To The Moon

Nvidia’s guidance changes the AI conversation from “future potential” to visible, accelerating demand. A $108B Q3 revenue outlook, alongside surging data-center sales, suggests hyperscaler capex still has plenty of fuel. I’m therefore more constructive on AI hardware into September—but I wouldn’t chase blindly. Rising memory costs and Nvidia’s projected margin compression show that even winners are starting to face capacity constraints and higher input costs. For valuations, I’d still put AI capex ahead of Fed policy in the near term. A hawkish Jackson Hole could trigger volatility, but if AI spending continues compounding, strong earnings can ultimately overpower higher-rate pressure. As for Meta and Snap, I think regulatory risk is becoming a structural theme rather than a one-off. Teen

Moderna (NASDAQ: MRNA) is showing a potentially significant bullish reversal setup on the weekly chart, with the long-term Elliott Wave structure suggesting that a major corrective phase may have ended and a new impulsive advance could be underway. The stock experienced a substantial decline after completing a cycle-degree wave I near the 2021 peak. This was followed by a complex and extended corrective structure that lasted several years. According to the current Elliott Wave count, that correction appears to have completed with wave II near the 2025–2026 lows, around the $20 area. The chart marks the long-term invalidation level at $11.54, keeping the bullish scenario valid as long as price remains above this level. Following the completion of wave II, Moderna has shown a strong recovery

I’m leaning bullish on the AI memory super cycle. AI data-center demand is structurally different from the traditional PC and smartphone-driven cycles, while memory supply remains relatively constrained, which could keep pricing and earnings stronger for longer. I also see the bigger shareholder returns from $SK hynix(SKHY)$ and Samsung as a positive. Buybacks, cancellations and higher dividends give investors a more direct share of the AI-driven cash flow, potentially making these stocks more attractive even after their recent volatility. For me, the key is whether AI demand continues growing fast enough to absorb new capacity. If it does, I think SK Hynix remains one of the more compelling ways to play the AI memory boom.

I’m bullish on copper’s long-term story, especially with AI data centers, power grids and electrification driving structural demand. Unlike a purely cyclical trade, these infrastructure trends could keep copper demand elevated for years. If I had to choose one approach, I’d go with $Global X Copper Miners ETF(COPX)$ . I prefer getting exposure through copper miners because rising copper prices can translate into stronger margins and potentially amplify the upside, although I’m aware of the added operational and geopolitical risks. For me, the biggest risks are China’s demand and whether new supply comes online faster than expected. But if supply remains tight w

I’m still bullish on gold because this rally looks increasingly structural rather than purely speculative. Central-bank buying, ETF inflows and strong physical demand are all supporting the market, while concerns over debt and currency debasement provide a longer-term tailwind. If I had to choose one vehicle, I’d go with $SPDR Gold MiniShares Trust(GLDM)$ for its low 0.10% expense ratio and straightforward exposure to physical gold. I prefer it for long-term holding rather than paying extra

I’m more bullish on AI hardware after Nvidia’s $NVIDIA(NVDA)$ results. The stronger-than-expected guidance confirms that AI capex remains powerful, although I’ll be watching memory costs and margin pressure closely. For $Meta Platforms, Inc.(META)$ and $Snap Inc(SNAP)$ , I think the regulatory pressure is becoming a broader theme rather than a one-off. Teen-safety rules and lawsuits could create higher costs and uncertainty across the social-media sector. For tech valuations, I’d say AI capex momentum matters more right now. As long as hyperscalers keep spending aggressively, strong earnings growth can help offset some pressure from higher-for-longer rates. I

There are 2 camps of $Meta Platforms, Inc.(META)$ .  Camp A is the wait & see skeptics.  This camp is terrified of the velocity of Meta's cash burn. To them, buying Meta now is to chase a Capex bubble. Camp B:  The Bargain Hunters.  This is my tribe.  We look at the pullback & see a golden opportunity.  Why? Meta is the cheapest of the Mag7 with forward P/E ratio of 17.2x.  In contrast Tesla is 95x. Wall Street is pricing Meta like a slow growth legacy utility company, while its platforms are generating double digit revenue growth. Meta's AI already has over 3 billion daily active users.  Meta's advanced AI models are optimising ad targeting in real time, boosting aggregate ad revenue. By making Ll

I think the biggest change in the software narrative is that AI is no longer automatically viewed as a threat. Salesforce and CrowdStrike are showing that companies with proprietary data and deeply embedded workflows can monetize AI and potentially increase the value of their platforms. Personally, I’m most interested in Salesforce & $ServiceNow(NOW)$ because their AI agents are being integrated into enterprise workflows, creating opportunities to charge for agents, tasks and usage instead of just user seats. Microsoft remains a strong contender, but the key is whether AI translates into higher contract values and recurring cash flow. For me, the next few quar

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