Few stocks have ever risen as violently. Since its Hong Kong IPO in June 2024 at HK$40.50, Laopu’s shares climbed almost without pause, peaking near HK1000 in July 2025, a gain of roughly 25x, or more than 2300,% in barely a year. At the height it ranked among the best-performing stocks in the world, and the market treated heritage gold as an unstoppable structural story capable of absorbing any amount of expansion. The idea that the shares could fall meaningfully felt almost unthinkable. Despite this explosive growth, the stock experienced a substantial correction. The reason was not deteriorating demand but concerns surrounding capital intensity and balance sheet risk. To support rapid expansion and meet strong consumer demand, inventories surged dramatically, forcing the company to tie

The road to the Iran peace deal was an edgy affair that dragged on for months. The ceasefire that began back in April was only a temporary truce to give negotiations room to breathe, not peace itself. And even during that truce, there were enough sparks to derail the talks. Israel struck Lebanon, the US kept its naval blockade on Iran’s ports, missiles were still flying, and Trump pressured about attacking Iran. Messy. I’ll be honest, the timing made me raise an eyebrow. That recovery came right before Pakistani Prime Minister Shehbaz Sharif, acting as lead mediator, announced that the US and Iran had agreed on the final text to end the war. Insider trading? I’m not saying that. But the sequence was convenient. Stocks pushed higher into 12 June, the day SpaceX made its blockbuster debut. P

On 2 March 2026, Nvidia announced a $4 billion combined investment in Coherent and Lumentum. The investment was split right down the middle, with $2 billion going to each. In early May 2026 (6 May), Nvidia made a $500 million strategic investment in Corning, structured as warrants. On top of that upfront $500 million, Nvidia also holds a warrant to buy up to 15 million shares at an exercise price of $180. If it eventually exercises everything, its total potential stake could reach around $3.2 billion. The partnership is a strategic supply-chain move. In exchange, Corning committed to expanding its U.S. optical fiber production capacity by more than 50% (and its broader optical-connectivity capacity tenfold), building three new U.S. plants to directly feed Nvidia’s AI ecosystem. Nvidia is b

Adidas came back swinging as a kit sponsor. It has the most teams in the tournament, dressing 14 countries. More countries means more jerseys to sell to supporters, and the more the merrier, especially for crowd favourites like reigning champion Argentina and World Cup hopeful Spain. The picture was completely different in World Cup 2022, when Nike sponsored the most teams and Adidas came in second. So Adidas has wrestled the throne away for 2026. And let’s not forget that Adidas has supplied the official match ball for every World Cup since 1970. So it’s likely Adidas’s revenue gets a bigger bump than the other two this year. Investors seem to have already taken note. Adidas stock has jumped about 19% over the past month. Nike and Puma haven’t come close, up about 4% over the same period.

Plenty of theories are floating around. Some point to the strong jobs report, since fewer rate cuts expected means less fuel for risk assets. Others say the mega IPOs of SpaceX, Anthropic, and OpenAI are pulling capital away from existing stocks into shiny new plays. Truth is, no one really knows. And frankly, it doesn’t matter why.What matters is answering two questions. Should you sell? Or is this a dip worth buying? There’s no one-size-fits-all answer here. But let me paint a few scenarios and you can see which one fits you closest. That was the day the market handed out the bill. Looking at the top losers among S&P 500 constituents, the pattern was unmistakable. Last month’s biggest winners became the day’s biggest losers. Thirteen constituents dropped more than 10% in a single ses

That said, don’t rely on technical analysis alone unless you have a clear entry and exit plan with proper risk management. Buying on Stage 2 without knowing when to sell is still risky as stocks in Stage 2 can roll over into Stage 4 when the rebound fizzles LVMH stands as the largest luxury conglomerate globally, renowned primarily for its iconic label, Louis Vuitton. However, its expansive portfolio extends across various domains, encompassing fashion, leather goods, watches, jewelry, wines, spirits, fragrances, and cosmetics. With an impressive collection of 75 distinct brands, many of which are likely to be instantly recognizable to you: However, following reports of a slowdown in China and lackluster sales in the United States, LVMH's stock price has declined by approximately 21% from

I hope you can see that technical analysis is helpful, especially for timing entries on stocks that are bottoming. Here’s the dilemma every value investor faces: a software stock might be undervalued at $100. Do you buy at $50? At $20? Both are undervalued. But if the stock continues falling to $10, even buying at $20 yields a 50% loss and feels expensive in hindsight. Stage Analysis helps you avoid this trap by waiting for price confirmation before committing. Some will argue that by the time Stage 2 begins, the price is already much higher. True. But the trade-off is that you’re buying with more certainty and not catching a falling knife without knowing where the bottom is. The cost of not waiting can be far greater losses. That said, don’t rely on technical analysis alone unless you hav

Memory prices are sky-high. Conventional wisdom says computer makers like Dell get squeezed, with margins taking the hit. But the opposite happened. Dell just posted record revenue, and profit grew 282% year-on-year in the latest quarter. The stock leapt 32% in a single day after the release. That was its best day on record. Dell has two businesses. One makes computers and sells them at retail. The other sells to data-center clients, or enterprises in other words. And it’s the AI server side that’s on fire. You can’t just have GPUs. You need the computers to house them. So the demand grows together. Dell’s AI-Optimized Servers revenue was up a staggering 757% year-on-year. That’s the engine behind the growth. As for those high memory prices? Dell is simply passing the cost increase down to

About two years ago, I called Nvidia overvalued. Investors were clamoring over the stock, and it went on to become the most valuable company in the world. All along, my instinct has been to get wary when everyone is singing a stock’s praises and buying it hand over fist. That caution has saved me countless times from getting swept into the speculation. Staying out of the herd has been useful. A recent example: in December 2025, I sold platinum into the gold and precious-metals craze ther than buying it. I still remember the queues snaking outside the shops. That was the contrarian in me talking. And I think a lot of investors are running that same contrarian instinct on the memory stocks today. But here’s the thing. Two years on, Nvidia didn’t crash. It broke $5T and stayed the most valuab

Nvidia is the obvious example. It used to be a gaming company with a brief moment of fame during the crypto-mining boom. Cyclical at best. In 2022, revenue jumped 61% year on year; in 2023, it decelerated to just 0.2% growth. Then AI demand sent its revenue and profits, and the share price, to the sky. Revenue doubled in FY24 and again in FY25. Even in FY26 it grew 65% year on year, which is phenomenal at that size. That is what a business inflection point looks like. And this kind of sudden, fundamental change is exactly what most investors struggle to wrap their heads around. We’re talking about a real, significant leap in the business itself, not just the share price. Most investors are trained to analyze steadily growing companies and extrapolate historical trends. That’s why they keep

Tesla needs AI for autonomous driving, robotaxi dispatch, Optimus robots, manufacturing automation, and service diagnostics. SpaceX needs AI for rocket design simulation, Starlink routing optimisation, factory automation, and anomaly detection. Tesla’s Megapacks can support SpaceX launch sites, Starlink ground stations, xAI data centres, and high-power factory operations. This is already happening. SpaceX and xAI reportedly bought hundreds of millions of dollars of Tesla Megapacks in 2024–2026. This is one of the clearest synergies as SpaceX needs resilient power, while Tesla Energy needs large industrial customers. The common layer is compute, data centres, AI talent, chips, models, and internal tools. Reporting has also flagged collaborations involving Tesla’s voice assistant, chip facto

There are plenty of less obvious synergies if SpaceX and Tesla were one company. Data is one. Between them, they have access to many kinds of data Tesla vehicles generate mobility, road, and environment data like starlink provides connectivity and network-performance data and space X  has aerospace telemetry and operation data Their factories generate robotics and manufacturing data , this can improve AI systems for autonomy, logistics, network optimisation, and robotics Together, they can secure better supplier terms, priority access, and deeper supplier relationships. Talent. They can attract an elite engineering pool, and culture and talent can move across the system, between rockets, AI, robots, and energy. And imagine a disaster area where roads, power, and communications are all

So how do you identify sustainable growth? Buffett looks for businesses with durable competitive advantages—companies that competitors can't easily chip away at. If he doesn’t have a high degree of confidence that a company will be significantly larger in the future, he won’t buy—even if it looks cheap. Aside from the popular MOAT ETF, another ETF that reflects Buffett’s philosophy is the Dividend Aristocrats. These are companies that have raised dividends for at least 25 consecutive years. To do that, the  business must be growing steadily. But my issue with Dividend Aristocrats is that most of the companies grow slowly—usually in the single digits. Consistency is good, but consistent growth in the 10–15% range over decades is even better. That’s the sweet spot. Also, not all great g

Meta went public at US$38 per share, raising over US$16 billion. However, the social media giant’s honeymoon period didn’t last long, and the stock struggled almost immediately.By early September 2012, less than three months after listing, the stock price had declined to less than half its IPO price, at a low of US$17.55. If you bought US$10,000 worth of Meta stocks at the IPO price of US$38 per share, you would’ve secured around 263 shares. With the stock now trading at US$614.23 per share, that initial US$10,000 would be worth approximately US$161,500 today, just based on capital appreciation. Moreover, the tech giant declared its first dividend on 1 February 2024.With a current dividend yield of 0.34%, your cumulative dividend would amount to roughly US$1,216, bringing the total investm

TOTO is one of the top producers of electrostatic chucks used in NAND memory production. You guessed it. The boom in memory prices and shortages, driven by AI data centres stockpiling storage, has brought loads of business to TOTO. They don’t sell these to Samsung or SK Hynix directly. Instead, TOTO is reportedly a dominant supplier to Lam Research, whose cryogenic etching machines are then used by every major NAND maker including Samsung, SK Hynix, Micron, Kioxia, and YMTC, to carve channel holes through 200+ layer 3D NAND chips It comes down to ceramics. TOTO has been making advanced ceramic parts for over 40 years — and it turns out, those same ceramic capabilities translate into electrostatic chucks, the precision plates that hold silicon wafers in place during chip manufacturing. In o

Tencent’s first-quarter 2026 results show a company in transition. Its core business is still highly profitable and generates strong cash flow. At the same time, it is making an aggressive push into artificial intelligence. This pivot has yet to be proven. Tencent continues to position AI as its next major growth driver. But execution is still a work in progress. The launch of the Hy3 preview large language model is a sign of progress in its in-house capabilities. A revamped AI infrastructure supports this. Even so, Tencent trails its domestic peers. Alibaba Group and ByteDance are ahead. Global leaders like Microsoft and Alphabet are further ahead still, both in frontier model performance and ecosystem scale. Tencent’s hybrid approach uses both proprietary models and external partners lik

Modern GPUs can crunch numbers much faster than standard memory can feed them. If the data transfer rate is too slow, an incredibly expensive GPU sits idle, waiting for information. High Bandwidth Memory (HBM) solves this by stacking DRAM chips vertically and connecting them directly to the processor via a microscopic highway, delivering terabytes of data per second. Without HBM, scaling frontier AI models is physically and economically impossible. Memory is the bottleneck in AI right now. As AI models have grown exponentially—moving from training to continuous, high-context inference and multi-step agentic reasoning—the constraint has shifted from processing data (compute) to moving data (memory bandwidth). And supply is short. Producing HBM requires roughly three times the wafer capacity

SanDisk (SNDK) tops the S&P 500 for the highest return in 2026 YTD. The stock was already the best performer in 2025, and it has continued this year. We’re only four months in, and it’s already more than tripled. SanDisk was a spinoff from Western Digital just last year. It was loss-making initially, but Q3 FY2026 saw net profits soar to $3.6 billion. Revenue was up 251% year-on-year. From zero to hero, quite literally. Western Digital reported 45% revenue growth year-on-year. But what’s more impressive is that its gross margin expanded 10 percentage points—from 40.1% in Q3 FY2025 to 50.5% in Q3 FY2026. That’s a sign WDC is raising prices as it sells more storage. Supply shortages are driving up prices, and these companies are the direct beneficiaries. Finally with AI, cloud growth exp

i start with  AI, cloud growth exploded. Q1 2026 year-on-year revenue growth nearly doubled to 63%. Gemini Enterprise—the stickier corporate customers—grew 40% quarter-on-quarter. That’s more than 200% annualized. Another proof point of surging AI demand: token usage grew 60% QoQ, or 555% annualized. As for Amazon and Microsoft, both saw strong cloud growth too—albeit slower than Google Cloud’s rate, though off a larger revenue base. AWS and Azure reported 28% and 40% year-on-year growth respectively And the AI CAPEX isn’t slowing down—it’s accelerating. The initial $600 billion industry projection has now been revised upward to $700 billion by 2027. AI remains firmly in the spotlight—and even as estimates and expectations have risen, many AI-related stocks managed to surpass them. Th

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