To The Moon

I’m still bullish, but I think the key is earnings growth catching up with valuation. 👀 Burry may be right that PLTR and NVDA are priced for near-perfect execution, but skepticism alone doesn’t make the AI thesis wrong. Nvidia is still benefiting from massive AI infrastructure demand, while Palantir is showing strong commercial AI adoption. For me, the real warning sign would be AI spending slowing while valuations stay elevated. Until that happens, I’d rather own the leaders with real revenue growth than bet against the entire AI cycle. 📈🤖

C — USD margin loan. 💵 If there’s no USD cash available to fund the U.S. stock purchase, the trade can create a USD borrowing balance, and interest may accrue. The key is that holding AUD doesn’t automatically mean you have USD available without a currency conversion or financing cost. 📊

B — Lower margin requirement. 📊 The position sizes are identical, so the difference comes down to how much margin the broker requires for each stock. Lower requirement = less collateral needed. 💡

I’d go with D. The US$5,000 proposal is still uncertain, so I wouldn’t price in a major Singapore market impact yet. If it does happen, the first-order effect would likely be stronger consumer spending, but for S-REITs and banks, the bigger driver remains the path of U.S. inflation and interest rates. 👀🇸🇬

I think it can hold for now, but the margin for error is shrinking. If AI companies are only delivering ~half the S&P 500’s earnings growth, today’s valuations become harder to justify. The bull case needs AI earnings to accelerate from here—not just meet expectations. If growth disappoints, that concentration could become the market’s biggest risk. 👀

I’d break it down roughly 60% oil/inflation fears, 30% Fed expectations, 10% other factors. Oil is the spark — higher energy prices raise inflation expectations and make the market worry the Fed can’t ease anytime soon. The Fed is the amplifier because traders are now pricing a high probability of a hike this week. The key for stocks: if oil stays elevated and the 10Y holds above 5%, valuation pressure could get much worse. 👀📉

Monday’s rotation was hard to ignore: 📈 Zscaler +16.8% 📈 Rubrik +16.0% 📈 CrowdStrike +13.8% 📈 Palo Alto Networks +13.0% 📈 Fortinet +9.0% These were September 14 closing gains, not intraday highs.  What caught my attention is why cybersecurity rallied while many AI-chip names sold off. The market is starting to think about the other side of the AI equation: the more powerful AI becomes, the more important it becomes to secure it. AI agents create new attack surfaces across: 🔹 Identity & access 🔹 Cloud infrastructure 🔹 Data protection 🔹 AI-agent monitoring 🔹 Automated threat detection 🔹 Runtime security That could make cybersecurity a genuine second-order AI trade. But I’m not chasing the move blindly. After a surge like this, valuations and expectations matter. The real confirmation wi

I’m leaning C. 👀 Four days isn’t enough to call it a trend, but consistent inflows while the broader BTC ETF market sees outflows are definitely worth watching. If it continues, that could be a meaningful signal of institutional demand. 🐂

I’m going with A — AAPL breaks above $330 🚀. Apple tends to move hard when expectations are high, and a strong event could be the catalyst for a breakout. 👀🍎

🔵 B. $GOOGL — Alphabet My pick is GOOGL. Google already has massive distribution through Search, Android, Chrome and YouTube, but the real advantage is commercial intent. If AI agents start completing searches, comparisons, bookings and purchases, Google is already sitting at the point where users express what they want. Gemini gives Alphabet the ability to turn that existing intent into an agentic experience and potentially capture more value from each interaction. META has huge upside, but I think GOOGL has the stronger starting position for monetizing AI agents.