To The Moon

$Apple(AAPL)$    On April 20, $Apple (AAPL.US)$ An official major personnel change was announced – Tim Cook will step down as CEO on September 1, 2026, and transition to the role of Executive Chairman of the Board. His legendary 15-year tenure leading Apple is coming to an end. At the same time, John Ternus, Senior Vice President of Hardware Engineering with 25 years at Apple, will assume the role of CEO and join the board on the same day. This news quickly drew market attention, with Apple's after-hours stock price falling by about 0.6%, as the company's market cap had just surpassed the $4 trillion mark at the time of the announcement. Under Tim Cook’s 15-year leadership (2011-2026), Apple’s market cap soared

My stock in focus today is $UnitedHealth(UNH)$ , which delivered a solid beat and raised its 2026 outlook above $18.25, ahead of expectations. The stock jumped nearly 7%, signaling renewed confidence after recent challenges. Management also emphasized a prudent approach, suggesting they are not overpromising despite strong results. The key highlight is cost control. Its medical cost ratio came in at 83.9%, well below estimates, showing strong execution despite industry cost pressures. Higher government payments also helped offset weaker Medicaid enrollment. This indicates the company is navigating policy & demand shifts better than peers. Optum remains a weak spot, with profits down as the company restructures, but this looks like a strategic

Here's a comprehensive, bullish counter-article based on the title "Hyperscaler Earnings 'Fraud'? Reality Check: AI Investments Are Paying Off Now". It directly tackles Michael Burry's accusation of "earnings fraud" via extended depreciation on AI GPUs/servers (estimating ~$176 billion understated depreciation from 2026–2028, potentially overstating Meta earnings by ~21% and Oracle by ~27%), while shifting focus to tangible 2025–early 2026 evidence of accelerating cloud/AI revenue, backlog growth, monetization, and productivity signals from hyperscalers as of April 2026.Hyperscaler Earnings "Fraud"? Reality Check: AI Investments Are Paying Off NowMichael Burry has aggressively labeled hyperscaler accounting practices as one of the "most common forms of fraud in the modern era." His core cl

From my perspective, the $Amazon.com(AMZN)$ –Anthropic deal is less a “circular trade” and more about locking in demand. It may resemble the OpenAI– $NVIDIA(NVDA)$ dynamic, but the key is whether AWS revenue accelerates. If that $100B commitment materializes, it becomes a real backlog, not a bubble. I’m more bullish on the Anthropic + Bedrock layer than pure compute. Compute is capital-heavy, but enterprise lock-in is the real moat. As companies embed Claude via Amazon Web Services, switching costs rise — similar to $Microsoft(MSFT)$ ’s model. On $300, a re-rating like $Alphabet(GOOGL)$ is possible but needs clearer

For me, $Apple(AAPL)$ ’s earnings are more a “margin vs narrative” test than a pure upside surprise. iPhone and Mac strength is already well flagged, so the key isn’t just beating EPS—it’s whether Apple can defend its valuation during leadership transition while keeping margins stable. On memory costs, I lean toward Apple passing through part of the increase rather than fully absorbing it. DRAM and NAND inflation is too large to ignore, and absorbing it would hurt long-term earnings power. Modest price increases with stable demand would actually be more bullish, as it reinforces pricing power. Overall, I’m cautiously positive but not expecting a breakout. The real catalysts are WWDC and AI/Siri progress, plus the iPhone Fold cycle in 2026. If App

For me, this transition at $Apple(AAPL)$ is less about replacing Tim Cook and more about signaling the next decade’s priority. Cook’s legacy is clear—he scaled Apple into a $4T machine with unmatched operational efficiency. But that model was built for a smartphone-led era, while AI is faster and more platform-driven. That’s why I see John Ternus as both logical and risky. Logical because Apple’s strength is integrated hardware, which matters if AI shifts on-device. Risky because AI leaders today are defining ecosystems, not just refining products—and Apple has been relatively quiet. My base case: Ternus doesn’t need to reinvent Apple overnight, but he must shift it toward an AI-native ecosystem. If he can integrate silicon, devices, and service

🌟🌟Anthropic's commitment to spend over USD 100 billion on AWS technologies over the next 10 years is a masterclass in infrastructure lock-in, though it carries traits of the interconnected loop that fuels bubble debates. The Circular Economics: $Amazon.com(AMZN)$ is investing an additional USD 5 billion with an option for USD 20 billion more into Anthropic.  In return Anthropic pledges USD 100 billion in AWS spending.  Effectively Amazon is paying to acquire a USD 100 customer for its proprietary Trainium & Graviton chips. The Verdict: By backing both Anthropic and OpenAI, Amazon ensures that regardless of which model wins, the traffic stays on AWS.  Its custom Trainium3 chips offer a 50% cost reduction over NVIDIA , giving i

🌟🌟🌟Pricing Power: NVIDIA, Amazon or Microsoft - Who holds the key?  In the current AI infrastructure landscape, pricing power has shifted as companies move from generic compute to proprietary stacks. $NVIDIA(NVDA)$ still holds the ultimate pricing power at the hardware layer.  Demand for GPUs continues to outpace supply, allowing NVIDIA to maintain huge operating margins of over 60%. $Amazon.com(AMZN)$ is rapidly gaining ecosystem pricing power.  It backs both Anthropic & OpenAI & ensures that regardless of which model wins, the traffic stays on AWS.  Its custom Trainium3 chips is 50% cheaper than Nvidia. $Microsoft(MSFT)$ holds in

Markets opened mixed today as AI infrastructure names continued their selective rotation while geopolitical tensions over the Strait of Hormuz kept oil volatility elevated and risk appetite cautious. 😤 The S&P 500 hovered near record levels but showed internal divergence, with Nvidia and Meta holding firm on AI momentum while defense and energy plays saw inflows on the latest US-Iran developments. Emerging markets remained resilient, with Asia’s tech hubs pulling fresh capital on dollar dips to 94 and Latin America’s commodity flows adding 8% tailwinds. QT’s $1T liquidity buffer limited downside, but any escalation in Hormuz news could quickly amplify VIX moves toward 25. Here’s what’s moving the tape, the names worth watching, trading setups, and my own game plan for the session. 📊⚡ K

My stock in focus today is $Astera Labs, Inc.(ALAB)$ , which surged over 9% on the back of strong catalysts. The main driver was Amazon.com expanding its AI investment into Anthropic, with potential commitments up to $25 billion and massive long-term cloud spending. This directly strengthens demand visibility across the AI infrastructure stack, where Astera is a key connectivity player. This move feels more structural than speculative. As hyperscalers scale AI, data movement and interconnect become critical bottlenecks—exactly where Astera Labs Inc. is positioned. The price tar