People pile into individual AI and tech stocks believing they can outsmart Wall Street. Then the first 20% to 40% drop hits and panic sets in. Meanwhile $QQQ is down only about 10% because diversification works. The irony is that many investors think they're better stock pickers than teams of analysts who do this for a living. You don't need to predict the next Nvidia. You need to own the winners before anyone knows who they are. That's exactly what an index does. Stop trying to be smarter than the market. Own the market. Stay invested. Keep buying. Let time do the heavy lifting Also stop following these so called social media finance folks on blossom look at their total returns first many are underperforming the index and you are paying to take their cource?!!!! Come on man wake up! They use click bait to show you high returns from their so called 'passive income ' when it's mostly high risk leveraged products of the underlying stock. These products amplify your returns in both directions but greed and fear will make you do irrational decisions! Hence be a Vulcan investor! stay in the market and play the long game...be the Tortoise 🐢 not the hare 🐰 chasing the 🥕read more
Everyone has an opinion on companies like $GOOGL and their AI spending, but does anyone really know what the return on spending will be? These charts are wild and show how much $GOOG is spending on AI, and how they also had their first ever quarter of negative cash flow. Eventually the market will demand proof of return, right?
$MU$SNDK$AMD$NVDA$GOOGL$MSFT Lower token costs lead to lower compute prices, lower datacenter ROIs, less capex spend, and finally lower semiconductor orders. Token costs and being able to produce tokens with compute for a profit has been driving this entire datacenter buildout. What happens when the economics no longer support the buildout. I don’t believe this bear narrative myself but this chart is an important one to watch, and right now it’s one of the datapoints driving the selloff.
Why do I invest in the Nasdaq? A quick note to all my young(er) investors: 1. Growth. You’re investing in the markets most aggressive and innovative companies who have the highest potential for exponential growth. 2. I’m 30! I have a loooong term horizon to where I can ride out any bumps in the road. (Those bumps can be mountains). Tech can take a major hit in a downturn while also skyrocket in a bull market. 3. These companies like $NVDA$MSFT$META$AAPL shape the economy. They are hyper-focused on the future of AI fundamentals and accelerating cloud based technology. Why do YOU invest in what you invest in? $QQQM$VOO$AMZN$MU$AVGO read more
Question to all the $NVDA holders. I've been interested in owning the stock directly but I have a few concerns long term. What makes you hold it long term? knowing the major tech giants are investing billions into their own Ai silicon so they could eventually step away from Nvidia like apple did with Intel. Intel ended up being okay but what if they all eventually did. Is Nvidia looking long term like Google and apple type long term?
$SCHD ($165B/+98%), $IBKR ($97B/+59%), $HOOD ($22B/+127%) As the US market pushes higher, risk-on leverage is exploding! Surge in margin balances boosts interest margins & trading revenue, signaling ultra-bullish sentiment across retail & institutions alike. Sign of a massive breakout or overheating market?
Memory, test, and power all reported — and the AI buildout thesis just got louder and more volatile in the after hours, most AI names down after SK Hynix report🚨 SK Hynix ($SKHY) put up an absolutely record quarter and the stock still fell. Revenue ₩79.3T (~$54.6B, +257% YoY), operating profit ₩60.5T (~$41.6B, +557% YoY), 76% operating margin, first-half revenue over ₩100T for the first time ever. DRAM ASPs +~30% QoQ, NAND +mid-50% QoQ, HBM4 mass shipments underway, 10 long-term supply agreements locked. Genuinely insane growth. BUT!! it came in UNDER consensus (~₩84T rev / ~₩64T OP), and a miss is a miss, even a record-setting one. When a name has run this hard, the bar isn't "grow a lot," it's "beat and raise." The demand signal is as strong as it's ever been. This earning confirms it, but the bears have won this battle as the memory and chip selloff continued after hours with $MU taking a big hit too. Teradyne ($TER) isthe read-through that matters, and it confirmed everything. Revenue $1.329B (+104% YoY), second straight record quarter, non-GAAP EPS $2.47 (+300%+ YoY), both above the high end of guidance. *Record memory revenue* on DRAM strength and a NAND final-test resurgence — exactly the SK Hynix story from the equipment side. Q3 guide above consensus, and management pointing at rising wafer fab equipment spend setting up 2027. Stock up +10% after hours. Bloom Energy ($BE) covers the power leg. First-ever billion-dollar quarter: revenue $1.065B (+165% YoY), non-GAAP EPS $0.78 vs $0.40 expected (~95% beat), gross margin 33.4% (+668bps), product revenue +215%, positive operating cash flow, and a raised full-year guide. Every major US hyperscaler plus a dozen-plus neoclouds have now validated their fuel cells for AI factories. Stock +10% after hours also. Bottom line: memory pricing, test demand, and on-site power all printed at once and all three said the same thing. The AI infrastructure thesis is fully intact. SK Hynix's red candle is an expectations story, not a demand story. Regardless the market is still selling off AI names in fear of valuation and the AI buildout stalling, even though all signs point to increased compute demand, the valuation was just stretched. Who’s buying or holding through this reset? I’m doing both and it definitely hasn’t been much fun, but sometime conviction isn’t easy. Let’s lose more money tomorrow 😭read more
The AI boom is often discussed through companies like Nvidia ( $NVDA ), Microsoft ( $MSFT ) , Google ( $GOOGL ), and $META . However, the bigger story is the massive infrastructure being built underneath artificial intelligence. AI models require enormous amounts of computing power, electricity, networking equipment, memory, and data-center capacity. Right now, demand for these resources is growing faster than companies can build them. This suggests that the AI infrastructure cycle may still be in its early stages. The World Is Compute-Constrained The biggest limitation in AI today is not a lack of ideas or customer demand. It is the limited availability of high-performance computing capacity. Cloud companies and AI developers need more GPUs to train models and run inference. Hyperscalers such as Google, Microsoft, Amazon, and Meta are spending tens of billions of dollars expanding their AI infrastructure, yet many still report capacity constraints. This creates a strong environment for companies involved in: -GPUs and AI accelerators -Data centers -Advanced semiconductors -Memory and networking -Cloud computing -Electricity generation and storage -Nvidia Is Building More Than Chips Nvidia remains at the center of the AI infrastructure cycle, but its advantage goes beyond selling GPUs. The company provides complete systems that combine chips, networking, software, cooling designs, and data-center architecture. This makes Nvidia more like the operating system of the AI infrastructure ecosystem. Its next-generation Vera Rubin platform is expected to offer major improvements in performance and energy efficiency. As AI models become larger and inference demand increases, customers may continue upgrading to newer Nvidia systems even when the price of each rack rises. The key metric is no longer just the price of the GPU. It is how many AI tokens a system can generate per second while using the least amount of power. Neo-Clouds Could Become Major Players Specialized AI cloud companies such as CoreWeave ( $CRWV ) and Nebius ( $NBIS )are also becoming important. These companies focus heavily on GPU-based computing instead of offering every traditional cloud service. Their main advantage is that they can deploy AI capacity faster and provide specialized infrastructure for companies that cannot secure enough computing power from larger cloud providers. CoreWeave appears to be the more direct infrastructure investment because of its rapidly expanding power capacity. However, its high debt and capital requirements create significant risk. Nebius offers more software exposure and owns stakes in other technology businesses. This may provide more diversification, but it also makes the investment thesis less focused. These companies could benefit enormously if demand remains strong, but they are also higher-risk investments because they require constant financing and heavy capital spending. Hyperscaler Spending Is Driving the Cycle Google, Microsoft, Amazon, and Meta are all increasing spending on AI infrastructure. This benefits not only Nvidia but also $AMD , $TSM , memory producers, networking companies, energy providers, and data-center operators. The important point is that this spending is not limited to one quarter. Many of these companies are planning infrastructure projects that could continue through the end of the decade. Investors should closely watch: -Capital-expenditure guidance -Cloud revenue growth -AI infrastructure utilization -Data-center construction -Power availability -Advanced chip packaging capacity As long as AI revenue continues growing and computing capacity remains limited, hyperscalers are likely to keep spending aggressively. Power Could Become the Next Bottleneck AI data centers consume enormous amounts of electricity. Even when companies can buy enough GPUs, they may struggle to secure enough power to operate them. This creates opportunities in renewable energy, nuclear power, battery storage, grid infrastructure, and distributed energy systems. In the future, the winners of the AI boom may not only be the companies producing the best chips. They may also be the companies controlling electricity, cooling systems, networking capacity, and available data-center land. The Main Risks The AI infrastructure thesis is strong, but investors should not ignore the risks. The biggest risks include: Excessive debt among data-center companies Slower AI monetization Overbuilding of infrastructure Falling GPU rental prices Regulatory restrictions Power shortages Higher interest rates Rapid technological changes Some companies may benefit from the AI boom without generating attractive returns for shareholders. Revenue growth alone is not enough. Investors must also study margins, free cash flow, debt, customer concentration, and capital intensity. Final Thoughts The AI infrastructure boom appears to be much larger than a normal technology upgrade cycle. Nvidia, hyperscalers, neo-clouds, chip manufacturers, networking companies, and energy providers are all participating in the same multi-year buildout. The biggest opportunity may not come from predicting the next popular AI application. It may come from identifying the companies providing the computing power, electricity, chips, networking, and data centers that every AI company needs. The AI boom is not only a software story. It is an infrastructure story. Thank you for reading, and I hope you have an amazing weekend. read more
In the early days of smartphones, people said Apple $AAPL was overpriced. “It’s just a phone.” What they missed wasn’t the product. It was the platform. The smartphone became the center of modern life, and $AAPL became one of the greatest wealth creators in history. Today, I hear similar arguments about semiconductors, memory, and AI infrastructure. “They’re too expensive.” “It’s all hype.” Maybe some companies are overpriced. That’s what markets do. But if AI becomes as fundamental as the smartphone, the internet, or electricity, today’s leading chip and memory companies won’t just be selling hardware. They’ll be building the infrastructure that powers nearly every industry. The biggest investing mistakes often aren’t buying great businesses at what seem like expensive prices. They’re dismissing transformational technologies because they feel expensive in the moment. Valuation matters. But so does recognizing when the world is changing. The future rarely looks cheap while it’s being built. read more
$CRWV revenue growth is getting hard to ignore. Quarterly revenue has gone from roughly $100 million in late 2023 to more than $2 billion today. Estimates now have CoreWeave approaching $5 billion in quarterly revenue by early 2027. The debt and spending risks are real, but so is the demand. At what price does $CRWV become too cheap to ignore?
Wall Street liked $AMZN earnings: JPMorgan raised its price target from $330 to $365 Maxim raised its price target from $315 to $350 Telsey Advisory raised its price target from $315 to $335 Monness raised its price target from $315 to $330 RBC Capital raised its price target from $320 to $330 Deutsche Bank raised its price target from $315 to $325 AWS growth reaccelerating to 37% completely changed the conversation around Amazon’s AI spending.read more
$LUNR is down over 70% from its ATH just 2 months ago on the dot... After acquiring Lanteris Space Systems, a major satellite manufacturer, on Jan 13 of this year, the stock price was trading around $17.50 This acquisition massively increases the TAM for Intuitive Machines, yet the stock price has now given back ALL of its gains PLUS its down ~30% from the day it acquired Lanteris - $1.1B backlog - 1st qtr of Adj. EBITDA positive (+$2.7M) -Diversified revenue mix (35% com. 38% civil, 27% nat. security) I'm extremely interested in adding more to my position in $LUNR, but I'm simply waiting for the technicals to give me confirmationread more
🚨 Breaking: Tesla has expanded its fully unsupervised Robotaxi service to Orlando, Tampa, and Miami! Just 18 days after launching in Miami, the fleet is now rolling driverless in three major Florida cities. Model Ys operating without safety monitors — this is real autonomy scaling fast.  Tremendous progress toward a future where robotaxis transform transportation. Florida is quickly becoming a Robotaxi powerhouse. What do you think — ready to hop in?
I've been seeing a lot of people discussing and investing into $NOW recently due to its large pullback. That being said, I've seen a lot of people screaming about it being on sale or undervalued without any support to their claims. Has the market been looking good rmthese past few days for the name? Yes, just like most other Saas names. The real question in my mind is if this is a prudent investment or just the next hype/fomo company on blossom... Currently priced at over 60pe implies that just to earn a 10% rate of return annualized the business would have to grow earnings at 30% each year for the next decade. Is that reasonable? I know next to nothing about this company, I'm just doing very surface level analysis. I very well may be wrong, and if I am please feel free to drop an explanation. Remember, price movement is one thing, valuation is another. read more
🚀 Me and @anthony.invests are live with Ken from Global X to talk Space stocks! (well more Anthony talking space stocks and me sharing some interesting Blossom trading data 📊) Tune in here - https://www.youtube.com/watch?v=nkNkEU4Jmrs
Here are my $ZETA Q2 GAAP EPS estimates. - Adj. EPS: $0.23 - GAAP EPS: $0.04-0.05 - GAAP Net Income: $10M to $13M Total Adj. EBITDA: $95.3M (10% Beat) That also puts Adj. EPS projected by the Street ($0.20) at roughly a 15% beat. I'm forecasting Q2 SBC dilution in line with Q1, despite Q1 including one-time Marigold related dilution that is NOT expected to recur... The stock has been turbulent, so I am expecting management to have taken advantage of buy-back programs current active - outstanding shares should be flat around 239M. I'm being overly cautious here. Additionally, this would put FY26 GAAP EPS around $(0.01). Which means, H2 is heavily sandbagged, and the significant beat of the $0.04 EPS target is highly-probable. I am still projecting a minimum FY GAAP EPS of $0.06. Forgot to mention, their average Adj. EBITDA beat is ~10.8%. Q2 is set-up with plenty of tailwinds. I'm expecting an out performance of my numbers below. $ZETAread more
I just don’t think people realize how good MDA is compared to the rest. The “Canadian discount” is real. If MDA was an American company it would be minimum 70% to 2-3X higher valuation. They’ve been in space for over 50 years, the talent they have is real. 100s of satellites, the backlog, and it’s only going to grow more each year as they will absorb the gaps they are missing. They can now create every sort of satellite with acquiring Blue Canyon. Leave your thought below and tell me if I’m missing anything here.
Apple $AAPL has just become the second company in history to reach a $5 trillion market valuation. Before it, only NVIDIA $NVDA had achieved that milestone. And there's an interesting twist behind the iPhone maker's rise. It got here despite being widely seen, for much of the past few years, as one of the big tech companies lagging behind in the AI race. While Microsoft $MSFT, Google $GOOGL, and NVIDIA $NVDA competed for AI leadership, Apple $AAPL seemed to be moving at a slower pace. But there's a difference between being behind and being out of the game. With Gemini now integrated into the Apple $AAPL ecosystem and a new generation of intelligent products on the way, the market is beginning to see AI as another growth engine for the company. Apple $AAPL may not need to build the world's best artificial intelligence model. It simply needs to bring AI into the iPhone, Mac, Apple Watch, AirPods, and the services used every day by billions of people. In technology, the company that arrives first doesn't always win. Sometimes, the winner is the one that has already built the best path to bring innovation to consumers. As Steve Jobs once said, the strategy is to "wait for the next big thing."read more
The company behind the world's most advanced chipmaking machines is now paying to keep the people who build them. $ASML is giving every eligible employee a stock grant worth €20,000, roughly $22,000, issued on 1 January 2027 and vesting on 1 January 2030. Staff have to stay through the full period to keep it. Across about 45,000 employees, the total comes to close to €900 million. The Dutch company is the only producer of EUV lithography systems, the machines required to manufacture the most advanced processors, which means nearly every leading-edge Al chip depends on its hardware. It beat expectations last quarter and raised full year sales guidance to between €43 billion and €45 billion. Engineers with EUV experience are among the scarcest specialists in technology, and Samsung, SK Hynix $SKHY and TSMC $TSM have introduced similar retention programs as Al demand pushed chip industry earnings to record levels.read more
Nvidia $NVDA, Apple $AAPL, Alphabet $GOOGL, Microsoft $MSFT, Amazon $AMZN, TSMC $TSM, Broadcom $AVGO, Aramco, Meta $META, SpaceX $SPCX Now go pull the same list from 2016. Exxon $XOM was near the top. GE $GE was still a household giant. Nvidia $NVDA was a $30B graphics card company most investors couldn't spell. SpaceX $SPCX wasn't public. Broadcom $AVGO wasn't on the radar. Ten years from now, this chart looks different again. It always does. Here's what most people take away from an image like this: "I should own these ten." Here's the actual take away: you have no idea which of these ten survive the next decade - and neither does anyone selling you a stock pick. That's the argument for broad index exposure. Specifically why most people love the S&P 500 $VOO$SPY$IVV so much. Not because it's exciting. Because it's self-correcting. The winners get added. The losers get dropped. You don't have to be right about which is which - you just have to stay invested while the index does the sorting for you. The skyline changes. The city keeps growing.read more
