To The Moon

For me, A. Spot Bitcoin ETFs: $iShares Bitcoin Trust(IBIT)$ , $Fidelity Wise Origin Bitcoin Fund(FBTC)$ is the most attractive option right now. I prefer direct Bitcoin exposure because the recent rally is being supported by actual ETF inflows, a weaker dollar and improving regulatory expectations, without taking on the additional operational or leverage risks of miners or $MicroStrategy(MSTR)$ . I also l

My pick is Nvidia. Thursday finally broke its four-quarter post-earnings losing streak, with NVDA +8.74%, backed by revenue more than doubling YoY and a supply-constrained FY28 outlook. That looks more durable than simply catching a sector re-rating. Software is the more interesting tactical trade. Salesforce +22.58%, CrowdStrike +20.50% and Okta +28.63% showed that AI may expand enterprise software demand rather than destroy SaaS. Salesforce’s AI-related ARR reached $3.9bn, while CrowdStrike is seeing AI expand both cyber threats and security spending. But after 20–29% one-day gaps, I would not chase immediately. So: NVDA for conviction, software on a pullback, and Intel/Broadcom only as secondary catch-up trades. The key question now is whether software can hold Thursday’s gains once the

Two strong earnings reports, yet two completely different stock reactions. That’s not contradictory—it’s the market pricing expectations. NVIDIA delivered $96.2B in revenue, up 106% YoY, with data-center revenue surging 117%. The numbers were already enormous, but Jensen Huang’s comments on accelerating AI demand and the longer-term growth outlook gave investors a reason to raise their expectations again. Marvell was different. Revenue reached a record $2.74B, up 37%, data center grew 46%, and FY2027/FY2028 targets were raised. Fundamentally, little went wrong. The problem was that investors had already priced in a much bigger Google-driven upside. The lesson is simple: stocks don’t trade on results alone. They trade on the gap between reality and expectations. Sometimes great earnings ra

Iggy's Journal: Frencken Falls 8% After a S$100 Million Placement 28 August 2026, PM News: Frencken (E28) fell as much as 8.3% on Friday after proposing a S$100 million share placement, Business Times reported (Shikhar Gupta, 28 August 2026). It opened as low as S$2.33, down S$0.21 from Tuesday's close of S$2.54. Trading was halted on Wednesday and Thursday. The placement is 44.1 million new shares at S$2.2687, a 10% discount to the 25 August volume-weighted average price of S$2.5207, placed privately with institutional and accredited investors. That is about 10.3% of existing issued shares, and 9.3% of the enlarged base after completion. BT (Young Zhan Heng, 27 August 2026) said completion is expected on 3 September. The company said the raise is to fund expansion in manufacturing, m

What stands out to me is that NVIDIA and Marvell both delivered strong results, but the market was trading expectations, not just earnings. NVIDIA initially dipped because huge beats had become the norm, but Jensen Huang's comments on accelerating AI demand, Rubin production and long-term growth gave investors a reason to reprice the stock higher. For Marvell, expectations had already become extremely high after the Google custom-silicon deal and its huge YTD rally. The fundamentals remain strong, but investors learned that the bigger Google revenue contribution may take longer to materialize, so the market reset its timeline and valuation. My takeaway is simple: earnings are about the gap between reality and expectations. NVIDIA raised expectations for the future, while Marvell pushed so

🌟🌟🌟 $Marvell Technology(MRVL)$ vs $Affirm Holdings, Inc.(AFRM)$ which is a better stock to invest?  While Affirm has just posted its most profitable quarter in corporate history, sending its stock soaring, my capital is firmly staying with Marvell. Backing Affirm means you are making a bet on the resilience of modern consumer's shopping habits.  You believe that everyday shoppers will continue to use Buy Now Pay Later to finance their lifestyle habits. But backing Marvell? You are betting on the fundamental physics of global computing. Marvell design the ultra complex electro optics & custom ASICs required to link thousands of GPUs together into a single cohesive supercomputer. While consu

I really like Jeremy’s “Old Testament vs. New Testament” analogy. Graham gives us the foundation—valuation and margin of safety—while Buffett shows why owning great businesses with strong moats can be even more powerful. The $BYD COMPANY(01211)$ example stood out to me. Long-term investing requires patience and conviction, especially when the market hasn’t fully recognised a company’s potential. Position sizing also matters because even a great thesis can hurt if the position is too large. My biggest takeaway is to treat every stock as owning part of a real business. If I couldn’t sell a stock for three years, I’d want to be confident in its moat, management

I really like Jeremy’s point that retail investors have an “invisible superpower” — our industry knowledge and everyday observations. We may not have the resources of fund managers, but we can spot changes in consumer behaviour, products and businesses before they show up in the numbers. The Pop Mart, Haidilao and PDD examples stood out to me. I also like using stage analysis as a co-pilot rather than relying on charts alone. For me, the sweet spot is when strong fundamentals, improving business momentum and technical strength all start pointing in the same direction. My biggest takeaway is to pay more attention to what I see around me. A longer queue, a new product trend or a company suddenly expanding into a new market could be an early signal. The challenge is turning those observation

🌟🌟🌟3 months ago, analysts were writing obituaries for $Salesforce.com(CRM)$ .  Today the same analysts realise something fundamental about AI: that its models are just expensive brains but Salesforce owns the literal nervous system of global business. Instead of destroying Salesforce, AI has become its ultimate growth catalyst. Agentforce is a platform where companies deploy autonomous AI agents to handle real world customer service, sales operations & logistics. Salesforce has turned AI into a high margin, predictable cash printing machine. To add an extra spice to the balance sheet, Salesforce has recorded a huge USD 2.6 billion investment gain thanks to its early stake in AI pioneer Anthropic. My capital is firmly in the camp of joini