Cycle is over. Bear market has started 5% loaded. $BTCUSD see you at 33K in less than 12- 18 months. ALTS will pump against BTC.

Yes, Britain famously transferred wealth to India. When British arrived in India its share of the world economy was 4%. When they left in 1947, they had taken it to 23%, roughly equal to all of Europe combined. On a serious note. The Indian railways were financed entirely by bonds sold on the London Stock Exchange. British investors were guaranteed a return of 5% per annum by the colonial government. A guaranteed return, in an era when no other safe investment in Britain offered anything close. And who guaranteed those returns? Indian taxpayers. Indians paid for the construction. Indians paid the guaranteed profits to British shareholders. Indians paid for the equipment, which was manufactured exclusively in Britain and shipped to India at inflated prices. One mile of Indian railway cost twice what the same mile cost to build in Canada or Australia, because the guaranteed return meant there was no incentive to control costs. The more it cost, the more British investors and suppliers earned. And what were these railways designed to do? Move raw materials from India’s interior to ports. Cotton from the Deccan to Bombay. Jute from Bengal to Calcutta. Coal from Bihar to wherever the Empire needed it. Tea from Assam to London’s drawing rooms. The routes connected mines and plantations to harbors. Not cities to cities. Not people to opportunities. Raw materials to ships. The Indian public’s transportation needs were, as Shashi Tharoor put it, entirely incidental. Oh, and the railways also moved troops. Very efficiently. So that when Indians protested being looted, the British could deploy soldiers to shoot them. That was the other “infrastructure investment.” But wait, there is more. Before the railways, India had the world’s finest textile industry. The British smashed the looms, broke the weavers’ thumbs (this is not metaphor, this is documented history), imposed tariffs on Indian cloth, and shipped raw cotton to Manchester to be manufactured into garments that were then sold back to Indians. India went from being the world’s largest textile exporter to an importer of British cloth within a generation. The Bengal Famine of 1943 killed an estimated 3 million people. Churchill diverted food supplies from Bengal to already well-supplied British troops and European stockpiles. When informed of the famine, his response, on the record, was to ask why Gandhi had not died yet. This is the “infrastructure investor” Musk is defending. India contributed 2.5 million soldiers to fight in two World Wars on Britain’s behalf. So let us summarize the colonial “investment” in India. They took a 23% global economy and left it at 4%. They destroyed the world’s finest textile industry. They built railways with Indian money, for Indian resources, generating British profits. They engineered famines that killed millions. They drained an estimated $45 trillion in today’s value over 200 years. That’s some unprofitable adventure.

Here's my AI & GROWTH STOCK Cheat Sheet covering: • AI Compute $NVDA $AMD $ARM • Memory $MU $SNDK $INTC • Semis $ASML $AMAT • Networking $AVGO $MRVL $ANET $ALAB • Photonics $AAOI $LITE $COHR • AI Systems $DELL $SMCI $HPE • AI Cloud $NBIS $IREN $CIFR $HIVE • Infrastructure $VRT $ETN $PWR • Power $CEG $NVTS $TE • AI Software $PLTR $NOW $SNOW • Drones $AVAV $KTOS $ONDS • Space $ASTS $RKLB $LUNR $PL • Quantum $IONQ $QBTS $RGTI • Robotics $TSLA $OUST $SYM • Nuclear $OKLO $CCJ $UUUU • Fintech $HOOD $SOFI $AFRM Save this.

Millionaire Theme Series #1: Nuclear Energy (Bookmark this) AI doesn’t scale on chips. It scales on power. Nuclear energy solves the power scaling problem. Fuel → Processing → Reactors → Power → Data centers. Nuclear Energy Ecosystem: • Fuel: $CCJ $NXE $DNN $UUUU $UEC • Processing: $LEU • Reactors: $OKLO $SMR $BWXT $NNE • Power: $CEG $VST $DUK $EXC $SO $NEE • Hardware: $GE $ETN $HON $EMR My Top 5 Picks: $OKLO $SMR $LEU $CCJ $UUUU Time Horizon: 5 years Position early. Let the compounding do the work.

The AI-Infrastructure buildout is the biggest wealth-creation event this decade. These 8 stocks will profit the most: 1. $CRWV | CoreWeave The biggest NeoCloud provider in the entire world. Backed by $NVDA via. a $2B investment and a technical collaboration. - $99B backlog - Massive Hyperscaler deals - Fastest growing Neo-cloud by absolute numbers Revenue is expected to grow by 1500% until 2030. 🧵👇

Arthur Hayes has absolutely zero shame > he founded BitMEX in 2024 > got went to trial for USA bank secrecy act violation > he pleaded guilty and was sentenced to 6 months of home detention, 2 yr probation $10 m fine > got later pardoned by Trump > continues to scam and do shady stuff despite already having a fortune of $42 m in the bank Remember him in the next cycle. He'll try the same manipulative tricks to fool newbies: > shill token (zec, wld, near etc.) > 2 days later open shorts and announce he's bearish I have a personal list of people that should be faded/countertraded whenever they post I kept this clown there since 2022 and for good reason.

Copper can't keep up with AI. That's not an opinion, it's physics. Every data center being built right now is replacing electrical connections with light. NVIDIA confirmed it with $4.5 billion in direct investment. I mapped 25 public companies across the photonics value chain: Every AI cluster being built today hits the same wall. A hundred thousand GPUs mean nothing if the data can't move between them fast enough. Copper maxed out years ago and photonics replaced it: lasers, optical fiber, and transceivers that push data at the speed of light. The AI transceiver market doubled in two years. NVIDIA committed $4.5 billion across three photonics companies this year alone. This is where the infrastructure money is going. Here's the full value chain: 🔬 MATERIALS & WAFERS This is the bottom of the chain. Every laser and transceiver starts as a wafer substrate: indium phosphide, gallium arsenide, germanium, specialty glass. Nobody above this layer can produce anything without these inputs, and right now the most critical one, indium phosphide, is the tightest material in the entire AI supply chain. The gap between demand and capacity is getting worse, not better. I think this is the most asymmetric layer on the map. Investors chase the transceiver companies and ignore who grows the substrates underneath them. But NVIDIA is writing checks worth billions in cash and warrants to lock up supply from this exact layer. First link in the chain, last to get attention, and the one that chokes everything above it if it breaks. Tickers: $GLW, $AXTI, $IQE, $AIXA, $AMS 💡 CORE PHOTONIC DEVICES This layer converts electricity into light and back. Without it, zero data moves through fiber. NVIDIA dropped $4 billion into two companies here this year just to secure production capacity, and both of them joined the S&P 500 within weeks of each other. That should tell you how fast this went from niche to essential. The supply gap is not closing. The companies shipping next gen lasers at volume can be counted on one hand, and switching suppliers takes years of requalification. Order books stretch past twelve months. Every next generation GPU cluster consumes more of these components than the last, and no one can substitute them on short notice. I watch this layer more closely than any other. Tickers: $IPGP, $COHR, $LITE, $LASR, $SIVE 🔌 COMPONENTS & MODULES The companies here take raw lasers and detectors, package them into finished transceivers and modules, and ship them straight to hyperscalers. If the layers below are the engine, this is the vehicle that actually reaches the customer. Hyperscaler purchase orders land here. The revenue acceleration shows up here first. What I like about this layer is that you can underwrite it today, not in two years. These are businesses with signed capacity commitments and product already moving. The consolidation angle matters too: larger photonics players have already started absorbing standalone module companies, and whoever remains independent gains pricing power as options thin out. Tickers: $AAOI, $MTSI, $VIAV, $LPTH ⚙️ SYSTEMS & EQUIPMENT No company above this layer can manufacture a single photonic component without the machines built here. One of these names holds 100% of the EUV lithography market with zero competitors. Others supply the bonding equipment for co packaged optics or the process control instruments used across the majority of advanced packaging lines. If photonics is the gold rush, this is the layer selling the picks. My honest take: this is where the smart, patient capital parks. Equipment companies have pricing power and multi year order books that generate cash through full capex cycles. They attract holders who don't panic on the first pullback. The stocks don't run 1,000% overnight, but they compound while everything above them swings, and that tradeoff is worth more than most people give it credit for. Tickers: $ASML, $BESI, $ASM, $LPKF, $MKSI 🔍 TEST, METROLOGY & YIELD The most ignored layer on this map, and arguably the one with the cleanest business model. Every wafer, laser, and transceiver has to be tested and verified before it ships. As speeds climb and photonic devices get more complex, the testing challenge compounds fast. The industry is now constrained not only by what it can build but by what it can prove actually works. Yield is money. Better defect detection means better margins for every company upstream, which is why foundries keep buying test equipment even when they slash budgets everywhere else. These are capital light businesses tied to every unit of production across the chain. Last check before product hits the customer, and one of the few layers where demand doesn't cycle down when the rest of semis softens. Tickers: $CAMT, $FORM, $AEHR, $ONTO, $VIAV 🧠FINAL THOUGHTS The NVIDIA capital concentration tells the whole story. One company wrote $4.5 billion in checks to three photonics suppliers in a single quarter. That is a company locking down the one input that could bottleneck its GPU deployments: the optical interconnect. Returns across this sector have been historic over the past twelve months. But separate the revenue growers from the narrative trades. Some of these companies are printing real quarterly numbers that would impress in any sector. Others are carrying multi billion dollar market caps on sub $100 million in annual revenue. Same sector, wildly different risk. Every generation of AI infrastructure from here forward needs more photonics. Not less. The copper to light transition inside data centers is early. Co packaged optics is barely in deployment, and 1.6T transceivers are ramping with 3.2T already on roadmaps. The chain locks together: stress on any single link reprices every link above it.

My favourite stocks in each sector right now: Nuclear: $SMR Robotics: $OUST Rare Earth: $UAMY Copper: $COPX ETF Memory: $DRAM ETF Space: $SATL & $VELO Solar: $CSIQ, $TE & $ENPH Drones: $ONDS & $KRKNF (UUVs) Neoclouds: $IREN, $NUAI & $KEEL Health/Bio Tech: $HIMS, $IBRX, $PRME

AI stocks nobody is talking about enough: • $AAOI — up 357% YTD, $1B revenue projected for 2026  • $LITE — up 143% YTD, revenue up 65% YoY, just added to S&P 500  • $ALAB — revenue up 93% YoY, profitable, $3 EPS projected for 2026  • $NBIS — GPU cloud, $12B Meta deal, $2B NVIDIA backing • $BE — $20B backlog, 58% revenue growth guided, Oracle deal for 2.1 gigawatts  Same AI theme as $NVDA. Fraction of the market cap.

PERMANENT UNDERCLASS

I have been saying it for a while, and I will repeat it again for all my new friends: Uranium ( $CCJ $DNN $URA $UEC $NXE ) Nuclear ( $LEU $OKLO $NNE $SMR ) Solar ( $FSLR $TAN $SEDG $CSIQ $ARRY $TE ) Softwares ( $MSFT $IGV $PANW $CRWD $NOW $TEAM $SNOW $DDOG $DOCN ) Drones ( $UMAC $RCAT $RDW $ONDS $KTOS ) If you dont have exposure to them, start considering. Everyone who follows me makes money by being in the right stocks at the right time.

15 best innovative smallcaps to own for 2026: 1. $KRKNF | Robotics/Defense (Anduril) 2. $EOS.AX | Counter-Drone Lasers 3. $EOSE | Energy storage 4. $SMR | Small-nuclear-reactors 5. $ZETA | AI-marketing software 6. $LUNR | Space Infrastructure/Moon 7. $RDW | Defense/Space Infrastructure 8. $MDA | Robotics/Space 9. $ONDS | Defense-Autonomy 10. $DRO | Counter-drone-tech 11. $TE | Solar/Battery tech 12. $FLY | Rocket-launches 13. $OUST | Lidar technology 14. $PGY | AI-powered credit network 15. $HSAI | Lidar (Robotics/Autonomous driving) Any others that deserve to be on this list?

$SMR --- $SMR is one of the most talked-about story-driven, high-beta tech-energy stocks on Wall Street. It is the only company globally with a Small Modular Reactor (SMR) design officially certified by the U.S. Nuclear Regulatory Commission (NRC). 1.The Power Crunch Savior for AI Compute Booms NVIDIA-powered AI data centers are voracious energy hogs that demand 24/7 zero-carbon baseload power. Wind and solar suffer from weather intermittency, while traditional large-scale nuclear plants take 10 years to build. SMRs can be deployed behind-the-meter directly adjacent to data centers—making them the ideal long-term energy solution for tech giants like Microsoft, Amazon, and Google. 2.Unmatched Regulatory Moat Nuclear energy is a policy and approval-intensive industry. NuScale’s design remains the only SMR technology with NRC safety certification in the market. Competitors like Oklo face a multi-year regulatory gap just to catch up on approvals. 3. New Blue Ocean for Industrial Decarbonization Beyond power generation, NuScale recently partnered with Ebara Elliott Energy to test high-temperature steam compressors. This means its SMRs can not only power data centers but also supply clean high-grade heat directly to heavy industries (e.g., chemicals, agricultural ammonia fertilizer manufacturing)—unlocking a second major growth curve.

President Trump is pursuing funding deals with a group of drone companies to boost domestic production. Another signal that U.S.-made drones are becoming a national security priority. $ONDS, $AVAV, $KTOS, $AVEX, $UMAC, $RCAT, $DPRO

SpaceX IPO, $SPCX is going public next month. This will instantly rerate whole space sectors and it’s associated supply chain. Major stocks to watch- 1. Direct SpaceX Supply Chain Links $STM — STMicroelectronics $TSLA — Tesla $VLD — Velo3D $RDW — Redwire Corporation 2. Launch & Space Infrastructure $RKLB — Rocket Lab USA $LUNR — Intuitive Machines $MDA — MDA Space $RDW — Redwire Corporation $VOYG — Voyager Technologies 3. Satellite Imagery / Earth Observation $PL — Planet Labs $SATL — Satellogic $BKSY — BlackSky Technology $FLY — Firefly Aerospace 4. Satellite Communications / Connectivity $IRDM — Iridium Communications $GSAT — Globalstar $SATS — EchoStar $TSAT — Telesat $VSAT — Viasat 5. Aerospace & Defense Systems $HON — Honeywell International $HWM — Howmet Aerospace 6. Materials, Alloys & Advanced Manufacturing $ATI — ATI Inc. $CRS — Carpenter Technology $MTRN — Materion $HXL — Hexcel $HWM — Howmet Aerospace 7. Broad Space ETF Exposure $UFO — Procure Space ETF

The Humanoid Robotics Component Chain 🤖 Rare Earth Magnets High-performance magnets (e.g., neodymium) for actuators and sensors. - MP Materials $MP — Leading US rare earth producer expanding into magnet manufacturing. - USA Rare Earth $USAR — Mine-to-magnet capabilities. Motor & Actuators Magnets, stators/rotors, bearings, gearboxes, high-torque actuators for joints and end-effectors. - Moog Inc. $MOG — High-performance actuation systems. - Rockwell Automation $ROK — Motion control, motors, and actuators. - Tesla $TSLA — In-house actuator and motor development for Optimus. Electronics & Control Power electronics, motor drivers, control boards, processors, and communication. - Texas Instrument $TXN — Motor drivers and power management. - Analog Devices $ADI— Precision signal processing and motor control. - Allegro MicroSystems $ALGM — Motor drivers and power ICs. - NVIDIA $NVDA — AI processors and control platforms. - Rockwell Automation $ROK — Control systems and PLCs. - indie Semiconductor $INDI — Automotive-grade semiconductors, radar, vision processors, and sensor-fusion solutions with humanoid robotics design wins. Sensors IMUs, force/torque, position encoders, tactile, and related sensing. - Honeywell $HON — IMUs, force/torque, and industrial sensors. - Teledyne Technologies $TDY — Sensors and imaging. - Novanta $NOVT ATI Industrial Automation — Force/torque sensors. - Cognex $CGNX — Machine vision and sensors. - Vishay Precision Group $VPG — Precision strain gauges, force/torque sensors, load cells, and foil-based technologies for robotic joints, limbs, and tactile feedback. Perception Systems LIDAR, depth cameras, radar, microphones for mapping and localization. - Ouster $OUST — Digital LIDAR. - Aeva Technologies $AEVA — 4D LIDAR/FMCW. - MicroVision $MVIS — LIDAR and perception tech. - Teledyne $TDY — Advanced imaging and sensors. - Tesla $TSLA — Camera-based vision system (FSD tech). Robot Integration & Humanoid System Full platform integration and cohesive robotic systems with real-world deployment. - Tesla $TSLA — Optimus humanoid development and integration. - Serve Robotics $SERV — AI-powered autonomous delivery robots and, through its acquisition of Diligent Robotics, Moxi — a proven hospital assistant robot deployed in 25 U.S. hospitals for logistics (medications, samples, supplies). Demonstrates scalable indoor/outdoor integration, perception, and safe human-shared environment operation. - Hyundai Motor $HYMTF — Owns Boston Dynamics (Atlas humanoid). - Rockwell Automation $ROK — System-level integration support. - Symbotic $SYM — Robotics integration expertise. Software & AI (The Intelligence Layer) Perception, SLAM, motion planning, AI/learning, simulation, and digital twins. - NVIDIA $NVDA— AI training/inference, Isaac simulation platform. - Palantir Technologies $PLTR— AI platforms for planning and decision-making. - UiPath $PATH — RPA and automation software. - Microsoft $MSFT / Alphabet $GOOG — Cloud AI and simulation tools. - Tesla $TSLA — End-to-end neural networks for Optimus.

The @NEARProtocol, ZEC, HYPE Trifecta Bull Thesis with @CryptoHayes & @ilblackdragon Timestamps 00:51 Arthur's Macro Thesis 01:32 AI Is National Defense 04:10 Full Port NEAR Zcash Hype 05:23 L1 Consolidation Has Begun 08:26 Why Arthur Loves Zcash 10:03 Naval Changed Arthur's Mind 12:56 Intents Enable Anonymous Swaps 13:45 20x NEAR vs 5x ZEC 14:51 $19B Volume $33M Fees 15:47 Privacy Enables Mass Adoption 19:07 NEAR Fully Diluted Now 21:01 AI Blockchain Vision 2017 26:31 HyperLiquid Fulfills DeFi Dream 28:43 No VC Sales Revenue Share 32:02 AI Labor Displacement Thesis 38:39 AOC 2028 Risk Scenario 44:39 When Does NEAR Deflate? 46:52 $150 Price Target Hype

10 WAYS TO PLAY ROBOTICS IN 2026 1. $TSLA building one of the most vertically integrated humanoid stacks combining Optimus Gen 3 hardware, its in-house AI5 inference chip & same FSD-based AI brain powering its vehicle fleet. 2. $NVDA platform layer for entire robotics industry with Isaac GR00T foundation models, Cosmos world models for synthetic training data & Jetson Thor on-board compute. 3. $PLTR Foundry & Warp Speed run mission control layer for robotic & autonomous fleets by turning sensor data & machine telemetry into a single deployable operating picture. 4. $OUST leading public pure-play in 3D digital lidar where Rev8 native-color sensor line is now shipping to $GOOGL & Volvo Autonomous while being integrated directly into Nvidia Jetson robotics stack. 5. $AVGO supplies custom networking silicon, Tomahawk Jericho switching ASICs & high-speed connectivity that move data between every robot, sensor & server in autonomy stack. 6. $AVAV, $KTOS, $AVEX & $ONDS are building the UAV drone fleets that feed into the autonomous defense networks. 7. $QCOM provides Snapdragon Ride autonomous platform & on-device AI inference SoCs that power the perception, decision & motor-control loops inside robots, drones & vehicles. 8. $SYNA Astra multimodal edge AI processors run wireless connectivity & sensing inside smart appliances, factory automation & autonomous robotic systems with Core IoT product sales growing 31% YoY. 9. $ISRG, $PRCT, $SYK & $MDT bring surgical robotics that are reshaping operating rooms. 10. $AMZN deploys hundreds of thousands of warehouse robots to move & pick goods while $SYM & $SERV build the autonomous mobile robots that power fulfillment & last-mile retail logistics.

Who controls the media? Meta owns: Facebook Instagram WhatsApp Messenger Threads Oculus / Meta Quest VR Meta AI Meta is controlled by Mark Zuckerberg who is jewish Alphabet owns: Google YouTube Android Gmail Chrome Pixel phones Nest smart home devices Fitbit (acquired in 2021) DeepMind Gemini AI assistant/model family Waymo — self-driving cars Verily — health technology Calico — longevity research Wing — drone delivery Alphabet is controlled by Larry Page and Sergey Brin who are both jewish Tic Tok U.S. algorithm, cybersecurity and infrastructure is controlled by Oracle Oracle is controlled by Larry Ellison and he’s jewish Hookup Apps Match Group owns: Tinder Hinge OkCupid Match.com Plenty of Fish Meetic The League BLK Archer OurTime Was founded by Barry Diller who is jewish Grindr Was founded by Joel Simkhai who is jewish Bumble Was founded by Whitney Wolfe Herd who is jewish Porn Onlyfans Owned by Leonid Radvinsky who is jewish Vixen Media Group owns: Blacked Blacked Raw Vixen Tushy Deeper Founded by Greg Lansky who is jewish Aylo/MindGeek Owns/owned: Pornhub YouPorn RedTube Brazzers Reality Kings Digital Playground Men.com Sean Cody Tube8 Solomon Friedman is the owner of Aylo and he’s jewish Gamma Entertainment owns/operates: Adult Time Pure Taboo Wicked Girlsway many affiliate studios/platforms Founded by Karl Bernard who is jewish Movies/TV/News Warner Brothers Discovery owns: Warner Bros. Pictures HBO CNN DC Studios Cartoon Network Discovery Channel TNT TBS Max (formerly HBO Max) Adult Swim HGTV Food Network Animal Planet Warner Brothers is run by David Zaslav who is jewish Disney owns: ESPN ABC Marvel Studios Lucasfilm Pixar 20th Century Studios Disney Hulu (major controlling stake) National Geographic Disney is run by Bob Iger who is jewish Paramount Global owns: Broadcast & News CBS CBS News CBS Sports Local CBS stations Film Studios Paramount Pictures Paramount Animation Paramount Players Cable Networks MTV Nickelodeon Comedy Central BET VH1 CMT TV Land Smithsonian Channel Logo TV Pop TV Streaming & Premium Paramount Showtime Pluto TV Major franchises/IP Top Gun Mission: Impossible Star Trek South Park (licensing/streaming arrangements) SpongeBob SquarePants Transformers Teenage Mutant Ninja Turtles Paramount Global is controlled by Sheri Redstone, who is jewish Comcast owns: * NBCUniversal * NBC * Universal Pictures * Peacock * MSNBC * CNBC * Telemundo * Sky (Europe) * DreamWorks Animation * Xfinity Comcast is controlled by Roberts family who is Jewish AI/Data Centers OpenAI/ChatGPT Run by Sam Altman who is jewish Palentir provides advanced data integration, surveillance, AI, and analytics infrastructure used by military, intelligence, law enforcement, and major corporations. Its platforms help organizations combine massive amounts of fragmented data into real-time operational intelligence for warfare, policing, logistics, cybersecurity, manufacturing, and decision-making, making it one of the most strategically influential data and defense technology companies in the world. Owned and operated by Peter Thiel and Alex Karp both jewish Oracle owns: Oracle Database Java MySQL NetSuite Cerner Sun Microsystems technologies It’s important because it owns core infrastructure software that powers governments, banks, hospitals, corporations, and large parts of the internet. Its control of technologies like Oracle Database, Java, MySQL, and Cerner gives it enormous influence over the backend systems modern society depends on. Owned by Larry Ellison who is jewish

Photonics continues to be the leading theme this year: $SIVE Sivers Semiconductors 1656.63% $IQE IQE 863.16% $AXTI AXT Inc 718.78% $AAOI Applied Optoelectronics 399.28% $ALRIB Riber 338.86% $AEHR Aehr Test Systems 328.79% $LWLG Lightwave Logic 295.38% $WOLF Wolfspeed 290.88% $OPTX Syntec Optics 268.28% $AIXA Aixtron 209.75% $VIAV Viavi Solutions 174.29% $HIMX Himax Technologies 154.41% $LITE Lumentum 145.24% $STM STMicroelectronics 144.28% $CIEN Ciena 141.93% $TSEM Tower Semiconductor 135.23% $GFS GlobalFoundries 132.28% $UMC United Microelectronics 131.81%

Plenty, and they're right there on the board. PCVX is the worst at down 19%, TIGR down 14%, MSTR and KTOS both down around 12%. It's a concentrated small and mid-cap book, so the spread is wide by design: the INOD and TE winners carry it while the biotech and the leveraged names lag. PCVX is the one on the shortest leash. Posting the misses as openly as the wins, not advice for anyone's book.