To The Moon

If the goal is to use the three Singapore banks as a long-term financial-freedom tool, the key idea is not that 100 shares of each will make you financially free immediately. Rather, it creates a starting income-producing portfolio that can be expanded over time. Using recent September 2026 prices of roughly S$78.17 for DBS, S$31.88 for OCBC and S$41.56 for UOB, 100 shares of each would cost about S$15,161 before brokerage fees. Here is the article you can use: Using DBS, OCBC and UOB as a Tool for Financial Freedom Financial freedom does not always have to begin with a huge amount of money. Sometimes, it begins with owning a small number of quality assets and allowing those assets to generate income year after year. For a Singapore investor, three companies naturally stand out when thinki

So what did I buy today? Well it was actually $Realty Income(O)$  yes I'm back in arguably the best dividend stock of all time. In pays dividends every month, and has paid and increased them every month for over twenty years. And the gross dividend yield is over 5% which is not too shabby. But the stock price is up, it generally doesn't move much, so why did I pull the trigger today? Well, it gives me a solid return every month, that consistently goes up at least twice a year. It also has a beta of around 0.5, that's the huge one for me. I'm a value and growth investor predominantly. Realty isn't super cheap ATM. It's definitely not a growth stock either. But my growth stocks with betas around 2 are testing my emotions daily. So for my own

I think AI’s next major bottlenecks are increasingly shifting toward power and data transmission, rather than GPUs alone. $Alphabet(GOOGL)$ locking in nuclear power and Verizon securing long-term fiber supply are good examples of how AI capex is expanding into the broader infrastructure chain. From an investment perspective, I’m watching optical and power names like $Lumentum(LITE)$ , $COHERENT(COHR)$ , $Ciena(

I’d pick ② 1.6T optical communications. The more interesting story behind Google locking in nuclear power and Verizon locking in fiber is that AI infrastructure is entering its next phase. The bottleneck is no longer just GPUs. As AI clusters scale, they need massive amounts of reliable electricity and dramatically higher bandwidth. That makes optical networking particularly attractive. The industry is moving from 400G to 800G and toward 1.6T, meaning each AI cluster can generate more demand even without a proportional increase in data centers. Power is the longer-term infrastructure play, while 1.6T optics could offer greater earnings and stock-market sensitivity to AI CapEx. My ranking: 1.6T optics > nuclear/power > liquid cooling > GPUs. The key question now isn’t who sells th

I’d choose A — Chase the Winner 📈. I’d rather pay a reasonable premium for a strong company with growing earnings, cash flow and a durable competitive advantage than buy a falling stock simply because it looks cheap. For me, the key is quality + growth + valuation, not just the share price. A stock can look expensive and still outperform if earnings continue to beat expectations, while a “cheap” stock can remain cheap for years if the fundamentals keep deteriorating. That said, I wouldn’t blindly chase momentum. I’d prefer to build positions gradually on pullbacks and hold for the medium to long term. In my view, buying a great business at a reasonable price beats buying a bad business at a cheap price. @

A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Palantir $PLTR named Nebius $NBIS its preferred sovereign AI infrastructure partner, announcing a strategic partnership to integrate Nebius compute and inference endpoints directly inside Palantir’s enterprise perimeter. The integration will allow eligible Palantir commercial customers to run open AI models on Nebius infrastructure, continuously adapt them using proprietary company data, and maintain control over their compute, models, and data. The companies also plan to bring new AI compute capacity online faster, including modular data-center deployments in locations where power is already available. Palantir CEO Alex Karp said, “Nebius’ compute infrastructure powers your ability to run your own AI models under

I would pick XPeng as the most interesting EV-to-humanoid robotics story, but the bigger opportunity may be the technology crossover itself. XPeng’s advantage is not simply having a humanoid prototype. Its experience in intelligent driving, AI, sensors, batteries, electric motors and automated manufacturing gives it a potential foundation for scaling robots. That said, investors should separate robot demonstrations from commercial reality. The real milestones are production volume, customer orders, pricing, unit economics and recurring revenue. If XPeng can prove that its IRON humanoid can move from the factory floor to profitable mass deployment, the market may stop valuing it purely as an automaker and start viewing it as a Physical AI company. That valuation shift could be far more imp

$Nokia Oyj(NOK)$  $15 Target Price. The primary driver for NOK is its successful transformation from a traditional telecom equipment provider into a core supplier for AI data center infrastructure. This transition is underpinned by surging demand for its optical network solutions and strategic partnerships. NOK Growth Catalysts & Quantitative Evidence: 1. Explosive Growth in AI & Cloud Business-- This is the primary near-term catalyst. The AI & Cloud division is experiencing explosive growth, with Q1 2026 revenue surging +49% YoY. It generated €1 billion in new orders in Q1-2026 alone, with a book-to-bill ratio of approximately 3x, indicating a strong demand pipeline that far exceeds current delivery capac

Personally, I think humanoid robotics could become a meaningful second growth curve for Chinese EV makers, but I wouldn’t value it as a major profit engine yet. The technology overlap with EVs is real—AI, batteries, sensors, motors and manufacturing give these companies a natural head start. XPeng stands out to me because it is moving aggressively from prototypes toward production and deployment. I still see EVs as the core business for years. Robotics needs to prove real orders, scalable production, lower costs & recurring revenue before investors should assign a major valuation premium. For now, I see humanoids more as a valuable growth option than a proven profit engine. I choose to lean toward $XPeng Inc.(

For me, I wouldn’t rush into the next open just because Goldman’s call came after the bell. Analyst upgrades can trigger a gap-up, but I’d rather see whether the move holds than chase the initial reaction. For $Micron Technology(MU)$ and $SanDisk Corp.(SNDK)$ , I’m focused more on the memory-cycle fundamentals than one upgrade. If tight inventory, pricing power and AI demand continue supporting earnings, I’m comfortable holding through volatility. A strong opening is nice, but sustained strength is what matters to me. I’d rather buy confirmation than buy excitement. My approach is consistency over noise. If price action and volume confirm the bullish setup, I can add gradually; if the market rejects the ne

🌟🌟🌟An 11% daily candlestick on $Lumentum(LITE)$ presents a classic market dilemma: Do you buy the breakout of a new leader in photonics OR do you stand back out of fear that it is a volatile one day trip? The Bull Case: Lumentum is leading the charge in shifting hyperscale data centers toward 800G & next generation 1.6T optical modules. $NVIDIA(NVDA)$ multi billion dollar contract with Lumentum validates its proprietary Indium Phosphide lasers & optical transceivers as vital components for future AI scale out architecture. Lumentum reported an 83.2% surge in fiscal 2026 revenue to USD 3.01 billion, proving that the AI infrastructure boom has translated into concrete order backlogs. The Bear Cas

🌟🌟🌟 $NVIDIA(NVDA)$ pullbacks are rarely a structural exit.  They are the natural breathing patterns of a bull market.  When NVIDIA experiences a sharp down day or hits a brief pocket of selling pressure, the media tends to write apocalyptic headlines about the bursting of AI bubble. Yet when you zoom out, it is just simply fund managers harvesting profits to manage risk parameters before inevitably recycling that same day powder right back into the dominant secular trade. The latest data confirms that Nvidia's core structural engine is still running unimpeded.  For long term investors, these corrections represent the single best opportunistic entry windows to buy Nvidia - the undisputed architect of the AI revolution at a rare disc

🌟🌟🌟Is Tesla a long term Buy or Immediate Bye?  Evaluating $Tesla Motors(TSLA)$ at its current premium depends heavily on your timeline and risk appetite. The Buy Case: Tesla's camera only, low cost manufacturing model gives it an immense structural cost advantage over sensor heavy models like $Alphabet(GOOG)$ Waymo. Tesla's Energy Storage Safety Net: A surging utility scale energy business provides a rock solid fundamental floor that protects overall corporate gross margins. The Bye Case: Tesla is priced for perfection: Trading as an AI & robotics leader rather than a car manufacturer, leaves Tesla's stock pr

🌟 $SK hynix(SKHY)$ vs $Micron Technology(MU)$ : Which is a better investment? SKHynix - The Leadership Trend:  Hynix isn't just following the trend.  It is THE Trend.  Hynix holds a 50% monopoly on global HBM supply combined with  NVIDIA's validation.  With a forward P/E ratio of just 11.6x, Hynix provides exposure to AI accelerators without the steep valuation  premium compared to Micron. Micron - The Challenger: It has staged a monumental operational rally with massive multi year contracts with cloud hyperscalers to lock in long term revenue commitments. However aggressive scale expansion has forced Micron to reroute valuable wafer capacity into lower margin DRAM to gain vo

Like NVDA and MRVL, and also CRWV, AVGO is now in a state where the valuation ramp-up is getting more and more scrutinised. The very real fear is the amount of cash investments to bring the AI theme into real profitability is really way over. Why Jensen Huang and his party of funders are talking up with a promised capitalisation of 0.5 trillion, is they know this. Everything hinges on the operating AI models out there actually turning real profit. So far, no AI business has done this. And the real fear is it seems that the only way to get this profitable is to throw even more money into it. It's like that old joke about some businesses which never see daylights. How do you become a millionaire dealing in these? You first need to be a billionair.

$Sheng Siong(OV8.SI)$  $3.60 Target Price. --Overview of Sheng Siong (OV8)-- Sheng Siong Group Ltd (SGX: OV8) relies on a mix of store network expansion, operational efficiency, macro-driven demand, and new sales channels to drive its core financial performance. --Growth Catalysts for ShengSiong-- 1). Aggressive Store Expansion Pipeline: The company's primary growth engine remains physical store network expansion. Adding 16 new stores in Singapore between 2025 and 1H 2026, Sheng Siong operates 90 domestic outlets alongside 6 overseas stores in Kunming, China. Future pipeline visibility is secured through upcoming openings in new housing developments like Hougang, Rivervale, and Woodlands, alongside ongoing bids for