SK Hynix ADRs are scheduled to list on Nasdaq on July 10. $Micron Technology(MU)$   $CSOP SK Hynix Daily (2x) Leveraged Product(07709)$   $Corgi SK hynix 2x Daily ETF(SK)$   The global AI race may be getting another major catalyst. South Korean memory giant SK Hynix is reportedly preparing to list its American Depositary Receipts (ADRs) on Nasdaq on July 10, a move that could significantly increase its visibility among U.S. investors and place it directly in front of the world's largest pool of AI-focused capital. The timing is notable. SK Hynix has emerged as one of the biggest winners of the AI boom, becoming the domin

​Please watch out if you use the Tiger Brokers community feed ("Trade Feed")! There is a coordinated scammer ring operating right now trying to trap retail investors. ​Here is exactly how they operate so you don't get caught: ​🔹 The Bait: A fake account posts a sophisticated-looking stock analysis using heavy market jargon (e.g., tagging NVIDIA) to look legit and catch your attention. 🔹 The "Ghost" Comments: A whole string of fake accounts will immediately comment, talking to themselves and pretending to be everyday traders. They will all praise a specific "mentor" or "guru" (e.g., naming a Telegram handle like @Owenmoshey). 🔹 The Trap: They pretend to ask each other how to join, then drop a Telegram link/username to funnel you out of the broker app. ​Once they get you onto Telegram, that'

A friend shared AUROS Technology (KOSDAQ: 322310) with me, so I decided to do my own research. Stock price approximately USD$20 equivalent.  The first thing that caught my attention wasn't the profits. It was the losses. Most investors run when they see a company losing money. I start asking why. AUROS generated around ₩42 billion in revenue with gross margins close to 50%, which tells me the core business is real. Customers are buying their semiconductor metrology and inspection tools, and those products have pricing power. Yet the company is losing money. Why? Because management is spending aggressively on R&D. They're sacrificing today's profits to build tomorrow's technology. In a world where AI, HBM memory, advanced packaging, and next-generation semiconductors are becoming m

$NVIDIA(NVDA)$   Rubin isn’t just another GPU jump. It quietly breaks a core assumption of the energy system: Compute demand used to scale linearly. Now it scales like a power plant. 1️⃣ NVIDIA Rubin → Extreme Power Density Rubin-class AI clusters push: Higher watts per rack Higher sustained utilization Ultra-dense training + inference workloads This shifts AI infrastructure from IT equipment into: industrial-scale electricity consumption systems 2️⃣ Data Centers → Electricity Demand Explosion With hyperscalers scaling Rubin-era clusters: AI training becomes continuous, not cyclical Inference becomes always-on base load Mega data centers behave like cities Result: Data centers stop being “large customers” T

Eh boss, if America and Iran really stop fighting, oil price come down. Oil come down, inflation cool down. Inflation cool down, Fed no need keep interest high. When interest come down, utility companies can borrow cheaper money to build battery farms. More battery farms means more tenders for Fluence. So for $Fluence Energy, Inc.(FLNC)$  ,  peace in Middle East → lower oil → lower inflation → lower rates → more energy storage projects. Now market waiting for the June 17 Fed meeting. If Fed starts talking more about future inflation instead of old inflation data, growth stocks like Fluence may get another boost. But end of the day, Fluence still must show profits and win projects. Prata dough can be good, but still need to cook the prata

Everybody talking about AI, Nvidia, data centres, electricity demand. But Muthu ask one simple question: 👉 Who makes the special steel inside the transformers? Without transformer, no electricity. Without electricity, no AI. Without AI, all the AI stocks become PowerPoint presentation only. The secret ingredient is called GOES (Grain-Oriented Electrical Steel). Not ordinary steel hor. This steel is cooked differently. During manufacturing, all the crystal grains line up neatly like Girl Guides during national day. Because of that, electricity can flow through with very little energy wasted as heat. Problem? Only a handful of companies in the world know how to make high-grade GOES. The VIP club got only: 🇨🇳 Baowu 🇯🇵 Nippon Steel 🇰🇷 POSCO 🇩🇪 Thyssenkrupp 🇺🇸 Cleveland-Cliffs

In 2007, a 33-year-old man in Dallas looked at his bank account: $87,000. He had a great job making $200k+ a year, a house, and a comfortable life. But he wanted more. So he did something most people would call crazy. He took $20,000 and bet it all on the stock market. No MBA. No Wall Street experience. No charts. No earnings reports. Just one simple idea he called “Social Arbitrage” — seeing what normal people were doing before Wall Street noticed. Three years later → $2 Million. Eventually → over $70 Million. This is the insane true story of Chris Camillo. It All Started When He Was 13 Every weekend before sunrise, young Chris would take the bus to garage sales. He realized the best items disappeared in the first hour. He also noticed something brilliant: Most sellers were moms who didn’

Over the past two years, the hottest topic in the AI energy sector has undoubtedly been nuclear power. From OKLO to SMRs, from nuclear power plants to small modular reactors, almost every stock even remotely related to nuclear energy has been wildly pursued. But what if I told you that the biggest winner from AI’s future power shortage might not be these nuclear stars at all? Nuclear power’s biggest advantage is its generation capacity, but its greatest weakness is time. It takes seven, ten, or even more years for a nuclear plant to go from approval to operation. The AI industry clearly won’t wait that long. So in the next few years, whoever can fill the power gap the fastest is most likely to become the real beneficiary of this AI wave. Looking across the entire energy system, the only cl

Coming from a banking background, I've seen firsthand how much of corporate work is still driven by manual processes, approvals, reconciliations, compliance checks, ticketing systems, and endless coordination between departments. That's why I think many people are underestimating the impact of Agentic AI. A lot of investors still view AI as a chatbot that answers questions. I think the bigger opportunity lies in AI that can take actions, coordinate across systems, and execute workflows with minimal human intervention. I've trialed agentic AI in automated trading myself. It actually works. The downside is that it can burn through tokens quickly, but the experience convinced me that we're moving beyond simple chat interfaces into systems that can reason, plan, and execute. Attached is my scr

SINGAPORE: On paper, the life of a 29-year-old finance professional might look like a clear success story. He has a stable job in the Central Business District, earns about S$5,500 a month, and has built up roughly S$400,000 in savings and investments over the years through trading US stocks. But in a post shared on a local forum on Thursday (Jun 4), he confessed that his life has started to feel rather “meaningless” and “sad” as his job no longer fulfills him. “Every day, I seem to be stuck in a loop where I struggle to wake up because I stayed up late till 1 a.m. the previous night, sit on the train to work like a zombie to the CBD, and do my job.” “My job has pretty standard working hours, no OT, and is not extremely stressful but not enjoyable either. I mostly fix problems that pop up