To The Moon

April Closed Strong. Most Of It Wasn't Me. Mathematical Money | May 2, 2026 April was the best month this account has had in a long time. Almost 30% on the month. Before anyone DMs asking what I bought — slow down. This is not a "look how clever I am" post. The opposite. I want to walk through this honestly, because if I let a headline percentage stand by itself, half of you will read it wrong and the other half will assume the entire thing came from some kind of genius call. Neither is true. Let me decompose it. Where The Money Actually Came From MARA stock recovery did the bulk of the work. On April 1 the stock was around $8.86. On April 30 it closed at $11.99. That's a 35% recovery in a single month on a position I was already holding. The vast majority of the month's gain — roughly 85%

April’s surge is powerful, but a +10.4% monthly gain for the S&P 500 and +14.8% for the Nasdaq Composite also raises the odds of near-term consolidation. My view: Will the bull run continue in May? Likely yes, but choppier. Momentum, AI capex visibility, and resilient earnings remain supportive. However, after such a steep vertical move, markets often rotate rather than move straight up. Chase or wait? Prefer selective buying on pullbacks (3 to 7%), rather than chasing broad index highs. Risk/reward is less attractive after a euphoric run. Which sector catches up? 1. Financials, especially quality banks if rates stay elevated 2. Healthcare, lagging but defensive growth looks attractive 3. Industrials / power infrastructure, key beneficiaries of AI buildout (grid, cooling, electrical eq

The chart from Crescat shows analyst estimates for the next-4Q rolling FCF of AI hyperscalers (MSFT, AMZN, GOOGL, META, ORCL) rising for years but now plunging sharply into 2026—with Oracle flipping negative and combined FCF collapsing. Implication: Massive AI capex is projected to outrun revenue growth, squeezing cash flows hard. This divergence from the rising S&P 500 flags valuation risk and potential margin pressure in big tech despite the hype. Estimates can shift, but it's a clear "race to the bottom" warning on profitability. Source is from Crescent Capital. (The above from Grok.) $Apple(AAPL)$ $Microsoft(MSFT)$ $Alphabet(GOOG)$

🌟🌟USD 725 billion spending spree: Who is actually getting rich while Big Tech spends: The Silicon Kings : $NVIDIA(NVDA)$ $Taiwan Semiconductor Manufacturing(TSM)$ $Broadcom(AVGO)$ are the 3 winners.  Every dollar Big Tech spends goes to these 3 companies. Nvidia is no longer just selling chips.  It is selling AI factories. At March 2026 GTC, CEO Jensen Huang unveiled the Vera Rubin platform.  This isn't just a GPU.  It is a vertically integrated system of 7 new chips designed to act as a single supercomputer. Broadcom:  It is the King of connectivity & custom silicon.  As AI clusters scale to millions of chips, the bottleneck

I see this as temporary only. Many individuals and companies are starting to see the potential of AI and many are jumping onto the bandwagon. While AI is promising, none has set done to carefully calculate the cost of it. AI is not free and could be more expensive than the exact manpower savings that it boost of. Who is studying the balance sheets? This supply constraint is driven in part by hype and fomo-mindset. When the dust settles, capex has to come down. Also, even with more use cases, there will also be more competition and this will further drive prices and capex down. We are seeing this with Nvidia already. It is impossible for any of these AI companies to charge at a premium forever. I do see the capex coming down within 2 to 3 years. All is good while the music lasts. These comp

Caught good catch and ready for good harvesting. Thank you @koolgal for invitation 😘 thank you @Tiger_comments for the event. @TigerClub @TigerStars @CaptainTiger @MillionaireTiger Join in the fun @Terra_Incognita @Emotional Investor @GoodLife99

From my perspective, this rally is more than just earnings — it confirms AI demand is still strong and supply-constrained. $Alphabet(GOOGL)$ Cloud surge and solid results from $Amazon.com(AMZN)$ and $Apple(AAPL)$ show hyperscalers aren’t slowing, just reallocating capital more efficiently. On capex, I don’t see a bubble — I see barriers forming. Despite concerns around $Meta Platforms, Inc.(META)$ and $Microsoft(MSFT)$ , the key takeaway is unchanged: demand exceeds supply, and constraints are real, not cyclical excess. To me, this looks like early-stage infrastructure

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

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

$Sembcorp Ind(U96.SI)$    Sembcorp Ind - Chart wise, looks like the simple moving average indicator has started to turning down, doesnt look good! She may go down to test 6.32. If unable to hold , she may go further downward to test 6.00 and below. XD 6th May 16 cents dividend. Do take note! Pls dyodd. 

$UIBREIT(UIBU.SI)$    UIBREIT - She is slowly recovering since IPO. Now trading at 84.5 cents, UOB KH upgrade to Buy with TP 1.16. IPO was 88 cents. Still need a few more cents to breakeven. Jia You! Projecting yield is about 8.2%. Likely see some buying interest. I think the assets are mostly located in Singapore, quite resilient plus no currency exchange issue. The other assets are located in Japan, need to monitor. Don't know when can payout first dividend. Yearly dividend is about 6.5-6.8 cents. Pls dyodd. 

My take: bull trend intact, but May may turn choppier. The bullish case remains strong: AI capex is real, hyperscaler spending is accelerating, and earnings from GOOG, AMZN and MSFT continue to validate infrastructure demand. That supports semis, memory and data centre supply chains. But narrow breadth is a warning sign. If leadership gets crowded, even strong markets can see a healthy 5 to 10% reset. Would I chase? Not aggressively at highs. I would scale in on dips rather than FOMO buy breakouts. Catch-up sectors: 1. MU / storage 2. VRT / power-cooling infra 3. Industrials tied to grid upgrades 4. Select software names that monetise AI, not just spend on it My base case: higher by year-end, bumpier in May.

Breadth narrowing is a warning sign, but not an immediate sell signal. With ~$725B in committed AI capex, strong hyperscaler earnings, and supply bottlenecks in memory, power and cooling, the structural bull case remains intact. My take: bull run likely continues into May, but leadership broadens and volatility rises. I would not chase index highs here. Prefer buying pullbacks or rotating into laggards. Catch-up sectors: • Utilities / power infrastructure, the hidden AI backbone • Industrials, cooling, electrical equipment, grid upgrades • Healthcare, defensive growth at better valuations • Financials, if rates stay higher for longer • Selective small caps, if breadth expands again Mega-cap AI still leads, but second-order beneficiaries may offer better risk/reward now. The next leg up ma

Advanced Micro Devices is approaching a pivotal print. Bull case: • MI300X / MI350 revenue guidance could confirm AMD is becoming a genuine second source for AI compute, not merely a niche alternative to NVIDIA. • If management signals sustained hyperscaler adoption, the market may start valuing AMD more like an AI infrastructure compounder than a cyclical chipmaker. • Commercial traction, including ecosystem monetisation, strengthens the narrative that AMD’s AI stack is broadening. Risk case: • Expectations are elevated. A beat may already be priced in. • Hyperscaler in-house silicon caps long-term upside multiple expansion. • Gross margin guidance matters. Strong revenue with weaker profitability could trigger a classic sell-the-news move. My view: Near term, sell-the-news risk is real,