To The Moon

XRP’s latest surge has reignited the usual crypto shouting match, which tells me one thing straight away: something practical is happening beneath the noise. When an asset that half the market loves to hate starts rallying without a catchy narrative or a celebrity mascot, it is rarely an accident. XRP’s move feels less like a speculative sugar rush and more like a response to pressure building in the real financial system, particularly where that system is weakest. XRP moves quietly where traditional finance struggles to keep pace At around $2.34, XRP is up sharply on the day, carrying a market capitalisation close to $142 billion and daily trading volume pushing $8 billion. This is not a thin, excitable market. It is deep, liquid and being actively repositioned. The interesting question i

When the Miss Matters Less: Why Tesla’s Delivery Shortfall Sparked a Relief Rally Tesla’s fourth-quarter delivery miss should have rattled the market. Deliveries came in below expectations, full-year volumes fell year on year, and the numbers confirmed what many feared: growth has slowed. Yet the stock rose in pre-market trading. I don’t see this as investors applauding weaker demand. I see it as something far more revealing. The market was not celebrating bad news; it was relieved that the bad news was finally finite. For months, $Tesla Motors(TSLA)$ existed in anticipatory dread. Expectations slid, revisions accumulated, and delivery anxiety dominated. By the time the figures arrived, investors were no longer asking whether Tesla would miss, but

From Search Queries to Self-Learning Systems Baidu’s recent 9% surge has been treated as a feel-good rally in a battered China tech name. I think that misses the point. The market continues to value $BIDU-SW(09888)$ as a search engine with advertising ambition, yet the company is quietly building something far more ambitious: a self-reinforcing machine that learns from the real world, improves itself, and then sells that intelligence back to everyone else. Baidu transforms data into a self-learning AI machine The most underappreciated piece of this puzzle is Apollo. Few investors realise that even if robotaxis themselves never turn a profit, the data they generate may already be paying dividends by improving Baidu’s AI models and infrastructure.

From Moonshots to Margins: Why Meta’s Next Rally Is About Capital Discipline, Not the Metaverse For years, owning $Meta Platforms, Inc.(META)$ has required a strong stomach and an even stronger imagination. I have watched the company oscillate between operational brilliance and strategic excess, often within the same earnings call. The reported plan to cut the metaverse division’s 2026 budget by as much as 30% feels like a genuine inflection point—not because it flatters near-term earnings, but because it signals something more important: a renewed commitment to capital discipline over corporate theatre. The market’s reaction to Meta’s most recent earnings was swift and unforgiving, leaving behind a visible earnings gap and reviving talk of whethe

CES used to be where we pretended to care about smart refrigerators. Now it’s where Nvidia and AMD duke it out to see who gets to power the robot that might replace your job—or at least the one you didn’t want anyway. This year, I’m less interested in marginal GPU gains and more focused on whether these chip titans can convincingly present themselves as robotics platforms rather than pure AI silicon vendors. If robotics is the next stock engine, it will look very different from the last one. AI is leaving the cloud and learning to lift real weight When Compute Leaves the Cloud The first structural shift investors often underestimate is how robotics changes the AI compute demand profile. Data-centre spending remains lucrative but cyclical, tied to hyperscaler budgets. Robotics flips that mo

Applied Digital’s share price does not do understatement. With a five-year beta north of seven, this is a stock that treats volatility less as a feature and more as a calling card. Yet focusing solely on price swings, or even the eye-catching contract backlog, misses what I see as the real value multiplier here. The core opportunity is not simply how many megawatts $APPLIED DIGITAL CORP(APLD)$ can promise, but how effectively it converts contractual certainty into immediate build-ready capital. In an industry throttled by development bottlenecks, that is a rare and underappreciated advantage. Where contracts turn into capital before the concrete even sets Most commentary frames Applied Digital as a leveraged bet on AI data centre demand. In my vie

Sandisk’s elevation to market superstardom has been so abrupt that I half-expected someone to quietly admit they’d uploaded the wrong ticker. A 513% year-to-date return, a near-vertical three-month rally, and the red carpet rolled out for S&P 500 admission — it’s all very glamorous. But as investors cheer its coronation, I find myself more interested in what happens when the music stops, the lights come back on, and the industry returns to something resembling normality. That, in my view, is when we find out whether Sandisk is a genuine AI-era heavyweight or simply the accidental beneficiary of a very tight NAND market and a lot of index-driven enthusiasm. Sandisk surges as AI demands push storage into overdrive Margins Rebound — Real, But Fragile Sandisk’s margin improvement has been

A company minting money at Ferrari speed while being priced as if it’s due for retirement. $Tencent Holding Ltd.(TCEHY)$ continues to present one of the most entertaining mismatches between perception and reality in global tech. The market clings to a narrative of a fatigued Chinese conglomerate, yet the numbers depict a company in full command of its cash engine and quietly reorienting itself toward higher-margin, lower-regulation business lines. This isn’t a repair job. It’s a deliberate strategic shift carried out by a business that was already functioning beautifully. A giant quietly reshaping itself beneath the market’s gaze Valuation, Cash Flow, and the Persistent Mispricing Problem The latest million-share buyback on 26 November adds anoth

From Pandemic Pin-Up to Profit Powerhouse Zoom just reported 196% earnings growth on 4.4% revenue growth—and the market barely blinked. Only in tech could a company multiply its profits almost threefold and still be treated like yesterday’s novelty item. But beneath the market’s aloof shrug lies one of the most dramatic and, dare I say, underrated corporate evolutions of the post-pandemic era. Reinvention begins quietly, then reshapes everything beneath the surface Rather than chasing its former hyper-growth identity, $Zoom(ZM)$ has reimagined itself as something more stable, more efficient, and frankly more investable. The top line may now grow at a leisurely 4.4%, yet the company has become a masterclass in translating incremental revenue into out

If the last decade of tech was defined by who could build the biggest data centres, the next decade will be defined by who can run the most intelligence for the least money. And on that measure, I’m increasingly convinced $Alphabet(GOOGL)$ has engineered a structural advantage the market still only half understands. While competitors parade models like catwalk fashion, Alphabet has been busy constructing an AI machine room where it owns—and optimises—every wrench, cog, wire and circuit. In an industry finally waking up to the economics of inference efficiency, this matters immensely. What makes Alphabet interesting isn’t simply that it’s enormous. It’s that its vastness is now cohering into an economic engine: models designed for its own silicon,