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Milk Road Stocks

@MilkRoadStocks

Our analysts at Milk Road find underrated gems before the market catches on. We called names like MU, CRDO, NBIS and BE over the last 3 months. Join for $1 👇

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Milk Road Stocks
Milk Road Stocks@MilkRoadStocks·
Ken Griffin revealed the only thing he actually looks for when hiring at Citadel. Not your GPA, not your pedigree nor your internship list. He wants one type of person: the athlete who excelled academically. Here's why that combination matters to him. The athlete knows what it takes to win. They've also felt what it's like to lose. That experience of pushing through both, and still showing up, is something you can't learn in a classroom. The academic side tells him something different. It tells him the person knows how to manage their time. That they have the discipline to apply their mind under pressure. That when things get hard, they'll find a way through. Griffin calls it perseverance and grit paired with high aspirations. That's the profile he's building Citadel's AI team around. Think about what that means for where the talent wars in finance and AI are headed. The people running the biggest pots of money in the world aren't just looking for quants anymore.
Milk Road AI@MilkRoadAI

This is the man who just bought Leopold's fund, Ken Griffin and this video captures exactly the mindset that let Citadel scoop up Situational Awareness's wrecked portfolio (Save this). Griffin keeps a $10 plaque behind his desk stating that if everyone is going to eat, someone has to sell, a blunt reminder that every part of running a firm, hiring, raising capital, winning clients, is fundamentally a sales process. He explains that you're always selling, whether to candidates, vendors, counterparties, or customers and if you're always selling, you're going to hear no constantly. He illustrates just how brutal that rejection can get with two stories from a single rough day in 1994, a year when Citadel was down about 4% and Griffin flew to Switzerland for a critical lunch meeting. His lunch date sat down, realized he had the wrong Griffin, mistook him for someone else entirely, and simply got up and left. Later that same day, a Swiss banker spent 45 minutes with him over a cigar in a beautiful office, only to end the meeting by essentially telling him he'd wasted his talent on the wrong career. Two rejections in one day for the founder of what became one of the most successful hedge funds in history and Griffin's takeaway was that you just have to tolerate it, since you have to become accustomed to constantly marketing your ideas and what you stand for. That mentality is exactly why Citadel could move so decisively to buy Situational Awareness's beaten down stock portfolio after Leopold's fund got hammered in the AI rout, since Griffin has spent three decades building a firm around absorbing rejection and market pain as just the cost of doing business, then capitalizing when others panic. Just like Griffin, Milk Road Pro went shopping during the chaos and bought a bunch of beaten down stocks, if you want to see exactly what we bought, you can join us using the link below for just $1.

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Milk Road Stocks@MilkRoadStocks·
The rotation from AI infrastructure to application layer stocks is already happening. Over the past month and a half while infra got crushed: $AAPL up 20%, ServiceNow $NOW up, Salesforce up, $LLY up. "Non-high-CapEx companies that are using AI that are improving their businesses." "This has not been a broad sell-off. It's been an infrastructure sell-off and a hyperscaler sell-off." But the bet is both legs go up together into year-end.
Milk Road Stocks@MilkRoadStocks

Every major market correction over the last 3 years has followed the same pattern. And we just hit it again: 1. The Nasdaq pulls back 10-15% 2. RSI touches 30 3. Then the market rips It happened during the yen carry trade unwind, the Iran war and the tariffs. "We've hit exactly like 13% pullback. The RSI, it didn't touch it, but it's very very very close." Every chart is saying the same thing right now.

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Milk Road Stocks@MilkRoadStocks·
Will $NBIS be able to replace AWS? Juliene from AWS explains why this won't be the case. Businesses moved their servers to the cloud for cost efficiency and flexibility. That's the AWS story of the last 20 years. AI is a fundamentally different demand signal. AI doesn't just change how companies manage their IT, it transforms how every part of the business operates. That's the opening for companies like Nebius. Not to replace AWS but to service the customers and workloads that the hyperscalers aren't prioritizing. AWS isn't going anywhere. But in a market that's growing faster than capacity, there is room for multiple winners competing on different dimensions. The hyperscalers chase the largest enterprise relationships. The neoclouds go after the workloads that need GPU-optimized infrastructure with faster access, lower friction and less legacy overhead. Milk Road PRO analysts holds $NBIS and other AI infrastructure stocks. Start your $1 trial and see their full portfolios. Link in bio.
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Milk Road Stocks
Milk Road Stocks@MilkRoadStocks·
The best time to make money is when you're buying from forced sellers. "Our analysts were buying like crazy over the last 2 weeks... it's hard. Your reputation's on the line, your money's on the line and everything seems to be falling apart." In the two weeks following the worst of the sell-off, $MU rallied 15%, $NVDA roughly 26% and $BE rallied roughly 26% as well. Those aren't speculative penny stocks bouncing on hype, they're three of the highest-conviction names across the memory, AI compute, and power infrastructure trades. All of them are recovering once the forced selling exhausted itself. Despite those double-digit bounces, all three stocks remain well below their all-time highs.
Milk Road Stocks@MilkRoadStocks

How stocks inside Milk Road PRO are performing today: • $BE +31% • $NBIS +31% • $CRWV +22% • $MU +16% • $AMD +15% While sentiment was full of fear over the last week, our PRO analysts kept saying the same thing: The AI thesis hasn't changed so buy the dip. While others were selling, our analysts were adding to their highest-conviction positions. Today's move is a reminder that the biggest gains often come after the periods that feel the most uncomfortable. If you were inside Milk Road PRO, you would have seen every buy in real time. Don't wait until the next winners have already run. Join Milk Road PRO for just $1 and follow every trade, every portfolio, and every investment thesis. Link below.

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Milk Road Stocks@MilkRoadStocks·
Jim Sions has one of the greatest trading records in history. He built the greatest trading machine by doing something deceptively simple: He looked at everything. Renaissance Technologies takes in terabytes of data every single day, stores it and runs it through predictive schemes until patterns emerge. If the data could quantified, it was being looked at. It covered annual reports, quarterly filings, historical price data and even volume data. The framework is built around anomalies. Any single anomaly in market data could just be noise. The edge comes from having enough data to tell the difference. An anomaly that persists across a sufficiently long time series stops being a candidate for random chance and that's where the signal lives. The only issue with this method is that anomalies fade. No edge lasts forever. The market adapts, other people find the same anomaly and it gets arbitraged away. The job is to find the next one before the current one disappears which is why the data intake never stops.
Milk Road Stocks@MilkRoadStocks

If this market pullback has you worried, watch this. Charlie Munger explains what he did when his portfolio fell 50%. Save this before you think about selling.

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Milk Road Stocks@MilkRoadStocks·
"Google's revenue went up this year because of their CapEx investment last year." The bear case on $GOOGL CapEx spending is that the earnings are artificially inflated because the costs are being spread over multiple years. But this analyst explains why the bears are wrong: The question that matters isn't how much Google is spending on CapEx. It's whether the CapEx is generating a return. Google's revenue went up this year because of their CapEx investment last year. The cash inflows are real, they're growing double digits and Google posted 80% earnings growth year over year. When a company is growing revenue 24% annually in lockstep with its infrastructure investment, the CapEx is the gorwth engine. Google also doesn't spend as much on video chips as its peers because it builds its own custom silicon internally. It can consume any excess compute capacity internally rather than leaving it idle. It has an installed base of enterprise customers already inside the Google ecosystem. And it was number three in cloud a year ago, now positioned to potentially leapfrog to number one. The stock was trading below its 200-day moving average when earnings dropped. Historically, every time that's happened with Google, it's been a buying opportunity. Our PRO analysts bought $GOOGL with a similar thesis. Start your $1 trial and see their entire rationale for buying $GOOGL alongside all the other stocks in their portfolio. Link in bio.
Milk Road Stocks@MilkRoadStocks

Google just delivered one of its best quarters ever and the stock fell more than 7% anyway (Save this). Here is what actually spooked the market: 1. Free cash flow went negative for the first time ever as a public company 2. Alphabet raised its 2026 capex guidance to as much as $205 billion The market keeps punishing the exact companies still willing to raise AI capex. Every time that happens, the valuation on the actual earnings power underneath gets cheaper because the business keeps growing while the price gets marked down. Gemini is the other half of this story. It now has 950 million monthly active users with daily active users tripling over the past year. That puts it within roughly 50 million users of one billion monthly users. Most of that usage comes from free integrations across Search, Docs and YouTube. Every one of those sessions is training data feeding Google's actual end game which are agentic features like Daily Brief and its personalized assistant Gemini Spark that are already rolling out across those same products. Agents are shaping up to be the next major interface of the internet. Owning the model matters but owning the distribution into products people already open every day matters just as much. Google has both. Our PRO team isn't reacting to the headlines, they're using them to build positions. Our PRO team's Kyle added to his Google position. He is down about 13% on that entry and treating it as a long term add, not a reason to sell. You can see every stock our analysts own, every trade they make in real time and the thesis behind each investment. Join Milk Road PRO for just $1. Link in first comment below.

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Milk Road Stocks@MilkRoadStocks·
The US government owns roughly 10% of $INTC. At the same time, Nvidia's top portfolio holding is $INTC at 52%. Our PRO analyst Melvin also bought Intel this week. This was his thesis: Right now, the overwhelming majority of the world's most advanced chips are made in Taiwan by TSMC. So, the United States needs its own advanced chip manufacturing champion on home soil. $INTC is the only American company with the existing infrastructure, talent and scale to manufacture leading-edge silicon domestically. That's the core strategic position Melvin is buying into. Intel Foundry is transforming its manufacturing division from something that primarily builds Intel's own chips into a third-party foundry that manufactures chips for the broader AI ecosystem. AWS has already signed a multiyear, multibillion-dollar collaboration that includes Intel manufacturing an AI fabric chip on its 18A process. Microsoft has committed to using Intel's advanced manufacturing for custom silicon. Intel is also building closer ties with Nvidia, Tesla and the broader Elon Musk ecosystem. This gives $INTC exposure to AI data centers, autonomous driving and the next generation of custom chips all at once. The numbers already show it. Intel reported $16.1 billion in quarterly revenue, up 25% year over year. The Data Center and AI segment grew 59% to $6.3 billion. Management pointed directly to agentic AI and rising data center CPU demand as the major drivers. Customer orders ran above Intel's available supply earlier this year. Lip-Bu Tan took over as CEO and has been running Intel like a startup ever since: - Cutting unnecessary layers - Forcing faster decisions - Improving accountability - Orienting the company around what customers actually need Intel's biggest historical problem was execution. Lip-Bu Tan is the first leader in years who appears to be fixing that directly. The risks are real and Melvin isn't pretending otherwise. Intel Foundry is still expensive, still unprofitable and still well behind TSMC when it comes to outside customer scale. The US government, AWS, Microsoft, Nvidia and Tesla all have a direct financial reason to see $INTC succeed. Melvin's making the same bet as them. Our analysts were early to $MU, $NBIS, $MRVL and $BE. Now they're building positions in the next wave of AI winners which includes $INTC. See every stock they own, every trade they make and the thesis behind each position inside Milk Road PRO. Try it for just $1. Link in the first comment below.
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Milk Road Stocks@MilkRoadStocks·
Ken Griffin started Citadel in a Harvard dorm room in 1987 with $265,000 raised from friends and family. He put a satellite dish on the roof of his building, ran a cable through an old elevator shaft, and pulled it through his window to get real-time stock quotes. In the 24 months before the 2008 financial crisis, Citadel earned $13 billion in trading profits. More than Amazon had made in its entire history at that point. Then Lehman failed. Citadel lost hundreds of millions of dollars a week. CNBC parked a van outside their office waiting to break the story of their collapse. By the end of 2008 they had lost half their capital. Here is how they survived. Every single day, they did whatever it took to buy one more day. Sold assets. Closed business lines. Let people go. Suspended redemptions. The management team personally absorbed $500 million in costs to show their investors they believed in the firm's future. One painful decision at a time. "Often the choice was between painful and more painful. But day by day, we bought ourselves a future." The lesson Griffin took from it came from Andrew Carnegie: take away my factories, my ships, my money, strip me of everything. Leave me my people. In two or three years I will have it all again.
Milk Road Stocks@MilkRoadStocks

Ken Griffin revealed the only thing he actually looks for when hiring at Citadel. Not your GPA, not your pedigree nor your internship list. He wants one type of person: the athlete who excelled academically. Here's why that combination matters to him. The athlete knows what it takes to win. They've also felt what it's like to lose. That experience of pushing through both, and still showing up, is something you can't learn in a classroom. The academic side tells him something different. It tells him the person knows how to manage their time. That they have the discipline to apply their mind under pressure. That when things get hard, they'll find a way through. Griffin calls it perseverance and grit paired with high aspirations. That's the profile he's building Citadel's AI team around. Think about what that means for where the talent wars in finance and AI are headed. The people running the biggest pots of money in the world aren't just looking for quants anymore.

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Kyle Reidhead | Milk Road
Kyle Reidhead | Milk Road@KyleReidhead·
The biggest moat in AI is compute and the hyperscalers are acquiring it FAST Amazon, Microsoft, Google and Meta just spent $165 billion on capex in a SINGLE quarter The market isn't loving the capex, but I think the market is wrong (Save this) Cloud growth is ACCELERATING, not slowing. This earnings season: AWS grew 37% (its fastest growth in 18 quarters), Azure grew 43%, Google Cloud grew 82%. The biggest cloud businesses on earth are speeding up at scale (wild) Second, the demand is already contracted. Add up the cloud backlogs: Microsoft $678B, Google Cloud $514B, AWS $496B. That's almost $1.7 TRILLION of compute customers have signed for but haven't consumed yet Third, it's a flywheel. Accelerating cloud revenue funds more compute, more compute becomes more sellable capacity, and that capacity is getting pre-sold before the data centers are even built But here's the part I think most people miss: Compute is a heads-I-win asset In the near term, if they don't have a use for a GPU, they rent it out. That's literally the cloud business model. And as token prices keep falling, every unit of compute gets more productive, so they'll find more and more ROI using it themselves (agents, ads, better models, robotics, whatever comes next) So the spend isn't the risk, not having enough compute is the risk I'm seeing people on X call this a capex bubble, but a bubble is when you build supply for demand that never shows up. The demand already showed up. It's sitting in a $1.7 trillion backlog and growing My take: the hyperscalers are building the deepest moat in tech history and these companies will be significantly bigger in 5 years than they are today, as long as the cost of intelligence keeps falling (and it will) If you're investing in AI, this is the theme to get right. Myself and the 4 other analysts at Milk Road PRO share our real-time portfolios and research so you can see exactly how we're positioned for it. It's just $1 to try it out (literally no risk). Link in bio to join Good luck out there!
Kyle Reidhead | Milk Road tweet media
Kyle Reidhead | Milk Road@KyleReidhead

This is the most important chart in the entire AI trade right now (Save this) The 3 big clouds just grew a combined 35% in a single quarter, at a $500B/year scale AI is re-accelerating the biggest businesses on earth Cloud was supposed to be a mature business by 2022, then AI showed up and now there's almost a $1T backlog for it In the last week all 3 companies shared their Q2 earnings: AWS: $42.2B last quarter, up 37%, its fastest growth in 18 quarters Google Cloud: $24.8B, up 82% from a year ago Microsoft Cloud: $59.3B, with Azure accelerating to 43% Combined that's $126B of cloud revenue in 90 days And here's why this matters for the whole infra trade Cloud revenue is what pays for the capex. Amazon didn't just beat, they RAISED 2026 capex to $220B. Microsoft guided to $220B next year. When the revenue accelerates, the buildout accelerates (chips, memory, power, networking, all of it) Jassy said the quiet part on the call: AWS will "very possibly be a trillion-dollar annual revenue business for us in time" AWS today runs at $169B/year. He's telling you he sees 6x from here And the next wave hasn't even hit yet: agents Everything in this chart happened before mass agent adoption. Agents don't check their phone and log off, they run in the cloud 24/7 Even Apple joined in last night. Cook confirmed they'll sell iCloud+ upgrades for heavy Siri AI users. That's 1.5 billion paid subscriptions about to buy AI compute like a utility. I realize it feels boring to buy the biggest companies in the world, but they are growing faster than alot of medium cap companies. So the risk/reward is incredible, especially once the market starts rewarding this capex. That said, the other way to play this is of course investing in the infrastructure that these companies need to fulfill that backlog. The anlaysts at Milk Road PRO have been investing in AI infra all year and have been early to many of these trades ($MU, $NBIS, $BE and more). You can track their real-time portfolios and market analysis right now for just $1 (it's a trial to see if you like it) Check out my link in bio to join, this will be the best ROI you have all year! Good luck out there!

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Milk Road Stocks
Milk Road Stocks@MilkRoadStocks·
Our analysts at Milk Road PRO called multiple AI stocks before their massive runs. Their recent winners were: 1. MU (217%) 2. SK Square (202%) 3. CRDO is up (191%) Don’t miss the next call, come join us for just a $1: link.milkroad.com/3hw8m0
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Milk Road Stocks@MilkRoadStocks·
Ken Griffin asked a Harvard recruit what he would do if he made $10 million. The answer: quit and climb the highest peaks around the world. After this response, he strongly urged him not to take the job. He didn't want someone at 22 years old who already had a number in their head, a point at which they'd cash out and walk away. That mindset was fundamentally incompatible with what he was building. What he wanted to hear instead was how the person planned to climb the next mountain at Citadel. The $10 million is the evidence that you were very successful at something, which means you've earned the right to take on more responsibility and have a bigger impact. The people who build enduring things aren't running toward a finish line. They're running because the running itself is what they want to do and every milestone just opens up a larger set of problems worth solving.
Milk Road Stocks@MilkRoadStocks

Ken Griffin revealed the only thing he actually looks for when hiring at Citadel. Not your GPA, not your pedigree nor your internship list. He wants one type of person: the athlete who excelled academically. Here's why that combination matters to him. The athlete knows what it takes to win. They've also felt what it's like to lose. That experience of pushing through both, and still showing up, is something you can't learn in a classroom. The academic side tells him something different. It tells him the person knows how to manage their time. That they have the discipline to apply their mind under pressure. That when things get hard, they'll find a way through. Griffin calls it perseverance and grit paired with high aspirations. That's the profile he's building Citadel's AI team around. Think about what that means for where the talent wars in finance and AI are headed. The people running the biggest pots of money in the world aren't just looking for quants anymore.

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Milk Road Stocks@MilkRoadStocks·
Our analysts at Milk Road PRO called multiple AI stocks before their massive runs. Their recent winners were: 1. MU (217%) 2. SK Square (202%) 3. CRDO is up (191%) Don’t miss the next call, come join us for just a $1: link.milkroad.com/3hw8m0
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Milk Road Stocks@MilkRoadStocks·
Leopold Aschenbrenner has approached existing investors for fresh capital after the ongoing selloff. "We call out opportunities that seem like a particularly good time to add funds if you have been waiting for one." Here's what the fund was holding when the drawdown hit. His long book leans on the physical layer of AI rather than the software layer: chips, power, and data centers. $BE is reportedly his single largest position with $NBIS and $AMD also named among his holdings alongside $CRWV, $SNDK and $ORCL. Two of those names are not new information to our team. Our PRO analysts bought $BE and $NBIS as core positions way back in February. Aschenbrenner is now trying to raise fresh money to buy more of: - AI infrastructure stocks - Physical bottlenecks (power, memory, and compute) Our PRO analysts are tracking this very closely and are making trades around this thesis. If you want complete access to their portfolios, come join us for $1. Link in the first comment below.
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Milk Road Stocks@MilkRoadStocks·
Martin's $UBER price target is $160. When he sees Uber trading in the sixties, he's buying. View his entire portfolio for $1: link.milkroad.com/3hw8m0
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Milk Road Stocks@MilkRoadStocks·
$UBER will reach $160 very soon (Save this). Our PRO analyst @m0xt_ has buy positions ready for every time it trades in the sixties. Bill Ackman also happens to think that $UBER is a cheap company. The bear case on Uber is straightforward: Elon builds a fleet of autonomous $TSLA taxis and Uber gets disrupted out of existence. Ackman's counter is that consumers don't think that way. When someone needs a ride, they open a platform that shows them the lowest cost option getting them from point A to point B in the shortest time. That platform is Uber. The autonomous vehicle underneath it might eventually be a Tesla but the aggregation layer is where Uber's value lives. This value doesn't go away because cars become driverless. If anything, it gets more valuable as more vehicle types compete on the platform. He compares $UBER to $AMZN. His framework for finding investments is built around a certain idea: Find a great dominant business where the probability of meaningful competition is extremely low. The AI model space (ChatGPT, Claude, Grok etc.) explicitly fails that test in his view which is why he'd rather own the platform layer than bet on the next frontier lab. Milk Road PRO analyst Martin also remains bullish on $UBER. Start your $1 trial and see what else he holds alongside Uber in his portfolio. Link in bio.
m0xt@m0xt_

$UBER just added another wave of grocery chains to its app this week Its own management calls grocery and retail a trillion dollar opportunity that Wall Street is pricing almost none of The market has decided Uber is a robotaxi stock (at risk) So when the Financial Times said Waymo wants out of the deal, everyone panicked (and ignored the business quietly compounding underneath) The US online grocery market alone is around $360 billion this year and growing fast Online grocery just hit 19% of all US grocery spending, up 430 basis points in a single year (that's a behavior shift) Those grocery stores are turning into real momentum Delivery bookings hit $26 billion last quarter, up 23% constant currency, and grocery and retail led the way And get this, 75% of Uber's own riders have never once bought groceries on the app (that's the runway, sitting inside 50 million Uber One members growing 50% a year) You can argue that this is a low-margin business. That's right. But every one of those grocery baskets feeds an ad business that just crossed a $2 billion run rate, up over 50% in a year It needs no drivers, no cars, no couriers, so it falls almost straight to profit Management literally said the ad opportunity is now "much larger" than they first thought It's the exact playbook Amazon ran Amazon's ads are a $68 billion machine at 70%+ margins that quietly subsidize its entire retail business Uber is sitting at $2 billion on the same curve (just years earlier), and every new grocery store makes that engine bigger Sell the groceries, print money on the ads You barely see anyone talking about that part of their business, as more discussions are just around AVs This is an emerging revenue line that gets overlooked today. But Uber is turning its platform into a cash machine with multiple streams Get on board before this becomes a consensus trade Follow @m0xt_ for more insights. $1 Milk Road PRO and track my real time portfolio (link in bio)

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