6 AI Stocks I’d Buy Before Wall Street Catches On

[00:00:00]The market is mispricing many stocks right now and I'm seeing a generational investing setup. In today's video, I'm going to share with you six stocks that are high growth stocks that I'm seeing benefiting the most from AI. No free webinars, no courses, no need to subscribe. Just listen to my research and see if it makes sense based on the facts that I present to you. One of these stocks is a renewable powered AI data center company. Oh, and also one of these stocks I personally bought with my own money. So, this is going to be a mustwatch video. I will tell you which one I invested in before the end of this video. I won't hold you hostage. There is timestamps in the details in the description if you want to just know the stock tickers and just, you know, take a look at it and just bounce off the video. Sure, good luck with that.

[00:00:43]Because some of these stocks are more risky and others are less risky. And I'm going to discuss that information. Now, I'm going to tell you which is which according to my research. I will share my threepart framework on stock sustainability as well. A lot of people are chasing hype right now, but the sustainability of a company and the support level is one of the most important factors. And I'm going to be sharing you my three-step framework for how I determine that when I look at a stock, this is an important lens into how I pick stocks and, you know, basically why I pick them. That's even more important right now. Guys, my name is Henry. I work for Goldman Sachs group one trading in New York City. And my experience is in option trading. My goal today is to give you a breakdown of AI stocks that I see changing investors lives based on, well, just a whole bunch of research, weeks and weeks of research, countless hours reading. And the truth is, even though I did all this research, are all of them going to go up? Well, no, of course not. I am not a financial adviser and I cannot predict the future. But I will be showing you step by step what my conclusions are.

[00:01:40]And for several stocks, my three-step framework, which is part of my process for selecting stocks that can do well, will be applied. So, here it is. By the way, I'm not going to, you know, hold that information from you. The three-step framework that I will be using for some of these stocks, first of all, is large cash reserves. So, how much cash, how many dollar bills do they have to work? Is there a long enough kind of roadway, right, a runway, right, for a big big plane to take off for the company to maybe, you know, weather some hard times, hire employees, operate the business when times get hard. So, that's kind of like the first step of my framework. Now the second number two is momentum. I worked for a hedge fund and in this particular role that I was working at I was pretty much a financial analyst but I was working next to a quant. A quant is someone who looks at mathematics and physics and tries to basically you know make a informed decision based off of these type of statistical data inputs. And guess what momentum was the number one factor explaining 90% of the output. Meaning the other 47 factors were 10% and the first factor momentum was 90%. So that was the most important metric of all.

[00:02:47]Now how do I measure momentum? There's many ways to do it. One of them is institutional tailwinds and other is Wall Street analyst hype. Yes, hype can influence the price. retail investor sentiment and several more factors are into momentum and I have a model for this which I have used to outperform the market significantly on a personal level and this is why my Discord community has also been so successful because I've been implementing this model for a number of years now ever since I worked that job. Now the third part of my framework is financial growth valuation and margin expansion. Basically I'm trying to understand financial strength of the company right so revenue growth is a top factor because with high revenue growth that tells you a lot about the company is it growing topline income that is very very important right now valuation is what we pay that is the next kind of part of my financial growth and third step into this kind of formula and framework is the valuation does it make sense okay and to kind of round out this third step of the framework is really how much of the revenue is coming down to the bottom line okay so I'm to show you how each of these six stocks um how some of them score and which of these stocks is my favorite, which one has the best score, and which one I personally put money into. So, let's not waste any more time. Let's get into it.

[00:03:59]The first stock is Palanteer. Palanteer builds enterprise software platforms.

[00:04:03]Palanteer's Q1 2026 revenue rose 85% year-over-year to $1.63 billion, its fastest ever growth. Palunteer stock has become one of the most polarizing names in software. The company pairs explosive growth with evaluation that brings fear to beginner investors. Yes, beginner investors are shaking. They're like, "This is way too expensive, Henry. I don't know if I feel comfortable." Well, let's apply my three-step framework and let's see. So, you will understand if Palunteer is actually something to be afraid of and it's just way overvalued or if it's a misunderstood company. So, why is Palanteer so strong right now though? What Palanteer does is Gotham, Boundary, and AIP. So Palanteer builds software that turns scattered data into really decisions. Decisions that business owners, CEOs, management can make through that data, right? So it started in the government work and later on expanded into commercial world which has been very very lucrative for Palunteer. The company sells three core products today. Each serves a very kind of different part of the market and a different type of buyer. First one is kind of Gotham and foundry. So Gotham is the government and defense platform. It helps agencies fuse intelligence and operational data into a single decisionmaking view. Foundry is the commercial equivalent. It lets businesses model their operations, supply chains, and finance inside of a connected system. Now, both products built Paler's reputation for handling complex highstakes data. They remain the foundation under the newer AI layer, AIP. Now, this is the real growth engine. AIP is the artificial intelligence platform in the current growth engine. It plugs large language models directly into companies real operational data. Can you imagine how much data companies have right now literally in one single day? Some of these big S&P 500 companies generate more data than an entire library.

[00:06:02]Someone needs to analyze that data. And AIP does exactly that. It helps businesses organize that data. Even if it's kind of silo data, even if it's hard to pretty much get to, Palanteer also has the ability to do that. That combination is what is driving the US commercial boom. AIP turns generic AI into something that takes action inside of a specific business. Palanteer has a deep product fit for missionritical workflows. Palunteer's tools aren't just analytics dashboards. They have become embedded in operational procedures, intelligence missions, supply chain ops, and fraud detection, which drives long product life cycles and high switch cost. This is very important because I've talked on this channel before. If you're subscribed, you know that I love sticky businesses. I love businesses that can generate income and grow their business even in difficult times. and high switch cost is one of the biggest sticky factors that companies can use to retain and maintain their customers and to acquire more customers and basically grow their business long term. Now, a strong government relationship and certification that Palanteer has is long-term classified contracts. They also have Fed and Department of Defense approvals and security accredations creating meaningful barriers and recurring revenue. So, Palanteer also has a lot of that going for them. Now one more thing which is super powerful and you know a lot of people don't even think about this is network effects from data and deployment. Each new deployment builds domain specific models, pipelines and templates that speed later rollouts and increase value to other clients in the same sector. That is so valuable. If you can get data and make a lot of money along the way and then that data improves your business and then you can use that data to you know give it to another customer in the same sector.

[00:07:53]man, you got the whole solution. You got the whole full stack. That's how you make a ton of money. Now, once a workflow runs through Palunteer, teams stop using spreadsheets. That is also what makes a really sticky product. They can't really switch. There is alternatives, but it's really hard to get away from Palunteer. So, switch costs are brutal. When I look at, you know, classified access and data, this is the moat. This is the moat for Palanteer. Palanteer has a longstanding securities cleared relationship with defense and intelligence agencies. Those certifications and trusted deployments aren't just given, they're earned over years. So competitors, they can't just waltz in and kind of replace them. No, no, no, no, no. Now that you understand Palanteer, let's apply my three-step framework. So the first one is large cash reserves. How much cash, how many dollar bills do they have to work with? Well, the answer is actually very clear for Palanteer. Palanteer has approximately $8 billion in cash in short-term investments on its balance sheet. The company also pairs this with absolutely like pristine. They have virtually no debt. They have approximately 212 million, which sounds like a lot, but compared to the cash that they have, it's very, very small. Okay, 8 billion cash, 200 million is debt. So that really puts their net cash, okay, at $7.8 billion. Okay, so that's kind of like their financial position. Very high liquidity, and obviously we already mentioned their revenue growth, 85% year-over-year. So that's amazing, right? Now number two is momentum.

[00:09:20]Palunteer's latest quarter showed this kind of growth rate that keeps momentum really really kind of in front and center. It is very clear 85% topline growth, 133% US commercial growth and a 71% fullear revenue outlook which is really unusually strong for you know large cap software name. Now what's also interesting is this stock is really favored by institutionals. So that's another momentum kind of side to this business. Institutional ownership is large enough to matter for price discovery guys. When there's a lot of institutions buying up the stock, it actually creates a really strong support level. Bloomberg data puts institutional ownership at around 49%. And the top 25 holders are about 40% of total shares.

[00:09:58]So, this is pretty wild, right? A whole lot of institutional ownership. Now, analyst data shows a consensus price target around $175 per share with some analysts going as high as $225 per share. My personal price target for Palanteer is $185 per share right now.

[00:10:14]And the way that I got to my price target is from support levels previously where the stock was at doing financial modeling. Honestly, it's also the third part of my framework which is margin expansion and overall valuation to me looks cheap right now. They have a roughly 37% margin. This has risen from 31.6%.

[00:10:33]That is their operating margin. That is a lot. That means every single dollar that they make 37% is margin. Now sales and marketing has become the most efficient and way more efficient than in the past as revenue has expanded faster than headcount and go to market spend.

[00:10:51]The PE ratio is around 105 which in and of itself is like wow that is a lot.

[00:10:56]Okay, but it has come down from 600 not that long ago. Literally 12 months ago Palanteer had a 600 PE ratio. Now it's 150. Do you see the dramatic drop in that? That is because EPS has risen a lot and EPS can go up way faster than revenue can go up. So in practice what actually happens is when a company becomes more profitable the EPS can you know go up significantly meaning that the price to earnings ratio will go down significantly and it can become a value stock in just a few years if they continue to grow their EPS at the rate they're growing at. My conclusion on Palunteer is competition is intensifying as every single cloud vendor races into applied AI. But Palanteer has a very strong lead, strong financial numbers, and a valuation that looks high today, but will likely be cheap in 3 to 5 years. My price target is $185 per share. I think that's probably possible within 6 months or so. Let's go into the second stock. This is a new stock. The second stock is a nuclear energy stock.

[00:11:53]AI data centers need power. They need power now. So this nuclear energy stock has more than quadrupled since the coming to the market about two years ago. So indeed at one point actually in 2025 Oaklo stock had risen more than 700% year to date. This is a new stock on my list and I'm not going to pretend to be some expert on nuclear stocks.

[00:12:16]Okay, I'm going to cut the BS right now.

[00:12:18]Uncle Henry right here is not an expert, but I have done my research and I want to share my findings on this stock. As always with any newer stock, you want to have a small position size. Its valuation has gotten absurdly high. Its market cap has pushed over $30 billion with essentially no revenue. Now, it's at a much more palatable market cap.

[00:12:39]Right now, it's at 11 billion. It was as high as over 30 billion. Right now, it's down to 11 billion. That's still a lot for a company that doesn't have any, you know, regulatory approvals to operate its reactors commercially. So, how does this make any sense at all? Henry, why are you talking about a company worth over $10 billion? Nuclear companies?

[00:12:57]Like, why? This company doesn't have any cash flow. Aren't you, Mr. Cash Flow?

[00:13:02]Well, here's what I dug up. The liquid metal fast reactor technology has been around for decades, but its business model has yet to be tried commercially.

[00:13:12]So, in a kind of like a nutshell, Okalo wants to deploy a small nuclear reactor for on-site power generation. This is really interesting, on-site power generation. So, they're going to deploy, that's kind of the key word that I'm going to use here. And it doesn't want to sell reactors to clients. It wants to set up the reactor itself and sell power under long-term agreements. This would create recurring revenue, which is something that I love, right? It doesn't have any current cash flow, but this is a massive opportunity to create recurring revenue similar to how a utility company makes money month after month. They literally just collect money every single month once you're using electricity or other utilities, right?

[00:13:57]So, the difference of course is that Oakllo wouldn't be servicing neighborhoods, but actually large customers, potentially data centers for reliable always on power. We obviously know data centers are massive money makers with even more massive demands, right? But it's unclear how much revenue Oaklow reactors could actually generate.

[00:14:18]But the company has offered some glimpses into potential economics. 2024 CEO Jacob Dwit told routers that Oaklo's 15 megawatt Aurora powerhouse could cost about 70 million with a levelized cost energy or LCO of between 80 and 130 per megawatt hour. So depending on location and use of course in simplest terms that is roughly the average price Oakl would need to make to cover the cost of construction and ongoing operation. Now take a look at Oakllo stock. Do you see where has been trading at for the last one year? I really like Oaklo right now.

[00:14:54]And to date, Oaklo has secured important partnerships with Meta, Switch, and Equinox. It has potential customer pipelines of 14 gawatt. Of course, revenue-wise, that means nothing until Oakl has an operating reactor in place.

[00:15:08]So, right now, these are just partnerships and deals that will likely turn into a lot of money, but haven't done so yet. And it could be another two years before commercial operations can actually start. Since Oaklo is such a young company and in the nasonent industry of micro reactors, it could be several years before it really finds footing. Even when it does have reactors operating, there's no telling how much it will actually cost or charge customers to generate power or whether LCOE will be competitive enough to grow this company into a profitable enterprise. In March, Oaklo announced that its Groves Isotopes test reactor, which it acquired earlier this year through the atomic alchemy acquisition, received important regulatory approval that will help the reactors reach critically by a deadline of July 4th.

[00:15:51]Now, why July 4th deadline? This is kind of where I'm going to put everything together. The data was actually chosen by the US government, not by Oaklo.

[00:15:59]According to the reports, the Department of Energy wants to reach critically for multiple test reactors in the US on the date to coincide with the nation's 250th anniversary. The Gro reactor was fasttracked by the Trump administration and put under its energy reactor pilot program, which speeds up the approval in regulatory times for nuclear systems to reach commercial licensing. So you see I am playing this really as a news event leading up to July 4th with a 1% position right now in Oaklo. This position doesn't compare to the next stock which had the largest move last month and is a much bigger position for me. The third stock on my list is Na'vas, ticker symbol NVTs. Navitas surged 61% in May. Absolutely insane. And as you guys can see on the screen here, I have covered Na'vias as a stock multiple times in April as well as March and in May as well. Navitas makes power chips, not the flashy AI chips like GPUs, but the chips that control and deliver electricity. This is a core component for enabling the growth of AI data centers. AI isn't just comput guys, it's energy. AI data centers are hitting massive power limits and efficiency is equal to profit plus scalability. That's exactly where Na'vias comes in. Their chips help reduce energy loss, increase power density, enable new data center architectures. So here's a transformation being implemented now.

[00:17:25]They use next-gen materials. So that material is gallium nitrite or GN plus silicon carbide, SIC. These are faster, smaller, and more efficient than traditional silicon. Now, it's used in AI data centers. No surprise, right? But this is truly an opportunity that I see because AI data centers right now are spending tons of money. And this is very huge demand for a company like Navitas.

[00:17:47]And that's the main reason the stock has come up 61% in May alone. It's not just AI data centers, it's also EVs, power grids, and fast chargers. AI racks need way more electricity than anyone thought. The industry is shifting towards 800 volt power systems. Na'vias is already working on this with partners like Nvidia. They have the backing of industry leaders lowering the risk for investors. I like this specifically now as a massive shift could boost the stock in the short term. Plus, high margin AI and infrastructure is going to be very vital for Navitas. Navitas isn't really just another chip company. Gen is faster. It's faster at switching, right?

[00:18:23]It has higher efficiency and SIC handles extreme voltage plus power. This is really a major solution that I see being implemented right now. Now, their products also reduce heat. This is huge because data centers give off a lot of heat. Now, they're enabling the shift from 48vt to 800 volt as AI infrastructure grows. This is a complete redesign of how data centers are actually powered. Na'vi is a company that Wall Street doesn't really expect to generate meaningful earnings until 2030. The bears are arguing that hey AI spending is in a bubble and it's going to burst and by 2030 this bubble is going to burst. Then Navitas is not really going to make that much money.

[00:18:59]While the bulls are arguing that AI infrastructure is really only in its early innings and point to really a continual rise expectation every single year that it's just going to be compound growth. And that's basically the camp that I'm in. I think that AI is really going to be compound growth and there's just going to be more and more spending as time continues. I do not believe that we are in a bubble. I really see AI benefiting everyday workers, companies, CEOs, etc. the entire economy. All right, let's move over from Navitas, which I absolutely love and I would love to talk about even more, but for the sake of time and respecting your time and really getting to the point, let's get into the fourth stock, which is Iran. Irene started as a Bitcoin mining company, but that's not really where the story is anymore. Today, it's becoming a renewable powered AI data center company. So now they own large-scale data centers powered mostly by cheap renewable energy. That's amazing, right now filling those data centers with AIG GPUs. So Nvidia chips, they rent out AI compute and essentially they're kind of like real estate and AI. Man, that's cash flow right there, right? What's even better than real estate is AI real estate right now. Okay, so AI has a massive problem though, which is not enough data centers plus not enough power and IN has kind of all those solutions. They have power connected to land. They build infrastructure and they have cooling plus grid access which is really really rare. In fact, like you know big tech companies like Microsoft is literally like they're fighting.

[00:20:22]They're like scrambling. They're they just can't find enough capacity. So IN provides the power plus data centers.

[00:20:29]Everyone thinks IN is a Bitcoin miner, but it's really transforming. It's an AI cloud company with billions in contracts. Renewable energy positioning, so lower cost power, ESG friendly narrative and more sustainable long-term. So this really matters for big clients like Microsoft. Now they also have a lot of vertical integration.

[00:20:45]Okay, this is a rare advantage. They own land similar to real estate which is strong for cash flow and on that land they have data centers. So they operate infrastructure. They also control the full stack. So if Na'vi is basically solving the efficiency side of AI and the power problem, Irene is solving the capacity side and you need both for the entire system to actually scale. That's actually why I put these backtoback because I like pairing them within my portfolio. One is inside the machine and the other is the infrastructure around it. Let's get into the fifth stock. You guys know that I've talked about this stock multiple times before and in my Discord community, I was very early on this stock when it was sub $100 per share. Some of you guys might have already heard of it and uh some of you guys might have forgot about it. But the fifth stock is Nebius. Nebus is what people call a neocloud. Basically, it is trying to provide AI cloud infrastructure to companies that need huge amounts of GPU compute but either can I get enough capacity from Microsoft, Amazon, Google or Oracle or do not want to be fully dependent. And kind of here's why this matters. If AI demand keeps growing then compute becomes like oil. Everybody needs it.

[00:21:53]Everyone fights for it and it becomes this really valuable resource maybe even war start you see what I'm saying it's very important resource so the company that can source GPUs data centers power and customers all at the same time can become extremely valuable became much more important recently because it no longer is just a story stock it now has massive customer validation this is important they actually have the proof behind all the words and in plans in the story. The big headline was Microsoft signed a multi-billion dollar AI infrastructure deal with Nebus. And then afterwards, shortly, not that long, Meta became part of the story. And then investors started to realize, wait a second here. This is some tiny cloud company hoping to win big business someday, but only they are winning big business right now. So this company is actually landing the type of customers that provide the demand. So this thing is all of a sudden it's real. And when I was covering this stock and I said in my Discord community, this could be 5% of a portfolio. No problem. Just hold this position. I think they're going to do great things. That's basically now a sub$100 stock is well here it is on the screen. Crazy right now. Look, investors right now, they know this is one of the main independent AI cloud providers in the world. That's why the price has skyrocketed so much higher. And the reason that matters is because the hyperscalers are capacity constraint.

[00:23:19]Microsoft can spend literally tens of billions of dollars on AI infrastructure and they still need more computing.

[00:23:25]Literally, the demand that is out there is just way too much. When a company as big as Microsoft has to go outside and sign deals with companies like Nebius, that tells you the bottleneck is real.

[00:23:36]Now, here is what the skeptics are, you know, saying because I want to give you kind of both sides. The business is brutally capital intensive. It's not enough to say we have demand. You actually have to build the data center.

[00:23:48]You have to get the power. You have to get the chips. You have to, you know, finance everything. You have to do it fast enough that the customer still needs it by the time the capacity comes online. That is really where the risk is for Nebius and that's where the risk is for every Neocloud company. They look amazing when demand is greater than supply. And that's pretty similar for Micron. That's similar for, you know, these chip companies as well. When there's a lot of demand and there's not enough supply, price has to go up. It only has to go one way. But if supply catches up or GPU rental prices fall or customers renegotiate, which I'm not taking that out of the equation either, or even AI infrastructure spending slows down, which I don't think that's going to happen either, but I'm just pointing out all the all the stuff for you to understand that this business could go through, you know, tougher times. High growth infrastructure is likely to win because just there's so much demand. So right now I see this as a massive opportunity, the bullcase for Nebius over the next three to 10 years that it becomes one of the few global AI infrastructure platforms outside the big four cloud companies. And what makes Nebas different is the CEO Arcadi Velo.

[00:24:58]This is not a random founder who just discovered AI in 2023. Velo was the founder of Yandex, which was basically one of the most important technology companies to ever come out of Russia. He has experience building search, maps, machine learning, cloud infrastructure and large engineering organizations. Now the background matters because Nebius is not just trying to rent GPUs. The bigger vision is build a full stack AI cloud.

[00:25:23]That means physical data centers, GPUs, cloud software, developer tools, and eventually higher margin services layered on top. This is the difference between a company that owns a bunch of chips and a company that could become a real platform. the market might be missing that part and that is what I'm still suspecting. Even though stock is up dramatically, I still think the market is mispricing this stock. But I think right now the demand is really just it's there for the next 3 to 10 years. So could Nebus realistically take the market share from big players? And the answer is yes. I I think yes. I um a caveat there, okay? It's not going to be in the same way that people think it's going to happen with these big hyperscalers. It's probably not going to take over traditional cloud from Amazon.

[00:26:08]That's just probably not going to happen. And that's good because it doesn't have to happen. The bet is that AI compute demand grows so fast the pi gets dramatically bigger and Nebius captures the overflow and specialized workloads. The hyperscalers cannot serve fast enough. Customer concentration and whether Nebas can show operating leverage as revenue scales. Following my three-step framework, this company doesn't score the best, but the momentum is super high. The momentum is a 10 out of 10 score. So, I am still holding Nebius and I still think that this is a stock that I can see being a $300 plus within the next six months. Now, my sixth stock is Microsoft. A lot of investors overlooked Microsoft.

[00:26:47]Microsoft is one of the primary beneficiaries of the AI boom, not just a participant. I want you to watch this quick 37 second clip on Dan Ies and what he said about Microsoft and then I'll kind of give you my opinion on Microsoft. Look, the last month we've seen 25 30% of the deals accelerated. I mean, you're seeing these use cases explode. I think we go into January when they report the quarter and I think as the forecast continue to move higher, look, I think the stock has a six in front of it, you know, as we go into 2026. That's really the call here. This is a table pounder in my opinion, especially on hyperscaler. Investors giving it no respect. It's almost the Rodney Dangerfield of software the way they're treating it.

[00:27:29]I love the analogies as always, Dan. The Rodney Dangerfield.

[00:27:31]>> All right, so look, Azure, Microsoft's cloud platform, is growing 35 to 40 plus%. AI workloads are driving demand faster than Microsoft can build data centers. There's a 600 billion plus backlog of contracted cloud revenue waiting to be fulfilled. But the biggest upside is co-pilot, and it's the reason AI monetization is just getting started for Microsoft. Microsoft is embedding AI into everything. So they're embedding it into office into word, excel, teams.

[00:28:00]This is all via copilot. Also look at Azure AI services or enterprise workflows. Right now adoption is still very low only a few percentage points of users. But if penetration moves towards say 10% or 15% revenue mix will shift dramatically to a much higher margin software. Now the company has already elite margins has about 47% operating margins to be exact. So that's like almost half almost 50%. That is absolutely insane for such a mega cap stock. Absolutely kind of mind-blowing.

[00:28:31]And I think that's what also makes Microsoft such a strong stock. Now they had 80 billion plus in quarterly revenue and that is scaling very nicely. Massive cash flow as well as buyback and dividends. So buyback stock is really something that's you know really good for a company. It's financial engineering because it makes it so that there's less shares outstanding which raises the demand for the existing shares that are outstanding. Every share that they remove makes your piece of the business bigger, boosting earnings per share and concentrating value in the hands of the remaining investors. So when done right, it's like a company literally betting on itself and handing you a larger slice of the upside. So there's less shares, you own a bigger percentage of the business, even though you know us everyday investors own a very very small percentage of the business, that still goes up and proportionally it still means that the shares that we have grow in value. So it's just simply supply and demand. 550 is my personal price target for Microsoft. And within my three-step framework on Microsoft, it really starting with a total cash position that they have. When I look at the cash position, it's really, really strong. 78 billion. This also includes short-term investments and equivalents. So, the 78 billion is what they pretty much have just in cash and equivalence. Let's call it that. Now, revenue growth is 18% year-over-year with Azure growing 40% year-over-year. The cloud business reached 54 a.5 billion, up 29%. forward PE ratio is 23 which is actually very low for the growth that they're experiencing. They're experiencing growth that is higher than S&P 500 yet S&P 500 is basically in the low 21 range whereas Microsoft is barely any higher than that. From these six stocks, the position I most recently opened is on Navitas. I sold put options with the goal to increase my position further.

[00:30:11]Take a look on the screen. I am selling weekly $23 put options right now. My goal is to get into Navitas. I really love this stock. stock. I want to increase my position and my target for where I want to enter the stock is $23.

[00:30:23]This is a very volatile stock, but it happens to have some of the most explosive growth. For example, in May, up 61%. This is a stock I'm very proud of and I'm very glad that my Discord community has been so successful with it. If you enjoy the style of deep analysis and you want one-on-one AI picks with option strategies, then you can join my free newsletter now and receive the top AI stocks for 2026 in general. Yeah, I'll just send that over to you in your email. You can also learn more about being part of my community where I pick stocks and entries myself and share that within my coaching community on Discord.