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OpenAI’s next major training run is reportedly moving to $NVDA Vera Rubin this fall. That tells me one thing: The AI race is still controlled by compute. Sarah Friar also said compute remains sold out through much of 2027, with power, land, chips and talent all becoming bottlenecks. This is why I don’t view $NVDA as just a chip stock. $NVDA is becoming the core infrastructure layer of the AI economy. The market keeps talking about models. But the real war is underneath: GPUs Power Data centers Networking Talent Land The stocks to watch: $NVDA $MSFT $AMD $AVGO $TSM $ORCL $AMZN My view is simple: AI demand is not slowing. The bottleneck is supply. Follow the companies controlling compute. Not financial advice.

🚨 $ASML is now connected to Elon Musk’s next big chip plan. $ASML is reportedly bringing Elon Musk into a closed-door employee conference to discuss the $55B Terafab project tied to $TSLA and $SPCX. The key point is simple: Terafab is targeting leading-edge 2nm chips for AI, robotics and space compute. This is not just about $TSLA cars. This is about Musk trying to control the future of AI hardware. Watch: $ASML / $TSLA / $SPCX / $NVDA / $TSM Not financial advice.

$AMAT is showing real strength inside the semiconductor equipment trade. 🚨📊 On the 15-minute chart, Applied Materials broke out from the 448–454 consolidation zone, reclaimed the 463–464 area, and pushed all the way toward 491. That is a clean momentum move. Right now, $AMAT is trading near the highs around 489–490. Buyers are still in control, but after this kind of move, I would not chase blindly at the top. The level I am watching first is 480. If $AMAT pulls back and holds around 480, it would show that buyers are still defending the breakout. The real key support is 473. As long as $AMAT stays above 473, the short-term bullish structure remains intact. But this is not just about one stock. When $AMAT moves like this, the market usually starts watching the entire semiconductor equipment and AI chip supply chain. Related names to watch: $ASML — EUV lithography $LRCX — etch and deposition tools $KLAC — inspection and process control $TSM — advanced chip manufacturing $INTC — foundry expansion $NVDA — AI GPU demand $AMD — AI accelerators $AVGO — custom AI chips and networking $MRVL — AI networking and custom silicon $MU — AI memory and HBM $SMH $SOXX — semiconductor ETFs My view is simple: AI chip demand does not stop at GPUs. It spreads into fabs, tools, wafers, advanced processes, memory, networking, and full semiconductor capex. That is why $AMAT matters. Strong chart. Strong sector rotation. Strong AI infrastructure read-through. But after a sharp move, entry price still matters. I would rather wait for a clean pullback near support than chase strength at the top. 🚀📊 Not financial advice.

$AVGO short-term structure is still bullish. 🚨📊 On the 15-minute chart, Broadcom has completed a strong breakout after consolidating around the 416–424 area. The stock pushed through 437, 442, and 448, then reached a high near 460.58. This shows strong short-term buying pressure. Right now, $AVGO is consolidating near the upper range around 455, which means bulls are still in control, but the price is already close to the short-term high. I would not chase aggressively at 455–460. My plan is simple: Buy zone: 442–443 This is the pullback area I would watch for a better risk/reward entry. Key support: 431–432 As long as $AVGO holds above this area, the short-term bullish structure remains intact. If $AVGO breaks and holds above 460, the next upside move could open. But if price fails near 460, I would watch for a pullback toward 442. My view is simple: Trend is strong. Momentum is bullish. But the price is near the high. I would rather wait for a clean pullback than chase strength at the top. 🚀📊 Not financial advice.

$TSM remains one of the most important AI semiconductor stocks in the market. 🚨📊 Fundamentally, TSMC is not just a chip manufacturer. It is the world’s most important advanced foundry, producing leading-edge chips for companies like $NVDA, $AAPL, $AMD, $AVGO and many other AI and semiconductor leaders. In the AI era, this matters because almost every major AI chip still needs advanced manufacturing. GPUs. Custom AI chips. Apple Silicon. High-performance computing chips. Data center processors. A large part of that ecosystem depends on TSMC. The latest numbers show how strong the demand is. TSMC reported Q1 2026 revenue of $35.90B, up 40.6% year over year. Net income and diluted EPS both increased 58.3% YoY, with gross margin at 66.2% and operating margin at 58.1%. 3nm accounted for 25% of wafer revenue, showing strong demand for advanced nodes. (台积电) This is why $TSM is so important. It sits behind the entire AI hardware cycle. $NVDA may design the GPUs. $AAPL may design Apple Silicon. $AMD and $AVGO may design AI and custom chips. But TSMC is the company manufacturing many of the most advanced chips. That makes $TSM one of the cleanest ways to play the long-term AI semiconductor supply chain. Now look at the chart. Major trend: $TSM remains in a clear bullish structure. The stock rebounded strongly from around 310, broke through multiple key levels, and pushed to a new high near 431. Short term: The stock is now consolidating near new highs. Momentum remains strong, but after this kind of move, I would not chase aggressively at elevated levels. My plan is simple: Buy zone 1: 386 This is the first pullback area I would watch. Buy zone 2: 358–359 This is the deeper buy zone and also the key structural support. Key support: 358–359 If $TSM holds above 358–359, the bullish structure remains intact. If the daily or weekly candle closes below 358, I would reduce risk and wait for a deeper reset toward 338–340 before reassessing. My view is simple: Strong AI demand. Strong advanced-node leadership. Strong margin profile. Strong semiconductor supply-chain position. Strong bullish chart structure. But even great companies need good entry points. I would rather buy weakness near support than chase after a major move. 🚀📊 Not financial advice.

🚨 OPTION WATCHLIST — 6/1/2026 This week’s focus is clear: Breakouts. Gap fills. Call flow. Momentum setups. I’m not chasing random names here. I’m watching stocks where the chart, flow, and key levels are starting to line up. $PLTR $PLTR is breaking out of a descending triangle on the weekly chart. Call flow is starting to come in aggressively. Key level: $160 If $160 breaks and holds, I’m watching for a move toward: $185 → $200 Indicators look decent here. This is one of the cleaner breakout setups on watch. $HOOD $HOOD is breaking out of a weekly downtrend channel. The stock still has a weekly gap to fill from: $96.26 → $99.34 Call buyers are showing up. If $101 breaks, the gap fill could turn into another upside momentum move. $TEAM $TEAM is breaking out of a daily consolidation channel. Software names are starting to catch momentum again. Two upside gaps remain: $109.75 → $114.80 $125.50 → $135 If buyers continue stepping in, this could become a strong software recovery setup. $IBM $IBM remains in a major uptrend. The stock is approaching the $300 resistance area, and it is already trying to break above it pre-market. Key level I’m watching: $325 A break above $325 could open the door for a move toward: $350+ Only issue: stock is already in the overbought zone, so risk control matters here. $NOW Software stocks are on high watch, and $NOW is part of that theme. Key breakout level: $125 If $125 breaks, I’m watching for upside toward: $140+ Indicators look decent, but confirmation is needed. $UNH $UNH is flagging on the daily chart while testing 9 EMA support. Key breakout level: $385 If $385 breaks, I’m watching for a move toward: $400+ Clean setup if the 9 EMA continues to hold. $META $META is filling half of its daily gap. High watch for calls above: $640 If $640 breaks, I’m watching for a move toward: $645 → $668 gap fill Indicators look decent here. $AVGO $AVGO broke all-time highs last week. This is still one of the strongest AI infrastructure names on the market. Key level: $450 If $450 breaks and holds, I’m watching for upside toward: $475 → $500 High watch. $MSFT $MSFT is breaking out of a daily bull flag. The stock already cleared the $430 resistance area. Key level now: $450 If $450 breaks, I’m watching for a gap-fill move toward: $480 Indicators look strong. This is still one of the cleanest mega-cap tech setups. $ZS $ZS sold off after earnings. Now the key level is: $140 If $140 breaks, I’m watching for a move toward the earnings gap fill. High watch here, but it needs confirmation first. My view: The strongest themes this week: Software momentum AI infrastructure leaders Breakout continuation setups Gap-fill opportunities Call flow confirmation But I’m not chasing every green candle. For options, the rule is simple: Wait for the level. Wait for confirmation. Control risk. Do not force trades. The best setups this week for me: $PLTR, $AVGO, $MSFT, $META, $HOOD Not financial advice. Just my watchlist and key levels. 📊🔥

$MRVL is becoming one of the most important AI infrastructure names in the market. 🚨📊 Fundamentally, Marvell is no longer just a traditional semiconductor company. It is positioned directly inside the AI data center buildout, especially in AI networking, optical interconnects, custom silicon, and high-speed data movement. This matters because the AI trade is not only about GPUs. Large AI clusters need GPUs to compute, but they also need fast networking to move data between GPUs, servers, racks, and data centers. That is where $MRVL becomes important. The company’s latest earnings showed strong AI momentum, with data center revenue becoming the main growth engine. Management also pointed to exceptional AI-related bookings and raised future revenue expectations. Now look at the chart. Major trend: $MRVL has clearly shifted into a strong bullish weekly structure. The stock broke out from a long consolidation zone and pushed toward the 218 area. I do not see a clear topping or reversal signal yet. Short term: The stock is now consolidating near new highs after a massive move higher. Bullish momentum is still present, but the current price is elevated, so I would not chase aggressively here. My plan is simple: Buy zone 1: 163–164 This is the first pullback area I would watch. Buy zone 2: 129–130 This is the deeper buy zone and also the most important weekly support level. Key support: 129–130 If $MRVL holds above 129–130, the bigger bullish structure remains intact. If the weekly candle closes below 129, I would reduce risk and wait for a deeper reset toward 105–106 before reassessing. My view is simple: Strong AI networking story. Strong data center demand. Strong custom chip opportunity. Strong weekly trend. But even great companies need good entry points. I would rather buy weakness near support than chase after a major move. 🚀📊 Not financial advice.

$NVDA remains the most important AI infrastructure stock in the market. 🚨📊 Fundamentally, Nvidia is no longer just a GPU company. It has become the platform layer of the AI economy. Nvidia controls the most important parts of the AI compute stack: GPUs, CUDA, AI networking, NVLink, Blackwell, Vera Rubin, data center systems, robotics, autonomous driving, and Physical AI. That matters because AI does not run on hype. AI runs on compute. And right now, Nvidia is still the company sitting at the center of that compute demand. The latest numbers prove it. Nvidia reported record Q1 FY2027 revenue of $81.6B, up 85% year over year. Data Center revenue reached $75.2B, up 92% year over year. Data Center compute revenue was $60.4B, up 77% year over year. Data Center networking revenue was $14.8B, up 199% year over year. The key point is simple: The AI story is no longer only about GPUs. Networking is becoming one of the fastest-growing parts of Nvidia’s business. As AI clusters get larger, GPUs need to communicate faster. That means more demand for NVLink, Spectrum-X, InfiniBand, Ethernet, optics, and full AI data center infrastructure. This is why $NVDA is different from most semiconductor companies. Most chip companies sell components. Nvidia sells the full AI infrastructure platform. But the chart matters too. From the weekly chart, $NVDA remains in a bullish structure, but after a strong move higher, the stock is now pulling back from the upper range. Current price is around 211, and the first support area is 208–211. If $NVDA holds above this zone, the pullback still looks healthy. My plan is simple: Buy zone 1: 208–211 This is the first support area I would watch. Buy zone 2: 191–192 This is the deeper buy zone and also the most important weekly support level. Key support: 191–192 If $NVDA holds above 191–192, the bigger bullish structure remains intact. If the weekly candle closes below 191, I would reduce risk and wait for a deeper reset toward 178–180 before reassessing. My view is simple: $NVDA is still the king of AI infrastructure. But even the best company in the market needs good entry points. I would rather buy weakness near support than chase after a major move. Strong fundamentals. Record AI revenue. Massive data center demand. Exploding networking growth. Bullish weekly structure. But risk management always comes first. 🚀📊 Not financial advice.

Peter Lynch’s real edge was never about predicting tomorrow’s stock price. His real edge was understanding one simple idea: Before you buy a stock, you must understand the company. Too many investors only look at charts, headlines, or trending tickers. But a stock is not just a symbol on a screen. A stock represents a real business. If you don’t understand how the company makes money, where its growth comes from, who its customers are, and why it can keep winning, then you are not investing. You are gambling. The best stocks usually have a few things in common: Clear business model. Consistent revenue and earnings growth. Strong industry position. Reasonable valuation. Real competitive advantage. A market that has not fully priced in the long-term story. That is why I focus on the business behind the ticker. $NVDA is not just a chip company. It is the backbone of AI infrastructure. $MSFT is not just a software company. It is a cloud, enterprise AI and productivity ecosystem. $AAPL is not just an iPhone company. It is a global hardware, services and user ecosystem. $TSM is not just a manufacturer. It is the foundation of advanced chip production. $AVGO is not just a semiconductor company. It is a key player in AI networking and custom chips. Peter Lynch’s lesson is clear: A great stock is not great because everyone is talking about it. A great stock is great because the company’s long-term growth logic is clear. Retail investors do not have more capital than institutions, but they do have one advantage: flexibility. Institutions are often limited by size, liquidity, mandates, and quarterly performance pressure. Individual investors can research earlier, move faster, and hold with more patience when the long-term story remains intact. Real stock picking is not about chasing hype. It is about asking: What does this company do? Where does its revenue growth come from? Does it have a real competitive moat? Is valuation still reasonable? If the stock drops, has the business actually changed? Would I still want to own it after a market correction? Short-term prices are driven by emotion. Long-term stock performance is driven by earnings, growth, and business quality. That is the core of Peter Lynch’s investment philosophy: You are not buying a ticker. You are buying the future growth of a business. The market will always have hype. What matters is whether you can see the real business before the crowd fully prices it in.

This is one of the strangest divergences we have ever seen in the market. The S&P 500 $SPY 3-month implied correlation has dropped to around 15%, the lowest level on record. At the same time, the Nasdaq 100 $QQQ 12-month implied correlation has fallen to 25.5%, also an all-time low. This is NOT normal. What does this mean? Stocks inside the same index are no longer moving together. The market looks strong on the surface, but underneath, leadership is extremely narrow. A small group of mega-cap technology stocks is carrying the entire market. Look at names like: $NVDA $MSFT $AAPL $AMZN $META $GOOGL $AVGO These leaders are holding up the index. But many other stocks are not participating. This is why you NEED to be selective. Do NOT blindly buy everything. Do NOT assume every stock will follow $SPY and $QQQ higher. In this type of market: Strong leaders can keep leading Weak stocks can stay weak Rotation becomes very important Stock picking matters more than ever Risk management is critical Market leadership has rarely been this narrow. This is not the time to be lazy. Focus on strength. Focus on revenue. Focus on profits. Focus on companies that actually deserve to lead. The index may look healthy. But under the surface, this market is divided. 📊

🚨 The best-performing S&P 500 stocks of 2026 are not the names most people expected. $SNDK Sandisk: +608% Current price: $1695.00 $MU Micron: +239% Current price: $971.02 $DELL Dell: +223% Current price: $420.93 Everyone was watching $NVDA. Everyone was chasing the obvious AI trade. But the real move was hiding underneath the surface: Memory. Storage. Servers. AI infrastructure. That is the lesson. AI is not just about GPUs. AI needs HBM, DRAM, NAND storage, enterprise servers, data-center hardware, and massive infrastructure buildout. That is why $SNDK, $MU, and $DELL exploded. The market thought these were old hardware names. Wrong. $SNDK is a storage cycle + AI data demand story. $MU is a memory / HBM / DRAM cycle story. $DELL is an AI server and enterprise infrastructure story. These are not boring legacy tech stocks anymore. They are the hidden picks-and-shovels behind the AI boom. But here is where most people make the mistake: After a stock is already up 200%–600%, you do not blindly chase the green candle. You wait. You let the market cool off. You watch for pullbacks. You look for base formations. You buy the strongest leaders when fear comes back. Right now, my focus would be: $MU — best pure memory / HBM setup $DELL — AI server infrastructure leader $SNDK — high-momentum storage winner, but needs pullback $NVDA — still the AI king, but only on dips $AVGO — custom AI chips + infrastructure $STX / $WDC — storage cycle watchlist names The AI trade is not over. It is just moving beyond GPUs. The next winners may come from the companies powering the full AI infrastructure stack. 🚀

The market should not ignore this. 🚨📊 $SPY and $QQQ are both showing bearish divergence on the daily timeframe. This does not kill the bull market. But it does tell us the market is getting tired. When indexes keep making new highs while momentum weakens, you do not chase blindly. You protect profits. The next move could be sideways chop, consolidation, or a dip before the trend continues. The weakest area will likely be the stocks that already went too far too fast. Parabolic AI names. Overextended technology. Crowded momentum trades. The better opportunities may come from base formations, laggards, healthcare, utilities, software, and clean Stage 2 setups. My plan: Trim, not exit. Protect profits, not panic. Stay balanced, not emotional. Buy the best names when the dip comes. The next pullback could be where serious money is made. 💪🔥

The market should pay attention to the space sector. 🚨📊 Blue Origin’s New Glenn failure creates a real timing problem for Amazon $AMZN and Project Kuiper. Kuiper needs satellites in orbit. Satellites need reliable launch capacity. Launch delays give Starlink and SpaceX more time to extend their lead. That is why this matters beyond Blue Origin. Public space names like $RKLB , $ASTS , $RDW and $LUNR could see more attention as investors look for companies with real execution in satellites, launch, lunar infrastructure and space communications. SpaceX may still be the leader. But every Blue Origin setback makes the rest of the space market more interesting. 🚀🔥

This is bigger than people think. 🚨 $DELL did not just report strong earnings. It showed the market that AI infrastructure demand is exploding. AI-optimized server revenue was up 757% YoY. That number tells you everything. The AI trade is moving beyond $NVDA . It is spreading into servers, storage, networking, data centers and enterprise infrastructure. Dell is sitting directly in that demand curve. Full-year guidance was raised. Q2 guidance beat. Cash flow is strong. AI server guidance moved higher again. The message is very clear: AI infrastructure spending is not slowing down. $DELL just became one of the clearest ways to see that demand in real numbers. 📊🚀

This is bigger than people think. 🚨 $SIVE is not moving because of hype. It is moving because AI infrastructure is creating a new supply chain bottleneck. The market already understands GPUs. But it is still early in understanding photonics. $NVDA wants far more InP laser capacity for future AI cluster networking. The problem is that the supply chain may not be able to scale fast enough. That means companies sitting inside this bottleneck could become much more important. $SIVE makes the exact type of lasers needed for 1.6T+ transceivers and CPO programs. If AI networking demand keeps accelerating, this could become a very real shortage story. This is why the $SIVE thesis looks stronger than ever. 📊🚀

Here is why $PENG is ripping after-hours. 🚨📊 Dell $DELL just delivered one of the strongest AI infrastructure reports of the year. Record revenue. Massive AI orders. AI server revenue exploding. Full-year guidance raised again. The message from $DELL is very clear: AI infrastructure demand is not slowing down. That is exactly why $PENG matters. Penguin builds enterprise AI clusters in the same demand cycle Dell is selling into. Same AI server boom. Same sovereign AI customers. Same AMD EPYC backbone. Same infrastructure spending wave. $DELL just validated the thesis tonight. If Dell is right, $PENG may still be one of the most underpriced AI infrastructure names in the market. 🚀🔥

Snowflake $SNOW just made a major AI infrastructure move. 🚨📊 The company reported Q1 earnings and announced a $6 billion commitment to AWS over the next 5 years. Q1 numbers: Product revenue: $1.33B Product gross profit: $947.5M GAAP operating income: -$326.2M GAAP EPS: -$0.86 The loss is still there, but the real story is AI. Snowflake also signed a multi-year strategic collaboration with AWS to accelerate enterprise agentic AI adoption. This means $SNOW is trying to become one of the core data platforms for companies building AI apps, AI agents and enterprise automation. AI needs data. Snowflake wants to control that data layer. 🤖☁️

$NVDA is no longer just a semiconductor stock. 🚨 It is now one of the most important platform companies in the AI era. Nvidia sits at the center of GPUs, networking, AI software, robotics, autonomous driving and Physical AI. That is why the market is giving $NVDA a valuation that looks almost impossible compared with the rest of the chip industry. This is what happens when one company controls the platform layer of the next technology cycle. 📊🔥

Apple $AAPL is no longer just an iPhone story. 🍎🚨 BofA raised its price target on Apple to $380 from $330 and kept a Buy rating. The reason is simple: In the agentic AI era, the winner may be the platform that controls user intent, personal context, apps, payments, identity and trust. That platform is Apple. If AI assistants become the new front door to search, shopping, apps, payments and daily workflow, Apple could have massive leverage over the entire digital economy. 📱🤖📊

🇺🇸📈 The Musk trade may be getting bigger. If Tesla and SpaceX move closer together, $TSLA may no longer be valued as just an EV stock. The market could start pricing in AI, robotics, energy storage, satellites, space logistics, and government contracts. Upside: a stronger Musk ecosystem premium. Risk: valuation, execution, and regulation. Is $TSLA still just a car company, or the center of Musk’s tech empire? 🚀📊