To The Moon

$Broadcom(AVGO)$ AI business is getting too big to ignore. AI semiconductor revenue reached $16.7B in Q3, up an incredible 221% YoY and 54% sequentially. Broadcom expects another jump to $21.7B in Q4, up 236% YoY.  But here’s the part I’m watching more closely: Margins. Broadcom’s overall gross margin fell 210 basis points sequentially to 75%, partly because AI semiconductors are becoming a much larger part of the business. AI revenue now represents 56% of total revenue, compared with 49% in Q2.  At first glance, that sounds like a problem. But operating margin tells a different story. It actually increased to 67.9%, up 240 basis points YoY, while non-GAAP EPS nearly doubled to $3.32. So the debate isn’t really whether Broadcom can grow revenue.

$Meta Platforms, Inc.(META)$ gained 3.24% Tuesday, but the interesting part isn’t the daily move. What caught my attention is how much expectation is now being built into Meta’s AI strategy. The company is spending aggressively on data centres, computing power and AI talent while simultaneously trying to keep its core advertising machine growing. That’s a very different investment equation from a company simply adding an AI feature to an existing product. Meta has something valuable that many AI companies don’t: billions of users and a huge advertising business that can potentially benefit from better recommendation systems, targeting and engagement. The challenge is turning that advantage into returns that justify the enormous investment. If AI i

NVIDIA heads into this earnings review with expectations already set at an unusually high level. Consensus in the parameter package points to another quarter of near-triple-digit growth, with revenue forecast at $109.14 billion for the current quarter, up 98.7% year over year, EBIT expected at $71.79 billion, up 99.6% year over year, and EPS projected at 2.476, up 98.1% year over year. Those figures imply investors are not debating whether demand remains strong; they are debating whether growth can stay this elevated while margins remain near prior peaks. The previous quarter established a very strong base, with revenue of $96.22 billion, up 105.9% year over year, and unusually high profitability, including gross margin of 74.98% and net margin of 62.03%. In practical terms, that means the

$Tesla Motors(TSLA)$  Rejected at $385. I knew that level is very strong resistance, so I sold a covered call at $400 expiring this Friday to collect some premium. Hopefully tsla will find some support at current levels, the 50 simple moving average is just below. If there is a bounce I will sell another covered call. Do you think tsla can find support here or will it drop lower?

$INTC 20260930 128.0 CALL$   Buy more More buying 

① What's Happening Today Key Point: Ahead of Micron's Earnings, the Semiconductor Trade Logic Is Shifting from "AI Demand" to "Memory Prices + Supply-Demand Tightness." U.S. equities were mixed yesterday, with QQQ roughly flat and the semiconductor sector up about 1.2%. However, long-end Treasury yields continued climbing, with the 30-year rising to 5.59% — a new high since 2002 — capping broader market valuation expansion. On the AI front, OpenAI DevDay continued to reinforce enterprise Agent commercialization expectations, with AI infrastructure-related names like ORCL and BE strengthening notably. What really needs watching today is Micron's (MU) earnings. The market's focus isn't just on whether this quarter's results beat expectations — more importantly: Whether DRAM/NAND price increa

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