🔥 $Meta Platforms, Inc.(META)$ is building across the entire AI stack. 1️⃣ Chips: MTIA 2️⃣ Infrastructure: Meta Compute 3️⃣ Foundation Models: Muse Spark 4️⃣ Applications: Muse + Meta AI This is bigger than simply building better AI models. The AI race is increasingly becoming a race for vertical integration. The companies that control more layers can optimize the system end-to-end, from compute costs and model efficiency to distribution and monetization. $Alphabet(GOOGL)$ $Microsoft(MSFT)$ $Amazon.com(AMZN)$ $SpaceX(SPCX)$ And every layer matters. Owning more of the stack give

🔥 $ARM Holdings(ARM)$ at $275 is getting interesting. SoftBank is reportedly raising its margin loan tied to Arm to $25B, while the chart continues to look increasingly explosive. The technical setup is fairly clean here. $230 is the key risk level, giving the trade a clearly defined invalidation point. The AI/semiconductor theme remains hot, and Arm CEO Rene Haas has also been highly visible in the media, keeping attention firmly on the name. 📈 Swing trade setup: • Entry: $250–$265 • Risk: Daily close below $237 • First target: $400 • Time frame: Multi-week The idea is to let the stock work while keeping the downside clearly defined. Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury yields, oil

The AI trade is much bigger than $NVIDIA(NVDA)$ . If you look at the entire AI infrastructure stack, the money is flowing through multiple layers — from compute and cloud capacity all the way to networking, power and data centers. Here’s how I’m mapping it: ☁️ AI Clouds$SpaceX(SPCX)$ $NEBIUS(NBIS)$ $CoreWeave, Inc.(CRWV)$ $IREN Ltd(IREN)$ $SharonAI Holdings Inc.(SHAZ)$ This is the layer closest to the actual demand for AI compute. As AI models become larger and inference workloads grow, companies need more GPU capacity and more speciali

My Q4 stock superlatives 😂👇 🏆 Most likely to go parabolic short-term: Crypto names — $Robinhood(HOOD)$ $Coinbase Global, Inc.(COIN)$ 💀 Most likely to wake up from the dead: Drones — $Ondas Holdings Inc.(ONDS)$ 😴 Most likely to be a sleeper pick right now: China — $Alibaba(BABA)$ 🤯 Most likely to become the “how did we miss this?” trade: Memory round two — $Astera Labs, Inc.(ALAB)$ $Micron Technology(MU)$ 🐻 Most likely to trap the bears: Rockets — $Rocket Lab USA, Inc.(RKLB)$ 🤫 Most likely to quie

There’s a part of $Meridian Hldg(MRDN)$ that investors may be seriously underestimating. 👀 Its in-house game studio, Expanse Studios, is growing FAST: 📈 Revenue: +138% YoY 👥 Players: +67% YoY 💰 Pay-ins: +143% YoY 🎰 Operator sites: 1,881 vs. 1,519 last quarter And this isn’t just a side project. Expanse actually builds the casino games — slots, table games, and the fast crash games gaining traction across emerging markets. 🎮🎰 Last quarter alone, it launched 18 new titles, bringing its total library to 95 games. Here’s where things get interesting. 👇 Being part of the broader $MRDN group gives Expanse some advantages that standalone game studios don’t necessarily have. Its own aggregator can distribute the games at a lower cost. Its casinos provide

Everything but price. 👀 My non-financial-advice advice if you have a habit of selling stocks too early: Stop watching the price. I know that sounds strange. 😅 But the “money burning a hole in your pocket” syndrome is incredibly common. You get into a position. It turns green. 🟢 Then you watch that profit grow… and suddenly every little pullback feels painful. A stock goes from +12% to +9% and your brain starts thinking: “Maybe I should just take it.” So you sell. Then the stock keeps running without you. 🤦‍♂️ The problem is that watching price — especially on lower timeframes — creates a TON of noise. And most of that noise has nothing to do with the original thesis. So here’s what I do: Once I’m in a position, it’s green, and I have a trailing stop in place, I stop looking at the actual s

Investors are still treating the memory boom like it has an expiration date. ⏳ Forward estimates point to Micron reaching roughly $220B in operating profit by 2028, while SK Hynix is estimated at around $337B. The market clearly isn't buying those numbers yet. $Micron Technology(MU)$ trades at roughly 6x forward P/E, while $SK hynix(SKHY)$ sits around 4x. The argument is familiar: memory is a commodity business, supply will catch up, and revenues will start falling next year. We’ve heard this story before. 👀 Back in 2023, plenty of investors also dismissed Nvidia's forward earnings estimates and questioned whether its growth could last. Three years later, Nvidia was still delivering 100% YoY revenue growth

Biotech is putting together another strong session, and the strength isn't limited to one or two names. 🧬🔥 A broad group of biotech, genomics and life-science stocks are moving higher, with several names posting gains of more than 10%. Here’s the current lineup: 🚀 Big Movers $Absci Corporation.(ABSI)$ +17.29%$Tempus AI(TEM)$ +15.29%$Twist Bioscience Corp(TWST)$ +11.61%$Biohaven Pharmaceutical Holding Co Ltd.(BHVN)$ +11.28%$Butterfly Network Inc(BFLY)$ +10.27% 🧬 Genomics & Gene Editing $CRISPR Therapeutics AG(CRSP)$ +9.65%

The server plan is interesting, but that’s not the part I’m watching most closely. The bigger issue for $Apple(AAPL)$ is what comes before the server. Apple has world-class hardware, its own silicon and more than enough cash to build AI infrastructure. But on the consumer AI side, the company still hasn’t produced a product that defines its position in the current AI race. There’s no Apple equivalent of ChatGPT sitting at the center of the ecosystem. Instead, Apple is increasingly leaning on outside models, including Google Gemini, to strengthen the AI experience across its devices. That creates an awkward gap. Apple owns the device, controls the chips and runs the operating systems, but the intelligence powering many of those experiences can come

$SK hynix(SKHY)$ is reportedly talking with $Intel(INTC)$ about potentially making memory chips in the US. That would be a pretty unusual pairing. SK Hynix has been producing its memory largely in Korea and China, while Intel is sitting on partially built US fabs and a foundry business that has struggled to generate returns. At the same time, AI demand has pushed the memory market into a supply crunch, giving Hynix a very different problem: customers want more chips, and Washington wants more semiconductor production on US soil. 🔥 One possible route is for Hynix to lease part of Intel’s stalled Ohio fab footprint rather than build everything from scratch. But there’s a major complication in Seoul. HBM and

A stock can have a great chart, a cheap valuation and a convincing setup. But if there’s nothing on the calendar capable of changing the story, I’m usually not interested. For me, the first question is simple: What is the catalyst? 👀 Earnings. A new product. A management change. A major contract. A sector tailwind. A macro event. Even an unexpected development can do it. The key is that it needs to be clear, meaningful and close enough to matter. A chart can show you what has happened. It can’t create a reason for buyers to suddenly care. That’s an easy filter for cutting out random positions. Before opening a trade, ask yourself: 👉 What gets this stock out of bed and moving? If you can’t answer that clearly, you may be trying to manufacture a trade where there simply isn’t one. If the set

Wall Street had largely expected $Nu Holdings Ltd.(NU)$ to make its US move in 2027 or 2028. Instead, NuBank has already started signing up American customers through a partner bank, sidestepping the wait for a full banking approval. That gives $NU an unusual starting point. It enters the world’s biggest banking market with 140M customers across Latin America and a model already operating at scale in Brazil, Mexico and Colombia. 🚀 The bigger opportunity may be remittances. Americans send roughly $70B a year to Brazil, Mexico and Colombia, generating plenty of fees for companies such as Western Union, Remitly and Wise. $NU is now offering free international transfers on those corridors, with transfers arriving within minutes. That can work as a custo

$SK hynix(SKHY)$ has gained 411% over the past year, the kind of move that normally comes with a valuation that leaves little room for error. That’s not what the numbers show. 👀 The stock trades at roughly 4x forward earnings, while earnings are expected to double next year. At that valuation, the market appears to be pricing in a sharp slowdown even though the current cycle still has room to run. And the estimates are already moving higher. 📈 Samsung’s Q3 EBIT estimate has been raised 12% to $84B, while $SKHY’s EBIT forecast has climbed 4% over the past few months to $56B. That’s the interesting part of the setup. The debate around $SK hynix(SKHY)$ $Micron Technology(

“If you aren't willing to own a stock for 10 years, don't even think about owning it for 10 minutes.” Warren Buffett He realised that the industry operates on a 90-day cycle, with investors obsessing over quarterly earnings reports and Wall Street analyst upgrades. However, a person who wishes to be a successful long-term investor to beat the index must have a multi-year mindset. Short-term thinking to terrible decisions. In April of 2022, Bill Ackman famously panicked and sold $Netflix(NFLX)$ for a huge $400M loss. This was after the company lost just 200K subscribers in Q1 2022. This was simply panic selling, and an investor of Ackman’s caliber and experience should have known that. He was too focused on short-term thinking. It was clear that t

Tether has shown just how powerful the stablecoin model can become. $Tether(USDT.USD.CC)$ ended 2025 with more than $10B in profit and over $186B in circulation. Now $SoFi Technologies Inc.(SOFI)$ is entering the same market with a very different setup. SoFiUSD is issued by SoFi Bank, a regulated U.S. national bank, and is fully reserved 1:1 for dollars. SoFi has already partnered with Mastercard for settlement and Kraken for distribution and liquidity. The bull case is simple 👇 If SoFi can capture even a meaningful slice of the stablecoin market, the economics could become enormous given the high-margin nature of reserve-backed stablecoin businesses. And $SOFI doesn't need to replace Tether overni

AI may be one of the most powerful cyber weapons we've ever seen. The ability to discover vulnerabilities, automate attacks and exploit weaknesses at scale is changing the cybersecurity equation fast. And the market is reacting. 🔥 $Rapid7(RPD)$ +24.01% 🚀 $Zscaler Inc.(ZS)$ +16.56% ⚡ $Tenable Holdings Inc.(TENB)$ +15.91% 💾 $Rubrik Inc.(RBRK)$ +15.64% 🔐 $SailPoint Parent, LP(SAIL)$ +15.31% 🛡️ $SentinelOne, Inc(S)$ +14.48% 🔥 $CrowdStrike Holdings, Inc.(CRWD)$ +13.85% 🚨

Not enough retail investors compare their results against a benchmark. Well, how do you know if your investments are doing well? You might feel happy that your portfolio grew by 9% last year, because that is the long-term average return of the $S&P 500(.SPX)$ . However, that is the long-term average. That means that there are years when the index returns are weak, and there are years when the index returns are supreme. So you can’t compare your yearly returns against the long-term average. Maybe the S&P 500 grew 15% last year, meaning that your 9% return significantly underperformed the index. That’s not necessarily a disaster, as nobody, even Warren Buffett, can beat the index each year. You just need to analyse the causes. If you are con

Investors spend too much time following the news instead of analysing businesses. Don’t forget that the media exists to generate attention, clicks, and advertising revenues. The media do not care if you lose money after panic selling or euphoric buying. All the news does is ring alarm bells about the economy, oil prices, the Iran War, and market volatility. This is why investors must ignore short-term market news and focus more on the fundamental analysis of businesses. Long-term investors value a stock based on the present value of expected future cash flow. If markets operated strictly on such assumptions, stock prices would only move when the actual long-term cash flow expectations of the company changed. Yet, stock prices swing wildly from day to day and month to month, while the actua

$SK hynix(SKHY)$ s around $190, and the forward numbers are getting hard to ignore. Analysts see 2028 at roughly: 💰 $439B revenue 📈 $264B net income 💵 $226B FCF Yet the stock is trading at roughly 4x forward earnings. That valuation says the AI memory boom is about to fade. The contracts tell a different story. Many of the major deals run for 5 years, putting meaningful demand visibility into 2029 at the earliest, with some investors looking toward 2030. That’s the interesting part. The market is still valuing $SKHY like a traditional commodity memory business, while the company is increasingly operating with long-term visibility, AI-driven demand and much stronger earnings power. At $190, the question isn’t whether the boom lasts forever. It’s wh