Another way to look at it: The AI race may eventually become a “profitability race,” not a technology race. Companies are spending huge amounts on AI infrastructure, but spending more does not guarantee higher profits. Data centers, power, HBM and networking may benefit even if one AI model loses the competition. AI agents could increase computing demand because AI may run continuously instead of only when users ask questions. However, if AI services become cheaper because of intense competition, revenue may not grow as quickly as computing costs. This makes free cash flow, margins and return on investment more important than simply counting AI users or GPUs. Bottom line: I would not focus only on “Who has the best AI?” I would focus on “Who can make money from AI after paying the

My simple view: The biggest change is that AI is becoming a full investment ecosystem, not just a GPU story. AI agents could create new demand for software, cloud and cybersecurity. Nvidia and AMD may benefit from rising compute demand, but competition and huge spending remain risks. Power, data centers, networking and HBM could become major AI bottlenecks. The most important question is AI revenue vs. AI spending. Huge capex does not automatically mean huge profits. If AI companies keep spending hundreds of billions, investors need to watch free cash flow and return on investment, not just revenue growth. Bottom line: The AI opportunity is getting much bigger, but the investment story is also getting more complicated. I would watch who converts AI spending into sustainable cash fl

📊😵‍💫💎 — Charts went crazy, but I’m still here.

🥲📉💎 — Portfolio down, but still holding.

📉😩💎 — Bought the dip, now I’m holding the pain.

Different view: AMD is thinking beyond AI chips. World Labs could help AMD participate in the next generation of AI: robots, simulations and machines that understand the physical world. It could strengthen AMD’s ecosystem. AMD needs more than powerful GPUs to compete with Nvidia. AI software, models and applications are becoming increasingly important. The $8.2B price is the biggest question. Even if the technology is excellent, AMD needs to generate enough future revenue and cash flow to justify the investment. This is a long-term bet. The benefits may take several years to appear, so short-term stock movements may not tell us much. Execution matters. Integrating World Labs and turning its technology into real products will be critical. Bottom line: I see this as a strategic bet on

My simple view: BMNR is basically building a company around Ethereum. It holds over 6M ETH, close to its 5% target. About 84% is staked, creating potential staking income. If ETH rises, BMNR’s asset value could rise strongly. But the concentration is very high. If ETH falls sharply, BMNR could also fall heavily. The slower weekly ETH purchases are worth watching. Bottom line: BMNR offers strong exposure to ETH, plus staking income, but it is much riskier than simply buying ETH or a diversified stock. The key things to watch are ETH price, ETH holdings, staking yield and BMNR share dilution/financing.

My simple view: The market is red mainly because oil, inflation and Treasury yields are rising together. Oil ↑ → Inflation ↑ → Rate expectations ↑ → Treasury yields ↑ → Stocks ↓ When the 10-year Treasury yield is around 5%, stocks must offer enough potential return to justify their extra risk. This can put more pressure on high-valuation tech, AI and highly indebted companies. For investors, watch these 4 things: 10-year Treasury yield Oil prices Inflation data Company earnings and free cash flow Important: Falling yields are not always bullish. If yields fall because the economy is weakening, company earnings may also suffer. Bottom line: Don’t judge the red market only by stock prices. The bigger story is whether inflation and yields remain high or start cooling.

My simple view: AMD’s $8.2B World Labs deal is a long-term AI bet. It moves AMD beyond GPUs into 3D AI, simulation and robotics. If physical AI and robots grow, demand for AI computing could increase significantly. Fei-Fei Li joining AMD could strengthen its AI research. The risk is that spatial AI is still developing, so $8.2B is a big investment. This deal does not mean AMD will immediately catch Nvidia. Nvidia still has a strong hardware and software ecosystem. Bottom line: The potential is exciting, but investors should watch AI revenue, ROCm adoption, robotics demand and free cash flow.

My simple view: BitMine’s strategy is interesting because it is not just buying Ethereum—it is trying to turn ETH into a yield-generating treasury. Why it is interesting 6 million ETH is a huge position, close to its 5% target. About 84% of its ETH is staked, potentially generating recurring staking income. If ETH rises, the value of its treasury can rise significantly. Staking rewards can add ETH to the treasury over time. But the risks are important Very high concentration: The company is heavily dependent on ETH. If ETH falls sharply, BitMine's asset value can fall sharply too. 2.62% staking yield is not guaranteed and can change. Buying ETH requires significant capital, so financing and dilution are also worth watching. The slower weekly purchase rate is something investors

My simple view: The main message is “higher yields are putting pressure on stocks.” Why 5% Treasury yields matter When the 10-year Treasury yield is around 5%, investors can earn a relatively high return from a government bond with much lower risk than stocks. This creates pressure on expensive growth stocks, especially technology and AI companies. The chain is: Oil ↑ → Inflation ↑ → Rate expectations ↑ → Treasury yields ↑ → Stock valuations ↓ Which stocks are most sensitive? High-growth tech/AI: More sensitive because much of their expected earnings are in the future. Highly indebted companies: Higher borrowing costs can hurt profits. Banks/financials: More complicated; higher rates can help some income, but economic weakness can create other problems. Gold: Higher bond yields

My simple view: Nvidia’s $150B new buyback authorization is a strong financial signal, but I would not treat it as a reason to buy NVDA by itself. Why it is positive Very strong cash flow: Nvidia generated $69.9B free cash flow in the first half of FY2027. AI demand remains strong: Data Center revenue grew 117% YoY. Buybacks can boost EPS: If Nvidia keeps growing earnings while reducing shares, EPS can grow faster. Management has flexibility: It can invest in AI, R&D and acquisitions while also returning cash to shareholders. What I would watch The biggest question is valuation. Buying back shares at a very expensive price is less attractive than buying them at a reasonable valuation. I would watch: Free cash flow growth Data Center growth AI spending and competition Gross

AMD’s World Labs deal is interesting because it is not just about selling more AI chips. It gives AMD exposure to spatial AI, robotics and physical AI. The potential growth path is: 3D AI → simulation → robot training → physical AI → more computing demand World Labs could also help AMD improve its chips and ROCm software for future AI workloads. However, the $8.2 billion price is a major risk. Spatial AI is still developing, and commercial adoption may take years. The deal does not mean AMD will catch Nvidia immediately. For investors, I would watch three things: World Labs' commercial adoption. Integration with AMD’s AI hardware and ROCm. Growth of robotics and physical AI. The deal is a long-term growth bet, but execution will determine whether it creates real value.

The September jobs report will be important because it could influence the Fed’s October rate decision. The three scenarios are: Below 100K: Shows faster labor-market cooling. This could reduce pressure for another rate hike, but may raise concerns about economic growth. 100K–200K: Shows moderate job growth and could give the Fed more flexibility to wait. 200K–300K: Shows stronger employment. It could increase expectations of another rate hike, potentially pushing Treasury yields and the U.S. dollar higher. Investors should also watch wage growth, unemployment, and revisions to previous months, not just the headline payroll number. For stocks and gold, the reaction may depend on whether the data is strong or weak relative to expectations.

I think Singapore has a strong opportunity to become an important AI hub in Asia, but competition will be intense. The most interesting part for me is job creation. AI companies may create more jobs in software, data, cybersecurity, cloud services, sales and finance. At the same time, some repetitive jobs may become automated. I also think AI skills will become more important than having a traditional job title. People who can use AI to improve their work may have better opportunities. Singapore's location, skilled workforce and strong business environment are important advantages. However, other Asian cities are also investing heavily in AI. So, I would say it is too early to know who will become the leading AI hub, but Singapore is clearly positioning itself strongly.

The biggest lesson for me is that analyst ratings are opinions, not guarantees. MSFT’s upgrade shows growing confidence in AI and Azure growth. CoreWeave is more interesting because JPMorgan and Rothschild have very different views: $125 vs $54. This shows how analysts can interpret the same company very differently. Nike’s downgrade also reminds us that a turnaround can take longer than expected. Meanwhile, Humana’s upgrade shows how improving business expectations can quickly change sentiment. For investors, I think the most important question is not simply “Buy or Sell?” but “Why did the analyst change the rating?” I would also avoid making a decision based on one analyst target. It is better to look at earnings, valuation, cash flow, growth and the company's actual results.

The report presents a bullish case for Bitcoin, but I would treat the $250,000 target as a scenario, not a guarantee. The positive points are: BTC has made higher highs and higher lows. ETF demand has recovered, with renewed net inflows. BTC has moved back above important investor cost bases. The report expects Bitcoin to benefit from long-term fiscal and monetary pressures. However, risks remain. Higher interest rates, weaker liquidity, regulation, and falling demand could cause large price swings. For me, the most important lesson is: Bitcoin may have strong long-term potential, but the $250,000 target depends on continued adoption, investment flows, and favorable market conditions.

I have not sold a cash-secured put yet, but I understand the basic approach better now. If I were to try it, I would choose a stock I genuinely want to own, preferably with a bullish or neutral outlook. I would consider an OTM put, around 10–15% below the current price, with about 35–45 days to expiry. I would also prefer a limit order, especially when the bid-ask spread is wide, to avoid giving away too much premium. The biggest lesson for me is: never sell a put just because the premium looks attractive. Before entering, I need to be comfortable buying 100 shares at the strike price if assigned.

I have not sold a cash-secured put yet, but I understand the basic approach better now. If I were to try it, I would choose a stock I genuinely want to own, preferably with a bullish or neutral outlook. I would consider an OTM put, around 10–15% below the current price, with about 35–45 days to expiry. I would also prefer a limit order, especially when the bid-ask spread is wide, to avoid giving away too much premium. The biggest lesson for me is: never sell a put just because the premium looks attractive. Before entering, I need to be comfortable buying 100 shares at the strike price if assigned.

Under the moonlight, let’s celebrate the joy of reunion, glowing lanterns, and endless wishes. 🏮🌕✨ Happy Mid-Autumn Festival! 🐯🥮🎉