This $15 Stock Looks Like An Early Nvidia

This $15 Stock Looks Like An Early Nvidia

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  1. 01 BBAI NYSE COMPRAR +0,00%
    Entrada $3,27 16 ago 2026
    Atual $3,27 14 ago 2026
    Resultado +$0,00

    BBAI, which I think is greatly undervalued.

    Contexto SAS as a whole is greatly undervalued, especially if you're looking at the small cap SAS trades, like if you're talking about BBAI, which I think is greatly undervalued.

  2. 02 NOW NYSE COMPRAR +0,00%
    Entrada $124,00 16 ago 2026
    Atual $124,00 14 ago 2026
    Resultado +$0,00

    And I think there's a lot of upside left here.

    Contexto Service Now is up 49% from SAS apocalypse lows. And I think there's a lot of upside left here.

  3. 03 NVTS NASDAQ COMPRAR +0,00%
    Entrada $14,45 16 ago 2026
    Atual $14,45 14 ago 2026
    Resultado +$0,00

    which I believe once again is a great entry point.

    Contexto Last summer when we broke this down, Nvidita was trading low. It went massively on a run and now it's back down at a very cheap price, which I believe once again is a great entry point.

  4. 04 VIVO NASDAQ COMPRAR +0,00%
    Entrada $4,87 16 ago 2026
    Atual $4,87 14 ago 2026
    Resultado +$0,00

    why you may want to put it on your radar and begin your due diligence.

    Contexto And now it is time for our sponsored segment on Vivo Power, ticker symbol VIVO, on the NASDAQ. I'll break down the company and why you may want to put it on your radar and begin your due diligence.

Transcrição Completa
Folks, this $15 stock has a lot of the same setup and characteristics that Nvidia had before it went on its hyperbolic run in 2016. If you ask the average person about Nvidia, they thought it was just a company making graphics cards for video games. They completely missed that Nvidia would go on to be the absolute backbone for what would become the AI revolution. Well, right now, a very specific $15 stock that's trading at a market cap of about $3.8 billion has a very similar setup, and we got to talk about it. Not only do they look in many ways like an early Nvidia in the sense that they're helping solve the next massive bottleneck, but they're also actually partnered with Nvidia. This is a company that I believe you're going to hear about more and more over the years. And if you watch this video today, I guarantee you you're not going to regret it. And then at the end of today's video, we have our sponsored segment on Vivo Power, ticker symbol VIVO, on the NASDAQ. Vivo Power buys and develops powered land and data centers for AI compute. The company owns the site and the power access. It then leases that capacity to AI operators on longduration contracts. Today, it holds assets across Norway, Finland, and the United Arab Emirates. In June, the company brought in Porter Harris, a SpaceX veteran, to support its power and battery storage strategy at the data center sites. I'll break down the company and why you may want to put it on your radar. And as always, if you're the one taking the ultimate risk, you got to be the one doing the ultimate risk. Always do your own due diligence and all ID is presented. Okay, so markets more or less bottomed on July 29th. And since spy has bounced back some 6% and has now hit new all-time highs. Triple Q has bounced back another 10% to just under its all-time highs. And one of our highest conviction areas that we've been focusing on since Q1 of this year has been the SAS apocalypse trade in the software sector. IGV is now up just under 40% since its April lows. Very beautiful. If you go into some individual names, they're up many percentage points more. Service Now is up 49% from SAS apocalypse lows. And I think there's a lot of upside left here. Palunteer up some 54% from its lows. They had a crazy earnings. It was a very beautiful report. CRM is lagging behind, but also on the climb. And SAS as a whole is greatly undervalued, especially if you're looking at the small cap SAS trades, like if you're talking about BBAI, which I think is greatly undervalued. That said, the area of the market that we've seen some of the craziest numbers has been in the AI data center trade. Some of our top performing zip trader 25 ideas the last couple of weeks since July 29th have been Nibbius plus 87% apply digital plus 34% plus 51% DRWV plus 73% AMD plus 19% and then in terms of defense and AI drones KTOS plus 47%. But anyw who despite stocks being at all-time highs they actually aren't that expensive. How can that be Charlie charlito? Well, this earning season, we are seeing the earnings of stocks grow faster than the stocks themselves. Even though stock prices are up, you're getting more for each dollar invested. If you put that in chart form, look here, the Ford PE ratio today is pretty damn mid-range. It's nothing crazy. We are at 20.60 in terms of the S&P 500's Ford PE. And it's probably a bit lower because the full season hasn't been factored into this data yet. So, when the bears come to you and they say, "You're paying so much more for stocks today than you were at any point in history, and you should abandon your long-term strategy." Well, you should tell them to go hide in their caves. Now, that said, the short and distorted and the dirty, dirty, gloomy fund managers will go and show you this chart here of the old school ratios like the famous Schiller PE/Cape ratio, and they'll say, "Look, this guarantees it guarantees that we're in a do bubble 2.0. How can you say it's different this time? Can you just look at this chart line go up? It's so high. It's so scary. Sell all stocks now. Abandon all conviction now. Well, despite this ratio being like the number one quoted ratio right now, it's been useless for 30 years. Long-term historical average of this ratio is 17.4. And followers of this ratio will call markets overvalued if they are trading anywhere above that long-term that long run historical average. Well, today we're at 42.56, heading towards what chiller junkies will say guarantees again a near-term dot bubble 2.0 crash. Now the problem with this is very very obvious. If you had followed this ratio the last 30 years, there is only one period of time, a brief period of time where you could have bought and that was during the 2008 2009 lows. And hey, it was right. That was a good time to buy. However, so was 2010 2011 2012 13 14 15 16 17 so on and so forth. Okay, but Charlie, this ratio is now at all-time highs. Shouldn't we sell stocks now? Well, a lot of people don't understand that the overall thing that this ratio measures has changed. This ratio does not consider the massive change in interest rates. the last 20 years versus the previous decades. It does not consider how share buybacks have changed the math massively. Share buybacks weren't even legal until the early 1980s. Does not consider globalization. It does not consider the change of the economy from railroads and industrial factories to high growth tech and software industries with completely different margins. Most importantly, it doesn't even consider basic accounting changes. Write down rules changed dramatically in the early 2000s. The way that the accounting rules change means that this number is just naturally going to be higher a lot easier. For example, companies now are required by new accounting standards to book huge non-cash losses that older companies never reported. And these fake losses drag the 10-year average down and push the ratio up massively. So today, it's way easier to have a high ratio here than it has been at any point in history. The reason I say this is because a lot of people fear themselves out of positions because fund managers breach this ratio. The ones that are going and short and distorting everything. So anyways, what is my viewpoint? Well, the core philosophy of this channel is to buy good assets at good prices over time. And to do that over the long term, you're doing that year after year after year. There's lots of opportunities for short-term momentum trades, medium-term swing trades, and the like. But the foundation is that long-term buy by overtime strategy. It's not panicking because short sellers tell you to sell. It's not freaking out every single Monday, Tuesday, Wednesday, Thursday because somebody on X decided they wanted to sell everything. It's not trying to time what DRP is going to do or the Federal Reserve is going to do or what the next inflation report's going to do. It's being aware that you're not going to be able to predict the exact best price to buy. So, you're just buying overtime assets that you believe in and that are long-term compounders. And that's what I'm fired up here to bring you. And by the way, if you want to hear all of our ideas that fit this philosophy and strategy, if this is something that resonates with you, we do have Charlie's playbook linked down below. We have a 30-day guarantee. If you don't like it for any reason, you can email us and we'll give you a full refund. But I think you're going to like it a lot. Anyways, anyways, now it's time for the main entree. The main entree today has a very similar setup to an early Nvidia. a low market cap, extreme growth potential. It's completely overlooked and it's a product that solves an existential bottleneck for the AI industry and that stock is Nvidita's NVTS. Now, the biggest bottleneck today for data centers and the overall build out there is power. You know this, you've heard this a million times. We've talked about it here, you've seen it elsewhere. Next generation AI clusters running in thousands of NVIDIA GPUs demand insane amounts of electricity. Data centers are moving to what's called 800vt DC power architectures. The problem with that, well, legacy silicon chips, the stuff that we've used for the past 50 years, they're hitting a physical wall. There's a big limitation to them. They can't handle this kind of power. They are too slow. They use up to 10% of their energy as waste heat. And most importantly, they take up way too much room in the server racks. Now, to fix this, the industry is switching very rapidly to two revolutionary semiconductor materials that Nvidas specializes in. One's called gallium nitride, G-N for short, and the other is silicon carbide, SIC for short. Now, we've been talking about this since last summer and the trend has gotten only more aggressive. Last summer when we broke this down, Nvidita was trading low. It went massively on a run and now it's back down at a very cheap price, which I believe once again is a great entry point. Now, to make it simple, think of it like this. So, silicon carbide SIC is the heavy lifter here. It handles massive voltages and brute force power. SIC is what hooks the regional power grid into the data center and powers electric vehicles. It handles extreme heat like a tank. Right now, I don't care too much about electric vehicles. I care about data centers and powering data centers and having backup power for data centers. But if you understand how much power electric vehicles take, well, you understand how powerful silicon carbide can be. Now, gallium nitride, GN is basically the speed demon. You could call it a speed demon. G switches electricity on and off up to 20 times up to 20 times faster than traditional silicon with almost zero energy loss. And because it operates at ultra fast speeds, well, power components can shrink down to a fraction of their size. So instead of that 10% waste heat and all the other inefficiencies of current silicon chips, well, this one has almost zero energy loss and it's much smaller. Fixes both problems from the size component to the energy waste. Okay, but how did Nvidas get its start? Well, you have to understand there's Nvidas 1.0 and there's Nvidita 2.0. Now, in Nvidas 1.0, they were primarily selling fast charging chips for smartphones and laptops. a low margin market that hit a slump that wasn't like a massive growth potential area. However, what they learned there is now being utilized aggressively in the new AI data center buildout. Okay, but Charlie, look, if gallium nitrite is so revolutionary, why are they leading the pack instead of some traditional semiconductor giant? Well, because they use their smartphone fast chargers as a early testing ground. Which means that when all the demand ballooned for data centers, they were first in the game. Few years ago, phone brands were competing to shrink giant wall chargers into palmsized bricks. And Nvidita jumped on that opportunity and shipped hundreds of millions of GN chips into consumer devices. That allowed them three massive advantages. Number one, mass manufacturing scale. G manufacturing is very tricky, costs a lot of money to start with, a lot of years, and there's very high defect rates at first. By pumping out millions of phone charger chips, Nvidita's mastered high volume manufacturing with foundry partners very, very early on. They worked out the production kinks years before anybody else even thought about making GN chips. Number two, battle tested reliability, which is very important. If a power chip fails in an AI server, it costs millions in downtime. And because Nvidita has logged billions of field operating hours inside real world devices with virtually zero failure rates, well, big tech hyperscalers actually already trusted them to power multi-million dollar AI racks. And then you have a patent super monopoly, which perhaps is the most important part of the three. While the competitors still didn't even know what a GAN was, well, Nvidas was filing patents. And today, they hold over 250 patents covering how to integrate drive logic, control, and power feets onto a single G chip. Okay, but why exactly is now the time to be excited. What are the upcoming catalyst, Mr. Charlie Charito, who's just looking for a rally rally? Well, thank you very much for asking. Number one, the most important, the jaw-dropper, the 800 volt architecture upgrade. As you know, as we talked about, major hyperscalers and custom XPU chip makers are integrating Nvidas' 800vt power delivery boards directly into server racks. Nvidita's estimates that this is going to generate 25,000 to 35,000 in chip content for every single megawatt of data center capacity. Very, very juicy dollars. Number two, the 2027 XPU platform ramp. So production sampling is happening right now as we speak with major hyperscaler platform rollouts locked in to hit full production scale in 2027. That is a big catalyst. You imagine as the PR starts coming out for that a lot of people are going to be talking about Nvidas. Number three, Global Foundaries US manufacturing deal. So Nvidita partnered with Global Foundaries to scale US-based G chip manufacturing out of Vermont. This gives big tech a domestic geopolitical risk-free supply chain for AI power chips. Big tech is very happy. Number four, solving the power grid bottleneck. So, Nvidita isn't just inside the server rack. They are building 3,300 volt solidstate transformers that hook data centers directly into local utility power grid in a very beautiful way. All of this stuff serves as very beautiful catalysts that can cause quite aggressive rally rallutas. Now, that said, how high do I think that NVTs can go over the coming years? Let's just play out the numbers a little bit. To hit $100 per share, Nvidita needs to reach a $23 billion market cap. Roughly a 6x return from today's levels. To hit $150 per share, we're looking at $34.5 billion in market cap. A massive 9 to 10x return. Is that realistic though? Well, take a look at one of their semiconductor peers, Monolithic Power, MPWR, or Infinine. If Nvidita captures just 20 to 25% of the total GN and SIC market in AI data centers, EVs and energy grids over the next three to five years, well, annual revenue could realistically scale towards 1 to$ 1.5 billion. Specialized pure play AI semiconductor stacks often traded around 20 to 30x forward sales during hyperrowth cycles. Probably more if they see the kind of proof of concept that I believe they're going to see. And so a $1.2 $22 billion valuation at say uh we'll go mid tier on this 25x multiple that's a $30 billion valuation putting the stock right in the $130 to $150 range. This is definitely not going to happen overnight, but if this hits the 2027 production ramps, you could see $130 to $150 range within the next couple of years. I'm thinking by end of 2028, and I think by the 2030s, if you continue to execute, you're going to see much higher than that. If you're going to make the comparison to Nvidia, I would say that you're looking at something like a 2016 Nvidia. And while this stock is certainly not without its risks, I would say there's a lot to look forward to here. And this is why it is one of our Zip Trader 25 picks. It's been a stock that we believed in for a while now, and it's one that we will continue to believe in and follow up on. So let us know your favorite ideas down below. Let us know what you think about Nvidita's NVTs down below. And now it's time for our sponsored segment. And now it is time for our sponsored segment on Vivo Power, ticker symbol VIVO, on the NASDAQ. I'll break down the company and why you may want to put it on your radar and begin your due diligence. So what is Vivo Power, Mr. Charlie? Well, Vivo Power buys and develops powered land and data centers for AI compute. The company owns the site and the power access. It then leases that capacity to AI operators on longduration contracts. Today, it holds assets across Norway, Finland, and the United Arab Emirates. It runs out of London and Oslo. It has been listed on the NASDAQ since 2016, and it is a certified BC corporation. Now, what is the market gap they're trying to fill? Well, early AI buildout runs into the same wall. The chips are available now, but the power is not as we've been talking about. And grid connection cues in the United States and much of Western Europe now stretch for years. Developers can sign a lease, order servers, and still wait on an interconnect that does not arrive. The scarce asset here is actually land that already has electricity flowing to it. There's not much of that right now, at least available, and Northern Europe solves part of that. The Nordics have surplus hydroelect electric power called Ambiant Air that cuts cooling costs and stable regulation. Vivo Powers Norway site runs on 100% renewable hydro at a cost below 3.5 cents per kilowatt hour. The company describes that as among the lowest data center power costs in Europe and the world. Its finished sites are targeted at under 4 cents per kilowatt hour. Power is the largest recurring cost in an AI data center. A few cents per kilowatt hour compounds into a large operating margin difference over a 10-year lease. The second part of the market gap they're trying to fulfill is control. Governments increasingly want AI compute built inside their own borders on their own power under their own law. Vivo Power positions itself as the independent partner for that customer. Now what's the business model Charlie? Well, Vivo Power is a landlord, not a compute operator. It does not buy GPUs and it does not sell cloud services. It secures the site and the power prepares the facility and signs long-term leases with AI operators. That model produces contracted recurring revenue. management is targeting leases of 10 years and longer. Now, the Norway acquisition closed on April 21st, 2026, and it moved the company into Ibata profitability immediately. On completion, Vivo Power reported roughly $31 million in annualized revenue and $10 million in annualized Ebeta from that asset alone. Management is also stacking additional income on top of that same hardware. In April, the company enrolled 30 megawatts of the Norway site into the Statet Reserve Markets, Norway's GR Norway's grid balancing program, targeting an incremental 1.9 million of annualized Ibata with no additional capital spending and no additional operating cost. Now, what is the portfolio, Charlie? Well, the pipeline runs to about 358 megawatts across three countries. Norway is the operating asset. Moira is a 41.5 megawatt facility in an industrial precinct in the north of the country. It is fully energized today. A further 40 megawatts of permitted expansion capacity can be brought online within 18 to 24 months subject to regulatory approval which would take the site above 80 megawws. Lease process there tells you something about how the board views the asset. Vivo power ran a formal competitive bidding process in April and May. It received firm proposals it described as stronger and broader than expected. It also received unsolicited offers to buy the facility outright at a premium to what it had paid weeks earlier. The board turned those down. On June 29th, the company announced it had selected a global AI industry leader as its preferred long-term tenant chosen on commercial terms, credit quality, operational fit, and expansion optionality. Legal documentation is being finalized, and the company says it will name the tenant and the material lease terms once agre when and or if agreements are executed. Discussions have since widened to cover Vivo Power's broader pipeline across multiple jurisdictions. Now, let's talk about the risks here. This is a super small cap stock. It's in a very high capex intensive field and most of these small cap companies do ultimately end up failing andor have massive long-term dilution. These are all things you got to consider when doing your own due diligence and coming to your own conclusion. But anyways, in summary, the positives of this company is that Vivo Power has an operating asset that generates revenue and Ebata today priced on some of the cheapest renewable power in Europe. It has a preferred tenant selected for that asset and a winding conversation with that counterparty about the rest of the pipeline. It has cleared its founder debt, closed a $50 million raise, and narrowed the company down to one strategic priority. Anyways, I'll put the link to Vivo Powers investor relations page down below. Make sure to do all your own research and come to your own conclusion. Anyways, have a great rest of your day. We'll see you in the next video.

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