To The Moon

Apple is heading into the iPhone 18 cycle with one big question: Is demand actually stronger — or is limited supply making it look that way? Apple’s June-quarter iPhone revenue jumped 21.7% YoY to $54.25B, beating expectations. At the same time, Apple has warned that supply-chain constraints are becoming a bigger issue.  Some iPhone 18 Pro Max configurations have already moved to later delivery windows, although the overall launch has not shown the immediate sell-out seen in some previous launches.  That makes the next few weeks important. 📱 Demand — Are consumers upgrading? 🏭 Supply — Can Apple produce enough at current margins? 💰 Margins — Can Apple absorb higher component costs? The interesting part for me isn’t simply whether the phones sell out. It’s whether Apple can turn strong iP

This week gave investors a strange contradiction. AI stocks initially sold off after Anthropic’s Dario Amodei and OpenAI’s Sam Altman backed calls for a more cautious pace of AI development.  Then the trade reversed. 📈 $NVDA 📈 $AMD 📈 $MRVL 📈 $MU 📈 $INTC Jensen Huang added fuel by saying Nvidia expects to sell twice as many chips next year as this year.  So which signal matters? The slowdown argument: AI development could become more regulated and cautious, potentially reducing the pace of infrastructure spending. The bull argument: Even if frontier-model development slows, inference, AI agents and existing data-centre deployments could continue driving enormous compute demand. Analysts have also questioned whether a “slowdown” actually means lower AI infrastructure spending.  That’s the

Three major sportswear names. Three different problems. But one theme keeps showing up: the old growth playbook is under pressure. $LULU just reported Q2 revenue down 4%, comparable sales down 9%, and Americas comparable sales down 12%.  $NKE’s FY2026 revenue was essentially flat, while Q4 Direct revenue fell 7% and Greater China remained weak. Nike is still trying to rebuild momentum under its turnaround strategy.  $UAA saw North American revenue fall 9%, with management pointing to cautious consumers and a difficult competitive environment.  And competition is changing. On and Hoka are gaining attention, putting more pressure on established brands to deliver new products, stronger innovation and a reason for consumers to pay premium prices.  But here’s the interesting part: This does

C. Before earnings, I’d check margin balance, maintenance requirements, position concentration and excess liquidity — and keep a buffer. Earnings can move a stock sharply in either direction, so account risk matters just as much as the earnings result.

I’d pick A — falling Treasury yields. If yields keep easing, that could give growth and tech stocks more breathing room even with the Fed staying cautious.

$Grab Holdings(GRAB)$  — still holding. I’m staying patient with this one. Q2 revenue grew 22% YoY to $997M, while Adjusted EBITDA jumped 54% to $168M. Grab also raised its 2026 guidance and plans to execute the remaining ~$900M share buyback authorization over the next 12 months.

With AI, semiconductors and high-growth stocks grabbing most of the attention, I’ve been looking at something much less exciting: $VT — Vanguard Total World Stock ETF. It gives exposure to thousands of companies across developed and emerging markets, rather than betting everything on one country or sector. That diversification is what makes VT interesting to me. 🇺🇸 U.S. equities still make up the largest portion 🌏 But you also get exposure to Europe, Japan, China, Canada and other markets 📊 Large, mid and small-cap companies are included 💰 One ETF gives you a broad global equity portfolio The trade-off? VT probably won’t give you the explosive upside of picking the next $NVDA or $EOSE. But that’s also the point. Instead of trying to guess which company or country will dominate the next dec

I’ve been keeping a close eye on $EOSE, and the numbers are starting to get interesting. 📈 Q2 revenue jumped 351% YoY to $68.8M 📦 Backlog reached $807M, representing about 3.4 GWh 🏭 Line 2 has entered commercial production 🎯 2026 revenue guidance is $300M–$350M That’s a pretty significant change from the earlier-stage EOSE story. But the part I’m watching most closely isn’t the backlog — it’s margins. EOSE is still loss-making, so the big question is whether scaling production can turn strong demand into sustainable profitability. If revenue keeps accelerating while margins improve, the market could start valuing EOSE very differently. For me, this is becoming a “show me the execution” story. 👀 Anyone else watching EOSE — turnaround opportunity or still too much risk?

The Fed just raised rates. And the market basically said: “Okay… now what?” 👀 Thursday delivered a powerful rebound: 📈 Nasdaq-100 +1.73% 📈 S&P 500 +1.14% 📈 SPY +1.13% 📈 QQQ +1.73% The S&P 500 recovered Wednesday’s Fed-day decline and closed at 7,637.76, while the Nasdaq jumped 1.69%.  But the interesting part wasn’t the Fed. 🛢️ OIL FELL Brent dropped to around $104.82, easing some of the inflation pressure that had been pushing yields higher.  📉 YIELDS FELL The 10-year Treasury yield dropped back below 5%, ending around 4.93% after briefly crossing 5% following Wednesday’s decision.  👷 JOBLESS CLAIMS FELL Initial claims dropped to 196,000, below expectations of roughly 207,000. That creates an interesting combination: Stronger labour data + lower oil + lower yields = a much easi

The AI slowdown debate just got a lot more interesting. Jensen Huang said Nvidia expects to sell twice as many chips next year as this year, pointing to continued AI adoption across industries.  The market reacted immediately: 📈 $AMD +6.36% 📈 $MRVL +4.81% 📈 $NVDA +2.54% 📈 $AVGO +2.29% The Philadelphia Semiconductor Index gained about 3.1%, extending its rebound to a third straight session.  But here’s the part I’m watching: 2× chip volume doesn’t automatically mean 2× revenue. Nvidia’s own fiscal 2028 outlook calls for roughly 70% revenue growth, and the company says that outlook is currently supply-constrained.  So the bigger question isn’t simply whether AI demand is still strong. It’s whether the entire infrastructure chain can keep scaling fast enough: 🧠 GPUs → $NVDA / $AMD 🔌 Networ