a single day. Why? Because the market keeps forgetting a fundamental truth of the AI revolution: AI doesn't just need brains to compute.  AI needs an astronomical amount of flash memory to store the data. To traders sitting on their hands and waiting for clarity : I get it, volatility is scary.  But you know the demand for enterprise SSDs is an absolute fortress.  Buying this minor dip

$Invesco QQQ(QQQ)$   The Nasdaq Held. The Long Bond Didn't. My Calls Followed The Wrong One. Mathematical Money | September 30, 2026 The question going round is whether elevated yields break the tech bull. I think that's the wrong place to be looking, and I can show you why using my own book rather than theory. Start with what actually happened The 30-year Treasury yield touched just above 5.6% on Monday, the highest since June 2002, and the 10-year sits around 5.24%. Now look at what that did to two different things over the last three months. TLT, the long-dated Treasury ETF, is down about 9.5%. QQQ is up about 0.2%. Three months. The bond market has been repriced violently and the Nasdaq has gone sideways — Monday's 0.9% slip in QQQ is

The market has spent years getting used to the idea that interest rates will eventually come down. But what if they don’t come down as quickly as investors expect? That is the scenario I’ve been thinking about lately. A higher-for-longer rate environment changes the investment equation. It doesn’t necessarily mean avoiding stocks altogether. Instead, I think it makes valuation, cash flow, balance-sheet strength and earnings quality much more important. When money is expensive, companies have to work harder to justify aggressive expansion. A business that needs constant access to cheap debt can look very different when financing costs remain elevated. At the same time, companies with strong free cash flow and limited debt have more flexibility. For me, the biggest question isn’t simply: “Wi