BREAKING: Elon Musk has reportedly discussed possibly folding Tesla, $TSLA, and SpaceX together, per CNBC
BREAKING: Elon Musk has reportedly discussed possibly folding Tesla, $TSLA, and SpaceX together, per CNBC
The literal White House is telling you to prioritize these 5 sectors amongst your portfolio… 1. Space ~ $RKLB, $ASTS, $RDW, $PL 2. Neo-Cloud ~ $IREN, $NBIS, $APLD, $CIFR 3. Rare Earths ~ $USAR, $UUUU, $MP 4. Energy/Nuclear ~ $TE, $EOSE, $OKLO, $OSS 5. Drones/Robotics ~ $ONDS, $TSLA, $NOK, $AVAV These names are going to be the next list of setups that’ll create generational wealth for many. Don’t miss these opportunities…
Well $VPG ended up tripling since my thesis post. I got the ASP wrong in my original thesis, was $150 mass production rather than ~$750 midpoint quoted by management. And $TSLA design out risk made me cut concentration. But 3x regardless not too shabby. https://t.co/ksB8ZrnnEg
I’m fully convinced the Stock Market secretly revolves around building the Death Star and Battle Droids: $RKLB / $SPCX / $PL = Death Star $LASR / $SIVE = Laser Beams $TSLA / Unitree = Battle Droids https://t.co/C53qKjWrS8
PORTFOLIO holdings UPDATE — May 2026 $PLTR — AI operating system with government + commercial compounding. The original conviction hold. $CLS — Advanced packaging demand accelerating. Every AI chip cycle runs through here. $ONDS — IoT connectivity thesis validated. Small-cap patience rewarded. $NBIS — Neocloud identity forming in Europe. GPU cloud + AI services stack underappreciated. $HIMS — Consumer health disruption intact. GLP-1 tailwinds + DTC model building durable margins. $OKLO — Microreactor backlog growing. AI data center power demand makes this the logical baseload answer. $RKLB — Launch cadence strong. SpaceX IPO catalyst hasn’t even landed yet. $SOFI — Neobank evolving into a full financial platform. The flywheel is strengthening. $IONQ — Trapped-ion architecture holds its edge. Volatility is the cost of entry on this one. $AAOI — 800G to 1.6T upgrade cycle is the thesis. Hyperscaler capex flows directly here. $ABCL — AI-driven drug discovery still undervalued vs pure-play AI names. $MU — HBM ramp for AI training is the re-rating catalyst. Cyclical + secular tailwinds aligned. $AMZN — AWS AI layer compounding quietly. Margin expansion underway. $QS — Solid-state battery timeline extending but the TAM remains massive. High conviction, high patience. $GLXY — Institutional crypto infrastructure play. Regulatory clarity improving. $RDW — Quiet beneficiary of in-space manufacturing. Government contracts provide the floor. $META — Ad machine funding a long-term AI moat. Execution consistently underestimated. $SOUN — Voice AI expanding into enterprise. Execution needs to match the narrative. $PATH — Enterprise budget pressure real. Monitoring AI-native competition closely. $JOBY — eVTOL certification is the gating factor. This is a 2027+ story. $TSLA — Robotaxi and FSD are the real thesis now. Energy storage remains overlooked. $RR — Richtech Robotics bringing AI-powered service automation to hospitality and food service. Robotics adoption cycle still early. $PNG — Kraken Robotics underwater technology and defence sonar thesis building. Watching for contract catalysts to confirm the move. This portfolio is built around long-duration themes: ⚡ AI Infrastructure ☁️ NeoCloud 🚀 Space Economy ⚛️ Quantum 🔋 Energy Transition 🤖 Robotics 🧬 AI Healthcare Volatility is noise. Execution + patience is the edge. Not financial advice.
THE THEMATIC WATCHLIST — 2025 EDITION Every mega-trend. Every sector. One list.This is how I’m thinking about capital allocation across the next cycle 👇 AI → $GOOGL $PLTR $NVDA $COHR Chips → $TSM $ASML $AMD $MU $SNDK Space → $RKLB $ASTS $LUNR $RDW $PL Crypto → $COIN $BTC $ETH $SOL Energy → $GEV $CEG Drones → $ONDS Nuclear → $CCJ $OKLO $VST $SMR Defense → $KTOS $AVAV $AMTM Robotics → $SYM $TSLA $ISRG Batteries → $TE $EOSE $QS $FLNC Quantum → $QBTS $IONQ $RGTI $INFQ Healthcare → $NVO $UNH $HIMS Data Centres → $IREN $CIFR $NBIS $CRWV Critical Minerals → $TMQ $UUUU $CCJ The next decade won’t be won by picking one sector. It’ll be won by understanding how they connect. AI needs chips. Chips need power. Power needs nuclear. Nuclear needs uranium. Uranium needs miners. It’s all one trade — just different layers. Know the map. Size accordingly. Not financial advice.
The U.S. President & the literal White House are telling you that these 5 sectors are next to squeeze… 1. Space ~ $RKLB, $ASTS, $RDW, $FLY, $LUNR 2. AI Infrastructure ~ $CRWV, $NBIS, $IREN, $APLD 3. Quantum Computing ~ $IBM, $GFS, $QBTS, $RGTI 4. Rare Earths/Energy ~ $USAR, $UUUU, $OSS, $EOSE, $HYLN 5. Robotics ~ $NOK, $TSLA These are your next chances to make generational wealth, & you cannot miss it. Save this for later…
Physical AI is the next wave. The software AI trade is maturing. The next capital cycle flows into machines that move, sense, and act in the physical world. Here’s the complete Physical AI stack — save this list THE BRAIN $NVDA → GPUs + Jetson processors + Omniverse digital twins + Isaac robotics stack PERCEPTION (LiDAR + Vision) $OUST → digital LiDAR for 3D robot mapping & navigation $AEVA → 4D LiDAR — distance AND velocity sensing $HSAI → solid-state LiDAR for autonomous robot perception $MBLY → Mobileye AI vision for robotic navigation $TDY → machine vision imaging for industrial robot guidance $AMBA → low-power AI chips for robotic computer vision $ADI → sensors + power chips for robot perception & actuation $SOUN → voice AI and conversational interfaces for human-robot interaction THE BODY (Robotics Platforms) $TSLA → Optimus humanoid robot $SYM → AI mobile robot fleets for warehouse automation $SERV → AI sidewalk robots for last-mile urban logistics $TER → collaborative robot arms for AI manufacturing $ZBRA → autonomous mobile robots for warehouse logistics $ROK → industrial automation platforms integrating AI robotics $PATH → UiPath — AI-powered automation orchestration connecting physical and digital workflows SURGICAL ROBOTICS $ISRG → da Vinci AI-assisted surgical robots $SYK → Mako AI robotic-arm for surgical navigation $PRCT → AquaBeam robotic systems for minimally invasive procedures The playbook: → Semiconductors enabled the software AI wave → Physical AI needs sensors, actuators, and edge compute at scale → This is the next infrastructure supercycle — just moving atoms, not bits Not financial advice.
The clearest sign you can get 😳 “Physical AI is the next wave.” — Jensen Huang. Here’s the complete Physical AI list - save it: $NVDA: GPUs, Jetson processors, Omniverse digital twins and Isaac stack for physical AI robots. $OUST: digital LiDAR sensors for robot 3D mapping and navigation. $TSLA: Optimus humanoid robots for general-purpose physical tasks. $SYM: AI mobile robot fleets for warehouse automation. $SERV: AI sidewalk robots for last-mile urban logistics. $TER: collaborative robot arms for AI manufacturing automation. $CGNX: machine vision cameras for industrial robot perception. $AMBA: low-power AI chips for robotic computer vision. $AEVA: 4D LiDAR sensors for robot distance, velocity and mapping. $HSAI: solid-state LiDAR sensors for autonomous robot perception. $ISRG: AI-assisted da Vinci surgical robots for precision physical procedures. $ZBRA: AI autonomous mobile robots for warehouse logistics automation. $ROK: industrial automation platforms integrating AI robotics control. $ADI: sensors and power chips for robot perception and actuation. $ONDS: unmanned robotic systems for aerial and ground physical AI. $SYK: Mako AI robotic-arm systems for surgical navigation. $PRCT: AquaBeam robotic systems for minimally invasive prostate procedures. $LAZR: Luminar LiDAR sensors for 3D robot and autonomy perception. $MBLY: Mobileye AI vision systems for robotic navigation. $TDY: machine vision cameras and imaging for industrial robot guidance. -BP Please note: this is not financial advice.
Dan Ives believes there is an 80% chance that SpaceX merges with Tesla in 2027. $TSLA https://t.co/K42iXCIaGY
If you’re looking to create generational wealth in 2026 then look no further than these 8 stocks: 1. Iren ~ $IREN 2. Oklo Inc ~ $OKLO 3. Rocket Lab ~ $RKLB 4. ServiceNow ~ $NOW 5. CoreWeave ~ $CRWV 6. Nebius ~ $NBIS 7. USA Rare Earth ~ $USAR 8. Tesla ~ $TSLA All these names are on the brink of a euphoric breakout. Don’t miss your next life changing opportunity…
Who could have thought China was holding all the cards over humanoid mass production? Really if America sees a future in $TSLA or Figure robotics programs. Maybe it’s time to start pouring more funding sovereign rare earths supply chains. Whatever we’re doing now isnt enough. https://t.co/VQXh9otLMi
In 2024 I called out $TSLA at $140. Then in 2025 I called out $AMD at $76. Now for 2026 my next callout to change lives will be $NOW. All while sitting at its LOWEST valuation ever ServiceNow has: - Grown revenues +22% YoY. - Partnered with Anthropic, Nvidia, Amazon & more. - Improved FCF by +44% YoY. - Built a $6B cash pile. Even the $NOW CEO, Bill McDermott bought $3M worth of shares back in February. Remember this post when you see $NOW squeeze later this year. Don’t miss it…
The $NVDA CEO, Jensen Huang just revealed the full 5 layer stack the AI super cycle is built upon… These 5 layers include: 1. Energy ~ $CEG, $VST, $OKLO, $EOSE, $GEV 2. Chips & Computing ~ $NVDA, $AMD, $TSM, $MU, $ARM 3. Cloud & Data Centers ~ $NBIS, $IREN, $CRWV, $APLD, $CIFR 4. AI Models ~ $MSFT, $GOOGL, $META, $AMZN, $ORCL 5. Applications ~ $PLTR, $TSLA, $NOW, $SNOW, $CRM Without these companies there is no AI; which is exactly why these names will continue to see massive long term growth. Save this for later…
$TSLA https://t.co/8ZCpYuz6xA
$TSLA This can be the difference between serious injury & walking away from a crash
5 STOCKS BUILT TO LEAD THIS MARKET The names institutions are watching. The names retail is sleeping on. Here’s why these five aren’t just holdings — they’re market leaders in the making. $NVDA — The Infrastructure of Intelligence → Every AI model runs on Nvidia silicon → Blackwell demand is backlogged into 2026 → Data center, sovereign AI, robotics — all roads lead here → Not a chip company. It’s the picks & shovels of the entire AI supercycle $MU — Memory is the Next Bottleneck → HBM3E demand exploding as AI models scale → Direct Nvidia supply chain play — feeds the beast → Massive pricing power cycle just beginning → Most underappreciated AI infrastructure stock in the market right now $PLTR — The Software Layer Governments Trust → AIP platform turning enterprise & defense data into decisions → US Gov + NATO contracts = durable, sticky revenue → Becoming the operating system of AI-powered warfare & intelligence → Commercial growth accelerating — this is still early innings $TSLA — More Than a Car Company → FSD + Robotaxi = a monetization model Wall Street hasn’t fully priced → Optimus humanoid robot could be the largest revenue opportunity in history → Energy storage division quietly compounding → Love it or hate it — the optionality here is unmatched $GOOG — The Sleeping Giant Waking Up → Gemini integration across Search, Cloud, YouTube & Workspace → Google Cloud catching fire — enterprise AI deals accelerating → Waymo is the most undervalued autonomous asset on the planet → Trading at a discount to peers despite owning some of the best AI infrastructure on earth → Each one owns a critical layer of the next decade’s economy → Infrastructure. Data. Software. Autonomy. Intelligence. → These aren’t trades. They’re positions. Not financial advice.
Play to watch in Physical AI 🤖 Robotics & Automation Humanoids, service robots, warehouse bots, field robotics Core Platforms & Robotics Builders $TSLA – Optimus humanoid platform $XPEV – Humanoid robotics + autonomy $HYMTF – Advanced humanoid R&D $RR – Service & field robotics $SERV – Last-mile delivery robots Warehouse & Logistics Automation $SYM – AI-powered warehouse robotics $AMZN – World’s largest robotics deployment $ZBRA – Vision, tracking, automation infrastructure 🚗 Autonomous Vehicles AI that drives, navigates, and makes real-time decisions Autonomy & Driving Intelligence $TSLA – Full-stack autonomy $XPEV – AI-driven autonomous driving $MBLY – Vision-based autonomy platform $QCOM – Edge AI compute for vehicles Perception for Autonomy $INVZ – Automotive LiDAR $LAZR – Long-range LiDAR $OUST – Digital LiDAR $ARBE – 4D imaging radar 🏭 Smart Factories Industrial robots + AI-driven production systems Industrial Robotics & Control $ABB – Industrial robots & automation $TER – Collaborative robots (cobots) $HON – Industrial controls & sensing $ROK – Factory software & automation Manufacturing Intelligence $PATH – Process automation bridging digital → physical $PLTR – AI-driven industrial decision orchestration 🏥 Healthcare Precision, repeatability, and high-margin Physical AI Medical Robotics & Surgical Systems $ISRG – da Vinci surgical robotics leader $PRCT – Next-gen robotic surgery $SYK – Robotic surgical instruments $MDT – Robotic-assisted medical devices 🛰️ Defense & Space Autonomous systems in high-risk, high-complexity environments Autonomous Defense Platforms $AVAV – Unmanned aerial systems $RCAT – Autonomous drones $UMAC – Tactical autonomous vehicles $ONDS – Secure AI communications Field, Extreme & Space-Adjacent Robotics $OII – Subsea robotics & offshore autonomy $FARO – 3D sensing, mapping & inspection $RR – Robotics for extreme environments 🧠 Foundational Layer (Powers All Categories) Brains behind Physical AI $NVDA – AI compute backbone $AVGO – Custom silicon + AI networking $QCOM – Edge AI processing Physical AI isn’t one sector. It’s a stack deployed across five massive industries, each monetizing autonomy in different ways. Most capital is still chasing software AI. Robotics + real-world deployment is the next leg. Not a financial advice, Like and share if you like .
10. $TSLA - Tesla The endgame. Optimus Gen 3 enters production this summer with 37 joints, 1.2 m/s walking speed, and a redesigned hand for precision tasks. Tesla is converting Fremont's Model S and Model X lines into a dedicated Optimus factory with capacity for 1 million robots per year. A second-generation line at Giga Texas targets 10 million units. Consumer sales expected by end of 2027 at a long-term target of under $20,000. Over 1,000 Optimus units are already working inside Tesla factories.
0DTE Watch — If Market Bounces Today, It’s monthly OPEX Friday. Futures red. Inflation fear. But dip buyers have shown up 7 weeks straight. If the bounce comes — here’s where the 0DTE setups live. $MU $TSLA $GOOG $NVDA $PLTR
I do like Harmonic Drive (6324) as the Western Leader (eg. harmonic reduction gear) at ~$4.2B MC. Very large part of robotics/humanoid BOM value. I actually like Leader Drive more (since it's cheaper for mass production, covers more parts). And maybe Sanhua for $TSLA Optimus. But prefer to advance Western supply chains with my capital over ones in China. It's not just profiting off markets, but what you want to get accomplished as well (helping advance US supply chains and Robotics leaders).
BREAKING: Trump has disclosed thousand of transactions. He owns more than a million of $NVDA, for example. He also owns, $TSLA, $ADBE, $NOW, $AMZN, $AAPL, and much more. The transactions are from 2026, and most are up to $50,000 purchases.
Here are the robotics stocks grouped by segment Robot Automation $ROK – Rockwell Automation $ZBRA – Zebra Technologies $CGNX – Cognex $PATH – UiPath $PEGA – Pegasystems Medical Robotics $MDT – Medtronic $PRCT – PROCEPT BioRobotics $OMCL – Omnicell $SYK – Stryker $ISRG – Intuitive Surgical Industrial Robotics $TSLA – Tesla $HON – Honeywell $TER – Teradyne $LECO – Lincoln Electric Professional Robotics $OII – Oceaneering International $FARO – FARO Technologies Service Robotics $RR – Richtech Robotics Robot Software / AI $NVDA – NVIDIA $PTC – PTC Inc $PDYN – Palladyne AI $QCOM – Qualcomm Logistics Robotics $AMZN – Amazon $SYM – Symbotic $SERV – Servr Robotics $ATS – ATS Corp Defense Robotics $AVAV – AeroVironment $LMT – Lockheed Martin $BA – Boeing $TDY – Teledyne Technologies $TXT – Textron $ESLT – Elbit Systems $KTOS – Kratos Defense $NOC – Northrop Grumman $GD – General Dynamics $RTX – RTX Corp $LHX – L3Harris Technologies
@Dog_Ziller I actually think $AMZN for robotics is extremely underrated. Since since there’s immediate practical upside to lower opex + headcount for automation. But for general purpose $TSLA, Unitree, Figure, Boston Dynamics, Agibot, Agility, and others should do well.
“Robotics may be the biggest product category of all time” - $CDNS CEO. “The projection is $25 trillion. The whole GDP of the world is $110 trillion. So this is huge if this happens.” Extremely bullish on robotics/humanoids directionally. But maybe it’s time for $TSLA and America to really start prioritizing how we build it outside Chinese supply chains?
All right chat. I need some more ideas on the early $RKLB equivalent for humanoid exposure. 10x+ potential returns only in the next 2 years and more pure play exposure than $TSLA. What’s your best ideas?
If you’re looking to create generational wealth in 2026 then you must have these 8 stocks in your portfolio… 1. Rocket Lab ~ $RKLB 2. Nebius ~ $NBIS 3. Tesla ~ $TSLA 4. Nokia ~ $NOK 5. ServiceNow ~ $NOW 6. Qualcomm ~ $QCOM 7. CoreWeave ~ $CRWV 8. Ondas ~ $ONDS Don’t miss your chance on these setups before they’re long gone. Save this for later…
$TSLA we might see new ATH in few weeks IMO https://t.co/2bQ8xLlTd3
Lots of runners in my portfolio today $NBIS $TSLA $QS $MU $AAOI $RKLB $DGXX $KEEL and many more. When you stay patient with high conviction names, the market eventually rewards you. Great day in the market. 📈
Large $TSLA call flows seen this morning, notably the 420c 5/20 and the 465c 6/5... Shortly after these flows news broke that Musk would be joining Trump and other CEOs on his trip to China Follow the flows with Unusual Whales: https://t.co/VfIBZSCWXk
$Tesla is not priced as a car company. It is priced as a technology conglomerate — and it earns that premium. One Stock. Five Revolutions. When you buy $TSLA, you are not betting on a car. You are betting on the industrialization of the future — across five of the most disruptive sectors of the next decade. Most companies pick one wave to ride. Tesla is building the infrastructure underneath all of them. 01 — Electric Vehicles The Foundation. The Cash Engine. ~1.8M vehicles delivered in 2024. Industry-leading margins. But the real moat is not the cars — it is the Supercharger network, now the global EV standard with every major automaker paying to access it. The upcoming ~$25K Redwood model could be the volume inflection Wall Street is not pricing in. 02 — Robotics The Multiplier. The Trillion-Dollar Bet. Optimus is already working inside Tesla’s factories. No company on Earth has more embodied AI training data. Analysts model the humanoid robotics TAM at $10T+ — larger than the entire global auto industry. Elon has said Optimus could be worth more than the rest of Tesla combined. This is not vaporware. The infrastructure already exists. 03 — Solar & Energy The Underrated Layer. The Silent Compounder. The Megapack is sold out years in advance. Tesla Energy’s gross margins recently exceeded the auto division — a stunning inversion Wall Street has barely priced in. As AI data centers drive insatiable power demand, Megapacks sit at the perfect intersection of energy infrastructure and the AI buildout. 04 — Space The Network Play. The Strategic Wildcard. Every Tesla is now a potential Starlink terminal. The vehicle fleet becomes a distributed satellite connectivity platform. If SpaceX IPOs, the cross-portfolio halo benefits $TSLA shareholders directly. The autonomous driving stack developed for Earth roads has direct analogs in aerospace — a convergence only beginning. 05 — AI Infrastructure The Core Engine. The Real Moat. 2B+ miles of real-world FSD training data. Custom Dojo supercomputer. HW4 inference chips in every vehicle. Tesla is one of the few vertically integrated AI hardware companies outside of NVIDIA. The Cybercab robotaxi platform converts the entire fleet into a software-margin revenue engine — potentially worth $1T+ standalone. The Bottom Line EV → Energy → AI → Robotics → Space. This is not five separate bets. It is one integrated thesis — the physical world is being digitized, automated, and electrified simultaneously, and Tesla owns the vertical stack across all of it. $TSLA is the only ticker in public markets that gives you exposure to all five revolutions at once. You are not buying a car stock. You are buying a seat at the table of the next twenty years. Not financial advice.
Tesla’s up 6,322% since this headline. $TSLA https://t.co/TRKoeCzaI2
I’ll only say this once: The next 1 to 4 years will determine whether you build generational wealth or spend the rest of your life watching other people live the life you could have had. NEW infrastructure is being built *right now.* AI, Robotics, Automations. Its all HERE. This is not a drill. This is not hype. This is THE window of a lifetime. The physical backbone of the next economy; power, compute, orbit, optical networking is being funded, contracted, and locked in right now. The capital is moving. The deals are being signed. The positions are being taken. The only question is whether your name is on any of them. You want to know what this moment looks like from the other side? It looks like 2010 and you didn’t buy $AMZN. It looks like 2013 and you didn’t buy $TSLA. It looks like 1995 and you watched the internet happen to other people. THIS is that moment. Right now. Today. And it will not wait for you to get comfortable. So here’s what you need to do. Wake up. Handle your 9-5. Run. Lift. Eat clean. Be present for your kids. Be there for your wife. Every hour left after that? >You research< Not scroll. Not watch. Not casually browse. You study like your family’s financial future depends on it. Because it does. Be obsessive. Think deeply about it. Or follow people who think deeply about it. Study what the world needs to build next, and which companies sit at those bottlenecks. But don’t sleepwalk through the most important investing window of your generation. $IREN $NBIS $CIFR $AAOI $RKLB These are positions in the infrastructure of the next 20 years. The kind you hold while everyone around you panics. The kind you look back on in 10 years and can’t believe you had the chance to buy. Most people will miss this. Not because the information wasn’t available. Not because it was too complicated. Because they didn’t take it seriously enough. Don’t be that person. The window is open. It won’t be open forever. -BP Reminder: this is not financial advice.
We are currently in a “once in a lifetime” AI super cycle… Phase 1 was: (already gone) Semiconductors ~ $NVDA, $AMD, $INTC, $ARM Phase 2 is: (passing by now) Memory ~ $MU, $SNDK, $WDC Photonics ~ $AAOI, $AEHR, $LITE, $MRVL The current phase is Neo Cloud/AI infrastructure: $IREN, $NBIS, $CRWV, $CIFR, $APLD Next wave (many will miss) Rare Earths ~ $USAR, $MP, $UUUU, $FCX Power & Cooling~ $VRT, $CEG, $OKLO, $OSS Finally it all concludes with these 3 sectors: Robotics ~ $TSLA, $PATH, $SERV Space ~ $RKLB, $ASTS, $PL, $LUNR Drones ~ $ONDS, $AVAV, $LMT Many will make generational wealth from this AI super cycle over the next 7 months. Save this to look back on later…
14. $TSLA - Tesla (Robotics / Physical AI) The AI play most people still don't see. $25B in 2026 capex going into AI compute, Cybercab production, and Optimus. The first large-scale Optimus factory is being built to produce 1M robots per year, with a second-generation line targeting 10M. Robotaxi service live in Austin, Dallas, and Houston with unsupervised FSD targeting a dozen US states by year end. Revenue was $22.4B in Q1 but the long-term value is in physical AI at scale.
Markets are seeing broad profit-taking as geopolitical tensions in the Middle East add pressure and uncertainty. Selling can accelerate fast when headlines hit, especially after a strong run. Some names are still showing relative strength — $MU, $SNDK, $TSLA, $AMZN — holding up better while the rest of the market cools off. A breather here would be healthy. Consolidation builds the base for the next leg higher.
6 High-Conviction Sectors for the Next Market Cycle The AI infrastructure buildout is expanding well beyond semiconductors. Here are six sectors I believe deserve serious attention from investors looking ahead: AI Energy — Data centers are power-hungry and the grid isn’t ready. Companies bridging that gap stand to benefit enormously. Watching $CEG, $BE , $VRT, $GEV, $OKLO, and $NNE. Quantum Computing — Still early-stage and high-risk, but the commercial timeline is compressing faster than most expect. Key names: $IONQ, $RGTI, $QUBT, $INFQ , $XNDU . eVTOL — Urban air mobility has real regulatory momentum now. Certifications are coming. $JOBY, $ACHR, and $EVTL are the ones to track. Rare Earth & Critical Minerals — The overlooked bottleneck in every supply chain — AI hardware, EVs, and defense systems all depend on these materials. $MP, $USAR , $UAMY, $TMC , $NB Robotics — Physical AI is accelerating. The next compute deployment layer won’t just be in the cloud — it’ll walk, drive, and build. Watching $SERV , $TSLA, $ISRG, $RR, and $NVDA as the picks-and-shovels play. Space — Launch costs have collapsed. Satellite-based connectivity, Earth observation, and defense applications are scaling fast. $RKLB, $ASTS, $LUNR, $PL, and $RDW remain my core watchlist. Capital rotates toward constraint. These six sectors sit at the intersection of scarcity and exponential demand. Not financial advice.
Portfolio Update — May 2, 2026 $PLTR +770.82% $CLS +651.53% $ONDS +426.29% $NBIS +307.04% $HIMS +258.82% $OKLO +202.32% $RKLB +170.77% $SOFI +142.97% $IONQ +142.02% $AAOI +104.43% $TSLA +73.50% $ABCL +55.79% $MU +52.72% $AMZN +48.89% $QS +48.22% $GLXY +37.05% $RDW +27.67% $META +24.47% $SOUN +20.76% $PNG +15.68% $RR -3.13% $PATH -4.04% $JOBY -13.05% 20/23 green 3 positions in progress — conviction intact $SOUN officially in the green Cash: 8.6% of portfolio 🙌 Not financial advice.
If you’re looking to create generational wealth in 2026 then look no further than these 8 stocks: 1. Nebius ~ $NBIS 2. CoreWeave ~ $CRWV 3. Ondas ~ $ONDS 4. One Stop Sys ~ $OSS 5. AMD ~ $AMD 6. USA Rare Earth ~ $USAR 7. Tesla ~ $TSLA 8. MP Materials ~ $MP Don’t miss your chance on these opportunities before they’re long gone. Save this for later…
$TSLA IS NOT AN EV COMPANY ANYMORE- @elonmusk literally said it: “We are no longer primarily an automotive company. We are a Physical AI company.” The car is just the entry point — the real story is what’s being built on top of it OPTIMUS ROBOT Gen 3 Optimus is the first design built for mass production — target of 1 million units by 2029  Applications: manufacturing, logistics, elder care — any labor-intensive environment If even partially successful, this is one of the largest TAMs in human history ROBOTAXI / FSD Robotaxi service launched in Austin in June 2025 — camera-only architecture trained on data from millions of Tesla vehicles globally  Expanded to Bay Area ride-hailing in Q3 2025 — building real-world data to scale to more cities  Every mile driven makes the model smarter — this is a flywheel competitors can’t replicate overnight ENERGY — THE HIDDEN GEM Energy storage deployments grew 81% in Q3 2025 — gross margins exceeding automotive  Energy segment revenue hit $3.1B in 2025, up 25% YoY — and it’s the most scalable segment in the business  Megapack alone is on track to represent 20% of Tesla’s total profit by 2027  AI data centers need power → Tesla sells the storage → perfect macro alignment THE REAL MOAT Tesla has millions of real-world driving miles training its AI — no startup can buy that The electric car is no longer just transport — it’s a rolling data collection platform for the world’s most advanced physical AI system  Vertical integration across chips, software, hardware, energy = no single point of failure YES THE P/E IS HIGH But you’re not buying a car company at a car company multiple You’re buying optionality on: autonomous transport, humanoid robotics, grid-scale energy, and AI inference at the edge Every dip is the market mispricing what this becomes in 2027–2030 $TSLA The cars fund the revolution. The AI wins the war. Not financial advice.
ROBOTICS: The next decade won’t be won by the best demo. It’ll be won by whoever solves deployment at scale. Everyone sees humanoid demos. Few see the bottlenecks. The real opportunity in robotics isn’t just the robot — it’s the infrastructure behind it. Biggest chokepoints: Actuators & precision mechanics Joint systems are expensive, complex, and supply-constrained. Every robot depends on them. Battery life Most humanoids still can’t work a full shift. Energy density remains a major hurdle. Dexterous hands Walking is improving fast. Manipulation is still the real unlock. Training data LLMs had the internet. Robots need physical-world action data. That gap is massive. Software stack Deployment complexity is still too high. Robotics needs its “Python moment.” Unit economics Industrial customers need reliability first, not cool demos. Rare earth supply chain Magnets, batteries, and precision parts are the hidden chokepoints. My view: The winners may not just be platform builders like $TSLA or AI leaders like $NVDA. The bigger compounding opportunity could be in picks-and-shovels: Robotics is not one market. Medical is already scaled. Hospitality is scaling now. Industrial is crossing the gap. Humanoids are still early. The demo problem is mostly solved. The deployment problem is where the money will be made.
$MU $MSFT $GOOG $TSLA $META Strong setups in this market. Leaders remain leaders for a reason, and healthy pullbacks often create the best opportunities. any meaningful pullback in quality names is a buying opportunity. Not financial advice — just sharing my view.
@Incainvests $SERV $TSLA $SYM I like most also have positions in $RR. Robotics is still in the early innings as an investment theme, in my opinion. We’re at the stage where the market is just starting to identify the first wave of winners — autonomous delivery, humanoids, warehouse automation, AI-driven robotics. Just like EVs and AI infrastructure had their early leaders, robotics will likely expand into dozens of investable names over time. The theme is still maturing, adoption is accelerating, and capital is starting to follow.
Longs always win. Here’s why time destroys shorts: - Time Is A Short Seller’s Enemy Every day a short is open → borrowing fees tick up Options decay against them The market can stay irrational longer than they can stay solvent - Markets Have A Built-In Upward Bias S&P 500 is up ~10% annually on average over 100 years Companies retain earnings, innovate, expand Inflation alone pushes nominal prices higher Shorts are literally fighting compounding - The Asymmetry Is Brutal For Shorts → Max gain for a short = 100% (stock goes to $0) → Max loss for a short = INFINITE (no ceiling on price) Longs? Unlimited upside. Capped downside. - Short Squeezes Are Real $GME. $AMC. $TSLA. $MSTR. Shorts get squeezed out. Longs get paid. One squeeze can erase years of short profits in days. - Even “Bad” Companies Recover $AAPL was left for dead in the 90s $AMZN was a “dot-com bubble stock” in 2001 $NVDA was a gaming chip company nobody cared about Patience + conviction > short thesis every time The Bottom Line: Shorts need to be RIGHT → on direction → on timing → on magnitude Longs just need to be RIGHT on direction and patient Time does the rest.
Portfolio Update — April 25, 2026 $PLTR +758.70% $CLS +642.59% $ONDS +443.81% $HIMS +298.95% $NBIS +283.43% $OKLO +206.23% $SOFI +173.08% $RKLB +172.65% $IONQ +126.51% $AAOI +80.27% $NVDA +75.20% $TSLA +66.38% $ABCL +47.72% $AMZN +47.02% $QS +46.40% $MU +39.84% $META +38.04% $RDW +33.56% $GLXY +27.42% $PNG +25.00% $SOUN +1.23% new position $RR -5.06% 🩸 $PATH -7.09% 🩸 $JOBY -19.70% 🩸 Cash: 8.7% of portfolio 21/24 green. 3 positions in progress — conviction intact. $GLXY & $SOUN flipped green. 🙌 Not financial advice. DYOR.
Elon Musk has said: Tesla, $TSLA, Cybercab has started production [today]
Expected revenue growth over the next 5 years: Nebius $NBIS: +564% Intuitive Machines $LUNR: +473% Iren $IREN: +363% Palantir $PLTR: +325% Rocket Lab $RKLB: +320% Nvidia $NVDA: +252% Micron $MU: +230% Planet Labs $PL: +214% Sofi $SOFI: +190% Hims & Hers $HIMS: +184% Oracle $ORCL: +178% Tesla $TSLA: +171% Meta $META: +124+ Microsoft $MSFT: +105% Oklo $OKLO: +102% All these names are proven to dominate in the upcoming years. Generational opportunities…
THE ENERGY MAP: Every Source, Every Play Global energy investment just crossed $3.3T in 2025 — with $2.2T flowing into clean tech alone, 2× fossil fuels. The AI data center supercycle has changed everything. Power is now the bottleneck. Access to electricity > land, labor, connectivity. Here’s how the landscape is shaping up NUCLEAR — Highest Conviction The renaissance is real. Record generation, 63 reactors under construction, SMRs gaining traction with hyperscaler demand. → AI + baseload = nuclear wins Plays: $CEG $CCJ $OKLO $SMR $NNE $LEU $DNN $LTBR BATTERY STORAGE — High Conviction The backbone of 24/7 clean energy. Explosive growth + massive pipeline into 2030. → Solar pairing + grid stability + data center demand Plays: $TSLA $FLNC $STEM $AMPS $KULR $QS $MVST $AMPX GRID INFRASTRUCTURE — The Real Winner - No matter who wins, the grid must scale. Massive capex cycle just starting. → AI load + EVs + electrification = multi-year demand Plays: $CEG $NEE $ETN $PWR $VRT $HUBB $VST $AES SOLAR — Selective Still scaling globally, but policy shifts create winners & losers. → Data center PPAs absorbing higher costs Plays: $FSLR $ARRY $ENPH $NEE $RUN GEOTHERMAL — Stealth Play Underrated baseload. EGS unlocking new regions. → 24/7 clean energy = perfect for hyperscalers Plays: $CEG $ORKA $NEE NAT GAS / LNG — Bridge Fuel Not going anywhere. Reliability matters. → AI demand + LNG exports = strong tailwind Plays: $LNG $AR $EQT $SLB $HAL WIND — Watchlist Onshore steady, offshore challenged (policy + cost). → Europe still bullish Plays: $GEV $NEE $CWEN $BEP HYDROGEN — Speculative High risk, long-term potential. 2026 is pivotal. → Industrial demand is the key Plays: $PLUG $BE $LIN HYDRO — Stable Compounder Reliable baseload + long-duration storage. → Quiet outperformer in volatile markets Plays: $BEP $CWEN $NEP THE MACRO FRAME This is no longer just a climate transition. It’s a national security + AI infrastructure race. Capital flow trend: Semis → Memory → Photonics → Power & Energy → Robotics We are entering the Power wave Position accordingly. The grid wins regardless. Not financial advice. Like and share
$TSLA after earnings https://t.co/gK2owU2zz5
BREAKING: Tesla, $TSLA earnings: - EPS: $0.41, est: $0.35 - Revenue: $22.3 billion, est: $22.2 billion
The autonomous defense platform problem isn't compute. It isn't communication. It isn't even power, though $AMPX is solving that too. It's PERCEPTION. You cannot put an autonomous ground vehicle, port system, or maritime monitoring platform into operation without lidar that can tell the difference between a threat and a water buoy at 200 meters, in rain, in the dark. $OUST build solid-state digital lidar sensors. No moving parts. CMOS chip architecture. The same manufacturing process that drives smartphone camera cost curves down. Already qualified on autonomous vehicle stacks, defense perimeter systems, and port automation platforms. Supply chain: → silicon photonics wafer → Ouster digital sensor → perception module → autonomous defense/logistics platform → real-world operation The companies that qualified Ouster sensors TWO YEARS AGO cannot switch without restarting that process now, in 2026, when procurement urgency is highest. Two hard numbers: ~$1.5B market cap. $50 analyst high target (+86% implied upside). The obvious trade: the autonomous platform companies $TSLA $GOOG $ONDS $MBLY $AUR. Correct. Already crowded. The real trade: the sensor company at $1.5B that those platforms physically cannot function without. -BP Not financial advice. DYOR. Save this.
Earnings Watch This Week A busy week ahead with key names reporting that could set the tone for the market. Wednesday: $TSLA (Tesla) — All eyes on Elon Musk as investors look for updates on AI, margins, and future growth drivers. Thursday: $INTC (Intel) — Coming off strong momentum, trading at its highest levels since 2000, expectations are high for continued strength in semis.
Overnight Market Shift — Risk Back on the Table Crude surged over 6% overnight, with $CL and $BZ ripping higher — driven by geopolitical tension and supply concerns. $ASTS −17% $RKLB −3% Crypto-linked names pulling back $MSTR −4% $COIN −3% $CRCL −3% Mega-cap tech showing weakness $MU −2% $TSLA −1% $NVDA −1% Energy strength + tech weakness is not noise.
Nvidia CEO Jensen Huang just revealed the “five-layer” model of what AI is dependent upon… These 5 layers include: 1. Energy ~ $NBIS, $IREN, $CIFR, $OKLO 2. Chips ~ $NVDA, $AMD, $TSM, $AVGO 3. Cloud Infrastructure ~ $AMZN, $MSFT, $GOOGL, $CRWV 4. Models ~ $META, $ORCL 5. Applications ~ $PLTR, $TSLA All these names will see generational upside in 2026 as AI continues to expand rapidly. Save this for later…
HOW I WILL PLAY THE NEXT MONTHS AND WHAT I EXPECT: I want to touch on 5 important things: 1. First, I’m sad to see the lunch of $ASTS fail. I sold a while ago. “$Execution delays is a risks. Sold and took profit recently.” Still saddens me to see. 2. I see a lot of new concerns on US/Iran. Here’s my take and how I will play it: Overall I believe we have see the worst. I could be wrong. But usually when ceasefire and ‘talks’ have been somehow ongoing it’s very rare a full blown war will continue. I expect some volatility short-term. I’ll be DCA’en through if it plays out. Long-term I have NO concerns. US are on their way to a ‘goldilocks’ era. So many investments are being made INTO US. I expect inflation to rise short-term. Fall afterwards towards the goldilock-era for US where AI infrastructure will play out and dominate. Lastly. I see some concerns about ‘oh, but $SPY $SPX $QQQ are all back to ATH and topping. Yes. But MAG7 is not topping. $NVDA $GOOG $AMZN are close to touching Octobers high. But recently. $MSFT $AAPL $TSLA are far from it. Meaning the ‘top’ is not driven by small cap or MAG7. But the middle-layer of $SPYx / SP500. I’m not concerned. But expect more of a rotation to continue into risk-on - when US/Iran clears. 3. A couple of hours ago I released a FREE NEW extensive deep dive on $OUST. You should go read it. 4. I’m considering creating a FREE group-chat here on X. A community. What I expect of the group: This is not a buy/sell signal group. But a group to connect with like-minded. Analyzing the market, sharing ideas, research, insights, learnings and Go deep on finding gems together. There’s limited spots. If you want to join. Comment: “YES.” And just to be clear: I dont have a course or offer no paid services. 5. Based on 2) - I’ll sit tight in my long-term high conviction plays with ease and peace. Add on dips. Pure DCA. Meanwhile I’ll soon open up my short-term account again and begin some short-term swing trades in the timeframe of less than < 6 months. -BP. Please note: this is not financial advice.
Endgame Integrator $TSLA — The Robot + AI + Energy Convergence Play Tesla isn’t just building robots — it’s building the entire ecosystem: Optimus → Humanoid robotics FSD + Dojo → Real-world AI training loop Manufacturing scale → The hardest moat in robotics Energy + autonomy → Multi-layer compounding While others sell components, Tesla integrates everything into a deployable system. If Physical AI scales globally, Tesla doesn’t just participate — it captures value across the entire stack. Bottlenecks win the buildout. Integrators win the outcome.
Just some TLDRs to save you time: 1. $ASML, $TSM earnings = Good Outlook. Semis + capex go brrr. 2. Opus 4.7 + Anthropic go brrr. Software = sad. 3. Samsung go brrr because of partly bc of $TSLA AI Chips. 4. $UMC = price hike for foundry. foundries go brrr. 5. Training = brrr in China. H100 rental increase go up. Neoclouds happy. 6. Helium supply shortage = not significant... I've already said this before, but I'm not sure how many times $TSM needs to say this. 7. MLCC, inductor prices = price hike. Will cover beneficiaries later. 8. "Taiwan's OSAT expansion could tighten global test capacity and raise costs" I went long on Taiwan OSATs recently like Shunsin (6451) for a reason. Demand will just outstrip supply, even after expansion. (cowos, sip, optical).
@ironman20054 But $TSLA is not a EV company that you compare with $NIO. Shared my thesis with you when $TSLA was at $216 and $NIO was $6.24 and see where we are today. Have a great weekend.
These things are next to happen: Space Sector names like $ASTS, $RKLB, $PL & $FLY squeeze into the $2T SpaceX IPO. $GOOGL & $TSLA lead the MAG7 for the next 4 months. $HIMS will have a short squeeze to $60+ AI infrastructure names like $NBIS, $IREN & $CIFR rally like memory stocks such as $SNDK & $MU did. $SOFI has a V shape recovery into $30+ $UNH becomes a market favorite again, & squeezes past $430+ & finally all 12 of these names mentioned will create generational wealth for many…
$TSLA $400 https://t.co/0gDhNGpw3R
Markets have shifted since 2025, & this year large cap names will lead versus smaller caps. Here are 5 “MUST-BUY” large cap stocks, & their targets: 1. $GOOGL will be $430+ 2. $AMZN will be $330+ 3. $TSLA will be $600+ 4. $MSFT will be $500+ 5. $AMD will be $320+ Many will make millions off these names…
$TSLA what a move so far https://t.co/JBcP2ZQKe3
$TSLA $388 now
$TSLA what a move.
Risk-On Rally Continues as Tech & Geopolitics Drive Momentum • 📈 S&P 500 nears record highs as bullish momentum continues across large caps and AI leaders • 🌍 U.S. & Iran reportedly agree “in principle” to extend ceasefire framework, boosting risk appetite and easing energy fears • 🤖 $TSLA completes AI5 chip tape-out and advances AI6 development, reinforcing its vertical AI + robotics roadmap • 🧠 $ASML delivers strong earnings and raises 2026 sales guidance, citing sustained AI-driven semiconductor demand • 🏦 Earnings focus shifts to banks, with $BAC and peers in spotlight as financials kick off results season Theme of the tape: AI infrastructure + geopolitical de-escalation = liquidity chasing high beta and semis Markets remain heavily momentum-driven with AI capex cycle still the dominant narrative.
Every industry has an incumbent that stopped innovating. These companies are coming for their lunch: $HOOD - brokerage $SOFI - banking $OSCR - health insurance $PLTR - enterprise software $NBIS - data centers $TSLA - autonomous vehicles $RKLB - space launch $ASTS - satellite internet $DOCN - cloud infrastructure $ZETA - marketing technology $IBRX - cancer treatment $LEU - nuclear fuel $OSS - edge AI computing $IREN - AI infrastructure $AMPX - battery technology $ONDS - drones and defense $AMZN - everything Who am I missing?
If you bought the most hated MAG7 name every year since 2022 you’d be up +300%, vs the S&P 500 being up +50% over the same period… 2022: $META at $89 -> +640% 2023: $AAPL at $130 -> +105% 2024: $TSLA at $142 -> +160% 2025: $GOOGL at $145 -> +130% 2026 is the year for $MSFT, & I’m projecting a full blown V shape to $500+ A proven, low risk, high reward setup…
Overnight markets flashing risk 👇 U.S. futures slipping while oil surges on fresh Middle East tensions and a potential Strait of Hormuz blockade. Energy ripping → $OXY +8% → $XOM & $CVX +4% Tech under pressure → $MU -4% → $AVGO & $TSM -3% → $NVDA -2%+ → $TSLA, $META, $GOOG also lower Same playbook: Geopolitical risk → Oil spikes → Energy rallies → Tech sells Headline-driven market — expect volatility and fast rotations.
$TSLA interesting week ahead “FSD Supervised has been approved in the Netherlands 🇳🇱 & will begin rolling out in the country shortly!” https://t.co/sJrh6ELeBw
$TSLA semi
$TSLA holding the $354–356 zone is key—if this support holds, the next upside targets come into play around $374–378. DYOR
I must imagine this new $TSLA FSD Fleet Learning feature will consume tons of GAI compute. $NVDA $MU $SNDK $LITE https://t.co/V9CmHBymjo Fleet Learning and 3D Geometry The most significant shift in v14.3 is the introduction of vehicle-to-fleet communication and reasoning. Tesla is now using its global fleet to source "infrequent events" and "hard RL examples" to train the neural network. This means your car is effectively learning from the most difficult scenarios encountered by millions of other Teslas, such as complex intersections with compound lights, curved roads, and even the behavior of small animals.
Overnight markets are ripping 🔥 Ceasefire news easing geopolitical tensions has flipped sentiment fast — risk is back ON. 🚀 Tech leading: $TSLA, $AMD, $META +4% $NVDA, $GOOG +3% ₿ Bitcoin back above $72K — crypto names flying: $HOOD +7%, $MSTR / $COIN +5% 💾 Memory stocks strong: $MU, $SNDK +7% 🌏 Asia reacting big: $Nikkei +4%, $KOSPI +5% Momentum is building… this could turn into a massive global risk-on move.
$TSLA from $340 https://t.co/nNorhQkAkK
$TSLA 👀
$TSLA can crash to $145 😳
The month of April marks the start of Q2 for investors. I asked @cfosilvia to "analyze my current portfolio and tell me how it has historically performed in Q2 over the last decade." She broke down my request by analyzing every asset in my portfolio. Some examples include: - $TSLA avg return: 18.7% - $OPEN avg return: 33.5% - $BTC avg return: 32% She even told me "Historically, Q2 has been your portfolio's most volatile quarter." This took seconds and is incredibly valuable. Have Silvia analyze your portfolio for free: https://t.co/bMI7hLeciU
The projected 2026 correction is here, & there are already many major undervalued opportunities. Buying these 8 names will create generational wealth: 1. Tesla ~ $TSLA 2. AST SpaceMobile ~ $ASTS 3. Rocket Lab ~ $RKLB 4. Nebius Group ~ $NBIS 5. Planet Labs ~ $PL 6. Ondas Holdings ~ $ONDS 7. Advanced Micro ~ $AMD 8. RobinHood ~ $HOOD Don’t miss your chance at these once in a lifetime opportunities. You’ll thank yourself later that you listened. Mark my words…
🚨 I've been warning about this for weeks; a -20% drawdown. This is my last one. I'm not a doom-poster. I don't do fear content. This is just the most COMPLETE picture I can give you, and what I think the current situation means for the market. This is my view. Not financial advice. Not a prediction. Long-term? I'm still bullish. Short-term? I see a legitimate path to a -20% drawdown from here. And I think most retail investors are not aware of the potential on-going RISKS. Here's EVERYTHING you need to know: The Strait of Hormuz has been closed since February 28 and the majority of people have NO IDEA what that actually means for the global economy. Let me walk you through the math nobody's doing. The Strait is 21 miles wide at its narrowest point. Through it flows: → 20M barrels/day of crude and refined products → 20% of ALL global petroleum consumption → 20% of the world's LNG, almost entirely Qatar/UAE This isn't a regional disruption. This is a global circulatory system shutting down. For context: the 1973 oil shock removed 4-6% of global supply from the market. This one REMOVES nearly 20%. Everyone says "Saudi Arabia has pipelines." True. Here's what they don't tell you: > Saudi Petroline: 3-5 mb/d spare capacity > UAE ADCOP: 700k b/d spare capacity > Total bypass capacity: 5.7 mb/d Net shortfall: 14-16.5 MILLION barrels PER DAY. There is NO REROUTING solution at this scale. None. Brent was in the low $70s pre-conflict. After February 28: +$20/bbl within a month. Briefly touched $120. Current brokerage targets for Q2: → Goldman Sachs: $110 → Morgan Stanley: $110 (rationing scenario) → Macquarie: $150+ if the Strait stays shut through April WTI crossed $100 for the first time since July 2022. If Brent stabilizes at $130-$150, the historical demand destruction level, headline CPI peaks near 3.8%. At that point the Fed isn't cutting. It's hiking. This is where it gets REALLY ugly. Goldman Sachs has the numbers. Here's what a 60-day closure does to US equities: $SPX base case: 6,300 → 10% correction $SPX severe case: 5,400 → 17-20% drawdown from RECENT peaks The S&P already crossed below its 200-day moving average for the first time in 10 months. That's not noise. That's a technical regime change. And here's the historical precedent that should concern every tech holder: Semis have experienced ~30% drawdowns during major oil price surges historically. Several Magnificent 7 names are already down 10-20% from highs such as $MSFT $TSLA $META Have in mind. I could be wrong. I'm only trying to provide the complete picture. But in my opinion, we're not at the bottom, yet. We're at the technical inflection point. IEA member countries released 400M barrels from emergency reserves to buffer the shock. At a sustainable release rate of 4.4 mb/d, those buffers are projected to be exhausted by mid-April. After that? No more cushion. Secondary price spike hits with NOTHING to absorb it. Rate cuts are fully priced OUT of H1 2026. Morgan Stanley and Goldman both push the first cut to September or December at the earliest. The Fed is frozen between an inflation spike and a deteriorating labor market. That's the WORST possible backdrop for growth equities. This isn't just an oil story. The GCC exports: → 25% of global nitrogen fertilizers → 30% of the world's helium supply → 27% of global ammonia, 22% of phosphates, 45% of sulfur Urea prices up 28% in three weeks. DAP/MAP above $700/MT. Food inflation is coming, but it'll hit harvests in LATE 2026 and 2027. The market is not pricing this yet. This is were inflation will begin to hike again, especially across the Eurozone. Then there's helium. Qatar is a top global producer. Helium recovery is a byproduct of LNG processing. No LNG throughput = helium shortage. Helium is essential for advanced semiconductor lithography. The entire AI buildout, from chip fabs like $NVDA to the infrastructure operators running on them like $IREN and $NBIS, has a Qatar helium dependency nobody mapped. These cascading supply chain failures take 18+ months to resolve even if the Strait reopens tomorrow. EVEN after this ends, the world that comes out the other side is different. The Ras Laffan LNG complex lost 17% of Qatar's production capacity. Repair timeline: 3-5 years. > Higher insurance premiums. > Permanently elevated freight rates. > Inventory buffers rebuilt everywhere. > Semiconductor supply chains rerouted. The Dallas Fed projects a sustained Q2 closure shaves at minimum 0.5 percentage points off US GDP, potentially pushing us toward stagnation. This isn't a shock you trade through and forget. Goldman's 5,400 scenario is live if we don't see resolution before the reserve buffer runs dry. Mid-April is the deadline. Watch it closely. I started investing in August 2024. 20 months in. Up 70% total. YTD in one of the most brutal markets in years? -0.5%. While a lot of portfolios are down 20-30% right now. I'm not saying this to flex. I'm saying this because the whole point of this account is to think ahead of the market, not react to it. Protecting capital in bad environments is just as important as finding the next 10-bagger. If this thread gave you clarity, follow along. This is what I do every week. -BP Please note: This is not financial advice. Always do your own research.
@RonDeSantis Hi Ron, so there's two different parts to it: 1. Hyperscalers ( $ORCL, $META, $AMZN): They're spending more than they have with profit ( $GOOGL is the rare exception, and $AAPL isn't really spending much relatively). So markets are worried less worried it's translating into material revenue. Especially with companies like Oracle taking on immense amounts of debt, rate cuts were a large driving factor in why it's slightly more sustainable (if you look at debt interest, it's massive), and cutting rates drives both forward expansion and material amounts of savings. Due to the War in Iran, rising crude, former projections with cutting rates in 2026 are now gone. This is compounded that there are worries that their AI buildout supply chain gets disrupted. If you look at where their AI datacenter parts are made: - it comes from Taiwan - it comes from Korea - it comes from Japan It's global. While the US might look like it's fine, since it's insulated to Oil, LNG, helium, and others needed for the semiconductor supply chain. Our Asian partners are not in a long drawn out conflict. So when you look at companies in Asia that are more small and niche they are struggling. And this gets compounded tens of times until it reaches all the way down to the end Amazon Web Services AI datacenter (increased costs, lack of supply). 2. AI as a whole: Investors are very bullish on it. It's just how we get there, and America looks strangled by China optically. - America is spending way too much on it, with China and others distilling our latest models (need KYC endpoints), and reaping all the benefits. - As we scale our AI programs, it's becoming increasingly reliant on Chinese companies. I'd argue it's because America lacks the rare earths, which should be our #1 national security priority. This is needed to make new generations of AI hardware, robotic supply chains, and Space. They're all controlled by China and Russia. Even the leading "Western" companies, I've identified they're mainly relying on China/Russia still. And this is one of the biggest vulnerabilities in securing our frontier programs. If you look at photonics (how AI hardware is sped up by light), we no Western supply chain to fulfill our needs. It's $AXTI (in China), and Vital (in China) as the two main sources of materials needed to make them, that gets passed down to Japan, or other companies before they end up in US. If you look at our humanoid program (how we move AI to the real world), all the bodies of $TSLA Optimus are made in China. American supply chains lack the rare earths needed to make the components because it gets too expensive. 3. Disruption in the Middle East A large part of the recent drop is mainly due to liquidity. Our partners in the UAE, Middle East are largely funding private markets (think OpenAI) and a lot of their spend going to AI markets. They're also one of the biggest investors in Mag7 from Meta to Microsoft. If their oil fields continue getting disrupted they may have to pull out liquidity from US markets. This impacts both the amount of money these companies can spend on AI. As well as causing a drop in American markets from selling. If there's any takeway: Please make Rare Earths Amercia's #1 national security priority. President Trump already invested in $USAR, $MP, and a few individual names. But there are many more extremely critical, yet unprofitable companies that are needed to make AI, to self driving cars, to robotics. And we need to break our reliance on China / Russia.
Those patient will be greatly rewarded with generational dip buying opportunities on these stocks: $AMD at $170 $NVDA at $150 $META at $480 $TSLA at $320 $AMZN at $180 $MU at $250 $SOFI at $12 $PLTR at $100 These 8 names will be the first to bottom, & yield the highest returns. A dip-buy this obvious won’t happen again anytime soon. Don’t miss it…
These stocks may be worth buying on future dips: AI Compute: $NVDA $AMD $AVGO AI Memory: $MU AI Infrastructure: $IREN $NBIS $VRT Networking: $MRVL $ANET $ALAB Photonics: $AAOI $LITE $COHR Power / Energy: $CEG $OKLO $VST $BE Robotics / Autonomy: $TSLA $AMZN Drones / Defense: $ONDS $KTOS $AVAV Satellites / Space: $ASTS $RKLB $LUNR $PL Digital Finance: $HOOD $CRCL $SOFI The market is giving you discounts on the next decade of growth. Take advantage.
I'm still long on markets (now 85% long, now 15% cash/hedges). Even during wartime, I expect many names from $AAOI to $LITE to outperform. However... The World is largely interconnected now. The current administration might not realize the severity/fragility of upstream supply chains. They might look at $AAPL "Made in America". or $TSLA "Made in America" but if you look at the source for Tesla Humanoids: -> It's in China. Actuator materials stem from Russia feedstock. Materials come from partners in Canada. -> For Starlink, massive amount of supply chains stem from Win Semi Taiwan to companies in Korea. For where the funding from OpenAI, private equities, megacap, and others come from: -> Large part of it comes from UAE, Middle East, and others (that might need to pull out liquidity) as their oil fields get blown up. Extended disruptions (US ground invasion) for spanning multiple months, is very bearish. I was initially expecting the "Shock and Awe" and US to claim victory and for short term War shock to be bought back. But I would not encourage US to head toward a drawn out War. This especially is not good for Asian partners (SK, Japan) or our allies in Europe either. The main beneficiaries of War are: #1: Israel #2: Russia The rest of the World, including the US, are getting dragged down from War. It looks like "Oil/Energy prices going up is good for US": But it takes down a lot of supply chains that the hyperscalers from $NVDA to even $AAPL relies on.
Every Magnificent 7 stock has officially seen double digit downside… Here is how far these names are from their 52 Week highs: $MSFT -34% $AMZN -20% $META -30% $TSLA -25% $NVDA -20% $GOOGL -20% $AAPL -12% This selloff is starting to become a full blown market crash… https://t.co/1ypi8Qruvu
@throughthetape I have a position in $VPG since this was my $TSLA Optimus long. But, I'm not 100% sure if they got designed out or not by Chinese partners for mass production ramp... However, this statement makes it sound like they're still a critical supplier? Really hard to know for sure.
Been awhile since I covered $VPG. This was a sensor play for $TSLA Optimus Ramp. Very important breadcrumb this week at the Sidoti Conference: "Potential to scale to hundreds of robots per week by the end of 2026." Kinda sounds aligned with Optimus? No? If we go off their CEO "$500-$1.2k per robot" statement: Not too shabby. But of course, a lot of robotic supply chains are kind of dead money until the actual inflection point humanoids at scale hits. Maybe Unitree IPO sparks some life into robotic supply chains soon?
Just a lesson to people in the West working in frontier technologies from AI, Robotics, Space, and Semis: Founders should **NEVER** set up businesses locally in China or try and get venture capital there. Especially: Do not set up JVs if your name isn't $TSLA or you're a hundred billion dollar company. There's too many anecdotal stories of coercion and forced detaining by the Chinese government in Silicon Valley. Too many founders get lured by $80M+ high fundraising amounts. Many exuberant "deals" with local entitles. Then build their technology there or visit there in person. But that paper capital doesn't matter when it gets locked down and your technology gets forced transferred to Chinese state run entities. No executives want to say this out loud since they're all scared of China or have business ties there, but that's the harsh reality. Hope all the bots don't come after me after this post.
The easiest way to create life changing returns via the stock market is to buy the generational dip… $AMD at $170 $TSLA at $320 $NVDA at $155 $PLTR at $100 $AMZN at $180 $MSFT at $360 $GOOGL at $260 $MU at $250 When these prices hit by end of June, you must take full advantage…
@halldj00 Not sure. I personally don't own $TSLA, but I can see why others do would given how visionary Elon is. If he actually delivers on mass production Optimus bodies + XAi brain and manages to replace human labor. $1.3T will look like pennies. But as of now, I mentioned it looks overvalued by conventional metrics.
Honestly... I have more trust in Elon with building a foundry like Terafab. Then I do with $INTC with their merchant one? The guy literally made reusable rockets like Starship, the size of small mountains, go vroom vroom into Space. Yes, $TSLA looks overvalued by every conventional metric. But Tesla is not a conventional company and should not be valued as such. The guy knows how to get stuff done (with some delays), it’s more of a matter of time with humanoids or FSD. Need more out-of-the box thinkers like him both in running companies and sharing thoughts on X.
My dad’s most bullish stock? $PL at $3, which is up over 996.5% in 18 months. I bought 1 single share for fun. Because I didn’t think Planet Labs would grow revenue. I ended up long $RKLB instead. Planet Labs is now up over 10 times, and now I‘n left with a lot of regrets. FYI: They liked $COIN at $35-40 and early $TSLA as well, I didn’t listen to any of them. Lesson learned: Sometimes your parents are better investors than you are. Especially when you’re a mirror of them.
+ 270 more