To The Moon

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

If you've been watching the semiconductor sector over the past few days and wondering whether the pullback in names like $NVIDIA(NVDA)$ $Broadcom(AVGO)$ $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ signals something is breaking — it doesn't. What's happening right now in the semiconductor space is a textbook structural normalization after one of the most explosive 10-day recoveries in recent memory. And for investors with the patience to understand the difference between a correction and a reversal, the next 7 days could represent one of the cleaner entry windows of the year. Here's the full picture: where semiconductors are, why they're pulling back, and

1.Top 10 Traded Stocks/ETF/SDR by Value $DBS(D05.SI)$ $CapLand IntCom T(C38U.SI)$ $OCBC Bank(O39.SI)$ $Singtel(Z74.SI)$ $CapLand Ascendas REIT(A17U.SI)$ $UOB(U11.SI)$ $YZJ Shipbldg SGD(BS6.SI)$ $SGX(S68.SI)$ $Keppel DC Reit(AJBU.SI)$ $Keppel(BN4.SI)$ 2.Stocks/ETF/SDR Hit 52-week High $UMS(558.SI)$

ALL TRADERS should write down their trading mistakes (emotional mistakes) then as you master them ✅it off. The miillionaire trader means making little to 0 errors while in a trade: The 20 most common trading mistakes (ranked easiest → hardest to fix): 1. Overcomplicating charts (too many indicators) 2. Trading outside your time window 3. Not having a clear entry plan 4. Not defining stop loss before entry 5. Ignoring higher timeframe levels 6. Trading low-quality setups out of boredom 7. Not journaling trades 8. Inconsistent position sizing 9. Moving stop losses (breaking risk rules) 10. Revenge trading after a loss 11. Overtrading (too many trades per day) 12. Chasing price (late entries) 13. Trading based on P&L instead of price action 14. Letting one trade define your day 15. Not th