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6. 6Monopoly Stocks: 10 Companies Dominating Their Industries 🧵👇 1. ASML 2. TSMC 3. Microsoft 4. Google 5. Visa 6. Moody’s 7. S&P Global 8. Adobe 9. Intuitive Surgical 10. Axon

Warren Buffet 10 Critical trading Techniques

L'effetto non è immediato, ma la Cina taglierà le gambe alle varie OpenAi, Antrhopic, Google, Nvidia, AMD, AVGO e le altre 50 che girano intorno "DeepSeek-V4 Preview è ufficialmente live e open-source! Benvenuti nell'era della lunghezza di contesto da 1M a costi contenuti. 🔹 DeepSeek-V4-Pro: 1.6T totali / 49B parametri attivi. Prestazioni che rivaleggiano con i migliori modelli closed-source al mondo. 📷 DeepSeek-V4-Flash: 284B totali / 13B parametri attivi. La vostra scelta veloce, efficiente ed economica. Provatelo ora su chat.deepseek.com tramite Modalità Esperto / Modalità Istantanea. L'API è aggiornata e disponibile oggi!"

Software has a problem, and today's reaction to $NOW points to it. Today's customers will mostly stay, though usage growth may slow (already seeing this in net revenue retention for many SaaS names). New logo growth however will probably be smaller, as start-ups and more agile businesses, themselves built with AI, are more likely to use AI to operate. Net result is that revenue growth will at least slow down, even if it doesn't reverse. But there's a bigger problem, because most tech companies, SaaS in particular, are valued on their terminal growth. A DCF with a 3% terminal growth rate implicitly assumes the business exists in perpetuity. If you haircut that with even a 20–30% probability of obsolescence over 10 years, the present value of the terminal value collapses. Often 40–60% of the total equity value in a growth SaaS DCF sits in the terminal. This is exactly why the multiple compression has been so violent rather than gradual. Tl;dr: software stocks are down materially, but they may literally never recover. The rate of capability improvement of foundational AI models is just too fast and too unpredictable. If you factor obsolescence risk into today's valuation, fair multiples - especially for mid-tier workflow SaaS - may be 30–40% below 2021 peaks, even after growth resumes.

The creator of Claude Code teaches more about vibe-coding in 30 minutes than most tutorials do in hours. Save this — it'll change how you build forever.

$HRBR pitch by Cedar Creek Partners

SPACE ECONOMY CHEAT SHEET A SpaceX IPO likely forces the market to look beyond rockets and start repricing the full supply chain and infrastructure layer beneath the space economy: Spacecraft & Launch Systems • $YSS manufactures standardized satellite buses for rapid deployment • $RKLB builds launch vehicles, spacecraft systems & broader orbital infrastructure • $VOYG supplies space infrastructure & in-space services for government programs • $LUNR provides lunar landers & surface delivery systems tied to NASA Artemis missions • $FLY develops launch vehicles & lunar lander services for commercial & government missions • $RDW manufactures spacecraft components, deployable structures & in-space manufacturing systems Satellite Operators & Services • $BKSY provides real-time geospatial intelligence & high-revisit satellite imagery • $IRDM operates the only truly global LEO satellite network covering the entire planet • $SPIR delivers satellite-based data & analytics across maritime, weather & RF monitoring • $AMZN building a direct-to-device & broadband satellite network through Project Kuiper + $GSAT assets • $PL operates the largest Earth observation constellation serving commercial, defense & intelligence customers • $ASTS building a space-based cellular broadband network for D2D connectivity with BlueBird 7 launching April 19 & 45-60 satellites targeted by year-end 2026 Raw Materials & Mining • $AA supplies aluminum used in launch vehicles & spacecraft structure • $FCX provides copper that feeds power systems & electronics across the space stack • $TECK offers diversified exposure to critical minerals tied to aerospace & industrial buildout • $MP controls the only scaled rare earth mining & processing asset in the U.S. supporting satellite & propulsion supply chains Specialty Materials & Alloys • $ATI produces titanium & nickel alloys critical to propulsion & aerospace systems • $HXL makes carbon fiber composites used in launch vehicles & satellite structures • $PKE manufactures advanced composite materials for aerospace & defense structures • $CRS supplies high-performance alloys used in rocket engines & spacecraft component • $GLW supplies specialty glass & optical components for satellite communications & sensing • $MTRN provides advanced materials & precision components for defense and space systems Electronics & Semiconductors • $QRVO supplies RF chips & filter components for satellite communications payloads • $LITE supplies optical components & lasers used in high-speed communications links • $ADI supplies precision analog & sensing chips used across satellite and launch systems • $COHR provides lasers & optical components tied to satellite & communications systems • $NVDA provides AI compute infrastructure for satellite data processing & autonomous systems • $STM provides semiconductors for guidance, control & communications in space-grade applications • $AVGO supplies connectivity & networking semiconductors used across communications infrastructure

Michael Phelps won 23 Olympic gold medals using a mental technique most athletes ignore: "The biggest thing that really separated me through my career was my mental game. Everything that was in between my ears." Michael explains how he used visualization: "When I would visualize, I'd visualize every single thing getting up to a meet, probably a month or so in advance. What could happen. What I want to happen. And what I don't want to happen. Because when it happened, I was prepared for it." He describes the goal: "When I got to a swim meet, there's nothing I can control at that point except what I do. I can't control what anybody else does. So I want to know how the race could go, how I don't want the race to go, and in a perfect world, how the race should go. So I could get behind the block and not have to think about anything." His coach Bob Bowman reveals how they trained this skill: "When Michael was young, I gave his mom a book of progressive relaxation. Before he'd go to bed at night, she would read this progression of things: clench your fists, work through your whole body. He got so good she'd just open the book, say two things, and he'd be asleep." Bowman explains why visualization works: "The brain cannot distinguish between something that's vividly visualized and something that's real. By the time Michael steps up on the block at the Olympics, he's swum that race hundreds of times in his mind. All he has to do is shut everything down and it goes on autopilot." Michael adds the key detail most miss: "When I would visualize, it would be what you want it to be, what you don't want it to be, what it could be. So you're always ready for anything. If I have a suit rip, fine, I need another suit, put it on. Any small thing that could go wrong, I'm ready for."

Swedish have been really successful with the serial acquirer model and now we have an interesting one also in Finland: Auroora Group $AUROORA 🇫🇮 listed in April to Helsinki: Acquiring small companies in three categories: 1. Electrification and automation (Biggest atm) 2. Industrial products and services (Most growth) 3. Clean water and evironment Target companies are small (1-20m rev), profitable/cash flow positive, ROCE +15%. Price EV/EBITA 4-8. Mostly targets close to 100% ownership with companies staying independently managed. Auroora 2025 numbers (€): Revenue 235m, ROCE 15%. Mcap 180m, EV 230m. Auroora IPO'ed and trading roughly at EV / EBITA = 10, which is about half of the Swedish peers valuation. Ofc track record is way shorter etc. so there's still plenty of proving to be done. But multiples are not demanding. They've def had buyers market for the last years (Finland's economy has not been doing well) and probably continues to have pretty solid pipeline to buy cheaper than their own current multiple, which would keep the compounding wheels spinning. The sectors they are playing, imo has clear growth opportunities also. So could hit few winners too. Ofc depends on the execution how well Auroora can find/buy these. Auroora is targeting 400m revenue by 2028.

This 8 minute video by Nassim Taleb will show you how a 70-year-old formula used by quants separates top traders from bankrupt ones Bookmark & watch it. It will change the way you trade forever. Then read the post below

@orrdavid He thought for 5 minutes..bha

We’re long MTU Aero Engines, $MTX in Germany. Report at kerr.co/mtx. Disruption from the GTF powder metal issue has been priced as permanent impairment, leaving the stock at an unjustified ~40% discount to peers. We see €545 fair value, implying 67-69% upside 1/9

@KerrisdaleCap My supplier, a lot of purchasing power

@orrdavid You can create with claude a list of prompt based on munger thinking then automatized the process with phyton and then make it run everyday with an agent.with claude agent they can also track 10 k amd news and kill your thesis.

I'm short 250 stocks. I'm starting my bi-annual review of all the positions. I sort them by position size and I take turns going through the smallest and largest. The smallest positions have worked fantastically as a basket. The "review" generally takes under a minute per company. The largest positions worked horribly as a basket. The review is painful. There are many obvious-with-hindsight mistakes, and I'll sit there and wrestle with them for 20 minutes before realizing I should just shrug and quit. Every time I go through this process I spend less time reviewing each individual short. I more quickly add to the shorts that have been working and more quickly quit or at least trim the ones that have been losing. Years ago I learned that I should only do this review twice a year because more often made me overtrade and make more mistakes than not, nevermind the wasted time. However, I'm thinking there could be a way to use AI to make this process run constantly - an impartial AI could do it, maybe? Maybe there's a way I put on ideas, and the AI just automatically takes them off without me even thinking about it, or even seeing it? Has anyone played around with this?

Top pinebrookcap.com/p/oil-market-d…

Fiziksel engellerine rağmen her gün yiyecek aramaya çıkıyorlar.. Hayaller yerine birbirlerine tutunuyorlar..🥹 Savaş sadece evlerini değil, çocukluklarını da aldı… 💔 Ama onlar hâlâ vazgeçmiyor..🍉

@GiovanniZibordi Ai suggerisce astrazaneca e guardant

a proposito di fare miliardi con il cancro, $RVMD da 30$ mesi fa è esploso ora a 130$ perchè in un trial i malati di cancro al pancreas muoiono circa 9 mesi dopo ------------------------- Daraxonrasib è il "farmaco schifoso" che il senatore Ben Sasse, che la prende, sta descrivendo, e potrebbe essere la cosa più importante successa al cancro al pancreas in una generazione. Le mutazioni RAS guidano più del 90% dei tumori al pancreas. Per decenni la proteina è stata considerata non farmacologicamente trattabile. Daraxonrasib è il primo della sua classe a colpire direttamente la forma attiva di RAS, e nelle prime sperimentazioni i pazienti di seconda linea hanno visto una sopravvivenza mediana libera da progressione di 8,8 mesi. Il numero che la maggior parte di questi pazienti riceve di solito è più vicino a due o tre. La FDA gli ha concesso la designazione di Terapia Rivoluzionaria e Farmaco Orfano per un motivo. Il settore si sta finalmente muovendo perché abbiamo smesso di inseguire una sola risposta e abbiamo iniziato ad attaccare la biologia che in realtà guida la malattia.

Chatgpt/OpenAi è il centro della bolla della Intelligenza Artificiale, ma salterà perchè Sam Altman aveva già fatto una mega truffa a 23 anni per 40 milioni e con quei soldi si è inserito in Chatgpt e ora incredibilmente è al centro di 1,200 o 1,300 miliardi di dollari di investimenti Sam non è un ingegnere o scienziato o tecnico, sapeva programmare solo un poco e aveva fatto a 21 anni un app per vedere se dalla lista dei tuoi amici quando sei al ristorante qualcuno è anche lui al ristorante e quanto è vicino !! Cioè l'app mostrava nei ristoranti di S.Francisco se qualcuno nella tua lista di contatti era anche lui a cena Come spiega questo che era nel giro, Sam Altman ha mostrato che aveva centinaia di migliaia di utilizzatori e l'ha venduta per 40 milioni ad una telecom. Poi si sono accorti che erano 800 o 900 iscritti, non pagavano e i dati forniti erano tutti falsi. Ma uno dei VCapital che gli stava dietro ha convinto appunto una corporation a pagare 40 milioni. Poi appena l'hanno avuto l'hanno chiusa, ma si vergognavano a fargli causa perchè erano stati degli imbecilli

@orrdavid How can be so expensive? I want to plant it

My wife randomly told me, "look how fresh the produce is from Life." Every time I go to one they're packed. And they do delivery. $8194

Worth it