To The Moon

🔥 The Fed Isn’t the Only Thing Driving Yields Treasury buybacks are supposed to help support demand for longer-dated government debt. But this week, something interesting happened: the Treasury bought long-term bonds, yet long-term yields kept climbing. The 10-year yield pushed above 5%, while the 30-year also hit levels not seen in years. That matters for stocks because the 10-year Treasury is basically the benchmark investors use when comparing the potential return from equities. When “risk-free” yields get higher, the math changes. Suddenly, a stock trading at a high valuation has to compete with a much higher return available from government bonds. And that can be particularly uncomfortable for growth stocks, where a lot of the valuation depends on earnings expected years into the futu

Memory stocks had a rough session after the huge run they’ve had. $SanDisk Corp.(SNDK)$  , $SK hynix(SKHY)$   and $Micron Technology(MU)$  all pulled back, which isn’t too surprising after such strong momentum. Rising yields also didn’t help, especially for stocks that have already moved a long way. But now everyone is looking toward Micron’s earnings on Sept 30. That could be the next big test for the whole memory trade. I’m watching a few things: 📌 HBM demand — Are AI customers still locking in supply? 📌 Pricing — Can memory prices keep moving higher without demand starting to crack? 📌 Margins — Strong revenue is great, but

🔥 Muse Isn’t Just an AI Assistant — It Wants a Cut $Meta Platforms, Inc.(META)$   just added an interesting twist to the AI race. At Meta Connect, Zuckerberg said Muse could eventually make money by taking a small fee from transactions it completes for users. The exact fee hasn’t been disclosed yet. Muse is already being connected with services including Expedia, Instacart, Shopify and PayPal.  And this is where it gets interesting for investors. If I ask Muse to find me a flight, order groceries or buy something online, the traditional journey changes: Search → website → browse → checkout could become: Ask Muse → Muse decides → Muse buys That potentially puts Meta between the customer and the company making the sale. Amazon is alr

The answer is C. A new investor who is unfamiliar with margin calls and cannot absorb significant losses. Margin trading can magnify both gains and losses, and a margin call can require additional funds or force positions to be sold.

For $MU, I think the bigger test is whether the numbers show the cycle is translating into sustainable cash generation. I’d be watching free cash flow, capex discipline and how much of future production is already committed. If Micron can grow earnings without having to keep pushing prices higher, that could be a meaningful sign that the current memory cycle has more staying power. 👀

The market pulled back. Palantir didn’t. 👀 Wednesday was a tougher session for U.S. equities, with the Nasdaq falling nearly 1%. Yet Palantir jumped 3.5%. That divergence caught my attention. PLTR has already become one of the market’s most closely watched software names, but the bigger question now is whether its growth story can continue to justify the attention — and the valuation that comes with it. What I’m watching: 📊 Commercial growth 🏢 Expansion beyond government contracts 🤖 Demand for AI-powered software 💰 Margin and cash-flow performance 📈 Can the company keep delivering growth at scale? The interesting setup isn’t simply “PLTR went up today.” It’s this: When the broader market weakens, which stocks continue to attract buyers? PLTR just gave investors something to watch. Would yo

🔥 STOCK OF THE DAY | $NN Inc(NNBR)$   The small-cap nobody was watching just raised guidance. 👀 While everyone is chasing mega-cap tech, NNBR quietly delivered something investors like to see: higher full-year 2026 guidance. The company now expects: 📈 Revenue: $470M–$490M 💰 Adjusted EBITDA: $58M–$68M The midpoint of those ranges implies roughly 14% higher revenue and 29% higher EBITDA versus 2025.  And the market noticed. NNBR jumped roughly 14% in the latest session, with volume running well above normal.  What makes this interesting isn’t simply the one-day move. It’s the potential combination of: • improving operating performance • higher management expectations • expanding profitability • small-cap valuation • renewed investor

$Alibaba(BABA)$  isn’t just building an AI model. It’s building the chip, the cloud infrastructure and the models around it. The company just unveiled its Zhenwu V900 AI accelerator, which Alibaba says delivers 3× the performance of its previous generation and can be connected in clusters of up to 500,000 chips. Then came the bigger ambition: Qwen 4 is already in training, with future models targeted at 5–10 trillion parameters. And Alibaba wants more than 20GW of global data-centre capacity by 2032. That makes this bigger than one new chip. It’s a bet on owning the entire AI stack. For $NVIDIA(NVDA)$  , the interesting question isn’t whether Alibaba suddenly replaces it globally. It’s

Interesting how quickly the market is reacting to the AI disruption narrative. Muse still has a lot to prove, so I’m watching the execution rather than the headlines.

While the market keeps chasing the biggest moves, I’m looking at something much less exciting: the companies people still need regardless of what the Nasdaq is doing. Today brings earnings from names like $Cintas(CTAS)$  , $Paychex(PAYX)$   and $General Mills(GIS)$  . $Costco(COST)$   follows tomorrow. That matters because these companies give investors a different read on the economy. Are businesses still spending? Are consumers still buying? Can companies protect margins when costs remain elevated? And perhaps most importantly — is the strength in the stock market actual