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

Everyone is celebrating the memory-stock rally. But I think there’s a more interesting question: If memory prices really are rising 5–7×, who ultimately pays for it? 👀 Intel CEO Lip-Bu Tan said memory prices have surged roughly 5–7×, helping trigger another sharp move in memory names. On Thursday, $MU jumped 5.5%, $SNDK 6.2% and SK Hynix about 4.6%.  🔥 THE BULL CASE For memory manufacturers, this is exactly what investors want to see: • Supply remains tight • AI infrastructure is consuming enormous amounts of memory • Higher ASPs can translate into dramatically higher revenue and margins • Micron’s latest quarter already showed how powerful the pricing cycle can become Micron reported $41.46B of fiscal Q3 revenue, up sharply from $23.86B the previous quarter, and guided to around $50B rev

$Gold Royalty Corp(GROY)$ $GROY is an interesting one to watch. 🥇 Gold is back in focus, while GROY is showing real cash-flow growth rather than being purely a gold-price story. Q2 revenue reached $6.7M and operating cash flow was $3.7M, with six-month revenue nearly doubling YoY. 

Stocks got the attention this week. But I’m watching Treasuries. The U.S. 10-year yield briefly pushed above 5%, its highest level since 2007, before falling back below 5% as oil prices eased.  That matters because bonds are quietly setting the tone for almost everything else. Higher yields can mean: 📉 More pressure on growth-stock valuations 💳 Higher borrowing costs 🏠 More expensive mortgages 💰 Stronger competition for stocks 📊 More volatility across markets And now we have an unusual setup. The Fed just raised rates to 3.75%–4.00%, while officials indicated another hike could still happen this year. At the same time, the 10-year yield has started moving lower as oil retreats.  So the key question for me isn’t simply: “Will the Fed hike again?” It’s: “Where does the 10-year yield go nex

When I think about AI stocks, $NVDA is usually the first name that comes to mind. But I’m increasingly watching $AMZN. Why? AWS is becoming one of the biggest beneficiaries of the AI infrastructure buildout. Amazon and NVIDIA recently announced plans to deploy 2 million additional NVIDIA GPUs across AWS’s global infrastructure, alongside deeper work across networking, CPUs and AI systems.  And Amazon’s latest moves show that the AI opportunity goes far beyond buying GPUs. Just this week, Amazon signed a $2.4B initial agreement with Generac for backup generators for its data centers, with potential purchases reaching up to $8B.  That tells me something important: AI infrastructure is becoming an entire ecosystem. 🧠 GPUs ☁️ Cloud computing ⚡ Power 🏗️ Data centers 🔌 Networking 🤖 AI applicat

For the last few years, the AI trade has been dominated by one question: Who makes the chips? $NVDA, $AMD, $MU, $ARM and the rest of the semiconductor group have captured most of the attention. But Thursday’s move in $GNRC got me thinking about a different part of the AI equation: Who actually powers all these data centers? $GNRC surged after announcing a long-term agreement with Amazon to supply backup generators for its data centers. The initial deliveries are expected to total $2.4B in 2027–2028, while the agreement could ultimately support purchases of up to $8B.  That is a pretty big signal. AI data centers need enormous amounts of electricity — and they need that power to be reliable, not just available. The IEA expects electricity demand to accelerate through 2030, with data center

Intel just reminded the market that the AI chip story isn’t only about $NVDA. $INTC jumped 8.3% Thursday, helping lead a powerful semiconductor rebound. The broader chip index gained about 3.3% as oil and Treasury yields eased.  What makes Intel interesting to me is the U.S. manufacturing angle. AI demand is creating a huge need for advanced chips — but also for the capacity to actually manufacture them. After this week’s volatility, investors are clearly still willing to buy the semiconductor dip. The question now: Is Intel staging a real comeback, or was Thursday simply a relief rally? 👀 I’ll be watching whether $INTC can hold the move rather than just chase the spike. Not financial advice — just sharing what I’m watching.

Wall Street bounced back Thursday, with the S&P 500 +1.13%, Nasdaq +1.62% and Dow +0.71% as oil prices and Treasury yields eased.  After Wednesday’s Fed-driven selloff, the market got some breathing room. The Fed raised rates 25 bps to 3.75%–4.00% — its first hike in more than three years — while its latest projections point to a 4.1% median policy rate at year-end, suggesting another hike could still be ahead.  Meanwhile, Brent crude fell to around $103 and the 10-year Treasury yield moved back below 5%, giving risk assets some relief.  What caught my attention? 🔥 Tech led the rebound 💻 Semiconductors were strong 🛢️ Oil pulled back 📉 Treasury yields eased 🏦 But the Fed is still fighting elevated inflation So is Thursday’s move the start of a real rebound — or simply a relief rally

I think the bigger question is whether AI can keep converting massive capex into real earnings growth. If Goldman’s estimate holds, the market may start demanding more proof from the mega-cap AI names rather than simply rewarding spending and revenue growth. @Kentzw

I don’t think the Senate setback is the whole story. $CRCL launching Arc with BlackRock, Visa, Mastercard and DTCC involved is a meaningful development, but the market is clearly focused on the near-term regulatory and valuation risks. For me, the real question is whether Arc + growing USDC adoption can eventually outweigh that uncertainty. 👀

🗳️ My vote: C — Higher for longer. Even if the Fed doesn’t hike again immediately, the bigger market risk may be rates staying elevated well into 2027. With inflation still sticky and oil above $100, I think the path back to easy money could take longer than markets hope.

Everyone talks about $NVDA. But what if one of the more interesting AI semiconductor plays is sitting underneath the headlines? $ARM jumped ~8%, as its CEO expressed confidence around meeting roughly $2B of chip demand. What makes ARM interesting to me is its position in the semiconductor ecosystem. AI isn’t only about buying more GPUs. As computing expands across data centers, edge devices and next-generation systems, the underlying chip architecture matters too. The bigger picture is what caught my attention: 🔥 GPUs 🔥 Memory 🔥 Networking 🔥 Power 🔥 Chip architecture $ARM sits in that last layer. But after a sharp move, I wouldn’t blindly chase it. The key question for me is whether AI-driven demand can translate into sustained growth rather than just another momentum trade. I’m watching $