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A quick note before we dive in today…

Our offices will be closed tomorrow in honor of Independence Day. If you need assistance from our Customer Service team, they’ll be happy to help when our offices reopen on Monday.

We hope you have a wonderful July 4^th with friends and family!

Whereas economists had expected a 110,000 increase for June, the number came in at 147,000. This soothed investors who were on edge after yesterday’s ADP private payrolls report hinted at growing weakness in the labor market.

The unemployment rate ticked lower from 4.3% to 4.1%. While this appears positive, it’s primarily due to a drop in the number of people working or looking for jobs. The labor force participation rate fell to 62.3% – the lowest level since 2022.

The report came out before the opening bell. At first, stock futures popped as traders applauded the economic strength. Minutes later, the gains pulled back upon recognition of what that labor market strength means…

No interest rate cuts from the Fed in July – possibly even September.

To illustrate, let’s go to the CME Group’s FedWatch Tool. This shows us the probabilities that traders are putting on various fed funds target rates at different dates in the future.

Between yesterday and today, traders have ramped up their bets that the Fed will hold rates steady at the July FOMC meeting in a few weeks. Yesterday, those odds came in at 76.2%. As I write Thursday, they’ve popped to 95.3%.

The more interesting change comes from expectations for September. Yesterday, traders were all but certain the Fed would cut in September, with odds at 93.7%. Today, they’ve fallen to 73.3%.

The good news is that stocks shook off their grumpiness, refocusing on the bullish implications of this morning’s report – namely, we have a strong economy capable of powering earnings, growth, and higher stock prices. This is driving the market to fresh all-time highs as I write.

Bottom line: Let’s enjoy the rally as we adjust to an extended period of “wait and see” from the Fed.

But that’s just the start.

You also ask it to clean up the kitchen, move your clothes from the washer to the dryer, then bring you a bottled water in a few minutes when you’re on your rowing machine.

This is a reality that’s coming.

Today, most people still picture humanoid robots as sci-fi dreams or clunky prototypes. But in labs and private factories across the world, these machines are already walking, learning, and lifting.

Tesla’s Optimus is folding laundry… Figure’s robot is stocking shelves… Sanctuary’s AI-powered humanoid is operating tools and handling logistics.

Oh, and a team of Chinese humanoids just played a soccer game.

Here’s our technology expert, Luke Lango, from his Innovation Investor Daily Notes:

[Last] weekend, humanoid robots played soccer in China. Seriously.

Two full teams, two 10-minute halves, all robots, with a final score of 5-3.

Of course, they looked more like tipsy toddlers than Messi and Mbappé; but it was still an impressive demo of robotic balance, agility, and real-time decision-making.

Once these robots can perform basic, repetitive tasks as well as a human – and then scale – that’s a tipping point.

They’re starting right now in warehouses and factories, transforming labor economics. But the next stop is your home. Cooking. Cleaning. Assisting the elderly. Helping raise children.

We’ll soon look back and wonder how we ever managed without them, much like we do today with smartphones.

Let’s return to Luke:

Still skeptical?

Look at Tesla’s (TSLA) Optimus, and let’s talk numbers:

• Tesla has already begun deploying Optimus internally.
• Elon Musk has said Tesla expects to have “thousands” of Optimus robots working in its factories by the end of 2025, and later mentioned a target of 5,000 units, with parts capacity reaching 10,000- to 12,000 robots.
• Production could scale quite quickly after that, so long as the company doesn’t encounter too many headwinds with sourcing necessary materials.
• As such, Tesla’s market cap, fueled by Optimus, could rise from $1 trillion today to $25 trillion by 2030. Now, that may be partly wishful thinking – but it is also Musk’s roadmap, and Wall Street is starting to take notice.

Investing directly in Tesla is one option. But market historians know that the broader humanoid ecosystem could provide even more lucrative opportunities. 

To illustrate, let’s recall Apple and its revolutionary iPhone.

Yes, Apple’s stock has exploded since 2007, the year the iPhone debuted – it’s up about 8,000%.

But over the same period, one of Apple’s components suppliers – Broadcom – has destroyed that performance. See for yourself…

Below, we look at Apple and Broadcom since the start of 2007.

If you’re having trouble seeing the chart, AVGO’s stock has returned more than 20,000% compared to Apple’s return of almost 8,000%.

This is what’s possible when smaller components companies become critical parts of the supply chain for a groundbreaking technology product.

Back to Luke:

Every revolution has its ecosystem.

Just as the iPhone created fortunes for component suppliers like Skyworks (SWKS) and Cirrus Logic (CRUS), Optimus will likely mint new industrial titans as demand for chipmakers, sensor suppliers, actuator specialists, and materials innovators takes off.

These components makers will be supplying the eyes, brains, muscles, and bones of the robot revolution. And they could see 10X, 20X, even 50X growth as a result…

For those with the foresight to act now, the potential rewards could be enormous.

Luke recently put together a free research video on some of the small suppliers on his radar today, which you can check out here.

We’ll continue bringing you more ideas in the days to come. But this “picks and shovels” approach is going to be high on our list.

After all, we don’t know which tech giant will release the humanoid that becomes the “go to” winner for consumers – but all the humanoids battling for that title will require similar critical components.

More on this to come.

Yesterday, Microsoft announced fresh job cuts affecting roughly 9,000 employees – about 4% of its workforce.

The layoffs span several divisions, including its Gaming unit, which recently absorbed Activision Blizzard.

In a memo to employees, Microsoft Gaming CEO Phil Spencer explained:

To position Gaming for enduring success and allow us to focus on strategic growth areas, we will end or decrease work in certain areas of the business and follow Microsoft’s lead in removing layers of management to increase agility and effectiveness.

“Removing layers of management.”

What’s really happening is that Microsoft is retooling its workforce for an AI-driven future.

The company is trying to get leaner, faster, and increasingly automated. I should point out that this is the third round of Microsoft layoffs this year.

Here’s the AP News:

The company has repeatedly characterized its recent layoffs as part of a push to trim management layers, but the May focus on software engineering jobs has fueled worries about how the company’s own AI code-writing products could reduce the number of people need for programming jobs.

Microsoft CEO Satya Nadella said earlier this year that “maybe 20, 30% of the code” for some of Microsoft’s coding projects “are probably all written by software.”

In our Tuesday Digest, I wrote:

As AI begins to replace not just factory and warehouse workers but customer support reps, paralegals, software engineers, and even parts of middle management, that painful economic squeeze will move up the income ladder.

And the higher it goes, the closer we get to an economic earthquake.

Things are rumbling.

Over the last two weeks, we’ve featured a series profiling different ways of trading.

We believe trading is an increasingly indispensable tool for every investor’s toolkit – especially given this year’s enormous volatility that has left buy-and-hold investors with ho-hum returns so far.

Yesterday, we looked at how veteran trader Jonathan Rose trades divergences. Here he is with a brief recap:

You’re looking for moments when stocks that usually move in line suddenly diverge. Then you place trades that profit when they come back in line again.

I don’t make binary bets on whether a stock will go up or down like most rookie traders do.

Instead, I look for relationships between stocks that usually move together – but occasionally break apart. Then I bet on those relationships coming back into line.

Today, let’s look at how Jonathan used this approach to make 100% back during the Liberation Day panic.

Usually, their stock markets move in line with one another. But given Mexico’s role in car manufacturing, it was selling off due to fears of President Trump’s prospective 25% auto tariff.

With this background, here’s Jonathan:

The iShares MSCI Mexico ETF (EWW) and the iShares MSCI Brazil ETF (EWZ) began to diverge – with Mexico suddenly looking cheap relative to Brazil.

Take a look…

That trade was simple: Place a bullish trade on the Mexican ETF and a bearish trade on the Brazil ETF.

The result – a 100% gain in just over two weeks.

Digging into the details, Jonathan took two positions…

He bought a call on EWW (Mexico) and a put on EWZ (Brazil). Both expired about six weeks from his buy date.

Now, just two days later, EWZ had already sold off sharply, so Jonathan’s put was up big. He closed it out for a 117% gain.

EWW sold off too, but Jonathan rode through the volatility, and days later, it was climbing. Jonathan recommended his subscribers sell less than three weeks after opening this leg of the trade for an 84% gain.

Together, the average return was 100%.

As we just covered, Jonathan’s trade had two legs with different exit dates. This illustrates how this approach can require more hands-on attention – it’s not a simple “set it and forget it” strategy.

But for more active traders who prefer more action, that’s where the fun begins. This style opens the door to all kinds of tactical opportunities – especially when it comes to adapting to the market’s twists and turns. There’s a reason Jonathan’s go-to phrase is: “Remember, the creative trader wins.”

Bottom line: With Jonathan’s divergence strategy, creativity and agility are a fun, and essential, part of the process.

Here he is with some quick details:

I think it should be on every trader’s radar right now.

It’s the biggest divergence opportunity I’ve spotted in years – a setup that could be one of the most profitable options trades of the 2020s.

You can get more on this opportunity, as well as more from Jonathan about divergence trading, right here.

Have a good evening,

Jeff Remsburg

The post A Strong Jobs Report Feeds the Bull appeared first on InvestorPlace.

But before you fire up the grill or head out to catch the fireworks, it’s worth taking a moment to check in on your portfolio.

You see, we’ve officially reached the halfway point of 2025. And that makes now a perfect time to reassess what’s working… and what isn’t.

A lot has changed since the year began.

The threat of tariffs dominated the headlines for much of the spring. But those fears calmed down as it became clear that the tariffs were a tool for negotiating more fair trading relationships.  

Inflation has cooled so far this year, but interest rates remain elevated. As I’ve written previously, the Federal Reserve continues to fight an inflation “bogeyman” that has yet to materialize.

AI companies showed some signs of weakness at the beginning of the year, as headlines around the Chinese AI startup, DeepSeek, rattled markets and sent Big Tech AI players sharply lower.  But now, those fears have dissipated and AI is dominating the headlines once again.

Meanwhile, while other corners of the market are starting to show quiet signs of strength. And of course, new policy shifts out of Washington are creating fresh opportunities for investors (more on that in a moment).

That’s why I like to use this time of year for a little portfolio cleanup.

Every investor is different… and so I strongly encourage you to evaluate your own situation before making any major decision. But generally speaking, you should ask yourself three key questions before making any major buy or sell in your portfolio:

• What is your risk tolerance…
• What are your financial goals…
• And how long do you have to achieve them?

If you’ve addressed these questions, you’re off to a great start. And in the rest of today’s Market 360, I want to share 10 stocks my system says you should consider parting ways with now. These aren’t the kind of names you want to hold onto in a changing market environment. Weak fundamentals, deteriorating momentum and poor institutional support… it’s all there in the data.

Let’s take a look…

The Data Says It’s Time to Let These Go

My Stock Grader system (subscription required) runs the numbers on thousands of companies scanning for earnings growth, cash flow, analyst earnings revisions, institutional buying pressure and more. And while it’s currently flagging some very compelling buy opportunities (which I’ll be talking more about soon… especially with one major development on the horizon), it’s also flagging plenty of sells.

Some of these may look familiar to you. They may have even been solid performers in the past. But based on the data I’m seeing now, the risk of holding these stocks outweighs the potential reward – especially as we head into the back half of the year.

I encourage you to give this list of stocks a skim. Each of them has a D-rating, meaning it is a “Sell.” So, feel free to adjust your portfolio accordingly…

superior stocks with growing sales and earnings. And if you’re not sure where to find these stocks, then consider my Growth Investor service.

My Growth Investor stocks are backed by 22.5% average annual sales growth and 83.9% average annual earnings growth. Not to mention that the average Growth Investor stock has also had its earnings estimates revised 6.5% higher in the past three months, so the analyst community remains very positive on our stocks.

I even just recommended two stocks last Friday – both of which are perfectly positioned to benefit in the current market environment.

Stay Tuned for My Next Research Project

Now, I want to also note something important…

While my Stock Grader system is flagging weak spots in the market, it’s also picking up a wave of new buy signals – many of them tied to a very specific and fast-developing situation out of Washington.

You may have heard whispers some of the moves made by President Trump recently that have to do with artificial intelligence. But what most investors don’t realize is that he has signed an executive order, tied to a critical July 22 deadline, that could mark a major turning point in the market…

Now, what’s really interesting about this is that a certain group of overlooked stocks is poised to benefit the most.

These aren’t your typical tech names. In fact, most investors have no idea how essential these companies are to the future of AI.

But I believe that’s about to change, and fast.

So, while we’ll be taking Friday off here in Market 360, I’ll be back in touch on Sunday with more information about what’s unfolding and how you can prepare.

You won’t want to miss this, so stay tuned.

Sincerely,

�������°�

Editor, Market 360

The post 10 Stocks to Sell Before the Second Half of the Year appeared first on InvestorPlace.

Tom Yeung here with today’s Smart Money. 

It was like trying to squeeze blood out of a stone.

Yesterday, I stood up in front of our seven-person Historic District Commission board to get permission to add solar panels on our historic house, built in 1830. 

I didn’t want to do this. The historic district has long denied permits for some of the smallest changes; one of our old neighbors had to tear out a window because it “didn’t look authentic” enough.

So, I thought solar would be a stretch.

Still, I forced myself to stand up in front of a town-wide HOA because my home state of Massachusetts has a big problem… 

Electricity prices are out of control. 

Since 2020, average residential power prices in the state have risen 34% to $30.65 per kilowatt hour, sending our at-the-meter price to $35. Four-figure electricity bills are common in our area. 

I’m sure you also have stories of eyewatering utility bills. Over the same period, the national average has risen by one-third to $17.45/kwh, pushing housing affordability out of reach for many Americans.

And the problem goes beyond residential properties as well. Some data centers are being forced to wait months for electricity hookups, and industries like primary aluminum smelting are avoiding the U.S. (despite tariffs) because power prices are simply too high. 

One reason is supply. The other reason is demand.

So, in today’s Smart Money, I’d like to explain how these forces are creating both an electricity crisis and an investment opportunity in nuclear energy.

Let’s jump in…

When Supply Meets Demand

Understanding the U.S.’s electricity problem requires looking at both sides of the equation.

Supply. Since the early 2000s, heavy manufacturing began shifting abroad, resulting in years of stagnant electricity production in the U.S. Utilities saw little need to invest in new power plants, and we’re only now seeing the delayed effects. New power plants typically last anywhere from 30 to 80 years. 

One area where America isn’t keeping up

Demand. Since 2021, artificial intelligence has begun to take a slice of the electricity market that no one had planned for.

Analysts expect that AI data centers could consume as much as 9% of America’s power by 2030, and the largest regional grid operator serving 65 million people in the mid-Atlantic could face a capacity shortage as early as 2026. 

Together, these twin pressures are turning a slow (coal) burning issue into a five-alarm fire. Rolling blackouts could become the norm in a country unused to them, prompting chaos… as well as enormous demand for batteries and backup diesel generators. Regulators and their constituents alike will demand change. 

The answer to this problem is becoming increasingly clear, and it’s nuclear.

Nuclear’s Moment Has Arrived

One of the clearest ways to ride this energy shortfall is through traditional fossil fuel companies. Gas-fired power plants are relatively quick to build, making them a natural source for short-term needs.

But there’s also a long-term new-energy story. Since 2022, Eric has been bullish on the entire energy transition, calling it “trading along the energy spectrum.”

And today, the clearest overlooked winner of this transition is nuclear power.

The energy source is relatively cheap to run, generates no direct carbon emissions, and has a plentiful supply. Current mapped out mining areas in Canada, for instance, should last another century.

Public perception is also at a near record high, according to polls by Gallup. Approval rates are especially strong among Republican voters, with 74% favoring the technology. (The figure is 64% among all Americans.) 

Governments are taking note. On May 23, the Trump administration issued four executive orders that aim to speed up nuclear reactor licensing and add 300 gigawatts of new U.S. nuclear capacity by 2050.

This is an enormous ambition, but achievable given the right incentives. The share of U.S. electricity generated by nuclear power jumped from near-zero in the 1970s to 19% by 1990 after the Energy Reorganization Act of 1974 streamlined the permitting process for new reactors. The latest round of executive orders promises a similar overhaul. 

The result has been a turnaround in uranium prices and the stocks that mine them. Since March, prices of the nuclear fuel have risen 25% to $79 per pound, reversing a yearslong slump.

That’s had a bullish effect on one of Eric’s unique, nuclear plays that he recommends at Fry’s Investment Report. This stock is now up about 28% since Eric recommended it to subscribers last October.

But nuclear power isn’t the only kind of energy source that Eric has his eye on…

Let’s not forget about solar.

And the Trump administration’s desire for American energy independence has created an unexpected tailwind for green technology.

On Monday, shares of solar companies jumped after the latest version of the Senate’s tax bill added penalties for imported renewable energy equipment, which would make local products seem relatively cheaper.

Now, Eric’s solar recommendation is up 10% since Eric recommended it in February. This particular stock’s resilience and recovery reinforce our contrarian call on solar – and why we’re doubling down.

If you’re interested in all of Eric’s energy recommendations – and learning more about his Fry’s Investment Report portfolio – click here.

Until next time,

Thomas Yeung

Markets Analyst, InvestorPlace

The post America’s Power Crisis Is Creating a Nuclear Boom – Here’s How to Profit appeared first on InvestorPlace.

AI encompasses a revolution. 

But while the world is transfixed by AI-driven software and robot assistants, something potentially even bigger is quietly emerging in a place not many expected: the energy sector.

After all, this is a space that has underperformed over the past few years, posting meager gains compared to major indices like the S&P 500…

But it’s not oil, gas, or even renewables like solar that are drawing bullish energy (pun intended).

Instead, it’s stemming from a different type of breakthrough; one that could be the elusive ‘holy grail’ of power generation, redefining the global economy, reshaping geopolitics – and yes, minting a new generation of stock market millionaires.

Nuclear fusion. 

What Nuclear Fusion Is – And Why Investors Should Finally Pay Attention

Nuclear fusion is what powers our sun. 

It works by forcing tiny atoms, like hydrogen, to crash into each other and combine into a larger atom, such as helium. 

This reaction releases an enormous amount of energy in the process… No carbon emissions, long-lived radioactive waste, or risk of meltdowns involved.

But here’s what’s most exciting about it: Fusion fuel – hydrogen isotopes like deuterium and tritium – is also abundant. Deuterium is found in seawater. Tritium can be bred from lithium. So, if we master nuclear fusion, we could unlock a future of practically limitless clean energy.

Imagine a world where energy is so cheap, it’s nearly free; where electric grids are powered 24/7 with zero emissions, developing nations leapfrog fossil fuels, desalination plants solve water shortages, and energy supply is never a bottleneck for data centers, electric vehicles, or humanoid robots.

That’s the fusion promise.

And experts are well on their way to making it a reality…

A Dream Once Deferred

Of course, the concept of nuclear fusion isn’t new. Scientists have understood how it works since the 1940s, back when global powers were racing to harness atomic energy for weapons.

But for the past 80 years, it has remained an elusive ‘white whale’ – the breakthrough that’s always just over the horizon. It’s the technology that’s famously been ‘10 years away’ from reality… for more than half a century.

The science was sound, the potential off the charts. But the technical hurdles were immense.

That’s because achieving fusion on Earth requires temperatures hotter than the core of the sun – over 100 million degrees Celsius. It needs powerful magnetic containment systems, and materials must withstand cosmic-level conditions. As such, to date, most fusion experiments have consumed more energy than they’ve produced.

Progress was glacial. Fusion was confined to government labs and academic papers, and investors stayed far away… 

Until recently.

How the Nuclear Fusion Net-Energy Gain Changes Everything

In late 2022, scientists at the National Ignition Facility (NIF) in California announced a breakthrough that stunned the scientific community. For the very first time, a fusion experiment produced more energy than it consumed.

It wasn’t much – just about enough to boil a kettle. But it was historic: a proof-of-concept that fusion can work. Since then, progress has snowballed.

In May 2025, the NIF reported another leap: a fusion experiment outputting 8.6 megajoules (MJ), nearly three times the breakthrough amount, showing the capability for much higher yields. 

Now private firms and labs are gaining momentum on a global scale. The U.S. Department of Energy is funding Tokamak Energy and Marvel Fusion. Germany’s Focused Energy is planning a 1 GW retrofit of a nuclear plant. General Atomics is assisting upgrades on the U.K.’s Mega Ampere Spherical Tokamak (MAST) machine.

And startups like Commonwealth Fusion Systems, Helion, and TAE Technologies are attracting billions in funding. Commonwealth alone has raised over $2 billion, with financial backing from players like Bill Gates’ Breakthrough Energy Ventures, Khosla Ventures, Tiger Global, Temasek, and others.

In fact, Alphabet (GOOGL) just inked a deal with Commonwealth Fusion to accelerate its SPARC reactor project using AI-powered simulations and is looking to buy nuclear fusion power from Commonwealth by the early 2030s. 

Microsoft (MSFT) is doing the same. In 2023, it became the first major company to sign a power purchase agreement (PPA) for fusion energy, partnering with Helion, which is aiming to deliver commercial fusion power by 2028.

In other words, two of the world’s biggest tech companies are literally pre-buying fusion power for the 2030s.

These deals signal that tech giants see real potential in fusion as a viable energy source worth investing in today.

The Fusion-AI Flywheel: A Loop of Accelerating Innovation

But why, after 80 years, is fusion suddenly making real progress?

Artificial Intelligence.

AI isn’t just building chatbots and coding assistants. It’s becoming the co-pilot for physics. 

Fusion experiments produce vast amounts of data on plasma behavior, magnetic turbulence, confinement geometries. It used to take scientists months or years to analyze and model it all. But now AI can do it in real time.

That means faster iteration, smarter simulations, and better optimization of reactor designs. 

In short, AI is compressing the fusion learning curve.

And just as fusion could become the energy engine that powers the AI boom, AI might be the tool that makes fusion commercially viable in the first place. It’s a feedback loop; a flywheel of exponential innovation.

If nuclear fusion becomes an energy hero – and we now have strong reason to believe it will – it will be more than a mere niche tech story. 

We’re talking about an industry that could:

• Disrupt $9 trillion of global fossil fuel infrastructure
• Replace or augment renewables in the clean energy mix
• Enable explosive growth in data centers, EVs, robotics, and the space economy
• Redraw the geopolitical map by ending energy dependence

The companies that crack the fusion code – as well as the supply chain around them – could make early investors very rich.

This is your chance to get in before the mainstream catches on.

The Overlooked Tech Revolution That Could Redefine Energy – and Portfolios

Don’t get us wrong. We’re not saying that investing in AI is the wrong way to generate wealth today – far from it. This AI boom is still unfolding, and we see incredible upside potential in it for years to come.

But the smartest investors aren’t just chasing the current wave… They’re also scouting the next one.

And if you ask us, the next great tech revolution may not be digital. It may be plasma-hot, near-limitless energy that powers an entire AI-driven world.

That’s nuclear fusion. And the biggest fortunes of the 2030s may go not to the coders but to the physicists – and the investors bold enough to bet on them.

As we see it, AI and nuclear fusion are deeply connected revolutions. AI will likely be the key to making fusion a widespread reality, optimizing the physics and simulations that make clean, limitless energy possible

And in return, fusion could deliver the ultra-cheap, high-density power needed to fuel the next era of AI… especially in robotics.

Because the real AI revolution isn’t just digital. It’s physical.

And there’s one corner of the AI world that stands to benefit most: the companies building the intelligent machines poised to reshape the global labor market.

That’s where we see the next massive profit opportunity – and a little-known firm at the center of it all.

Learn more about the rise of the robots and the company that could lead it.

The post The Untold Story of Nuclear Fusion, AI, and the Future of Energy appeared first on InvestorPlace.

But veteran trader Jonathan Rose has made a career out of spotting what most people miss… powerful market divergences that can lead to fast, outsized gains.

Jonathan Rose is the lead analyst at our corporate partner Masters in Trading. After spending 25 years learning his craft on the Chicago trading floors and inside private investment firms, Jonathan now offers up live trading ideas, market commentary, and trading education each morning.

And while others panic when markets fall out of sync, Jonathan sees opportunity. That’s how, using his powerful divergence pattern, he’s turned chaos into opportunity… and helped his followers rack up gains as high as 967% – in just 52 days.

Now, he says a new divergence is forming in the market.

So, Jonathan is joining us today to share how his trading strategy works… and how you can use it to speed up your wealth building journey.

Talk about a sweet setup…

Back in April, I spotted the chance to double my subscribers’ money in a matter of weeks with one of my signature trades.

This was in the wake of President Trump’s “Liberation Day” tariff announcements.

Markets were in chaos. Volatility was spiking. And the TV news anchors and armchair analysts on social media were in full-on doomsday mode.

But I wasn’t paying attention to the headlines or to the latest rant on X. Here’s what caught my attention instead…

The tariff-war panic wasn’t just hitting random stocks. It was creating massive divergences between entire stock markets that usually move in sync.

I’ve been a professional trader for the past 27 years. I’ve seen just about every kind of market you can imagine – the good, the bad, and the truly chaotic.

And I’ve learned that when markets that usually move together suddenly break apart, you can make a lot of money betting on them coming back into line again.

That’s exactly what happened in April.

I bet on one of these divergences coming back into line again – and closed that trade 19 days later for a 100% gain.

And it’s not the only “divergence trade” that’s led to triple-digit winners. I’ve used the same strategy to close out gains of…

• 122% in 35 days
• 127% in 5 days
• 142% in 39 days
• 322% in 32 days
• 411% in 39 days
• 752% in 40 days
• 805% in 70 days
• And 967% in 52 days

Now, a new major divergence is forming. And I’m sharing all the details in a new on-camera presentation.

I hope you’ll hear what I have to say. Because it has the potential to deliver thousands of dollars in profits without you taking crazy risks with your money.

Just ask one of my followers, Dan B…

The last time this same divergence happened he took a single position and walked away with a game-changing result. As he later wrote me…

My account went from $44,325 to over $180,000 – on a single trade.

So today, I’ll show you how divergence trades work… including the recent one that netted a 100% gain.

First, let’s make sure you understand what a divergence is – and why it’s such a powerful trade signal to follow.

Forget Binary Bets – It’s All �������°� Relationships

Picture a presidential motorcade.

Lights flashing. Helmets of the motorcycle outriders gleaming in the sun. Blacked-out SUVs rolling along in sync.

Same speed, same spacing, same mission.

Everything is as you’d expect.

But then… one of the SUVs breaks formation and suddenly surges ahead.

You know that can’t last. Sooner or later, it has to fall back in line.

And sure enough, after a moment out front, the outlier SUV drifts back into formation.

That’s exactly how I see the market.

I don’t make binary bets on whether a stock will go up or down like most rookie traders do.

Instead, I look for relationships between stocks that usually move together – but occasionally break apart. When that happens, I place trades that payoff when those relationships come back into line.

This reframe – from guessing direction to tracking relationships – has been the foundation my success since I got my start as a trader on the floor of the Chicago Mercantile Exchange in 1997.

In fact, one of my first big wins came when I spotted something unusual during the Nasdaq’s digital transformation…

…a regular divergence between prices quoted on the trading floor and those quoted on the new electronic system.

That pattern launched my career.

And trading divergences like this has helped me make a lot of money as a trader over the years.

I’m talking more than $800,000 in 2006… $2.3 million in 2007… and $4 million in 2008 – during the worst meltdown for stocks since the Great Depression.

It’s not about trying to predict the future….

Staring at candlestick charts or memorizing Fibonacci patterns…

Or chasing the latest “hot stock” making headlines.

All you need to do is spot when two related assets get pulled too far apart… and position yourself to profit when they come back together.

Let me help you see what I mean with some examples.

It Doesn’t Take a Genius to Spot These Divergences

This first chart is of two e-commerce giants – Amazon.com (AMZN) and Alibaba (BABA).

Normally, these two stocks move in line. But sometimes they diverge (red circles). Then those divergences come back in line again (green crosses).

Here’s another classic pair of stocks that typically trades in line but sometimes diverges – rideshare rivals Uber (UBER) and Lyft (LYFT).

And here are gunmakers Smith & Wesson Brands (SWBI) and Sturm, Ruger, and Company (RGR).

That’s really all there is to it. Spot when the two lines are breaking apart and bet on them coming together again.

That’s what I did for the trade I mentioned up top.

Remember I said that the trade war was causing entire stock markets to diverge?

The two stock markets I zeroed in on were Brazil and Mexico.

They’re Latin America’s two biggest economies. Normally their stock markets move in line with one another.

But Mexico is far more economically tied to the U.S. through manufacturing and exports – particularly autos – than Brazil.

So, when President Trump ramped up his trade war rhetoric and floated the idea of a 25% auto tariff, the Mexican stock market got hit hard.

Brazil is more of a commodities play with looser U.S. trade links. And it escaped the drubbing.

So, the iShares MSCI Mexico ETF (EWW) and the iShares MSCI Brazil ETF (EWZ) began to diverge – with Mexico suddenly looking cheap relative to Brazil.

Take a look…

That trade was simple: Place a bullish trade on the Mexican ETF and a bearish trade on the Brazil ETF.

The result – a 100% gain in just over two weeks.

With results like that, you may think it’s the wins I’m most proud of.

But what really motivates me is helping my community of apprentice traders learn to trade like the pros.

More Than Just Trades – It’s a Community

At my Masters in Trading advisory, I’ve trained more than 100 professional traders and more than 30,000 subscribers.

My subscribers are from all walks of life – retired airline pilots, pediatricians, building contractors, TV and film actors, you name it.

And their feedback is hugely encouraging. Like this note from community member Carmine S…

Jonathan, thank you for all your knowledge and for your students who are sharing. I have more 100%-ers in the past several weeks compared to the last several years. You all are leaps abounds above anyone else out there.

Or this from community member Nancy R…

After I retired, I was kind of bored and looking to be intellectually stimulated. Masters in Trading was the fifth group I joined. The best thing that’s happened since I’ve joined is that now I’m making money instead of losing money and understanding my trades better…

One of the things that makes me the happiest is connecting with people. I’m a pretty social, gregarious kind of person, but I don’t want to spend my whole life going out to lunch with my friends. The community at Masters in Trading is small and you get to know people. We’re all really one big family.

Or this incredibly touching note from community member Brian…

Last year was one of the hardest and best years for my family. My wife nearly died while carrying the last addition to our family, going into vtac at 8 months. The hospital bill for my wife was $250k and the bill for the beautiful baby girl she gave birth to was $500k.

I would write down all the lessons I’ve learned from JR but honestly they are too numerous… I had bought and sold some stocks with some success, but that is the extent of my trading experience. I allocated $200k for trading via JR’s method and he doubled that in less than a year. JR you’re a legend buddy.

I wish I had time to tell you more about my trading education program… and how to spot divergence setups.

But I’ve gone on too long already.

So, if you want to see how these trades work – and why a massive new divergence is setting up right now – watch my presentation here.

I’ll get into a ton more detail about how you can use these trades to speed up your wealth building journey… and avoid the wealth destroying mistakes so many rookie traders make.

And remember, the creative trader always wins!

Jonathan Rose

Founder, Masters in Trading

P.S. I hope you’ll check out my new divergence trading presentation. It distills my nearly 30 years of experience as a professional trader into one short video.

You can also catch me on my daily livestreams at 11 am ET every day the markets open at my Masters in Trading LIVE YouTube channel.

On these livestreams, you’ll get…

• A professional trader’s morning check-in
• Insights into what sectors are moving the market
• And real-time setups you can follow in your account

This livestream video I recorded on Tuesday is all about divergence trading.

The post The Powerful Trading Strategy No One Else Is Teaching appeared first on InvestorPlace.

For nearly three years now, Nvidia (NVDA) has seemingly had AI hardware locked up tighter than Fort Knox. 

The company’s GPUs (Graphics Processing Units) have been used to train every headline-grabbing AI model, from ChatGPT to Gemini. And as a result, Nvidia stock has gone supernova, up nearly 950% since November ‘22. 

For a while, it looked to own the keys to the entire AI kingdom.

But what if I told you there’s another chip quietly emerging from the shadows; one that OpenAI – one of the world’s most important AI companies – is starting to use instead?

It’s one that most investors haven’t yet heard of; and that Nvidia doesn’t specialize in… 

A chip that, thanks to a seismic shift from Nvidia-dominated GPU training to inference and deployment at scale, could soon become the hottest chip on the market…

A Tensor Processing Unit, or TPU.

A TPU is a custom-built chip that Google designed specifically for running AI models. 

Unlike Nvidia’s GPUs, which were originally built for rendering video game graphics and later repurposed for AI, TPUs were born with one job: execute computations at blistering speed and maximum efficiency.

In essence, you can think of GPUs as general-purpose race cars and TPUs as hyper-optimized rockets.

And while GPUs are best at training AI models, TPUs were made to dominate inferencing: the part where AI actually thinks, reasons, and responds to users in real time.

That’s where AI models are going – and why TPUs could start to steal the show in a big way. 

TPUs Matter More Than Ever in the ‘Age of Inference’

In some ways, creating genius-level AI is a lot like raising a child.

You teach them everything they need to know, with books, flashcards, lectures, and thousands of examples. It takes time. It’s expensive. And for machines, it’s computationally brutal.

When they achieve inference, they can actually answer questions, solve problems, write custom pieces, or create unique visual art.

Historically, the AI race has been all about training; and Nvidia GPUs became the workhorses of that race.

But once the model is trained, inference is forever. The AI runs billions of times to serve billions of people. 

That’s where the money – and the demand for computational power – starts compounding.

DeepSeek’s Inference Shift: A Breakthrough Moment

Remember the DeepSeek saga that unfolded earlier this year?

Back before the trade war started (which seems like forever ago, I know), a Chinese AI lab named DeepSeek dropped a bomb on the industry.

It had trained a GPT-4-class model for just $6 million… a fraction of the $100 million-plus price tags seen in Western AI labs. But that wasn’t the headline. The real innovation was architectural: DeepSeek built its model to do less thinking upfront and more thinking on the fly using inference.

In other words, instead of baking every answer into a gigantic model during training, it designed this system to reason dynamically in real time. That changed everything.

Suddenly, inference wasn’t just about reading a playbook. It became the playmaker.

And in that world, you want chips that are lean, fast, and optimized for inference. You want TPUs.

Why TPUs Could Be the Next Must-Have AI Chip

Google’s TPUs are already being used internally to power Search, Translate, YouTube, Ads, Gemini, and even Veo 3, its latest AI video model. They are:

• Blazing fast for inference: TPUs are specifically designed to accelerate the types of matrix math operations that underpin AI inference, especially for large language models (LLMs) and deep learning systems. Compared to general-purpose GPUs, they can deliver lower latency and higher throughput for inference workloads.
• Incredibly power-efficient: Because TPUs are custom-built for the specific demands of AI (rather than being retrofitted like GPUs), they avoid unnecessary overhead and can process more computations per watt. This efficiency is critical for running massive AI workloads sustainably – especially at Google’s scale – and powering energy-intensive services like Ads and Gemini with lower operational costs.
• Integrated directly into Google Cloud, allowing developers and enterprises to tap into the same hardware that powers the company’s flagship AI services – without needing to build their own data centers or rely on Nvidia GPUs. And in fact, Google isn’t stopping at the cloud. This year, it partnered with MediaTek to bring TPU-based AI processing directly into smartphones and consumer devices – a major leap that could make low-latency, on-device AI a mainstream reality. This signals a strategic push to embed TPU power into the physical world, not just server racks.

As more AI shifts from the training to inference phase, TPUs are primed to steal the spotlight.

They just need to win at scale in inference – where the real money lives.

That doesn’t mean that Nvidia is doomed as the world shifts from GPUs to TPUs. The titan still owns the training space. And its newer chips, like the Blackwell B200, are getting better at inference, too.

However… Nvidia’s once-iron grip is loosening. The AI hardware market is no longer a one-horse race.

And if the future is inference-heavy, then Google – and the companies involved in TPU production – stand to gain a lot.

Manufacturing the Future: Winners of the TPU Supply Chain

Let’s follow the money here. 

Google designs TPUs. Obviously, that means that if TPUs do become the hottest AI chip in the market, GOOGL stock will soar. 

But Google doesn’t build TPUs alone. There’s a whole supply chain of companies helping it bring TPUs to life. 

We like GOOGL stock for the next few years as TPUs gain traction. But we might like those supply chain stocks even more. 

Think Broadcom (AVGO). It’s been providing custom silicon to help Google make TPUs for years. If TPUs go viral, AVGO stock stands to gain. 

Or how about Arm (ARM)? Google utilizes Arm-based CPUs in its data centers to complement its TPUs for AI workloads. Presumably, if TPU demand soars, demand for these complementary Arm-based CPUs will soar, too. And ARM stock could be a big winner. 

Then there’s Taiwan Semiconductor (TSM), the world’s largest chipmaker. Essentially, it makes all the world’s AI chips. While specific details are scant, it is widely speculated that TSM also fabricates Google’s TPUs. 

The TPU supply chain is quite long and complex. And if TPUs take over the hardware market as we expect, many stocks could be on the launching pad to generational gains. 

Get Positioned for the TPU Boom

In 2023 and ‘24, most chased AI riches by working to train the smartest model.

But in 2025 and beyond, the market will realize that the real money is in running those models efficiently, everywhere, all the time.

And when that happens, TPUs could very well be the hottest chips on the block.

The AI gold rush isn’t over. It’s just entering its second chapter. And the biggest winners may be hiding in the TPU supply chain… 

Of course, LLMs aren’t the only tech reliant on ultra-powerful TPUs. 

We think that behind the scenes, these chips are quietly laying the foundation for something even more profound: humanoid robotics. 

These machines will do more than just answer questions. They’ll have the power to physically act. Think warehouse robots that learn on the fly, medical assistants that adapt in real time, or domestic helpers that move, see, and reason like humans do.

None of this happens without fast, low-cost inference… and TPUs make that possible.

They could power an entirely new economy built on thinking machines. 

And the companies building that backbone may be the biggest winners of all.

The post The Little-Known Chip Powering the Very Future of AI appeared first on InvestorPlace.

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The ADP jobs report showed a big miss this morning.

June’s private sector hiring was forecasted to come in at 98,000. Instead, it showed the first loss since March of 2023, with 33,000 jobs disappearing.

May’s figure was also revised lower from 37,000 to just 29,000.

Here’s Nela Richardson, ADP’s chief economist:

Though layoffs continue to be rare, a hesitancy to hire and a reluctance to replace departing workers led to job losses last month.

Now, this private sector report doesn’t always sync up with the government’s jobs report, which is what the Federal Reserve members consider most in gauging the jobs market. We’ll get that data tomorrow. But today’s numbers are eye-catching and hint at growing weakness in the economy.

Will it make a difference for the Fed and the timing of its first rate cut?

This morning, legendary investor �������°� explained why he sees the Fed cutting later this month.

Let’s jump to his Flash Alert podcast in Growth Investor:

[On Monday, Chair Powell said the Fed], would’ve cut had it not been for the tariffs…

Powell went on to say regarding their meeting in July, he said, “He really can’t say, [about what the Fed will decide about cuts]” and then he said it’s going to depend on the data.

That’s a big deal, folks – that last statement, because the Fed was ignoring the economic data.

Inflation has come in well below economists’ expectations. The Fed was fighting an inflation bogeyman that never materialized. So, this is a really, really big deal.

Obviously, Fed Chairman Powell is defeated. He’s embarrassed himself. President Trump continues to humiliate him. He’s a lame duck.

Multiple Fed officials – three and rising – are calling for a July rate cut, and bond yields are falling. And the Fed never fights market rates.

So, we’re going to get a rate cut at the end of July. It’s going to help extend this rally we’ve had.

A rate cut would make President Trump happy. If you missed it, there’s a photo making the rounds of a handwritten personal note from the President to Chair Powell on Monday reading:

Jerome — You are as, usual, ‘Too Late.’ You have cost the USA A Fortune — and continue to do so — You should lower the rate — By A Lot!

We can’t show it due to copyright infringement, but it’s easy to find online.

Yesterday, President Trump’s “One Big Beautiful Bill Act” passed the Senate 51-50, with Vice President JD Vance casting a final, tie-breaking vote.

Given that this is set up as a budget reconciliation bill, it has now returned to the House, where Representatives must accept the Senate’s changes as part of the special legislative process called “reconciliation.” This allows Congress to pass certain budget-related bills with a simple majority in the Senate – bypassing the usual 60-vote filibuster threshold.

Since the Senate made changes to the House-passed version of the “Big Beautiful Bill,” the House has two options:

• Accept the Senate version, after which the bill would go to the President’s desk to be signed
• Vote it down or amend it again, after which it would go back to the Senate or to a conference committee.

President Trump hoped to have the bill accepted and on his desk by this Friday’s July 4^th holiday, but pushback is growing.

Here’s CNBC:

House Speaker Mike Johnson can lose the votes of just three members and still pass the package on a party line.

But as of early Wednesday, more than a dozen House Republicans were still opposed to it for various reasons.

If the holdouts demand any changes, the bill would automatically return to the Senate for another vote. This would mean Trump’s preferred July 4^th deadline is likely off the table.

Let’s return to Louis:

As you might imagine, everybody is whining and complaining about [the bill].

But if they don’t pass the bill, taxes go up. And if they do pass the bill, taxes go down.

So that tax cut puts more money in consumers’ pockets, boosts consumer confidence and hopefully, the velocity of money picks up and we grow and prosper.

To make sure we’re all on the same page, the bill makes permanent the tax cuts from President Trump’s 2017 Tax Cuts and Jobs Act. If not passed, approximately 62% of U.S. taxpayers will face higher federal income taxes after the provisions expire at the end of the year.

Here’s more from the Heritage Foundation:

Americans could face the largest tax increase in generations.

Most of the provisions of the 2017 Tax Cuts and Jobs Act are scheduled to expire at the end of 2025. If Congress allows the tax law to expire, 15 major provisions or sets of provisions would expire or change, mostly leading to higher taxes.

Individual tax rates would increase, and the standard deduction and child tax credit would be cut in half.

More Americans would be liable for the alternative minimum tax and estate tax, and the number of taxpayers itemizing deductions would triple.

Businesses would face higher taxes with the expiration of the pass-through deduction and expensing provisions, as well as higher taxes on companies with international operations.

The stock market – now at record highs – is priced in expectation of the permanent adoption of these tax cuts. So, if they don’t materialize, we’ll likely face a fresh round of volatility.

We’re less than a week away from the end of the 90-day pause on Liberation Day tariffs, and this morning, President Trump announced a trade deal with Vietnam.

Here’s Trump’s post on Truth Social:

Vietnam will pay the United States a 20% Tariff on any and all goods sent into our Territory, and a 40% Tariff on any Transshipping.

In return, Vietnam will do something that they have never done before, give the United States of America TOTAL ACCESS to their Markets for Trade.

In other words, they will “OPEN THEIR MARKET TO THE UNITED STATES,” meaning that, we will be able to sell our product into Vietnam at ZERO Tariff.

To make sure we’re all on the same page, “transshipping” is the process by which countries circumvent trade barriers. China has used Vietnam as a transshipment hub for years.

Even though the end of the tariff pause is fast approaching, the market no longer views the liberation day deadline with fear since Trump has signaled that he will ignore or revise prior tariff policy. However, the announced deal is boosting markets as I write early afternoon.

We’d love to get more of these deals locked in. But some could prove more challenging than others.

For the next drama, keep your eye on Japan. Here’s President Trump from Tuesday:

I’m not sure if we’re gonna make a deal, I doubt it, with Japan.

They and others are so spoiled from having ripped us off for 30, 40 years that it’s really hard for them to make a deal.

We’ll keep you updated.

Last week, we began a new series in which we pull back the curtain on different ways to trade.

We love buy-and-hold investing, but trading provides investors with several advantages:

• The potential for much faster returns
• The potential for much larger annualized returns
• The ability to profit from rising and falling markets
• The ability to hedge your long positions

Today, let’s pick back up in our series to look at one of the ways veteran trader Jonathan Rose approaches the market – something called “divergence” trading.

First, if you’re less familiar with Jonathan, he earned his stripes at the Chicago Board Options Exchange. He’s made more than $10 million over the course of his career, profiting from bull markets, bear markets, and everything in between.

Though Jonathan trades in a variety of ways, one of his favorites relies on divergences. This is the approach he’s used to make millions of dollars in his own account.

Here’s Jonathan with the big-picture description:

I call it divergence trading because you’re looking for moments when stocks that usually move in line suddenly diverge. Then you place trades that profit when they come back in line again.

I don’t make binary bets on whether a stock will go up or down like most rookie traders do.

Instead, I look for relationships between stocks that usually move together – but occasionally break apart. Then I bet on those relationships coming back into line.

Let me show you an example to see it better.

In our May 16 Digest, we highlighted Jonathan’s analysis on oil refiners.

From Jonathan in that issue:

One area I’m laser-focused on right now: refiners.

The crack spread—which is basically the profit margin refiners earn turning crude into gasoline and diesel—has surged over 30% since mid-March. That kind of divergence doesn’t last forever.

To illustrate, Jonathan provided a chart that I’ll show you below.

The yellow line represents the crack spread. You’ll see how it had become increasingly disconnected from a basket of refiner stocks.

Back to Jonathan:

This creates opportunity for creative traders.

When margins are expanding and the equities haven’t caught up, we’ve got a window to strike.

This is the exact kind of setup I love to track… because when the market catches on, the move can be fast and aggressive.

So, what happened?

Since that May 16 Digest, while the S&P has climbed about 4%, HF Sinclair (DINO) – which Jonathan highlighted in his research – has 4X’d the S&P, jumping nearly 17%.

Now, not all refiners have returned this much, but that’s where Jonathan would use additional metrics and indicators to point him toward the specific ways to play this divergent trade. But this is the essence of this market approach.

By the way, if you play that 17% gain with an option, suddenly you’re talking about serious money in just a matter of weeks – potentially, triple digits.

Back to Jonathan for what’s on the table with a well-executed divergence trade with an option:

I’ve used the same strategy to close out gains of…

• 122% in 35 days
• 127% in 5 days
• 142% in 39 days
• 322% in 32 days
• 411% in 39 days
• 752% in 40 days
• 805% in 70 days
• And 967% in 52 days

This trading style the potential to deliver thousands of dollars in profits without you taking crazy risks with your money.

Given how popular and effective this trading style is, we’ll bring you more about it over the coming days. But for now, if you’d like a deeper dive, Jonathan just put together a new divergence trading presentation. It distills his nearly 30 years of experience as a professional trader into one short video.

And as a reminder, join Jonathan for his free Masters in Trading Live broadcasts at 11:00 a.m. every day the market is open. They’re a fantastic way to learn more about trading, while also giving you the tools to put a wad of cash in your pocket.

We’ll keep you updated on all these stories here in the Digest.

Have a good evening,

Jeff Remsburg

The post The Lame Duck Holding Back the Market appeared first on InvestorPlace.

Last Thursday, one of The Wall Street Journal’s headlines read:

Wall Street Panics Over Prospect of a Socialist Running New York City

If you missed it, last week, Democratic Socialist Zohran Mamdani stunned former New York governor Andrew Cuomo in the New York City Democratic primary for mayor.

Here’s the WSJ with some of Mamdani’s agenda items beyond his plan to raise taxes on the wealthy:

He has said he would make the city more affordable by freezing rents on rent-stabilized apartments, investing $70 billion in publicly subsidized housing, providing free bus service and opening government-operated grocery stores.

Dan Loeb, chief executive of hedge fund Third Point, posted on X:

It’s officially hot commie summer.

Now, let’s switch focus to another headline from last Thursday that seems completely unrelated at first.

Here’s Bloomberg:

Salesforce CEO Says 30% of Internal Work Is Being Handled by AI

This comes after the software giant has already eliminated more than 1,000 jobs here in 2025 as it restructures around AI.

It’s no surprise. Back in January, speaking at the World Economic Forum in Davos, Salesforce CEO Marc Benioff told the audience that they would be the last group of executives to lead an all-human workforce.

From Benioff:

From this point forward…we will be managing not only human workers but also digital workers.

While these two headlines look unrelated, they’re part of the same story…

A rising tide of economic displacement powered by AI…and the political/social reckoning that’s going to follow.

Salesforce’s shift toward AI is hardly an outlier.

In May, Cybersecurity company CrowdStrike announced it would cut 500 jobs – roughly 5% of its workforce.

Here was MarketWatch with the explanation:

[Behind the layoffs is] both the security threat posed by artificial intelligence and the growing use of AI to move faster and operate more efficiently.

That same week, The Wall Street Journal reported a similar story from tech blue blood IBM:

International Business Machines Chief Executive Arvind Krishna said the tech giant has used artificial intelligence, and specifically AI agents, to replace the work of a couple hundred human resources workers. 

Also in May, language-learning app Duolingo unapologetically cannonballed into AI. From TechCrunch:

Duolingo announced plans this week to replace contractors with AI and become an “AI-first” company — a move that journalist Brian Merchant pointed to as a sign that the AI jobs crisis “is here, now.”

Meanwhile, a few weeks ago, we learned that Amazon is testing humanoid robots designed to perform package deliveries.

And yesterday, in an interview with CNBC, Amazon CEO Andy Jassy said that Amazon will be reducing its headcount thanks to AI.

From CNBC:

Jassy admitted that he expects the company’s workforce to decline in the next few years as Amazon embraces generative AI and AI-powered software agents.

If AI replaces people, where does the money go?

To shareholders. To executives. To private equity funds.

Not to labor.

When AI begins doing 30% of the work at a company, it creates the potential for 30% in labor cost savings. But those savings only translate into higher margins if the company reduces its payroll accordingly – either by laying off workers, freezing hiring, or cutting pay.

So, what do you think a CEO will do?

We don’t have to guess. Benioff at Salesforce and Jassy at Amazon are showing us.

As headcounts shrink and AI systems scale, the value that once went to wages increasingly accrues to the company’s bottom line. This will amount to one of the most dramatic shifts in the capital/labor relationship in modern history.

Bottom line: The AI dividend won’t be shared by all, just a select few.

So, how will workers, and larger society, respond?

Viewed through an AI/“Haves vs Have Nots” lens, Mamdani’s victory in New York makes sense.

Economic pressure is increasing, especially for younger voters and renters in high-cost cities. As wealth accumulates at the top – exacerbated now by AI-driven efficiencies – there’s growing appetite for socialist redistribution.

Sure, we’ve had some left-populist and socialist candidates make electoral gains across U.S. cities in recent years, but New York is the financial capital of the world. And a major party candidate is now openly calling for redistributive policies, public ownership, and state intervention in markets.

And let’s be clear: Mamdani didn’t beat Cuomo despite these policies – he won because of them.

We’re only at the beginning of this evolution.

As AI begins to replace not just factory and warehouse workers but customer support reps, paralegals, software engineers, and even parts of middle management, that painful economic squeeze will move up the income ladder.

And the higher it goes, the closer we get to an economic earthquake.

If wealth continues to concentrate – accelerated by AI – while middle class wealth erodes, the U.S. will likely face mounting pressure for sweeping policy reforms. In this case, that might mean Universal Basic Income (UBI).

To make sure we’re all on the same page, UBI is a social welfare program where all citizens regularly receive a set amount of money from the government, regardless of their income, employment status, or other qualifications.

There are loads of related questions. But one of the core issues is “How would the government fund UBI payouts?”

Well, it seems pretty obvious…

From the coffers of the AI companies that have accrued all the wealth.

And if that’s the case, get ready for an enormous fight with vast implications for your portfolio.

In one camp, we have people like David Sacks, a member of the so-called “PayPal Mafia” (which includes Elon Musk and Peter Thiel).

You might know him as one of the co-hosts on the business and technology podcast “All-In” alongside Chamath Palihapitiya, Jason Calacanis, and David Friedberg. But most relevant to today’s Digest, he’s a top White House policy advisor for AI – with some strong opinions on UBI.

From Business Insider, a few weeks ago:

The AI czar said on X this week that such government “welfare” is a “fantasy.”

“The future of AI has become a Rorschach test where everyone sees what they want. The Left envisions a post-economic order in which people stop working and instead receive government benefits,” Sacks wrote.

“In other words, everyone on welfare. This is their fantasy; it’s not going to happen.”

In the other camp we have various politicians like Mamdani, as well as some tech C-suite executives pointing toward UBI.

A few weeks ago, Google DeepMind CEO Demis Hassabis said that not only do we need UBI, but we also need a “universal high income.”

After telling the interviewer about the enormous changes rapidly approaching with AI, Hassabis said:

We may need things like universal high income or some way of distributing all the additional productivity that AI produces in the economy.

But if the productivity gains from AI are going to be redistributed, why would a business invest billions in AI technology?

Will Google DeepMind lead the charge to redistribute the lion’s share of its profits to the masses – Google investors be damned?

If so, I look forward to the class action lawsuit from investors (argued by humanoid lawyers).

On the other hand, if we don’t redistribute the snowballing concentration of wealth at the top (especially as people lose jobs to AI), what’s to stop an eventual “let them eat cake” moment?

Civil unrest isn’t off the table if people believe the system has failed them and is preventing them from upward economic mobility.

History suggests this isn’t an absurd notion to brush off.

Off the top of my head, here are some ideas we’ll probably hear about:

• A “robot” tax, as Bill Gates suggested
• Higher capital gains taxes on investors benefitting from AI-specific gains
• Broad wealth taxes for the biggest, wealthiest beneficiaries of the AI economy
• Tax incentives or some other advantage for AI companies that voluntarily contribute to a sovereign AI fund
• Some type of labor protections in select industries (remember the dockworkers strike last year which made protections against robotic workers a central point?)
• New pay model where citizens earn income for allowing their data to be harvested by big tech for the various algorithms

Whatever the final solution, it’s nearly a lock that “more taxes” will be a part of the answer. But the government must walk a fine line…

Too much tax and you penalize innovation and discourage AI investment… too little tax and you risk excessive wealth concentration and social resentment/upheaval.

Whatever the answer is, it will likely require our politicians to use a scalpel – not a sledgehammer.

You already know it – invest in top-tier AI stocks.

Companies that successfully leverage AI will outperform their peers by a wide margin. Productivity gains, reduced overhead, and faster scaling are already showing up in earnings…and by extension, stock prices.

Just look at Nvidia’s market cap – it’s evidence of the AI infrastructure gold rush.

At some point, legislation will arrive that redistributes AI gains in some fashion, or that taxes you on your AI returns. But for now, we’re in a window during which AI is taking over the economic world unchecked.

It’s your call what to do about it.

From Ken Griffin at Citadel, to Steven Cohen’s Point72 Asset Management, to Ray Dalio at Bridgewater, AI is now playing a huge role.

Fortunately, retail investors aren’t without options.

Our corporate partner, TradeSmith, is one of the preeminent investment quant shops in the world. It has a staff of data scientists, software engineers, and investment analysts working on developing its market algorithms.

It’s spent more than $20 million and hundreds of thousands of man hours developing the most cutting-edge financial innovations on the market for regular investors. And earlier this week, it debuted its latest AI investment tool.

It’s basically a way to outsource your trading decisions to some of the most advanced AI algorithms available in the market today.

Here’s TradeSmith CEO Keith Kaplan:

According to a report from the SEC, hedge funds deploying AI-driven trading strategies outperformed their peers by an average of 12%.

TradeSmithGPT can do better.

In our back-testing, it identified setups with potential gains as high as 776%.

Of course, that’s just one example.

In back-testing, it also flagged…

• A 153% win on Spotify (SPOT)…
• A 172% win on Eli Lilly (LLY)…
• And a 339% gain on Taiwan Semiconductor Manufacturing (TSM).

All in a matter of days.

Now, not every trade will be a winner. So, you should never invest more money than you can afford to lose.

But if you want to invest alongside AI like the top players on Wall Street, this new software is something you’ll want to have on your radar.

Last Wednesday, Keith held a live demo of this new tool – TradeSmithGPT. He discussed the engineering, how it works, and how it can make an enormous difference in your portfolio this year – even if volatility remains. Here’s the link to the free demonstration.

By the way, today is the last day it’s available. I’m told the video is coming down tonight at midnight.

The bottom line is that AI is here. Either we use it…or get steamrolled by it.

I believe the first domino has tipped, and here’s what’s coming…

AI drives profit concentration… this leads to increasing economic dislocation… political backlash grows… eventually, the masses vote in candidates who champion redistributionist economic policies… the stock market – and our portfolios – must adjust.

That final evolution will be painful for investors. But between now and then, we’ll have a blow-off period of enormous wealth-building opportunity. Yes, it’ll be volatile with some bruising corrections, but “higher” is our destination.

But it will all come faster than we expect, which will bring challenges.

Fund manager and columnist for the Financial Times, Ruchir Sharma put it well:

We are living through the most dramatic reshuffling of wealth and power in modern economic history.

The winners and losers are being determined faster than our systems can adapt.

Of course, when reshuffling occurs at a faster pace than systems can adapt, things break.

We’re already seeing our systems coming under pressure.

Look at New York…

Look at Salesforce/Amazon…

AI is here. Its rewards are real. But its risks are equally real – and spreading.

Have a good evening,

Jeff Remsburg

The post The Coming Battle: AI Wealth and the Socialist Backlash appeared first on InvestorPlace.

My colleague Jonathan Rose, a professional trader for the past 27 years, has built his career doing just that. During the 2008 crash, while most investors panicked, he made over $4 million using a strategy few retail investors even know exists: Divergence trading.
He just spotted what he calls the “Trade of the Decade” – a rare divergence unfolding between gold and silver. I believe it could be one of the most potentially lucrative setups we’ve seen in years.

In the article below, Jonathan breaks down how these trades work including one he recently closed for a 100% gain in just 19 days. If you’re looking for a smarter way to profit from today’s volatility, this is a must-read.

And if you want to learn how his strategy works, and why it thrives in markets like today, I highly encourage you to watch Jonathan’s new presentation.

I’ll let Jonathan take it from here…

**

Talk about a sweet setup…

Back in April, I spotted the chance to double my subscribers’ money in a matter of weeks with one of my signature trades.

This was in the wake of President Trump’s “Liberation Day” tariff announcements.

Markets were in chaos. Volatility was spiking. And the TV news anchors and armchair analysts on social media were in full-on doomsday mode.

But I wasn’t paying attention to the headlines or to the latest rant on X. Here’s what caught my attention instead…

The tariff-war panic wasn’t just hitting random stocks. It was creating massive divergences between entire stock markets that usually move in sync.

I’ve been a professional trader for the past 27 years. I’ve seen just about every kind of market you can imagine – the good, the bad, and the truly chaotic.

And I’ve learned that when markets that usually move together suddenly break apart, you can make a lot of money betting on them coming back into line again.

That’s exactly what happened in April.

I bet on one of these divergences coming back into line again – and closed that trade 19 days later for a 100% gain.

And it’s not the only “divergence trade” that’s led to triple-digit winners. I’ve used the same strategy to close out gains of…

• 122% in 35 days
• 127% in 5 days
• 142% in 39 days
• 322% in 32 days
• 411% in 39 days
• 752% in 40 days
• 805% in 70 days
• And 967% in 52 days

Now, a new major divergence is forming. And I’m sharing all the details in a new on-camera presentation.

I hope you’ll hear what I have to say. Because it has the potential to deliver thousands of dollars in profits without you taking crazy risks with your money.

Just ask one of my followers, Dan B…

The last time this same divergence happened he took a single position and walked away with a game-changing result. As he later wrote me…

My account went from $44,325 to over $180,000 – on a single trade.

So today, I’ll show you how divergence trades work… including the recent one that netted a 100% gain.

First, let’s make sure you understand what a divergence is – and why it’s such a powerful trade signal to follow.

Forget Binary Bets – It’s All �������°� Relationships

Picture a presidential motorcade.

Lights flashing. Helmets of the motorcycle outriders gleaming in the sun. Blacked-out SUVs rolling along in sync.

Same speed, same spacing, same mission.

Everything is as you’d expect.

But then… one of the SUVs breaks formation and suddenly surges ahead.

You know that can’t last. Sooner or later, it has to fall back in line.

And sure enough, after a moment out front, the outlier SUV drifts back into formation.

That’s exactly how I see the market.

I don’t make binary bets on whether a stock will go up or down like most rookie traders do.

Instead, I look for relationships between stocks that usually move together – but occasionally break apart. When that happens, I place trades that payoff when those relationships come back into line.

This reframe – from guessing direction to tracking relationships – has been the foundation my success since I got my start as a trader on the floor of the Chicago Mercantile Exchange in 1997.

In fact, one of my first big wins came when I spotted something unusual during the Nasdaq’s digital transformation…

…a regular divergence between prices quoted on the trading floor and those quoted on the new electronic system.

That pattern launched my career.

And trading divergences like this has helped me make a lot of money as a trader over the years.

I’m talking more than $800,000 in 2006… $2.3 million in 2007… and $4 million in 2008 – during the worst meltdown for stocks since the Great Depression.

It’s not about trying to predict the future….

Staring at candlestick charts or memorizing Fibonacci patterns…

Or chasing the latest “hot stock” making headlines.

All you need to do is spot when two related assets get pulled too far apart… and position yourself to profit when they come back together.

Let me help you see what I mean with some examples.

It Doesn’t Take a Genius to Spot These Divergences

This first chart is of two e-commerce giants – Amazon.com (AMZN) and Alibaba (BABA).

Normally, these two stocks move in line. But sometimes they diverge (red circles). Then those divergences come back in line again (green crosses).

Here’s another classic pair of stocks that typically trades in line but sometimes diverges – rideshare rivals Uber (UBER) and Lyft (LYFT).

And here are gunmakers Smith & Wesson Brands (SWBI) and Sturm, Ruger, and Company (RGR).

That’s really all there is to it. Spot when the two lines are breaking apart and bet on them coming together again.

That’s what I did for the trade I mentioned up top.

Remember I said that the trade war was causing entire stock markets to diverge?

The two stock markets I zeroed in on were Brazil and Mexico.

They’re Latin America’s two biggest economies. Normally their stock markets move in line with one another.

But Mexico is far more economically tied to the U.S. through manufacturing and exports – particularly autos – than Brazil.

So, when President Trump ramped up his trade war rhetoric and floated the idea of a 25% auto tariff, the Mexican stock market got hit hard.

Brazil is more of a commodities play with looser U.S. trade links. And it escaped the drubbing.

So, the iShares MSCI Mexico ETF (EWW) and the iShares MSCI Brazil ETF (EWZ) began to diverge – with Mexico suddenly looking cheap relative to Brazil.

Take a look…

That trade was simple: Place a bullish trade on the Mexican ETF and a bearish trade on the Brazil ETF.

The result – a 100% gain in just over two weeks.

With results like that, you may think it’s the wins I’m most proud of.

But what really motivates me is helping my community of apprentice traders learn to trade like the pros.

More Than Just Trades – It’s a Community

At my Masters in Trading advisory, I’ve trained more than 100 professional traders and more than 30,000 subscribers.

My subscribers are from all walks of life – retired airline pilots, pediatricians, building contractors, TV and film actors, you name it.

And their feedback is hugely encouraging. Like this note from community member Carmine S…

Jonathan, thank you for all your knowledge and for your students who are sharing. I have more 100%-ers in the past several weeks compared to the last several years. You all are leaps abounds above anyone else out there.

Or this from community member Nancy R…

After I retired, I was kind of bored and looking to be intellectually stimulated. Masters in Trading was the fifth group I joined. The best thing that’s happened since I’ve joined is that now I’m making money instead of losing money and understanding my trades better…

One of the things that makes me the happiest is connecting with people. I’m a pretty social, gregarious kind of person, but I don’t want to spend my whole life going out to lunch with my friends. The community at Masters in Trading is small and you get to know people. We’re all really one big family.

Or this incredibly touching note from community member Brian…

Last year was one of the hardest and best years for my family. My wife nearly died while carrying the last addition to our family, going into vtac at 8 months. The hospital bill for my wife was $250k and the bill for the beautiful baby girl she gave birth to was $500k.

I would write down all the lessons I’ve learned from JR but honestly they are too numerous… I had bought and sold some stocks with some success, but that is the extent of my trading experience. I allocated $200k for trading via JR’s method and he doubled that in less than a year. JR you’re a legend buddy.

I wish I had time to tell you more about my trading education program… and how to spot divergence setups.

But I’ve gone on too long already.

So, if you want to see how these trades work – and why a massive new divergence is setting up right now – watch my presentation here.

I’ll get into a ton more detail about how you can use these trades to speed up your wealth building journey… and avoid the wealth destroying mistakes so many rookie traders make.

And remember, the creative trader always wins!

Jonathan Rose

Founder, Masters in Trading

P.S. I hope you’ll check out my new divergence trading presentation. It distills my nearly 30 years of experience as a professional trader into one short video.

You can also catch me on my daily livestreams at 11 am ET every day the markets open at my Masters in Trading LIVE YouTube channel.

On these livestreams, you’ll get…

• A professional trader’s morning check-in
• Insights into what sectors are moving the market
• And real-time setups you can follow in your account

This livestream video I recorded on Tuesday is all about divergence trading.

The post This Simple “Divergence” Pattern Made 100% in 19 Days appeared first on InvestorPlace.

While the world was busy debating whether robots would steal jobs, innovation continued in the quiet corners of global industry: robots stopped being machines and started becoming minds.

Over 4.2 million robots now operate in factories worldwide – a 10% jump in just one year, according to the International Federation of Robotics. The AI robotics market is exploding from $12.77 billion in 2023 to a projected $124.77 billion by 2030… a 38% annual growth rate that dwarfs most tech sectors.

And these aren’t the clunky, pre-programmed factory arms of decades past. Today’s robots coordinate across cities, make split-second decisions, and learn from every interaction. Waymo delivers 250,000 autonomous rides weekly. Amazon (AMZN) employs over a million warehouse robots. Tesla‘s (TSLA) humanoids are training in real factories.

The question isn’t whether we noticed they already arrived. It’s whether we understand the economic earthquake they’re about to trigger… 

We’re looking at addressable markets measured not in billions but in trillions. The digitization of labor itself could be the biggest economic transformation of the 21st century.

This is AI’s next chapter. And according to none other than Nvidia (NVDA) CEO Jensen Huang – the architect behind the first wave of AI riches – it will be even more impactful.

He calls it Physical AI: embodied intelligence that thinks and acts. 

And this revolution is unfolding in three distinct waves that are reshaping trillion-dollar industries right now…

The Massive Market Opportunity for Robotics Across Industries

The addressable market for Physical AI is on a scale unlike most anything we’ve yet seen.

Let’s break it down.

• Self-Driving Cars: The global automotive market currently measures over $3 trillion. And as for ride-hailing, it’s already a $200 billion industry on its way to $500 billion in gross volume. That means that whoever owns the robotaxis owns a transportation goldmine.
• Warehouse Automation: There are over 5 million warehouses worldwide, many still only partially automated. As the push for efficiency accelerates, automation in logistics and fulfillment could eventually unlock a $300- to $500-billion opportunity across robotics, software, and AI systems.
• Restaurant Robots: The global restaurant industry spends over $1.2 trillion a year on labor alone. Robotic cooking, serving, and cleaning technologies are increasingly poised to cut those costs and boost margins, especially in fast food and hospitality, where automation is gaining traction.
• Consumer Humanoids: If just 5% of the world’s 2 billion households were to buy a $20,000 robot in the next decade, that would represent a $2-trillion addressable market. Raise the adoption or the price point, and suddenly, you’re looking at a potential $10 trillion opportunity.

The digitization of labor itself could just be the biggest economic transformation of the 21st century.

And we believe this revolution will unfold in three distinct waves.

Wave 1: AI-Driven Self‑Driving Cars Hit the Streets

The first has already hit the road – literally – with self-driving cars. 

Alphabet’s (GOOGL) Waymo is quietly running one of the most advanced robotaxi networks in the world, delivering over 250,000 autonomous rides per week in cities like Phoenix, San Francisco, Los Angeles, and Atlanta. It’s also applying to operate in New York City and mapping Tokyo. This is beyond testing; we’ve arrived at widespread deployment.

Tesla, meanwhile, just launched its own robotaxi service in Austin. Rides cost as little as $4.20. The cars drive themselves (alongside safety drivers for now), marking the start of Tesla’s bold plan to scale a fully autonomous taxi network powered by its existing fleet and its coming Cybercab vehicle.

Then there’s Amazon-backed Zoox, which is preparing for a major launch in Las Vegas later this year. Its custom-designed, bidirectional pod is built from the ground up for autonomous city driving. Production capacity currently measures 10,000 units per year. And that’s just the beginning.

Uber (UBER) has been busy here, too. It’s teamed up with Waymo in multiple cities and is now partnering with Volkswagen to deploy a new robotaxi fleet in LA. Uber doesn’t want to build the tech; it wants to aggregate autonomous providers. Waymo, VW – it just keeps adding names. 

The robotaxi race has clearly begun. And it’s just the opening salvo of Physical AI…

Wave 2: Warehouse Robots – The Hidden Backbone of Logistics

While robotaxis grab headlines, the second wave of Physical AI is already hard at work transforming the global supply chain.

• Amazon now has more than 1 million of the machines working in its warehouses today, picking, sorting, packing, and transporting products with increasing autonomy. Soon, the company will employ as many robots as it does humans.
• FedEx (FDX) is using robots to load and unload trucks, moving goods through logistics centers with minimal human involvement.
• Walmart (WMT) has partnered with Symbotic (SYM) to fully automate all 42 of its regional distribution centers – a massive shift that could reshape retail logistics across the U.S.

This industrial shift has been taking place behind the scenes for several years. And we’ve now arrived at a point when warehouse jobs are being absorbed by Physical AI at scale. It’s faster, safer – and can be more reliable, as it never needs a break, sick leave, or paid time off. 

And alongside this technological takeover, the suppliers creating bots’ vital components are enjoying heightened demand. Those producing the sensors, chips, robotic arms, and AI control stacks for these facilities are poised to become giants.

Wave 3: Humanoid Robotics Are the Next Frontier in Automation

And now we come to the final – and arguably most important – wave of Physical AI: humanoid robots…

Because once you’ve built machines that can see, reason, and move around a warehouse, the next challenge is creating bots that can move through our world. Open doors. Climb stairs. Pick up boxes. Cook dinner. Fold laundry. Carry groceries.

That’s where we’re headed now – and fast.

Tesla appears to be leading the charge here. Elon Musk has made it clear that Tesla isn’t just a car company; it’s a robotics company. Its Optimus is a full-blown humanoid, powered by Tesla’s FSD AI stack, trained in Tesla factories, and expected to launch externally as early as 2026.

Nvidia, meanwhile, has built an entire software and hardware stack for humanoid robots. Its Isaac GR00T platform trains humanoids in simulation using real-world physics, and its new Rubin and Blackwell chips are designed to power them. It’s even partnering with Foxconn to build humanoid robot factories.

Meta (META) is also building its own robot operating system. Startups like Figure and Apptronik are working with Ford (F), BMW, and logistics giants to build humanoids for factory and warehouse environments.

And over in China, robotics firm UBTech is launching a consumer-grade humanoid robot with a $20,000 price tag for families and households. That’s happening this year.

Meanwhile, just this past weekend at Tsinghua University in Beijing, China put on an entertaining display as teams of humanoid robots faced off in fully autonomous 3-on-3 soccer matches. Now, don’t get us wrong; these bots performed more like toddlers than pro athletes. But it was still a strong demonstration of current robotic agility and real-time decision-making. If they can score goals today, they can certainly sweep floors, stock shelves, or serve fries tomorrow.

This is the future. And it’s fast-approaching.

Investing Before Physical AI Goes Mainstream

The AI Boom is beginning to evolve, leaving chatbots and data centers and stepping into the real world.

Robotaxis are transporting passengers throughout cities around the world.

Warehouses are being automated, reshaping both labor and logistics along the way.

And humanoid robots will likely soon become part of everyday life for many.

We’ve arrived in the era of Physical AI. And we think this is the moment before the flood…

Because if you invest now – before CNBC runs a segment about “Why Robots Are the New Gold Rush”; before the stocks go vertical and the bots are everywhere…

You and your portfolio will be ready to capitalize on one of the largest industrial transformations of our lifetime.

Click here to learn more about some of the most promising Physical AI investments right now.

The post The Trillion-Dollar Turn: AI and Robotics Powering the Next Industrial Revolution appeared first on InvestorPlace.

Imagine seeing the market’s next move before it happens.

That’s no longer wishful thinking. It’s increasingly a reality as AI collides with the investment markets.

In today’s Digest, I sit down for a video interview with TradeSmith CEO Keith Kaplan to discuss a new trading tool that’s poised to reshape how investors navigate the markets – it’s a breakthrough AI system built to forecast stock movements with up to 90% certainty.

The tool is engineered to identify a stock’s “profit window” – you can think of this as the exact period it’s most likely to make a big move (increasing the odds of big trading profits).

In today’s interview, we cover:

• How AI is changing the investment landscape
• How Keith and his team have leveraged their programming skills to create a world-class trading tool for investors
• How retail investors can now use much of the same technology that professional firms utilize

Keith even uses screenshots to give you a better understanding of how it all works.

Bottom line: If you’d like to learn how to leverage AI to improve your trading results and/or make your trading process much easier, today’s interview is for you.

Click on the thumbnail below to watch.

To catch the full replay of Keith’s live presentation from last week, click here. He goes into additional detail about TradeSmithGPT and provides loads of back-tests.

Full disclosure: There’s a bit of urgency – in the free replay, Keith passes along the names and tickers of three new opportunities for tomorrow that could each shoot up 100% or more. So, we’re down to the wire to take advantage.

Here’s the link again to the replay.

Have a good evening,

Jeff Remsburg

The post The AI That Sees Tomorrow’s Stock Moves Today appeared first on InvestorPlace.

The bottom line is that the ceasefire between Israel and Iran seems to be holding, and investors are breathing a sigh of relief.

Now, I want to quickly remind you that the stock market, as well as the InvestorPlace offices, will be closed on Friday, July 4 for the Fourth of July holiday. The markets will also be closing early on Thursday, July 3 for the holiday.

So, with the holiday-shortened week upon us, things look to be relatively quiet on Wall Street.

Now, in this week’s Navellier Market Buzz, I’m joined by my friend and InvestorPlace colleague Luke Lango. We talk about Luke’s investment strategy, the “Robotaxi showdown” between Tesla, Inc. (TSLA), Uber Technologies, Inc. (UBER) and Alphabet, Inc.’s (GOOG) Waymo, his stock picks for the space industry and much more.

Click the image below to watch now.

To see more of my videos, subscribe to my YouTube channel here. And if you want to learn more about Luke and his products, click here.

How AI Can Transform Your Portfolio

Luke and I both agree that AI is redefining how we live our lives. We’re seeing it be used to make discoveries that none of us thought were possible, like a brand-new antibiotic and even predicting extreme weather forecasts.

So, if it can do those things, why not trust it to help make better investing decisions?

That’s where TradeSmithGPT comes in.

TradeSmithGPT is an AI-powered tool developed by our corporate partner, TradeSmith, that can identify the ideal “profit window” for nearly 2,000 stocks. In other words, it can tell you exactly when a stock is most likely to surge.

Now, if you’re like me and need to see the numbers for yourself, TradeSmith did backtesting on TradeSmithGPT, and it uncovered these massive returns:

• 102% in seven days from RingCentral, Inc. (RNG)
• 103% in two days from EPAM Systems, Inc. (EPAM) 
• 474% in 18 days from United Airlines, Inc. (UAL) 
• And 776% in 17 days from GoDaddy Inc. (GDDY).

TradeSmith CEO Keith Kaplan shared how it all works in a live demonstration, which you can check out here before it’s taken down tomorrow evening.

And if you sign up for access, you’ll get three new opportunities that TradeSmithGPT recently flagged as high upside trade set-ups, set to release tomorrow, July 1.

Go here now to learn more, before it’s too late.

Sincerely,

�������°�

Editor, Market 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

United Airlines, Inc. (UAL)

The post Robotaxi Showdown: Luke Lango Compares Tesla, Uber & Waymo appeared first on InvestorPlace.

If you’re an avid poetry reader – or simply survived a mandated literature class – you’ve likely come upon this famous stanza from Walt Whitman’s poem “Song of Myself”…

Do I contradict myself?
Very well then I contradict myself,
(I am large, I contain multitudes.)

In short, the line refers to the idea that we humans are complex. We are all filled with such vast emotions and experiences that our individual worlds can sometimes be conflicting.

The markets follow a similar state of being.

On April 7, the S&P 500, Nasdaq Composite, and Dow Jones Industrial Average all hit 52-week lows after a steady slide lower after President Trump announced his “Liberation Day” tariffs on April 2.

However, as of Friday, not only have the S&P 500 and Nasdaq regained all their Liberation Day losses, but they’re now trading at record highs.

This surge is driven by optimism over easing trade tensions, a rally in AI-driven stocks, and expectations that Thursday’s U.S. jobs report will be enough to convince the Federal Reserve to cut key interest rates at its next Federal Open Market Committee (FOMC) meeting in July.

Today, I want to highlight a company that contains multitudes itself. This company suffered a near 52-week low after Trump’s infamous April tariff announcement.

But on Friday, it hit a new year high.

Now, this company may not be a household name here in the United States, but the company is well known in every Korean household.

It is Korea’s go-to provider of Amazon-like services, and a company that I consider a top pick for 2025.

I’m talking about Coupang Inc. (CPNG).

In 2015, SoftBank invested $1 billion in this start-up company, which made Coupang Korea’s first “unicorn” – i.e., a private company worth more than $1 billion. Softbank injected another $2 billion into Coupang in late 2018.

Thanks to early investments like these, Coupang has become the dominant e-commerce retailer in Korea. Its core business, Rocket Delivery, delivers 99% of its orders within 24 hours. This service also offers same-day delivery for many products.

In addition to this core business, Coupang also runs a takeout delivery business called Coupang Eats and an online grocery delivery business called Rocket Fresh.

The company also provides a range of ancillary services, like Coupang Play, which allows customers to live-stream movies and sporting events, and Coupang Pay, which provides seamless payment processing across all Coupang services.

The company has been growing rapidly over the last several years, as it has expanded its dominance and improved its profitability.

Expanding Its Market Share

One aspect I like about Coupang is that it uses acquisitions and targeted investments in foreign markets to increase its market share.

For example…

Coupang purchased Farfetch in 2024, an e-commerce company focused on luxury clothing and beauty products. This acquisition expands Coupang footprint, both demographically and geographically. The London-based Farfetch sells its high-end products primarily to customers in the U.S. and Europe.

In addition to this diversification, Coupang is making a big push into the Taiwan e-commerce market and is making plans to expand into other regional markets.

Coupang is also investigating and testing ways to enhance its businesses with artificial intelligence technologies. Coupang’s e-commerce platform already utilizes AI and advanced robotics. Additionally, Coupang has over 1,000 patents for its technology-enabled supply chain.

As Coupang expands its empire, and its earnings continue ramping higher, I expect its share price to post solid market-beating gains for many years. Given Coupang’s smart business strategies and upside potential, I decided to recommend Coupang in Fry’s Investment Report back in June 2024. While it hasn’t been a straight ride up, we’re now sitting on a 40% gain.

You can learn how to access my full, detailed analysis of this company by joining me at Fry’s Investment Report today.

As a member, you will receive access to all of my latest recommendations, including weekly company updates, alerts, and my detailed analysis on the megatrends that I am closely following.

To learn more, click here.

And speaking of containing multitudes, let’s take a look back at what we covered here at Smart Money this past week…

Smart Money Roundup

What This 2,000-Year-Old Computer Can Teach Us �������°� Trading Today

June 25, 2025

The Antikythera Mechanism is the oldest-known analog computer in the world. More than 2,000 years later, we’re still building machines to predict the future. Thanks to a branch of artificial intelligence known as machine learning, these systems can now forecast the movement of stocks. To learn how you can tap into the power of AI-assisted trading and join the hedge funds already leveraging it, click here.

Why Oil Prices Are Falling… and the Tool That Can Give You an Edge in a Chaotic Market

June 26, 2025

Although tensions in the Middle East rose last week, Wall Street doesn’t seem concerned. Stocks rallied sharply and crude prices fell 13% since Friday. This suggests Wall Street believes a ceasefire will hold, and that oil will keep flowing at near-record levels. But in Thursday’s issue, we’ll tell you why traders might be too optimistic in their risk assessment, what this means for the oil industry, and why it’s worthwhile to keep an eye on the sector.

AI vs. Wall Street: The Power Is Now in Your Hands

June 28, 2025

As TradeSmith CEO Keith Kaplan recently revealed during a live presentation, his team’s powerful new AI project– called TradeSmithGPT – is finally ready for action. It analyzes opportunities across nearly 2,000 stocks in any sector and could deliver four, eight, even nine years of average stock market gains in a matter of weeks. Click here to hear more from Keith about how this tool works, and how it could change the way you invest in 2025 and beyond.

The Robotaxi Wars Just Escalated. And It’s Only the Beginning…

June 29, 2025

You may know that autonomous ride services have been around for a while, but legendary investor �������°� believes this is just the beginning of the most important transportation shift since the invention of the internal combustion engine. Continue reading to understand how disruptive this technology could be across industries and how investors can correctly position themselves for the shift.

Looking Ahead

This week, I’ll continue to dive deeper into big-picture trends that continue to shape my investment outlook.

In the meantime, to help you navigate all the markets’ multitudes, our partners at Tradesmith have recently released TradeSmithGPT, an AI-powered system designed to cut through the noise and pinpoint the exact stocks poised to benefit from major market shifts.

Instead of reading data and outputting text or an image, it spots patterns in 120 million market datapoints on more than 2,400 stocks.

It’s so sophisticated on the back end that it looks like a high-powered “quant” algorithm used by a major hedge fund… yet it’s easy and intuitive for any investor to be able to use.

It has already flagged profit windows with potential triple-digit returns in as little as 17 days.

The best part is that the folks at TradeSmith have opened up access to this powerful new tool.

You can learn all about TradeSmithGPT here.

It’s only available for a limited time, so you’ll want to be sure to check it out today.

Regards,

�������°�

The post This Korean E-Commerce Giant Hit New Highs – Here’s Why I See Bigger Upside Ahead appeared first on InvestorPlace.

Whether on Reddit, X, or financial news shows, the bears make their views known loud and clear.

But from where we sit, it’s obvious that they’re missing the forest for the trees. 

It’s like they’re looking at AI through a tiny keyhole, only able to glimpse views of today’s ChatGPT demos or some of the latest video generation tools. They see apps – novelties – and not the megatrend poised to reshape the entire geopolitical and economic world order.

In reality, the technological innovation unfolding in real time is quickly giving way to an entirely new operating system for civilization: Sovereign AI.

It’s AI that does more than write poems, recommend restaurants, code websites, or create PowerPoint presentations.

It’s AI for the nation-state; designed, built, and controlled by governments, for governments.

Imagine systems that model national economies, help defend borders, simulate military strategies, or plan cities with once-impossible speed and efficiency. Even on a local scale, as we’ve mentioned before, permits could be processed in minutes or potholes fixed before you know they exist.

This is the direction we’re heading, driven by necessity as nations wrestle with debt and deficits. And this trend is sparking an AI infrastructure supercycle. 

While consumer AI has seen its initial surge, sovereign AI is where the next trillion-dollar opportunities lie… 

Inside the Global Sovereign AI Gold Rush

At this moment, we are already seeing an avalanche of sovereign AI projects taking shape around the world.

Germany is building its first sovereign industrial AI cloud in partnership with Nvidia (NVDA) and Deutsche Telekom, complete with tens of thousands of Blackwell GPUs – AI factories to power Siemens, BMW, and other major German industrial names.

Meanwhile… France, Spain, Italy, and the U.K. are all signing up for their own sovereign AI clouds with Nvidia and local telcos. The U.K. alone just pledged £1 billion for public AI compute infrastructure.

China is pushing full steam ahead, creating its own models, chips, data centers, and software stack – because after the fallout of President Trump’s ‘Liberation Day’ tariffs, it knows it can’t trust U.S. tech suppliers when push comes to shove. 

Saudi Arabia and the United Arab Emirates are spending billions on infrastructure to build national AI capacity and diversify their economies beyond oil.

Japan has its AI Bridging Cloud Infrastructure (ABCI) project. India is rolling out BharatGPT and national AI safety frameworks. 

And in the good ole’ USA, we’ve got Stargate – OpenAI’s $500 billion mega-project to build AI supercomputing campuses, backed by the deepest pockets of American tech and government.

This marks a foundational shift in global governance. And the stakes are existential: nations that fail to lead in sovereign AI risk falling behind economically, militarily, and geopolitically…

Making the upside generational.

From GPU Glut to Sovereign Supercycle

The biggest, deepest-pocketed customers on Earth – national governments – are now spending tens of billions of dollars a year to develop this make-or-break tech.

• Nvidia says sovereign AI demand alone brought in about $10 billion in revenue in 2024.
• Bank of America (BAC) thinks sovereign AI could become a $50 billion-plus annual market, carving out a healthy chunk of the trillion-dollar AI infrastructure boom ahead.
• And global AI CapEx is forecasted to explode even higher: According to UBS, worldwide AI investment is projected to increase by 60% in 2025, reaching $360 billion, and then grow another 33% in 2026 to $480 billion

This is as if every country in the world decided they needed to build their own nuclear program at the same time. But instead of uranium, the fuel is GPUs, data centers, and massive AI models.

And all this sovereign AI spending has one very direct consequence: AI infrastructure stocks will remain in high demand for years to come.

The Infrastructure Stocks Buttressed by Sovereign AI

The sovereign AI rush all but guarantees that AI infrastructure – chips, servers, networking gear, foundry equipment, photonics, design software – will see unrelenting capital continue to pour in. 

That is great news for AI infrastructure stocks like: 

• Nvidia: The king of AI chips, supplying cutting-edge Blackwell GPUs that power sovereign AI clouds and industrial-scale model training globally.
• �������°� (�������°�): A rising challenger to Nvidia, offering MI300 accelerators and landing sovereign AI deals in the Middle East and Asia thanks to competitive performance and open ecosystem support.
• Broadcom (AVGO), Marvell (MRVL): Leaders in networking chips and custom silicon, providing critical infrastructure like ASICs, DPUs, and interconnects for sovereign data centers.
• Arista (ANET), Cisco (CSCO): Specialists in AI networking gear and routing, delivering the high-speed switching and architecture needed to link sovereign GPUs at scale.
• ASML (ASML), Taiwan Semiconductor (TSM), Lam Research (LRCX): The foundational trio of semiconductor manufacturing – ASML makes EUV lithography machines, TSMC manufactures chips, and Lam supplies wafer-fab tools.
• Synopsys (SNPS): The quiet force behind chip innovation, offering EDA software and IP used to design nearly every sovereign-grade AI processor.
• Coherent (COHR), Credo (CRDO): Leaders in optics and high-speed interconnects, enabling ultra-fast data movement inside next-gen AI data centers.

These companies are no longer dependent on the whims of some startup’s AI app or the ad budget of Big Tech. 

They’re now selling to governments – some of the most stable, insatiable customers on Earth.

Bottom Line: Sovereign AI Is More Than a Bubble – It’s a National Imperative

Here’s the reality…

The sovereign AI boom means the AI infrastructure rally isn’t some short-lived speculative mania. It’s a structural trend rewriting the rules of governance, security, and innovation in real time.

This will drive AI CapEx for years to come, supporting AI hardware stocks long after the early app fads fade. 

And it will make today’s so-called AI bubble look more like the start of the next industrial revolution.

Yes, this bubble will pop eventually. But for now? We’re not at the end; only the beginning.

Stay long and strong. The Sovereign AI gold rush is just getting started.

And at the heart of this gold rush? An emerging technology that could become mission-critical to every country’s effort to build nation-state AI. 

One company in particular seems poised to take the crown in this sector. And rumors of an announcement coming on July 21 could send its stock – and those of its lesser-known suppliers – to the moon.

Get the investment playbook for what CNBC reports could be the $25-trillion opportunity of a generation.

The post Sovereign AI Gold Rush: How Governments Are Fueling a Tech Supercycle appeared first on InvestorPlace.

This Week’s Ratings Changes:

Upgraded: Buy to Strong Buy

Downgraded: Strong Buy to Buy

Upgraded: Hold to Buy

Downgraded: Buy to Hold

Upgraded: Sell to Hold

Downgraded: Hold to Sell

Upgraded: Strong Sell to Sell

Downgraded: Sell to Strong Sell

To stay on top of my latest stock ratings, plug your holdings into Stock Grader, my proprietary stock screening tool. But, you must be a subscriber to one of my premium services. Or, if you are a member of one of my premium services, you can go here to get started.

Sincerely,

�������°�

Editor, Market 360

The post Weekly Stock Grader Analysis: Upgrades & Downgrades on Top Blue-Chip Stocks appeared first on InvestorPlace.

Last weekend saw a live robotaxi rollout from Tesla Inc. (TSLA) in Austin, Texas. This event marked a pivotal moment in the tech and transportation world.

But the autonomous vehicle (AV) story isn’t just about futuristic cars or convenience. It’s about a high-stakes battle between tech titans that could reshape global markets.

From AI-powered self-driving systems to trillion-dollar projections, the robotaxi revolution could offer early investors a front-row seat to generational wealth creation.

My InvestorPlace colleague �������°� is joining us today to share more about the AV revolution… and how AI is powering more than just vehicles.

Take it away, Louis…

If you’ve ever seen the original Total Recall film (the 1990 version with Arnold Schwarzenegger), you might remember the Johnny Cab.

This cab had a creepy little robot sitting in the front seat, cracking jokes while it drove Arnold through a futuristic city. No steering wheel. No driver. Just a talking machine on wheels.

Source: IMCDB

Back then, it felt like pure sci-fi. But now? That exact future just became a reality in Austin, Texas – and it could make early investors a fortune.

This week, Tesla Inc. (TSLA) officially launched its first live Robotaxi pilot using a fleet of modified Model Ys, priced at $4.20 a ride. Just like the Johnny Cab, these vehicles come with no pedals, no steering wheel and zero drivers behind the wheel. Just a safety monitor in the passenger seat… for now.

Let me be clear: This isn’t a concept or a prototype. It’s a live service with real passengers.

You may know that these autonomous ride services (aka robotaxis) have been around for a while.

In fact, the race to dominate the self-driving economy has been brewing for years. But make no mistake: This is the beginning of what I believe is the most important transportation shift since the invention of the internal combustion engine.

The Robotaxi Wars have officially begun.

So, today, I’ll show you who’s already in the fight, why this technology could upend entire industries and how investors can position themselves on the right side of this seismic shift.

Let’s dive in.

The Players in the Robotaxi Wars

Tesla may have fired the latest shot in the robotaxi wars, but it’s not the only contender. As I mentioned previously, this battle has been brewing for years. And the front lines are getting crowded…

Waymo

Alphabet Inc.’s (GOOG) self-driving division, Waymo, has been testing robotaxis for over a decade. It now operates thousands of rides each week in cities like San Francisco, Los Angeles, Phoenix and Austin. Just this month, it expanded service to Atlanta through a partnership with Uber, allowing users to hail Waymo vehicles directly from the Uber app.

Uber Technologies, Inc. (UBER)

Speaking of Uber, after selling off its self-driving unit in 2020, it’s now partnering with companies like Waymo and May Mobility to bring autonomous rides to market. But it hasn’t given up on leading the space… Starting next year, Uber will roll out its own autonomous service in Los Angeles using Volkswagen AG’s (VWAGY) ID.Buzz vans, built in partnership with Volkswagen.

Amazon.com Inc. (AMZN)

Amazon’s Zoox is building its own robotaxis from the ground up. The company recently opened a production facility in California and is targeting Las Vegas for its commercial launch later this year, with San Francisco and Miami in its sights.

Baidu, Inc. (BIDU)

China’s Baidu is the largest robotaxi operator in the world, and it’s about to get bigger. Baidu has its sights set on international expansion, starting with launching its Apollo Go platform in Singapore and Malaysia. I should note that Apollo Go has deployed 1,000 self-driving vehicles worldwide and has already logged over 11 million autonomous rides.

NVIDIA Corporation (NVDA)

And let’s not forget that NVIDIA continues to power the brains of the industry, supplying AI hardware and platforms for self-driving technology.

NVIDIA’s self-driving segment brought in $567 million last quarter – up 72% year-over-year. That’s small next to $44 billion in total revenue, but it’s one of their fastest-growing bets.

Longtime readers know that I’ve held NVIDIA for a long time and have no intentions to sell anytime soon. And this is a good reason why… Chances are good that whether a robotaxi is built by Tesla, Waymo, or Zoox – NVIDIA is still getting paid. As CEO Jensen Huang has been pointing out repeatedly, this will be one of the company’s biggest growth drivers in the coming years.

Each of these companies brings something different to the table. Waymo has the head start. Uber has the scale. Baidu has a lock on Asia. Zoox is building from scratch. The fight is on.

I do not know if Waymo (Google), Tesla or Uber/VW will win the autonomous taxi wars that are now unfolding. But I do know this: We’re heading toward a future where we’re no longer driving ourselves – just being transported from place to place in robotaxis as Elon Musk has envisioned.

In fact, McKinsey projects that the global robotaxi market could reach $2 trillion by 2030 – driven by rising demand for urban mobility, falling costs of autonomy, and the massive efficiency gains of driverless fleets.

This Is Just the Beginning

Some investors still think this is five or ten years out. But the rollout is already happening – and the pace is accelerating faster than most people realize.

And here’s the thing: Robotaxis are just one step.

What you’re seeing right now in Austin – and soon, in cities all across America – is just the first proof point of what’s coming, folks.

Cars are learning to drive themselves. Robots are learning to make real-world decisions.

AI is no longer just a buzzword. It’s no longer something that helps you write an email or summarize a book or even potentially replace search engines.

We’re talking about when AI enters the physical world. When it starts having tangible benefits for those who adopt it.

And those that don’t? Well, they get left behind.

But here’s the thing most investors are missing…

If you think the biggest opportunity is investing in Tesla or Waymo or Uber, you’re only seeing part of the picture. The real wealth creation is happening behind the scenes – where next-gen data, predictive tech and AI-powered decision tools are changing how markets move.

And that’s exactly where a new breakthrough from our partners at TradeSmith comes in.

They’ve just launched an AI-powered system designed to spot where the money is flowing – not after the fact, but in real time.

It’s called TradeSmithGPT. And instead of reading data and outputting text or an image, it spots patterns in 120 million market datapoints on more than 2,400 stocks.

It’s an AI-powered tool that’s built to cut through the noise and pinpoint the exact stocks poised to benefit from major market shifts. It’s so sophisticated on the back end that it looks like a high-powered “quant” algorithm used by a major hedge fund… yet it’s easy and intuitive for any investor to be able to use.

The best part? The folks at TradeSmith have opened up access to this powerful new tool.

You can learn all about TradeSmithGPT here.

Just know it’s only open for a limited time, so you won’t want to wait.

Sincerely,

�������°�

Editor, Market 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

NVIDIA Corporation (NVDA)

The post The Robotaxi Wars Just Escalated. And It’s Only the Beginning… appeared first on InvestorPlace.

In the early days of the Covid-era “everything bubble,” I wrote a recommendation I would rather forget: Nio Stock Isn’t the ‘Tesla of China’ After All. 

In it, I outlined why the Chinese electric vehicle (EV) startup faced “far stiffer competition than Tesla ever did,” and how it did not have the momentum to compete with the country’s 800-pound gorilla, BYD Co. Ltd. (BYDDF). The next trillion-dollar car company, this was not. 

The assessment proved correct… eventually. The EV startup has since lost 82% of its market value and remains a relatively small player in a crowded, cut-throat market. Analysts are forecasting steep losses until at least 2028 as dozens of rivals jockey for market share.  

Still, I would rather forget that recommendation because the timing was so awful. Here’s what happened in the months after that call… 

Five months too early 

So, I was forced to reconsider my strategy. How should a long-term investor think about short-term market moves? After all, even investors with multi-year time horizons still exist in a world divided by days and months. 

The answer came at first with quantitative methods, and then with artificial intelligence. These increasingly complex systems were designed to sniff out moves in the market and predict the most likely moments for breakouts to happen. 

These systems have only gotten better with time. One of my five Moonshot Stocks for 2025 has already returned 95% (and none has lost more than 25%). And several recent picks are already up double digits despite earnings season still being a month away. 

And now, we’re making our corporate partner TradeSmith’s most powerful AI system available to you. 

Over the past several weeks, you’ve heard me talk about TradeSmithGPT, a powerful AI system that identifies the exact “profit window” for a trade. It’s so good that even �������°� admits that it beats 99% of investors. In fact, many of these AI-chosen companies I’ve talked about are already off to strong starts. e.l.f. Beauty Inc. (ELF) has gained 5% in less than a week while Robinhood Markets Inc. (HOOD) has gained 6%. 

What makes this system even better is that it can help recommend options to profit from these trades. Investors who bought July 18 call options on HOOD with $80 strike prices, for instance, would have seen their 6% profit turn into a 102% gain. 

During a special event on Wednesday, TradeSmith CEO Keith Kaplan outlined exactly what TradeSmithGPT is and how it can help the everyday investor make huge gains in a matter of weeks instead of years. Keith believes this is the number-one strategy investors need to use if they want profit in this chaotic market. (If you missed the event, you can watch the replay here.)   

So, in today’s Digest, I’d like to share three companies TradeSmithGPT is recommending.  

The Beauty Queen 

Shares of Estee Lauder Companies Inc. (EL) have recovered sharply since Amercian-Chinese relations began thawing in May. The cosmetics firm generates a third of revenues from the Asia-Pacific region, and China makes up a significant portion of its highest-margin business. 

TradeSmithGPT recommends investors buy calls on this promising rebound. The company entered its quantitative “green zone” last week, a historic sign that shares are ready to break back upwards, and call options are a leveraged way to gain even more exposure. 

Estee Launder enters the green zone  

The fundamentals back this up. Estee has spent decades earning a preferred vendor status among brick-and-mortar retailers. It’s also invested heavily in a large portfolio of brands that include La Mer, Clinique, Origins, M.A.C., Aveda, and more. That’s turned EL into the largest firm in the “prestige skin care” market as well as in premium makeup. Profit margins are expected to rebound from 3% this year to a more historically average level of 7% by 2027 as Asia-Pacific demand picks back up. Shares are roughly 30% undervalued given current estimates. 

That makes TradeSmithGPT’s predictions so compelling. The system believes shares should rise to $85 in the next 30 days, giving certain call options as much as a 110% upside. Not bad for a typically conservative stock! 

An AI Superstar 

Micron Technology Inc. (MU) reported a stunning set of earnings on July 25. Revenues rose 36% to $9.3 billion, beating Wall Street forecasts by 5%, while earnings per share tripled to $1.91, blowing expectations out of the water. Analysts have scrambled to raise their earnings estimates as a result. 

Results like these should ordinarily trigger a multi-digit increase in share prices. Earnings, after all, is what makes a stock valuable; more of it should mean higher prices. 

Yet, Micron’s shares fell 6% in the days following this announcement. 

However, TradeSmithGPT believes that’s a gross miscalculation on Wall Street’s part. The system projects a 12% upside, and suggests investors sell puts to earn some premium while shares catch up.  

Once again, the fundamentals support this view. Micron’s fiscal third-quarter earnings were powered by insatiable demand for artificial intelligence chips. Sales of its High Bandwidth Memory (HBM) surged 50% sequentially for the second-straight quarter, and analysts believe that AI-focused segment now makes up 20% of total sales. Micron appears on track to achieve its goal of 20% market share in HBM by next quarter. 

The business outlook additionally support another two to three years of a cyclical upswing. Nvidia Corp. (NVDA) only released its most recent Blackwell chips in the fourth quarter of 2024, and manufacturing bottlenecks means we should see continuous, growing demand going through at least 2026. It’s also worthwhile to note that DRAM memory is seeing an upswing in demand, offsetting a 20% volume decline in the NAND market. Micron is the third-largest player in DRAM and fifth-largest in NAND. 

The cycle will eventually turn back negative, as it has in the past. But the puts would have expired long before that point. 

Gene Editing Buyouts 

Finally, shares of gene-editing companies rose this week after Mounjaro developer Eli Lilly & Co. (LLY) acquired Verve Therapeutics for $1.3 billion. Suddenly, every gene editing firm has become a buyout target. 

There’s a good reason for Lilly’s acquisition. Over the past several months, the head of the Department of Health and Human Services, Robert Kennedy Jr., has moved to de-emphasize vaccines. On June 9, he dismissed the entire 17-member Advisory Committee on Immunization Practices and replaced them with several vaccine skeptics. The committee has already made its mark by advising on Thursday that multi-dose flu vaccines should not be used. 

Drugmakers have rightly become concerned. Many have invested heavily in immuno-oncology (i.e., cancer vaccines), and recent appointments within the HHS suggests that approvals for these therapies will be far harder to gain than expected. Drugs that are approved may face issues with reimbursements.  

Gene editing offers a potential way out. Not only has RFK Jr. previously voiced support for “regulatory flexibility” with the technology, but he’s also invested in at least one firm. 

That’s why Crispr Therapeutics AG (CRSP) is such an interesting play. 

Crispr is one of the earliest movers in Crispr/Cas9-based therapeutics. It has six separate drugs in clinical trials, and another four in preclinical trials. Several have shown promising Phase 1 data. 

The company is also seeing a strong rollout of CASGEVY, its one-time therapy to treat sickle cell disease. Its distributor, Vertex Pharmaceutical, recently raised its guidance thanks to better-than-expected uptake in the drug. 

That bodes well for shares, which TradeSmithGPT sees as undervalued. The AI system estimates that the stock could rise 7% to $50.81 within 30 days, giving some call options triple-digit upside. 

Though early-stage biotechs will always have a large element of risk, TradeSmithGPT thinks this bet is one worth taking. 

Picking the Right Options 

Options have long scared many investors. Not only do people need to get the direction of the stock correct (an already difficult task). They also need to know how much the stocks will rise or fall. 

In other words, if a trader buys options on a $100 stock thinking it would rise to $150, he could still lose money if the stock “only” rises to $140. 

Yet, the payoffs can be vast. Options can turn small gains into large ones – such as a 6% profit in Robinhood into a 102% gain – or large ones into generational wealth. Certain call options on Nvidia that expired last week did so after gaining 30X in less than a week. 

That’s why I strongly encourage you to watch Keith’s presentation on TradeSmithGPT. In it, he will explain how the system chooses its most promising stocks to buy, and how it then decides which options have the best chances of generating payoffs. 

But don’t wait long. During the event, Keith detailed three brand-new opportunities identified by TradeSmithGPT that investors need to act on before next Tuesday, July 1. This will also be your very last chance to watch the replay. Click here so you don’t miss it. You won’t want to miss what Keith has to say.

Until next week, 

Tom Yeung 

Market Analyst, InvestorPlace 

Thomas Yeung is a market analyst and portfolio manager of the Omnia Portfolio, the highest-tier subscription at InvestorPlace. He is the former editor of Tom Yeung’s Profit & Protection, a free e-letter about investing to profit in good times and protecting gains during the bad.

The post How TradeSmithGPT Can Turn Good Calls Into Great Ones  appeared first on InvestorPlace.

He was one of the greatest innovators of our time, guiding Apple (AAPL) to become one of the most profitable companies of the century.

But what if I told you there’s a Steve Jobs story you’ve never heard – one that might be his most ambitious dream of all? 

It was a vision so daring that it aimed not just to sell a new product but transform America itself; bring back prosperity, rebuild forgotten towns, and free the country from its dependence on foreign factories.

We’re talking about an aspiration with economy-transforming potential…

Steve Jobs’ Hidden Dream: Advanced Manufacturing at Home

In the late 1980s and early ’90s, while other CEOs were shipping jobs overseas, Jobs was deeply worried. 

He saw that America’s industrial heart was being hollowed out; that the knowledge of how to make things was leaving our shores. And he knew that, once gone, it might never come back.

For Jobs, manufacturing wasn’t just about assembly lines. It was about innovation. When a nation stops building, it stops inventing. It becomes dependent; vulnerable. And that terrified him.

So, the Apple co-founder hatched a plan. He called it his next revolution: a vision for advanced factories where human and robot workers create the future together, right here in America. He dreamed of high-paying jobs, revitalized Rust Belt towns, and a nation in control of its destiny once again.

In 1990, Jobs built a prototype factory in California. The idea? Use cutting-edge automation to make American workers so productive they could outcompete cheap overseas labor. Robots would handle the repetitive work while people run the show. It was genius.

Except the world wasn’t quite ready for this idea to be realized. The tech wasn’t there. The economics didn’t pencil out. And when Jobs passed in 2011, many thought his most audacious dream died with him…

But it didn’t.

It’s being brought to life right now, powered by technologies Jobs could only imagine during his lifetime – and driven by the one entrepreneur bold and dedicated enough to finish what he started: Elon Musk.

Elon Musk’s Optimus Steps In With Robots That See, Think, and Build

The man who made electric cars sexy, privatized space travel, and wants to put chips in your brain has taken up Jobs’ mantle – and he’s supercharging it.

Where Jobs had clunky robots and primitive AI, Musk has Tesla’s (TSLA) Optimus: a humanoid robot that can see, think, and move with uncanny precision. Thanks to advances in AI, sensors, and materials science, Musk has cracked the code Jobs never could.

Tesla’s gigafactories already have these robots at work, carrying parts, assembling components, and charging themselves when needed. 

And these aren’t million-dollar prototypes. Musk says they’ll cost under $20,000 apiece. That’s less than what some companies pay per year for offshore labor.

Optimus does what Jobs dreamed of: makes reshoring not just patriotic but profitable.

Robot Reshoring: Productivity, Prosperity, and New High-Wage Jobs

In our view, this robot is a game-changer – one that could end the era of offshoring and bring manufacturing roaring back to American soil.

Imagine factories where robots do the grunt work – tirelessly, flawlessly, 24/7 – while human workers move into high-skill, high-pay roles like programming, supervising, and maintaining. 

Imagine the Rust Belt reborn, with jobs flooding back and towns revitalized.

Today, it’s more than a fantasy. It’s the plan. 

And the economics are undeniable… because when a robot costs less than a single offshore worker, works all day and night, and produces zero defects, why keep factories overseas? 

Optimus is actively rewriting the logic behind global supply chains. It’s no wonder politicians of all stripes are drooling over it. 

Trump’s “America First” vision now seems more like an inevitability. And this isn’t just about replacing jobs. It’s about transforming them. 

History shows that automation often creates more jobs. For example, when ATMs launched in the 1970s, experts worried they would eliminate bank-teller roles. But that didn’t happen. Instead, as automation lowered the cost of running branches, banks opened more of them – and teller employment rose from around 300,000 in 1970 to 600,000 by 2010.

Economists call this a “compensation effect.” Automation reduces unit costs, spurring demand for services and supporting new roles – especially those involving human interaction and problem-solving.

That’s why we expect that for every fleet of robots, we’ll need several human workers to program, maintain, and supervise them. And beyond that, there should be a ripple effect for component suppliers, software developers, infrastructure workers, and more.

In other words, as Tesla’s Optimus scales, we’re likely to see growing innovation hubs, supplier networks, and regional career ecosystems, rekindling the kind of job-rich rebounds seen in past industrial shifts.

Finding Tomorrow’s Winning Tech Firms In the Optimus Supply Chain

Still skeptical? Let’s talk numbers:

• Tesla has already begun deploying Optimus internally.
• Elon Musk has said Tesla expects to have “thousands” of Optimus robots working in its factories by the end of 2025, and later mentioned a target of 5,000 units, with parts capacity reaching 10,000- to 12,000 robots.
• Production could scale quite quickly after that, so long as the company doesn’t encounter too many headwinds with sourcing necessary materials.
• As such, Tesla’s market cap, fueled by Optimus, could rise from $1 trillion today to $25 trillion by 2030. Now, that may be partly wishful thinking – but it is also Musk’s roadmap, and Wall Street is starting to take notice.

And it’s not just Tesla that wins if that’s the case. 

Every revolution has its ecosystem. Just as the iPhone created fortunes for component suppliers like Skyworks (SWKS) and Cirrus Logic (CRUS), Optimus will likely mint new industrial titans as demand for chipmakers, sensor suppliers, actuator specialists, and materials innovators takes off.

Indeed, since Optimus isn’t built from off-the-shelf parts, Tesla is creating an entirely new supply chain, from neural vision chips to exoskeleton materials. That means dozens of small, specialist companies are about to go from obscure to essential.

They’ll be supplying the eyes, brains, muscles, and bones of the robot revolution. And they could see 10X, 20X, even 50X growth as a result.

Think about that potential. If you’d known Apple’s supplier list before the iPhone launched, how rich would you be today? 

That’s the opportunity on the table right now – if you act before Musk starts naming names as Optimus production scales up. 

The Robot Revolution Is Real – Will You Watch or Profit?

Why now? 

Because we think the stars have finally aligned:

We have technological readiness. AI, robotics, and materials science have advanced to the point where humanoids are viable tools.

There’s political will, too. We have bipartisan hunger for reshoring, with Optimus seemingly offering the ultimate solution.

And there is economic necessity. The COVID-19 pandemic exposed the fragility of global supply chains. Now both companies and governments want control back.

Folks, we may actually be living through the opening chapter of a story that will be told for generations. 

Jobs dreamed it. Musk is building it. And for those with the foresight to act now, the potential rewards could be enormous.

This isn’t just a product cycle or even the birth of a new industry. It’s the dawn of a new era – one where America reclaims its industrial might, powered by intelligent robots that work alongside us.

Optimus is already here. The only question is: will you watch this revolution unfold from the sidelines… or will you be part of it, profiting along the way?

Learn about the small suppliers that we think have the biggest potential amid the rise of the robots.

The post Steve Jobs, Elon Musk, and the Most Lucrative Invention of the Century appeared first on InvestorPlace.

Almost three years later, billion-dollar hedge funds are now pouring fortunes into AI systems that can spot market opportunities faster and more accurately than any human trader.

The good news, though, is that that kind of power is no longer reserved for the financial elite.

This week, I introduced you to TradeSmithGPT – a revolutionary AI-powered trading system that I believe could change the game for everyday investors.

Built by our partners over at Tradesmith, this tool helps everyday investors harness the same edge as Wall Street’s top firms. And it is already identifying trades with triple-digit potential.

You can watch a replay of how this tool works – and how you can access it – here.

And you’ll want to be sure to check out that demo now, as it is only available for a limited time.

Today, Tradesmith CEO Keith Kaplan is joining us to explain how you can use TradesmithGPT immediately to improve your returns.

It started with a challenge…  

As CEO of TradeSmith, I have a team of top data scientists, programmers, and quant investors. 

We pride ourselves as being on the cutting edge. 

And this year, we’ve launched a few new strategies designed to help you trade what’s become an increasingly chaotic market environment. 

These include a seasonality screener, a tool that identifies snapback rallies, and more. 

They’ve all been huge successes in delivering outsized returns for our members. 

But I wanted to go one step further.  

So, I asked: Can we harness the same type of artificial intelligence technology Wall Street uses – and make it available to everyday investors? 

After tens of millions of dollars and hundreds of thousands of man-hours, the answer is a resounding “Yes!” 

As I revealed during a live demo on Wednesday, an AI project we’ve been quietly building is now finally ready for action. 

We call it TradeSmithGPT. 

It works 24 hours a day, seven days a week, 365 days a year – analyzing opportunities across nearly 2,000 stocks in any sector you can imagine. 

And in our backtests, it’s given opportunities to collect four, eight, even nine years of average stock market gains in a matter of weeks. 

Today, I’ll show you how this works, how it could completely change the way you build wealth in 2025 and beyond, and how it could help you outperform even the pros. 

First, it’s important you know how critical it for us as self-directed investors to put AI on our side. 

As you’ll see, TradeSmithGPT isn’t just about boosting our returns. It’s about making sure we don’t get left behind in a world-changing “arms race.” 

No Room for Complacency 

You won’t hear much about it in the press. It’s too busy reporting on the food fight on Capitol Hill and the latest social media scandal. 

But there’s a frantic “arms race” on Wall Street right now. 

The world’s wealthiest and most sophisticated investors are racing to build ever more advanced AI systems — squeezing bigger profits from the market… often at your expense. 

This really caught my attention back in 2022 when Ken Griffin’s storied Citadel hedge fund hauled $16 billion out of the markets in 12 months mostly by automated trading.  

That’s $9.8 million for every hour the stock market was open – more than most folks make in a lifetime. 

But the AI arms race has accelerated at a pace even I didn’t see coming. 

Here’s just a small sample of recent developments… 

• Steven Cohen’s Point72 Asset Management’s new AI-focused fund posted a 14% gain just three months after launching last October. That’s more than twice the 6.2% gain for the tech-heavy Nasdaq over the same time.  
• Paul Marshall and Ian Wace’s AI-powered Trade Optimized Portfolio System (TOPS) synthesizes thousands of trade ideas – as well as data from social media – to find winners. This strategy netted 22.7% last year and a further 7.1% in 2025.  
• Melvin Capital delivered a staggering 44% return in 2019 and 30% annualized return from 2014 to 2020 by blending human insight with proprietary AI systems. 

It’s not just hedge funds that are turning to AI. Earlier this month, The Wall Street Journal reported that automated portfolios – many driven by algorithmic and AI-based strategies – now manage nearly $8 trillion. And more than eight in 10 fee-based advisers now use these portfolios for at least some client money. 

AI isn’t hype. It’s reshaping how money gets managed on a gargantuan scale. And as individual investors, we can’t sit pat. And we can’t be complacent. 

Griffin, Cohen, and the other “masters of the universe” on Wall Street aren’t flocking to AI for no reason. They know it’s better than human traders at spotting profitable market setups. And they’re practically tripping over their Gucci loafers to get a leg up on the competition. 

And this shift toward AI by deep-pocketed money managers is happening right when the gains from buy-and-hold investing are becoming more difficult to find. 

Volatility Is the New Name of the Game  

I probably don’t need to tell you. But April was the craziest month for markets since the pandemic crash of 2020. 

The S&P 500 plunged 11% over just two trading days. 

That wiped out $6.6 trillion in stock market value.  

A couple days later, we got a one-day rally of 9%. 

And Wall Street’s “fear gauge,” the VIX, exploded to rare heights… 

On April 8, the VIX closed above 50. We’ve only seen this level or higher in 2008, 2009, and 2020. 

This isn’t your grandfather’s stock market…. or your father’s. When markets can move that much – often on as little as a social media post – you’re dealing with a new kind of market entirely. 

And with geopolitical conflict rising around the world… the pace of technological progress upending entire industries… and intense political battles playing out across America, we can expect more intense volatility ahead. 

Add in the widespread adoption of AI on Wall Street, and the rules of investing and trading are about to be rewritten. 

But there’s hope. 

Thanks to the breakthrough my team and I have made, these powerful trading tools are no longer locked away inside billion-dollar quant funds. 

Invest Alongside AI, Not Against It 

According to a report from the SEC, hedge funds deploying AI-driven trading strategies outperformed their peers by an average of 12%.  

TradeSmithGPT can do better. 

In our backtesting, it identified setups with potential gains as high as 776%. 

Of course, that’s just one example. 

In backetesting, it also flagged… 

• A 153% win on Spotify (SPOT)… 
• A 172% win on Eli Lilly (LLY)… 
• And a 339% gain on Taiwan Semiconductor Manufacturing (TSM). 

All in a matter of days. 

Now, not every trade will be a winner. So, you should never invest more money than you can afford to lose. 

But if you want to invest alongside AI like the top players on Wall Street, this new software is something you’ll want to have on your radar. 

In my live demo of TradeSmithGPT, I revealed exactly what this new breakthrough AI software is, how it works, and why it will be critical to your success in the markets throughout 2025. 

If you missed the action, don’t worry. You can view the replay here – but only for a limited time. 

And by acting now, you’ll be ready to seize three new opportunities TradeSmithGPT just flagged… which will drop on Tuesday, July 1.  

But as I said, the replay is only around for so long. After July 1, I can’t promise you’ll ever see it again.  

Go here now – and you’ll have three fresh trade opportunities ready for you on Tuesday.  

Sincerely, 

Keith Kaplan 

CEO, TradeSmith 

The post AI vs. Wall Street: The Power Is Now in Your Hands appeared first on InvestorPlace.

I remember being nine years old, sitting cross-legged on the floor, watching the Dallas Cowboys battle the Pittsburgh Steelers in Super Bowl X.

Growing up in Texas, I was a huge Dallas Cowboys fan. I had shirts, hats, and bedsheets that were plastered with the team’s name and logo.

At a key point in the game, the Cowboys had the ball on fourth down and short. I pleaded with the television (We may have still only had a black-and-white TV), “Go for it! Go for it!”

But they didn’t. They punted. That’s what every team did back then.

The announcers agreed saying that it was too risky. Looking back, those choices about risk were driven by tradition, fear of failure, and fear of criticism. Coaches made decisions with their guts, not with data.

Today, everything is different. With advanced analytics, teams can analyze years of game data to more accurately predict when the odds favor going for it on fourth down.

The networks broadcasting the games now even show a graphic that will say something such as “Fourth and 4 or less: Go.”

It’s a much smarter way to play.

In the most recent Super Bowl, both teams tried to convert a fourth down – neither attempt was successful. But in the previous year, both teams tried to convert a fourth down and both attempts were successful.

Now, nobody’s perfect. Sometimes the play doesn’t work. But these days, the decisions are made based on the numbers, and that promises better decisions—more points and, ultimately, more wins.

What if you could make your trading decisions with that same degree of confidence? Imagine if you could manage your portfolio with the same level of statistical rigor as an NFL coach.

That’s where a new tool from our corporate partners at TradeSmith can help.

From Gut Decisions to Data-driven Results

This new, AI-based trading tool – TradeSmithGPT – crunches numbers, cutting through emotion, tradition, and guesswork. It scans the market for high-probability trades, helping you spot the best opportunities to act with confidence. Not every trade wins—but like that fourth-down call, the odds are finally on your side.

In the past, farmers and sailors predicted weather by watching clouds, reading barometers, or listening to old proverbs like “red sky at morning, sailors take warning.”

Now, meteorologists have access to a ton of data that includes satellite imagery, radar data, and machine learning models to predict storms with incredible accuracy. It’s not perfect, but it’s much better.

Doctors used to rely on experience and instinct to treat patients. If you had a cough, or a fever or a rash, the doctor recalled past similar situations to make a diagnosis and a decision on treatment.

Now, doctors can use advanced diagnostic tools and algorithms to analyze thousands of variables, such as genetics, biomarkers, and imaging data. With all the tools to analyze this data, doctors can make treatment recommendations with a higher rate of success.

Investors too often still trade based on news cycles, or whatever their neighbor tells them is “hot” in the market. It’s the equivalent of looking at clouds to develop a weather forecast. Maybe you’re right, but you’re just as likely wrong.

As computers grow more powerful and artificial intelligence continues to evolve, you can improve your trading by tapping into cutting-edge tech. Algorithmic portfolio management, predictive analytics, and advanced screeners are just some of the tools available now.

These new tools aren’t meant to replace human decision-making, but to improve it. These tools help investors spot opportunities as they emerge, anticipate risks before they hit, and act with greater confidence and precision.

Keith Kaplan, the CEO of TradeSmith, has developed some of the most advanced software tools available to self-directed investors. His team has spent more than $20 million and thousands of man hours developing sophisticated financial innovations specifically for retail investors.

Keith believes nothing he has worked on comes close to this new AI-powered trading tool that he debuted this week – TradeSmithGPT. Here is how he describes it:

You can use it to pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day.

And the results are stunning…

In back-tests, it’s identified profit windows in which stocks surged so fast, it was like compressing four, eight, even nine, years of market gains into just a few weeks.

The Analytics Advantage in Your Portfolio

Think of it just like the network analytics on your TV screen that read: “Fourth and 3 or less: Go”, or the weather forecaster who says, “There’s an 80% chance of rain tomorrow.”

No one has a crystal ball that can guarantee success every time. But when you harness the power of statistical probability, the odds are on your side.

It’s far easier to see this tool in action than describe it. That’s why Keith provided a live demonstration this past Wednesday. You can catch a free replay for a limited time by clicking here.

Here’s how Keith suggests we think of it:

It’s like working alongside a veteran trader with a photographic memory and genius-level pattern recognition skills who’s watched every market pattern unfold for seven years…

Someone who can tell you: “I’ve seen this setup 1,000 times before. Here’s what usually happens next.”

Except our system can process vastly more data than any human trader ever could.

To give you a sense for just how powerful and profitable this tool can be, in backtests, the system flagged gains of…

• 89% in 1 day…
• 153% in 18 days…
• 339% in 18 days…
• 432% in 5 days…
• Even 776% in 17 days.

Keith provided all the details last Wednesday. The free replay will only be up for a limited time, so click here to put the odds on your side.

I’m not the football fanatic I was when I was nine, but you can probably tell that Dallas’ loss that year still stings.

Maybe if they had today’s analytics, they would have made a different decision, and the outcome might have been on their favor.

You can put the odds in your favor with TradeSmithGPT.

Click here now – before it disappears – and learn how to make smarter, data-driven trades today.

Enjoy your weekend,

Luis Hernandez

Editor in Chief, InvestorPlace

The post What the NFL Teaches �������°� Managing Portfolio Risk appeared first on InvestorPlace.

Despite escalating noise out of the Middle East and some ugly economic data, stocks held steady. And all the while, the smart money kept pouring into artificial intelligence.

We’re entering the second half of 2025 with an enormous tailwind behind us — and AI is driving it. 

But there’s also a huge problem. 

So many investors are fixated on the wrong thing; they’re focused on saber-rattling between the U.S. and Iran, on soft retail numbers, on homebuilder pessimism. All these are distractions from the real opportunities brewing beneath the surface. 

Of course, parsing noise from signal is no easy job. At times, it seems like tracking down a criminal in the Miami heat or on the Baskerville moors may be an easier task than cracking the case of the stock market.

But all you really have to do is follow the money. For example: 

• Amazon’s (AMZN) throwing $13 billion into AI data centers in Australia. 
• Meta (META) is poaching top AI talent and tossing around $100 million signing bonuses. 
• SoftBank (SFTBY) wants to build a $1 trillion AI complex in Arizona. 
• Microsoft (MSFT) is pushing Sovereign AI to governments. 
• And Adobe’s (ADBE) got a tool to protect brand identity in an AI-dominated web. 

When markets keep rising in the face of chaos, it’s not a sign of delusion — it’s a signal of strength. 

Geopolitics? Recession Fears? AI Doesn’t Care

As of this writing, the S&P 500 was on track to close out the week at a new record high, its first since February. The Nasdaq Composite was approaching its own record close, and the Dow Jones had added 0.7%.

This furious rally shows that investors are focused. They’re thinking long-term, betting big on what comes next and filtering out the noise.

So, I’m staying long. I’m staying bullish. And I’m preparing to buy any dip that AI-fueled fear might hand us… 

Because even while geopolitical and inflationary risks loom, the next wave of wealth creation is already underway.

We saw it in action just in the last week. 

I’ll break it down for you. 

Even When the Data Gets Ugly, AI Stocks Keep Surging

Early in the week, stocks surged as fears around Israel-Iran tensions eased; Iran signaled interest in deescalation and nuclear talks. 

Meanwhile, AI stocks led the rally: our proprietary AI Appliers 15 Index rose 2.5%, while our AI Builders 15 Index jumped nearly 4%.

Then, economic data disappointed: May retail sales were down 0.9%, and homebuilder sentiment hit its third-lowest level in a decade. But AI momentum continued with OpenAI’s $200M Pentagon deal, SoftBank’s $5B AI fundraise, and Meta’s AI ad tools.

After that, geopolitical noise intensified. Yet even still, AI advances continued: Marvell’s (MRVL) 2nm SRAM tech, Meta’s $100M AI hiring spree, Amazon’s workforce shrinkage.

Finally, even as the S&P consolidated after a solid run, AI headlines dominated: SoftBank explored $1T AI campus in Arizona; Meta tried to buy Safe Superintelligence.

I really could go on. And on. And on. 

The message here is just as clear as it was when we talked last week: AI is the one true signal. 

And despite the immense number of distractions stacking up against us, we’ve got to put our blinders on and go full bloodhound when it comes to tracking down the opportunities everyone else is ignoring. 

But sometimes, it’s not always as obvious as investing in AI stocks – that’s a given. We’ve talked about how promising Arista Networks (ANET), Broadcom (AVGO), and even Astera Labs (ALAB) are before. 

Instead, it’s about investing with AI… 

AI Has Transformed Everything Else – Why Not Trading?

It’s true; we trust AI with our health, the weather, and critical historical discoveries. Just look at what AI has helped do in the past few years…

• Decoded a 2,000-year-old scroll buried in volcanic ash. Using machine learning and X-ray scanning, researchers trained an AI to “read” carbonized papyrus scrolls destroyed in the volcanic eruption that buried Pompeii. Human eyes couldn’t interpret them, but AI saw patterns in the ink invisible to us. Ancient text, resurrected from ash.
• Discovered a brand-new antibiotic. In 2020, researchers at MIT used an AI system to scan more than 100 million chemical compounds – and they found a new, highly effective antibiotic called Halicin. It works on drug-resistant bacteria. 
• Transformed cancer detection. AI systems can now spot early stage cancers (like breast or lung cancer) with greater accuracy than expert radiologists, finding subtle patterns in scans and biopsies that human eyes often miss. In some trials, it reduces false positives and saves lives.
• Predicted extreme weather better than government forecasters. A Google DeepMind model recently beat the U.S. National Weather Service in short-term storm forecasting. It can predict rainfall and dangerous weather hours in advance with unprecedented precision – a game-changer for everything from farming to hurricane evacuations.

So, the obvious question is… why not trust it with our investing?

The AI Trading Tool That’s Delivering Eye-Popping Gains

I’m not saying to remove yourself from the equation and let a robot make all your decisions for you. But what I am saying is that the positive evidence for AI-based tools is mounting.

Just look at what my colleagues over at our corporate partner, TradeSmith, are doing: They just dropped the brand-new TradeSmithGPT, an AI-supercharged tool that is adept at uncovering hidden opportunities in the market.

In backtesting, TradeSmithGPT uncovered returns like:

• 102% in seven days from RingCentral (RNG)…  
• 103% in two days from EPAM Systems (EPAM)…  
• 474% in 18 days from United Airlines (UAL)…  
• 412% in four days from Cornell Inc…  
• And 776% in 17 days from GoDaddy (GDDY).

These opportunities were only possible through TradeSmithGPT’s ultra-powerful artificial intelligence core – one that TradeSmith’s software developers have spent years building and fine-tuning. 

TradeSmithGPT not only identifies the ideal profit windows for nearly 2,000 stocks, but it handpicks which type of trade you can execute to see the biggest possible gains. 

But don’t just take my word for it; I encourage you to see TradeSmithGPT in action. 

TradeSmith’s CEO, Keith Kaplan, recorded an eye-opening live demonstration of TradeSmithGPT just the other day – you can catch it here. 

Plus, Keith shared that TradeSmithGPT flagged three brand-new opportunities that are ready to be booked on Tuesday, July 1. 

So, you don’t have much time to act. If you want to get serious about your trading – alongside your own “detective work” for new opportunities – see how this next-level AI can help you stay ahead of the curve.

The post Wall Street’s Next Great Shift: From AI Stocks to AI Trading appeared first on InvestorPlace.

It hit the panic button.

The trigger? A flurry of headlines out of China hyping a new AI project called DeepSeek.

A week earlier, DeepSeek released a new AI model called R1, claiming it to be on par with OpenAI’s o1-mini model for ChatGPT. It utilized inferior NVIDIA Corporation (NVDA) chips, called H800s, that were compliant with the export bans to China.

Adding insult to injury, the company claimed it was built in about two months and cost just $5.6 million to train.

After grabbing headlines around the world, DeepSeek temporarily claimed the number-one spot for downloaded apps on the Apple Inc. (AAPL) App Store.

On January 28, NVIDIA’s stock fell off a cliff – by 17% in one day to be exact.

Nearly $600 billion in market cap vanished. Just like that.

It would be the single largest drop in market cap in Wall Street’s history.

But the bloodbath didn’t end there. The stock went on to drop further, wiping out about a third of the company’s value.

Wall Street Panicked – I Didn’t

The media rushed to call it a threat to U.S. chip dominance. But I told readers at the time that this wasn’t a real challenge to NVIDIA’s leadership. Not only was I skeptical about DeepSeek’s claims (there was a very real possibility this was a propaganda stunt). But if anything, this would lead to more demand for NVIDIA’s chips, not less.

Then came round two – this time on April 20.

That’s when President Trump made the Liberation Day tariff announcement.

As rumors swirled about President Trump slapping new tariffs on Chinese tech and restricting AI chip exports, traders got jittery again. More volatility. More headlines.

Eventually, the stock would bottom out just below $95 – a total drawdown of nearly 40% from NVIDIA’s previous highs.

For some, it was too much to bear. But, again, I stayed calm and urged restraint. I explained why these policies wouldn’t hurt the AI leaders here in the U.S. I explained how the end goal was more trade, not less. And fairer trade, where U.S. companies were on a more level playing field with their foreign counterparts.

And now? NVIDIA is not only back – it’s back on top.

Since bottoming out in early April, the stock has surged by more than 65% to hit new all-time highs and become the most valuable company on the market.

All in less than three months.

How I Nailed My Call on NVIDIA

While everybody was panicking about DeepSeek and tariffs, NVIDIA was cutting deals and setting the stage for the next wave of the AI Revolution.

In May, NVIDIA CEO Jensen Huang joined President Trump on a tour of the Middle East. The highlight? NVIDIA announced plans to sell over 18,000 Blackwell chips to Saudi Arabia’s state-backed AI firm, HUMAIN. These chips will power an entire national AI cloud. And the UAE is expected to follow with similar partnerships.

I covered these developments in Market 360 on May 23, close to NVIDA’s bottom. In that same issue, here’s what I told readers:

If you’ve been a longtime reader of mine, you know NVIDIA has been and continues to be the shining star. I’ve gone on record saying it is the “stock of the decade,” and I stand by that. It remains far and away the leader of the AI Revolution.

And it clearly shows no signs of slowing down, either.

Turns out, that call was pretty spot on. If you look at the chart above, you can clearly see it was up, up and away from there.

The reality is that my commitment to NVIDIA never wavered. In fact, I repeatedly told my premium readers it was a “screaming buy.”

So, what happened? Did I just get lucky?

Far from it. I called NVIDIA’s rebound because I’ve seen this movie before.

As I’ve said many times before, Wall Street is a manic crowd that likes to panic first and think later. Because, as it turns out, the growth runway for NVIDIA is still incredibly long.

NVIDIA Is Thinking Beyond Chips

See, NVIDIA is turning into a lot more than just an AI chipmaker.

It’s the platform – the foundation layer for the entire AI economy.

Consider what Huang told shareholders at the company’s 2025 annual meeting just this week:

“We’ve stopped thinking of ourselves as a chip company,” Huang said. “We’re working towards a day where there will be billions of robots, hundreds of millions of autonomous vehicles, and hundreds of thousands of robotic factories that can be powered by NVIDIA technology.”

To back that up, NVIDIA disclosed at the same meeting that GPU sales have surged to $130.5 billion in the past year – up from just $27 billion in fiscal year 2023.

And while that’s impressive, Huang made clear that chips are just one piece of the puzzle. It’s AI and robotics that now represent the company’s two largest multi-trillion-dollar opportunities.

And here’s the thing. Robotics is about much more than humanoid robots (although that’s coming, too.)

Think of it in terms of AI exploding into the real world.

The Physical AI Boom Is Here

For example, in yesterday’s Market 360, I wrote about the launch of Tesla Inc.’s (TSLA) first live robotaxi service – and how the entire driverless industry is shifting into high gear.

It’s a space with trillion-dollar potential, and everyone wants a piece – from Google (Waymo) to Uber Technologies Inc. (UBER) to Amazon.com Inc. (AMZN) and more.

But as I said, here’s what most people are missing: NVIDIA is the one getting paid no matter who wins.

Now, their self-driving segment is a small piece of the pie, but it’s growing fast. In fact, it brought in $567 million last quarter – up 72% year-over-year.

Tesla, Waymo, Zoox, Baidu, Inc. (BIDU) – odds are they’re all using NVIDIA’s platforms to train models, process video feeds, and make real-time decisions in traffic. NVIDIA’s Drive stack is quietly becoming the standard operating system for autonomous mobility. And with robotaxis rolling out across the U.S. and Asia… this is just the beginning.

Now let’s talk robotics.

NVIDIA is helping machines move, think and act in the real world.

One of the most exciting projects is called Isaac GR00T – a foundational model built to train humanoid robots on real-world tasks. Combine that with Isaac Sim (a digital simulation environment) and Jetson (a compact AI chip for robotics), and you’ve got a full pipeline: from AI model… to training ground… to deployment.

Imagine robots that can learn by watching a person sweep a floor. Or re-stack shelves in a warehouse without needing to be reprogrammed every time the layout changes.

Now, imagine those robots starting to do more complex tasks. Like repairing broken-down equipment in a remote facility. Or assisting with surgical procedures in real time.

That’s where this is headed – and NVIDIA is selling the entire toolkit.

The Next Profit Window Is Opening Now

The bottom line is the future is coming a lot quicker than you may think.

It’s about to get a lot more interesting, too.

And it you position yourself correctly – a LOT more profitable.

That’s why I’ve been watching a new AI tool from our partners at TradeSmith.

It’s called TradeSmithGPT, and it uses AI to spot what it calls a stock’s “profit window” – the short stretch of time when a stock is most likely to surge based on real-time data and predictive analytics.

This isn’t some trend-chasing toy. It analyzes over 120 million datapoints across 2,400 stocks and can forecast high-confidence setups weeks in advance.

Right now, TradeSmithGPT is flashing three high-upside trade alerts for July 1.

If you want to make the most of this AI-driven market – especially the fast-moving kind we’re in now – this tool could be your edge.

Click here to learn more about TradeSmithGPT – and how it can help you spot the next move before it happens.

Don’t wait for the next breakout to pass you by.

Sincerely,

�������°�

Editor, Market 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

NVIDIA Corporation (NVDA)

The post NVIDIA Just Took Back the Crown – And I Told You This Was Coming appeared first on InvestorPlace.

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After months of speculation, we finally have confirmation…

A U.S./China trade framework is in place.

Announced yesterday by U.S. Commerce Secretary Howard Lutnick, the agreement was originally hashed out during quiet negotiations in Geneva and now appears to be formally signed.

At the heart of the deal is a commitment from China to expedite rare-earth shipments and magnet supplies – critical components for U.S. aerospace, defense, automotive, and semiconductor industries. In return, the U.S. will lift a series of non-tariff countermeasures that had been restricting certain Chinese exports.

Here’s Bloomberg from yesterday:

The China deal, which Lutnick said had been signed two days ago, codifies the terms laid out in trade talks between Beijing and Washington, including a commitment from China to deliver rare earths used in everything from wind turbines to jet planes.

“They’re going to deliver rare earths to us” and once they do that, “we’ll take down our countermeasures,” Lutnick told Bloomberg News in an interview.

While not a full-scale trade treaty, the rare-earths deal offers immediate relief for strained U.S. supply chains. Perhaps more importantly, it represents a symbolic win in President Trump’s effort to rebalance America’s trading relationships.

But the good news doesn’t stop there…

The China deal might be the start of a wave of trade announcements in the coming days. According to Lutnick, the White House is working on nine additional trade deals.

Back to Bloomberg:

Lutnick told Bloomberg Television that President Donald Trump was also prepared to finalize a slate of trade deals in the coming two weeks in connection with the president’s July 9 deadline to reinstate higher tariffs he paused in April.

“We’re going to do top 10 deals, put them in the right category, and then these other countries will fit behind,” he said.

President Trump’s initial goal was to secure 90 trade deals in 90 days, with the July 8 “tariff pause expiration” deadline looming.

Earlier this week in the Digest, we predicted that we’d see the trade deadline “can” kicked down the road.

Instead, the Trump administration appears to have simply eased its stance. White House Press Secretary Karoline Leavitt told reporters that the July deadline is “not critical.”

The administration is shifting toward a more flexible model, where deals are finalized as negotiations mature – but with the ongoing threat of tariffs as a motivator.

Leavitt emphasized that Trump could still unilaterally impose targeted tariffs at any time if talks stall, returning to the “Liberation Day” tariff strategy. Of course, the hope is that won’t be necessary.

As to where the rest of the potential trade deals stand, discussions are underway with the EU, Japan, South Korea, Mexico, and India. Zeroing in on India, on Wednesday, Trump hinted that it may be the next country to secure a formal deal.

From Reuters:

President Donald Trump earlier said…that there might be a separate deal coming up that would “open up” India.

As the market was celebrating the China deal, President Trump took to Truth Social to announce a breakdown in progress with Canada.

Here’s The Wall Street Journal:

President Trump said he terminated trade talks with Canada over what he called an egregious digital-services tax on U.S. tech companies, plunging relations with America’s second-largest trading partner back into turmoil.

“Based on this egregious Tax, we are hereby terminating ALL discussions on Trade with Canada, effective immediately,” Trump wrote Friday on Truth Social…

The first payments from tech companies to the Canadian government over the digital-service tax, a levy on revenue companies make from Canadian users, are due on Monday.

The tax would likely cost U.S. tech companies billions of dollars. It includes retroactive taxes on sales going back to 2022, and industry groups estimate the initial payment could total up to $3 billion, with subsequent annual payments north of $1 billion. 

Stocks, which had been solidly higher in the morning, sold off. The S&P and Nasdaq even briefly turned negative.

However, as the session went on, buyers stepped back in, and all three indexes closed higher.

Notably, both the S&P and Nasdaq set new record highs today.

The V-shaped rally in the wake of the Liberation Day selloff has been one for the record books.

But for much of June, the S&P 500 has been hovering in a holding pattern, awaiting clarity on rate cuts, inflation, and geopolitical headlines.

With this China agreement signed, and momentum building on other trade fronts (ignoring the set-back with Canada), investors now have something concrete to rally around. It’s fuel for the S&P to take out its prior high, and push into blue-sky territory.

And looking farther out, there’s additional fuel for this rally on the horizon. Let’s rewind to the forecast of our technology expert Luke Lango back in mid-May:

• June delivers a full-blown trade agreement with China and the first Fed rate cut of 2025.
• July brings tax cuts and strong Q2 earnings.
• August caps it off with a re-rating of valuations and likely new all-time highs for the S&P 500.

Though Luke’s prediction of a June rate-cut didn’t materialize (more on that in a moment), he nailed it with the China deal.

Circling back to “fuel for the bull,” we agree with Luke that the passing of tax cuts, and a strong Q2 earnings season, will juice this rally.

The big issue for the Fed and its interest rate policy has been inflation.

Well, this morning brought the latest data the Fed will factor into its interest rate policy – the Personal Consumption Expenditures (PCE) price index.

Headline PCE climbed 0.1% for the month, putting the annual inflation rate at 2.3%. This matched the forecast from Dow Jones economists.

Core PCE, which strips out volatile food and energy prices, came in slightly hotter than forecasts. The monthly figure climbed 0.2% compared to the 0.1% expectation. And the yearly climb of 2.7% was just above the 2.6% forecast. However, this didn’t spook Wall Street, which – as noted earlier – set new records today.

It didn’t spook us either – we’re pleased with these numbers. They don’t show tariffs having had a major impact on prices.

Yes, there’s a lag. And yes, core PCE was slightly hotter than expected. But that increase was too mild to set off any alarm bells.

Looking ahead, Luke believes the recent cool data has given the Fed the ammunition to begin cutting.

Here he is from this week’s Daily Notes in Innovation Investor:

The inflation dragon remains subdued.

And if the data sticks (as it looks likely to), then a July rate cut from the Fed isn’t just a possibility — it’s starting to feel very likely to us.

As we’ve covered recently, Fed officials have already softened their tone. Powell said this week that the Fed is remaining “flexible.” Waller said rate cuts could begin “as early as July.” Bowman said she’d support cuts if inflation stayed cool — and guess what? It has.

With macro headwinds fading and inflation trends stabilizing, all eyes are now on the Fed’s July 30th meeting.

Our call: it will be the first of multiple cuts that help push the market even higher through the year-end.

Luke concludes his analysis by writing, “The bull market is real. The opportunity is now. Let’s keep riding the wave.”

In our 6/2/25 Digest, we flagged a sleeper threat in Trump’s “One Big Beautiful Bill Act.”

Section 899, a key provision, overhauls how foreign investors are taxed on U.S. assets – removing exemptions, adding burdensome reporting, and slapping on taxes of up to 20%. In short, it makes the U.S. a less attractive place for foreign capital. That’s bad news for stocks, as fewer foreign inflows mean lower prices.

Worse, it would’ve taxed foreign central banks, undercutting their incentive to keep buying or holding U.S. Treasuries – potentially sending yields higher and putting pressure on the dollar.

Here was our takeaway:

Bottom line: Section 899 is a big deal. While it might pressure other nations toward better trade behavior, it also risks unraveling decades of dependable foreign investment in the U.S. that could, ultimately, hit our portfolios.

Well, someone saw the light and Section 899 is now scrapped.

From The Wall Street Journal yesterday:

The U.S. and other countries reached an agreement to exempt U.S.-based companies from some corporate taxes that were part of a 2021 international minimum-tax agreement, Treasury Secretary Scott Bessent said Thursday.

The agreement among the Group of Seven largest economies means that the “revenge tax” being contemplated in Republicans’ tax-and-spending bill should be removed from the legislation, Bessent said…

The potential tax, which would have become Section 899 of the tax code, had roiled markets and frustrated foreign-owned companies, who had argued that it would depress investment in the U.S.

Bottom line: Lots of good news is hitting the headlines. While there’s sure to be some profit taking in the coming days, overall, keep riding this bull.

The feedback we’re receiving about Keith Kaplan’s live demonstration on Wednesday of the new “TradeSmithGPT” trading tool has been overwhelmingly positive.

But it’s well-deserved – this AI-based trading tool is perhaps the most advanced product available for retail investors in the market today.

Here’s Keith with the background behind it:

As CEO of TradeSmith, I have a team of top data scientists, programmers, and quant investors. We pride ourselves as being on the cutting edge. But I wanted to go one step further.

So, I asked: Can we harness the same type of artificial intelligence technology Wall Street uses – and make it available to everyday investors? 

After tens of millions of dollars and hundreds of thousands of man-hours, the answer is a resounding “Yes!” 

What they created is a robust screening tool that works 24 hours a day, seven days a week, 365 days a year – analyzing opportunities across nearly 2,000 stocks in any sector you can imagine. 

In the back-tests, it produced triple-digit returns in just weeks – sometimes only a few days.

Back to Keith:

The results are stunning.

In back-tests, this tool identified time windows where stocks surged so fast, it was like compressing four, eight — even nine — years of market gains into just a few weeks.

On October 3, 2024, TradeSmithGPT identified a 19-day profit window opening for the popular music streaming platform stock, Spotify.

It also identified the type of trade that would be best to execute during this window.

As you can see below, that created a trade opportunity for a gain of 153% in just a few weeks.

To be clear, SPOT’s stock didn’t jump 153% during this period. But with the way TradeSmithGPT recommended traders play it, a triple-digit return in less than three weeks was on the table.

Candidly, this tool and its capabilities need to be seen. Words don’t adequately capture how robust it is and what it can do for investors.

So, to see it in action for yourself, totally free, here’s your live replay of Keith on Wednesday.

Have a good evening,

Jeff Remsburg

The post We Have a China Deal: Is the Tariff Headwind Done? appeared first on InvestorPlace.

This cab had a creepy little robot sitting in the front seat, cracking jokes while it drove Arnold through a futuristic city. No steering wheel. No driver. Just a talking machine on wheels.

Back then, it felt like pure sci-fi. But now? That exact future just became a reality in Austin, Texas – and it could make early investors a fortune.

This week, Tesla Inc. (TSLA) officially launched its first live Robotaxi pilot using a fleet of modified Model Ys, priced at $4.20 a ride. Just like the Johnny Cab, these vehicles come with no pedals, no steering wheel and zero drivers behind the wheel. Just a safety monitor in the passenger seat… for now.

Let me be clear: This isn’t a concept or a prototype. It’s a live service with real passengers.

If you’ve read my previous Market 360 coverage, you may know that these autonomous ride services (aka robotaxis) have been around for a while.

In fact, the race to dominate the self-driving economy has been brewing for years. But make no mistake: This is the beginning of what I believe is the most important transportation shift since the invention of the internal combustion engine.

The Robotaxi Wars have officially begun.

So, in today’s Market 360, I’ll show you who’s already in the fight, why this technology could upend entire industries and how investors can position themselves on the right side of this seismic shift.

Let’s dive in.

The Players in the Robotaxi Wars

Tesla may have fired the latest shot in the robotaxi wars, but it’s not the only contender. As I mentioned previously, this battle has been brewing for years. And the front lines are getting crowded…

Waymo

Alphabet Inc.’s (GOOG) self-driving division, Waymo, has been testing robotaxis for over a decade. It now operates thousands of rides each week in cities like San Francisco, Los Angeles, Phoenix and Austin. Just this month, it expanded service to Atlanta through a partnership with Uber, allowing users to hail Waymo vehicles directly from the Uber app.

Uber Technologies, Inc. (UBER)

Speaking of Uber, after selling off its self-driving unit in 2020, it’s now partnering with companies like Waymo and May Mobility to bring autonomous rides to market. But it hasn’t given up on leading the space… Starting next year, Uber will roll out its own autonomous service in Los Angeles using Volkswagen AG’s (VWAGY) ID.Buzz vans, built in partnership with Volkswagen.

Amazon.com Inc. (AMZN)

Amazon’s Zoox is building its own robotaxis from the ground up. The company recently opened a production facility in California and is targeting Las Vegas for its commercial launch later this year, with San Francisco and Miami in its sights.

Baidu, Inc. (BIDU)

China’s Baidu is the largest robotaxi operator in the world, and it’s about to get bigger. Baidu has its sights set on international expansion, starting with launching its Apollo Go platform in Singapore and Malaysia. I should note that Apollo Go has deployed 1,000 self-driving vehicles worldwide and has already logged over 11 million autonomous rides.

NVIDIA Corporation (NVDA)

And let’s not forget that NVIDIA continues to power the brains of the industry, supplying AI hardware and platforms for self-driving technology.

NVIDIA’s self-driving segment brought in $567 million last quarter – up 72% year-over-year. That’s small next to $44 billion in total revenue, but it’s one of their fastest-growing bets.

Longtime readers know that I’ve held NVIDIA for a long time and have no intentions to sell anytime soon. And this is a good reason why… Chances are good that whether a robotaxi is built by Tesla, Waymo, or Zoox – NVIDIA is still getting paid. As CEO Jensen Huang has been pointing out repeatedly, this will be one of the company’s biggest growth drivers in the coming years.

Each of these companies brings something different to the table. Waymo has the head start. Uber has the scale. Baidu has a lock on Asia. Zoox is building from scratch. The fight is on.

I do not know if Waymo (Google), Tesla or Uber/VW will win the autonomous taxi wars that are now unfolding. But I do know this: We’re heading toward a future where we’re no longer driving ourselves – just being transported from place to place in robotaxis as Elon Musk has envisioned.

In fact, McKinsey projects that the global robotaxi market could reach $2 trillion by 2030 – driven by rising demand for urban mobility, falling costs of autonomy, and the massive efficiency gains of driverless fleets.

This Is Just the Beginning

Some investors still think this is five or ten years out. But the rollout is already happening – and the pace is accelerating faster than most people realize.

And here’s the thing: Robotaxis are just one step.

What you’re seeing right now in Austin – and soon, in cities all across America – is just the first proof point of what’s coming, folks.

Cars are learning to drive themselves. Robots are learning to make real-world decisions.

AI is no longer just a buzzword. It’s no longer something that helps you write an email or summarize a book or even potentially replace search engines.

We’re talking about when AI enters the physical world. When it starts having tangible benefits for those who adopt it.

And those that don’t? Well, they get left behind.

But here’s the thing most investors are missing…

If you think the biggest opportunity is investing in Tesla or Waymo or Uber, you’re only seeing part of the picture. The real wealth creation is happening behind the scenes – where next-gen data, predictive tech and AI-powered decision tools are changing how markets move.

And that’s exactly where a new breakthrough from our partners at TradeSmith comes in.

They’ve just launched an AI-powered system designed to spot where the money is flowing – not after the fact, but in real time.

It’s called TradeSmithGPT. And instead of reading data and outputting text or an image, it spots patterns in 120 million market datapoints on more than 2,400 stocks.

It’s an AI-powered tool that’s built to cut through the noise and pinpoint the exact stocks poised to benefit from major market shifts. It’s so sophisticated on the back end that it looks like a high-powered “quant” algorithm used by a major hedge fund… yet it’s easy and intuitive for any investor to be able to use.

The best part? The folks at TradeSmith have opened up access to this powerful new tool.

You can learn all about TradeSmithGPT here.

Just know it’s only open for a limited time, so you won’t want to wait.

Sincerely,

�������°�

Editor, Market 360

The Editor hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

NVIDIA Corporation (NVDA)

The post The Robotaxi Wars Just Escalated. And It’s Only the Beginning… appeared first on InvestorPlace.

From battlefield bots to self-driving cabs, AI is rewriting the rules – and a handful of overlooked stocks could deliver life-changing gains.

Most investors still treat AI like a buzzword. But as sovereign nations pour billions into AI-run defense systems and tech giants reimagine transportation with autonomous fleets, the stakes – and upside – are higher than ever. If you’re only looking at Nvidia (NVDA), you’re missing the real alpha.

Start with defense. Sovereign AI – AI developed and controlled by nation-states – is becoming critical infrastructure. These systems run everything from missile guidance to energy grids, and the companies building them are booming. Kratos Defense & Security Solutions (KTOS) is a prime example. We flagged it early in our Breakout Trader portfolio. Back in December 2022, it traded at $10. Today, it’s pushing $40 – a 4x return as global instability drives military budgets into overdrive.

But KTOS is just the beginning. As executive crossovers emerge – like leaders from Meta (META), Palantir (PLTR), and OpenAI being sworn into military reserves – it’s clear: the fusion of defense and AI isn’t speculative. It’s happening now.

On the civilian front, AI is disrupting transportation. Autonomous vehicles will fundamentally shift how Americans work and commute. That means new winners in software, sensor tech, and logistics. Think Tesla (TSLA), sure – but also the suppliers building the hardware and platforms behind the scenes. The rise of AI-driven design, holographic interfaces, and productivity-on-the-go (think AR glasses turning your car into a mobile office) will create entirely new sectors.

Yes, most investors are still stuck in the past – thinking about car ownership, human-driven logistics, and a 9-to-5 world. But with self-driving fleets, remote work, and AI-managed logistics networks, we’re heading into a post-car-ownership economy. That’s a $7 trillion disruption hiding in plain sight.

We’ll continue tracking the AI arms race, both in defense and daily life. The biggest gains will go to those who act now, before Wall Street wakes up. Watch this week’s podcast as we spotlight the AI stocks most likely to lead this transformation.

The post The Hidden AI Stocks Fueling a Defense-Tech Boom appeared first on InvestorPlace.

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Granddaddy, please help me!

The small voice on the other end of the line sounded panicked.

As my elderly father tells the story, the call came from his “grandson” who was in trouble.

Without getting into details, the request was what you’d expect…

Money.

My father recognized the scam immediately. However, now in his mid-80s and long retired, he’s also bored. So, he was thrilled to have this unexpected activity.

For almost 45 minutes, my father had a fabulous time walking up to the edge of disclosing sensitive financial information before pulling back, feigning confusion, and frustrating the scammer to no end.

Eventually, when he’d had enough, my father casually asked, “By the way, just remind me – which grandson is this?”

The call ended shortly thereafter.

My father reported that his “grandson,” sounded nothing like his actual grandson. But what if that had been the case thanks to an AI-generated vocal clone?

According to Security.org’s 2024’s “Deepfakes Guide and Statistics,” just three seconds of audio is sometimes enough to produce an 85% voice match using AI.

Consider how easy it is to get an audio file from someone off social media these days.

And be careful about thinking you’d be able to spot a scam easily…

In April, Spanish authorities dismantled a crypto investment scam that used AI-generated deepfake ads featuring public figures.

Over 200 victims worldwide were defrauded to the tune of about $20.9 million. Six individuals were arrested in Spain’s “COINBLACK – WENDMINE” operation.

Here’s Bleeping Computer:

The scam had multiple phases, starting with typical “romance baiting” or the threat actors posing as “financial advisors” and ending with a twist of fake money recovery claims.

Victims were chosen via algorithms that selected persons whose profiles matched the cybercriminal’s targeting requirements and subsequently targeted by AI-generated deepfake ads.

“With the help of Artificial Intelligence, the scammers created fake ads featuring well-known national figures apparently recommending investing in these products,” explains the Policia National announcement.

When it comes to building wealth in stocks, few concepts will help you more than something we at InvestorPlace call “Inevitables.”

“Inevitables” is a concept popularized by Warren Buffett. It’s his term for businesses with huge competitive advantages that dominate their industries.

From Buffett’s 1996 Berkshire Hathaway investor letter:

Companies such as Coca-Cola and Gillette might well be labeled “The Inevitables.” Forecasters may differ a bit in their predictions of exactly how much soft drink or shaving-equipment business these companies will be doing in ten or twenty years…

In the end, however, no sensible observer – not even these companies’ most vigorous competitors, assuming they are assessing the matter honestly – questions that Coke and Gillette will dominate their fields worldwide for an investment lifetime.

In simple terms, “the Inevitables” are the market leaders of specific sectors that will be in demand for decades to come.

But there’s a twist…

Inevitables don’t have to be specific stocks.

The concept is applicable to certain technologies, trends, or cultural shifts that are so impactful, that massive growth is “inevitable” … virtually guaranteed.

AI is transforming everything – reshaping industries from finance to healthcare to logistics.

But the same algorithms that help Amazon recommend your next purchase or let ChatGPT write an email can now be used to power phishing scams, identity theft, financial fraud, deepfake extortion, data breaches, and election interference – at scale.

This is not hypothetical. It’s happening now.

A few statistics:

• Arkose Labs notes that 73% of internet traffic today is bots, many powered by AI, and often involved in credential stuffing (a type of cyberattack in which the attacker collects stolen account credentials, typically consisting of lists of usernames or email addresses and the corresponding passwords) or fraud attempts.
• According to the consulting group McKinsey, cyberattacks will cost the global economy over $10.5 trillion annually by the end of the year – up from $3 trillion in 2015. A key accelerant? The rise of AI-powered threat actors.
• A Security.org survey found that 1 in 4 Americans have now been targeted by AI-generated scams – voice cloning like my father experienced, deepfake videos, and/or highly personalized phishing emails.

In February 2024, a finance employee at the Hong Kong branch of a multinational firm received an email urging a “secret transaction” from the CFO.

Doubtful at first, the employee ultimately joined a video conference where AI-generated deepfakes of the CFO and colleagues appeared fully authentic.

Convinced, the employee authorized 15 transfers totaling approximately $25.6 million to the scammers’ accounts before realizing the fraud a week later.

This is a wake-up call for businesses and governments alike.

Every major enterprise – from banks to retailers to logistics companies – will be forced to invest in next-gen cybersecurity that uses machine learning, neural networks, anomaly detection, behavioral modeling, and generative AI to defend their systems.

Here’s Shailendra Upadhyay, Senior Research Principal at Gartner:

The continued heightened threat environment, cloud movement and talent crunch are pushing security to the top of the priorities list and pressing chief information security officers (CISOs) to increase their organization’s security spend.

This is no longer optional. It’s the cost of doing business in the digital age.

It’s…inevitable.

But from an investment perspective, it makes our job easy…

We position our investment dollars in front of this flood of “security spend.”

The simplest one-click solution is a broad ETF such as “HACK.” It holds many of the top names in cybersecurity – Broadcom, Cisco, Cloudflare, Fortinet, and Zscaler, to name a few.

(Disclaimer: I own HACK.)

It’s up 36% over the last 12 months, tripling the S&P’s return.

However, because HACK is an ETF, you’re inadvertently investing in some underperformers along with the winners. This weighs on your returns.

For example, take Cisco (CSCO) and SentinelOne (S), both of which are holdings in HACK.

As you can see below, over the past year, while Cisco has popped 51%, SentinelOne has fallen 7%.

If this makes you think twice about a buy-and-hold approach to HACK, a second option is to focus on specific cybersecurity leaders like Cisco.

You could hold them for the long-haul (through inevitable volatility), or you can trade their volatility for shorter-term gains.

If trading is more your speed, I’ll quickly point you to TradeSmithGPT, which our corporate partner, TradeSmith, just unveiled yesterday.

This is an AI-based trading tool engineered to pinpoint specific windows when the odds of a significant (and tradeable) stock move increase. The tool also can suggest which way a stock is likely to move, then offer suggestions for how to play it in a way that amplifies your returns.

Yesterday, TradeSmith CEO Keith Kaplan provided an impressive live demonstration; but it’s more important that you come to your own conclusion. To see the free demo, here’s your link to Keith taking it for a spin.

Circling back to playing HACK, you could also take a half-and-half approach.

In other words, allocate some of your capital to HACK as a buy-and-hold investment while a different “trading allocation” goes into TradeSmithGPT-sourced ideas for quicker trading gains.

Every few years, a shift happens that permanently alters the investing landscape. AI itself is one of those shifts.

But beneath the surface of this mega-trend is a companion megatrend that’s just as urgent, unavoidable, and potentially lucrative…

As long as we have bad actors, we’ll have a need for protection from bad actors.

And that makes top-tier AI plays one of the most obvious, no-brainer, long-term “inevitable” investments in the market today.

Invest accordingly.

Have a good evening,

Jeff Remsburg

The post A $20 Million Scam and the Opportunity That Follows appeared first on InvestorPlace.

If you blinked this week, you may have missed a lot.

After President Donald Trump announced that he would take two weeks before making a decision about Iran, he surprised the world by striking three of Iran’s nuclear sites over the weekend. 

On Monday, Iran retaliated by launching 14 missiles at a U.S. military base in Qatar, though there were no injuries.

Later that night, the president announced a ceasefire between Iran and Israel. “It has been fully agreed by and between Israel and Iran that there will be a Complete and Total CEASEFIRE,” he posted on his Truth Social platform. 

On Tuesday, both countries accused the other of violating the ceasefire. As of now, it tentatively remains in effect, with President Trump announcing plans to meet with Iranian officials next week.  

Interestingly, Wall Street doesn’t seem concerned.

Stocks rallied sharply and crude prices fell to $65, bringing losses since Friday to 13%. Taken at face value, this suggests Wall Street fully believes a ceasefire will hold, and that oil will keep flowing at near-record levels. 

In today’s Smart Money, I’d like to consider Wall Street’s reaction… why traders might be far too optimistic in their risk assessment… and what this all means for the oil industry.

Though Wall Street remains fixated on near-term events, it’s still worthwhile to keep an eye out on oil’s horizon. 

Then, I’ll introduce you to the artificial intelligence breakthrough that can help you stay ahead of geopolitical curveballs and uncertainties, like this one.

Why Investors Are Betting on Business as Usual

In one sense, investors are right to ignore the news. After all, the most likely outcome is that we return to the status quo. 

Consider the past six major military conflicts involving Israel, beginning with the First Intifada in 1987 and ending with Operation Iron Swords in 2023.

On average, the graph below, prepared by JPMorgan Chase & Co. (JPM), finds that these events “did not result in significant supply losses following the conflict, thereby having no lasting impact on oil prices.” 

Sunday’s attack with U.S. bunker-busting bombs should have the same negligible impact.

No oil terminals were bombed, Iran seems unlikely to close the Strait of Hormuz (where a significant portion of global oil flows through), and President Trump has long signaled his displeasure with having American troops in foreign wars.

In the most likely scenario, tomorrow will be another Friday, and rising OPEC production (the union of oil-producing nations) will continue pressuring crude oil into the low-$60 range. 

Besides, years of buy-the-dip conditioning have turned investors into a rather sanguine bunch. 

But what if something happens?

What if we land on that 10% or 20% chance that President Trump is serious about supporting “regime change” in a country with historically unpopular leadership? Or what if an Iranian “proportionate” response to American strikes leads to a wider conflict? 

If that happens, Wall Street must reach for an old playbook…

The Risk Wall Street Is Ignoring

Since 1979, the world has seen eight notable regime changes in major oil-producing countries. As JPMorgan notes below, these rare events have typically cut production in that country by 23% over the following six-month period.  

This is a risk that investors must take seriously.

The Iranian government (and arguably the Israeli one, too) has no clear plan forward. Iran could continue to abide by the ceasefire, making its already unpopular leaders look weaker, or continue its attack, potentially drawing the U.S. further into the conflict.

Both have the potential for destabilizing the Iranian government and adding the country to JPMorgan’s graph above. 

That would send shockwaves through the oil market. Iran is OPEC’s third-largest producer, and even minor disruptions to oil supply has historically sent prices surging.

So, even though we fully expect a return to the status quo in the most likely case, the risks of things going sideways mean it’s still worthwhile to opportunistically add high-quality oil stocks trading at a discount to your portfolio. 

Whether tensions escalate or we settle into the status quo, we’re undoubtedly living in an Age of Chaos. There will be more market-flipping headlines to come, and smart investors need tools that can navigate this uncertainty.

And our corporate partner TradeSmith has just the tool in mind…

Your AI Edge in an Age of Chaos

At any moment, one country can make the wrong move, one social media post can ripple through markets, and prices will swing accordingly. The key is to avoid bringing emotions into your decision-making process when investing.

That’s why I want to talk to you about TradeSmithGPT – the biggest breakthrough in TradeSmith’s 20-year history. It’s a new powerful AI tool that can pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day. 

And just yesterday, TradeSmith CEO Keith Kaplan went live in a special presentation to demonstrate the new system. He explained how, with extensive backtesting, TradeSmithGPT crunches more data points – over 120 million – than any human could handle to create real-world models of where prices are headed with a 75% accuracy rate. 

And it might just be your key to success in the markets during 2025. 

The numbers behind it say it all…

• 4.2 million historical price outcomes across more than 2,400 stocks over seven years.
• 88.9 million daily forecasts that map out price movements over a 21-day period.
• Tens of millions of “validation” runs, which refine accuracy and confidence with each new day of data.

During Keith’s presentation (which you can watch here), he also shares three stock picks from his system with 100%-plus upside potential. You can still catch the replay and see how this AI breakthrough might give you the edge and stability you need, especially in this volatile climate.

But this free broadcast is only available for a limited time.

So, click here to check out what AI-powered investing is all about.

Until next week, 

Tom Yeung 

Markets Analyst, InvestorPlace 

The post Why Oil Prices Are Falling… and the Tool That Can Give You an Edge in a Chaotic Market appeared first on InvestorPlace.

But as excited as I am about what this technology can do, I want you to hear more about it directly from the person who built it.

That’s why I’m turning today’s issue over to my colleague and trusted partner, Keith Kaplan. As CEO of TradeSmith, Keith has been at the forefront of this incredible innovation – and no one is better equipped to show you how this system works, why it’s so powerful and what it could mean for your financial future.

Take it from me: What Keith has built is nothing short of extraordinary. I encourage you to read his message carefully – and be sure to check out the replay of the live demo before it disappears.

**

In the spring of 1901, a group of Greek divers stumbled upon a Roman-era shipwreck off the island of Antikythera.

They weren’t searching for treasure. They were looking for sea sponges – the kind that grow on quiet reefs and were sold for a few drachmas back on shore.

But they found something entirely unexpected at the bottom of the Aegean Sea.

At first glance, it did not look like much – just a lump of corroded metal and wood, encrusted in coral and calcified from thousands of years beneath the sea. But when scientists used modern imaging technology to investigate what was inside, they found it housed a network of gears – some with teeth finer than those in a modern wristwatch – stacked and intermeshed with breathtaking precision.

They called it the Antikythera Mechanism. And it’s the oldest-known analog computer in the world, now on display at the National Archaeological Museum in Athens.

The Antikythera Mechanism is older than the Colosseum and older than the Christian Gospels. Yet it could predict lunar and solar eclipses, track the movements of planets, and even display the dates of the ancient Olympic Games.

More than 2,000 years later, we’re still building machines to predict the future. But instead of gears, they run on code.

And they don’t just track planets anymore. Thanks to a branch of artificial intelligence known as machine learning, these systems can now forecast the movement of stocks.

In 2022, hedge fund Citadel used AI to rake in $16 billion – the largest annual profit ever recorded by a hedge fund. And here’s the kicker: This haul was mostly thanks to computer-based trading.

But thanks to the biggest breakthrough so far in our 20-year history at TradeSmith, everyday investors like you can now also tap into the power of AI-assisted trading.

It not only tells you the best time to profit from a trade. It can also show you the optimal type of trade to execute… with backtested gains as high as 776% in just 17 days.

Let me show you how.

Look at What AI Systems Have Achieved So Far

Artificial intelligence is relatively new to the scene. And I know there are still folks who doubt its power.

I get that.

But think about what AI systems have been able to achieve so far. They have…

• Decoded a 2,000-year-old scroll buried in volcanic ash. Using machine learning and X-ray scanning, researchers trained an AI to “read” carbonized papyrus scrolls destroyed in the volcanic eruption that buried Pompeii. Human eyes couldn’t read them, but AI saw patterns in the ink invisible to us. Ancient text, resurrected from ash.
• Discovered a brand-new antibiotic.In 2020, researchers at MIT used an AI system to scan more than 100 million chemical compounds – and they found a new, highly effective antibiotic called Halicin. It works on drug-resistant bacteria.
• Piloted fighter jets and won dogfights against human pilots. In a Defense Advanced Research Projects Agency (DARPA) test, an AI-powered fighter jet pilot beat an experienced U.S. Air Force pilot 5-0 in simulated dogfights. AI can now outmaneuver a human in life-or-death tactical decisions – with zero delay, no fatigue, and perfect memory.
• Transformed cancer detection. AI systems can now spot early-stage cancers (like breast or lung cancer) with greater accuracy than expert radiologists, finding subtle patterns in scans and biopsies that human eyes often miss. In some trials, it reduces false positives and saves lives.
• Predicted extreme weather better than government forecasters.A Google DeepMind model recently beat the U.S. National Weather Service in short-term storm forecasting. It can predict rainfall and dangerous weather hours in advance with unprecedented precision – a game-changer for everything from farming to hurricane evacuations.

All of this reads like science fiction. But it’s happening right now in the real world.

And as I mentioned up top, AI is also transforming the way we invest and trade.

An Extraordinary Moment for Investors

�������°� 70% of daily trading volume on U.S. stock markets — including the NYSE — is executed via algorithmic (automated) trading.

That means when you buy or sell a stock, it’s likely that it’s not a human trader on the other end of the trade. It’s an algorithm.

Now, quant hedge funds are beginning to rely on the latest AI chips, like Nvidia’s popular GPUs, to test some of their most advanced models.

But I’m here to tell you that it’s not just elite Wall Street funds who get to harness the power of AI to boost their profits. Thanks to the breakthrough we’ve made at TradeSmith, everyday investors like you can, too.

As a software engineer with a degree in computer science, I know that it takes an insane amount of research, calculation, computer processing power, trial and error – not to mention grit – to create a system that can get damn close to true foresight.

But at TradeSmith, we’ve done it.

As we’ve shown in our extensive backtesting, it’s now possible to see four years, eight years, even nine years of stock market gains in a matter of weeks using this AI-powered tool.

We’re calling it TradeSmithGPT.

Now, that doesn’t mean TradeSmithGPT will get 100% of its calls right. There will be hits and misses.

But by harnessing its power, you’re significantly stacking the odds in your favor.

Here’s an example I showed folks during the live demo of TradeSmithGPT. It’s a trade our system flagged on October 3, 2024… 

That’s when this AI identified a 19-day profit window opening for the popular music streaming platform stock, Spotify.

Not only that, it identified the type of trade that would be best to execute in this window – which created a trade opportunity for a gain of 153% in just a few weeks.

That doesn’t mean that SPOT’s stock soared 153%, of course. But it means that with this AI edge and placing a specific trade, you could have seen this triple-digit gain in less than three weeks.

Or let’s go a few months back to July 17…  

Our system identified video conferencing stock RingCentral’s “profit window” as nine days…  

And the trade it recommended to capitalize on this profit window, brought home gains of 102%.  

Same logic applies here as it did to the SPOT trade. While RingCentral stock itself didn’t climb to skyscraper heights, the specific type of trade that TradeSmithGPT identified could have helped you grab a quick 100+% gain in mere days.

The Window Is �������°� to Close

The message is clear: TradeSmith’s unique AI trading tool can give you an edge where you normally wouldn’t have one in the markets.

And it’s available right now for folks like you.

If you missed the live demo of TradeSmithGPT, don’t worry. You can view the replay here – but only for a limited time.

And by acting now, you’ll be ready to seize three new opportunities TradeSmithGPT just flagged… which will drop on Tuesday, July 1.

But as I said, the replay is only around for so long. After July 1, I can’t promise you’ll ever see it again.

Go here now – and you’ll have three fresh trade opportunities ready for you on Tuesday.

Keith Kaplan

CEO, TradeSmith

The post Why TradeSmith GPT Is Rewriting the Rules of Trading appeared first on InvestorPlace.

According to Elon Musk, his most world-changing product isn’t a car, rocket, social media platform, or AI chatbot…

It’s a walking, talking humanoid robot named Optimus.

In fact, Musk actually believes it could become the most valuable product in history, potentially surpassing even the iPhone. 

Tesla’s robot is powered by the same AI brain and Full Self-Driving (FSD) tech that runs its autonomous vehicles. But unlike a car, Optimus can walk, talk, lift, carry, assemble, cook, clean, and, perhaps most importantly, learn.

Not to mention, it’s already operational, working inside Tesla factories, performing light-duty tasks and learning in the real world. And it won’t remain insular for long. Musk has said Tesla will manufacture thousands of these bots this year, with plans to sell them to external businesses in 2025 and to consumers shortly thereafter.

The Tesla CEO is thinking big. On a Wall Street conference call not long ago, he said:

“Optimus will be the overwhelming majority of Tesla’s value… It has the potential to generate over $10 trillion in revenue.”

This is the same man who created the world’s most valuable car company, most successful private space firm (SpaceX), and one of the most disruptive energy businesses with Tesla Energy. And even considering those prolific triumphs, he believes that Optimus is his crown jewel.

So, why is Musk betting his legacy on this robot?

Because he sees what’s coming…

Why the Optimus Robot Could Outshine the iPhone

We feel that the stars are aligning in a way that could catapult humanoid robots into the center of American industry, policy, and everyday life faster than anyone expects.

AI is evolving fast. For example, back in September 2024, most AI models averaged between 80 and 93 IQ, as measured by TrackingAI. Today, most fall between 95 and 130. And that’s just within about six months’ time! 

Pair that level of intelligence with a humanlike machine body, and you have the blueprint for an unlimited, round-the-clock labor force. No sleep, wages, lunch breaks, or benefits – just productivity.

That’s a future Musk is actively building. And it’s why we think Optimus could be the most disruptive product ever launched.

This is a machine that could perform warehouse work, manage inventories, assist in factories, restaurants, and homes, patrol and secure properties, perform elder care and domestic duties…

At scale, it could easily supplement, even replace, human labor throughout the entire global economy.

Humanoid Robots: A Labor-Disrupting, Economy-Transforming Force

Let’s be real: This isn’t just a digital assistant that lives in your pocket like Siri. 

With humanoid robots, we’re talking about a physical personal assistant with a tangible impact – a potentially labor-disrupting, economy-transforming force gearing up to go mainstream.

Think about it. From steam engines to semiconductors, every major technological leap has reshaped the workforce in ways that were hard to fully grasp at the outset. 

During the Industrial Revolution, machines replaced hand-weavers, leading to the collapse of entire ‘cottage industries’ almost overnight. 

In the 20th century, Henry Ford’s assembly line made cars accessible to the masses – while also redefining labor itself, breaking skilled work into repetitive, specialized tasks. 

And as we’ve seen most recently, digital tools introduced to cut costs and boost efficiency have hollowed out sectors across the labor market. Spreadsheets and enterprise software have replaced swaths of bookkeepers and administrative assistants. Email and databases have streamlined office workflows that once required dedicated secretaries and file clerks.

In our view, humanoid robots represent the next great technological leap that will change the labor calculus entirely. 

Just as tractors once transformed agriculture and displaced millions of farmhands, these machines could reshape employment as we know it.

The Final Word on Unlocking Generational Wealth

Every labor shock in history has wrought destruction… and reinvention. 

History tells us not to ignore these shifts. When the tools change, so does the world…

As well as the paths previously taken to rise to the top.

You may have heard some traders say that this isn’t your grandfather’s stock market. And it’s true.

Especially since this AI Boom began, there’s been a clear divergence in which trades are winning big and which are getting left behind. 

On one side, you have legacy names like Walmart (WMT) and Coca-Cola (KO) grinding out 1% days (if they’re lucky). On the other, you’ve got AI-adjacent companies doubling or tripling within just a few months… sometimes even weeks.

This will remain the case – because AI is not a bubble; it’s an infrastructure shift, the way cloud computing was in the 2010s or the internet was in the late ’90s. And we believe that humanoid robotics represents one of the most transformative and highly profitable investment opportunities in today’s new AI-powered age.

One company in particular seems poised to take the crown in the robotics race. And rumors of an announcement coming on July 21 could send its stock – and those of its lesser-known suppliers – to the moon.

Get the investment playbook for what CNBC reports could be the $25-trillion opportunity of a generation.

P.S. You can stay up to speed with Luke’s latest market analysis by reading our Daily Notes! Check out the latest issue on your Innovation Investor or Early Stage Investor subscriber site.

The post Musk Is All In on Robots: Why You Should Be, Too appeared first on InvestorPlace.

VIEW IN BROWSER

July 8…

Ring any bells?

We’re less than two weeks away from the official expiration date of President Trump’s 90‑day pause on broad “reciprocal” tariffs.

Meanwhile, only one trade deal has been finalized with the U.K. And frankly, it’s less of a “deal” and more of a broad “framework.” Roughly 17 other deals remain in negotiation.

Not extending the tariff pause would mean President Trump’s sweeping “Liberation Day” tariffs snap back into effect at elevated levels – generally a 10% baseline plus further reciprocal tariffs on countries that fail to reach a deal.

For example, for the European Union, its 10% tariff could jump to 50% as soon as July 9…two weeks from today.

The good news is that Treasury Secretary Scott Bessent recently stood before Congress and told lawmakers:

It is highly likely that those countries … who are negotiating in good faith, we will roll the date forward to continue good‑faith negotiations.

If someone is not negotiating, then we will not.

The markets have priced in a boatload of extensions. So, if negotiations fail, well, look out.

Now, we believe the extensions will come. But we have the luxury of not needing to know specifics or timing. Wall Street wins if the can is kicked down the road.

But the Federal Reserve doesn’t have such a luxury…and that complicates its policy going forward.

In recent days, two Fed members have hinted that rate cuts could come in July.

Let’s go to our hypergrowth expert Luke Lango and Monday’s Daily Notes in Innovation Investor:

The Fed chatter is turning friendlier.

On Friday, Fed Governor Christopher Waller said a rate cut could come as soon as July, provided inflation stays soft.

[On Monday], Governor Michelle Bowman echoed those comments, saying she’d support a cut in July if inflation data cooperates.

Rate cut odds for July have spiked—from 5% last week to 25% today. And the market is now pricing in almost three cuts by January 2026. Rate cuts are coming, folks.

That’s fuel for the economy and stocks.

But then, yesterday, in remarks before Congress, Fed Chair Jay Powell went in the opposite direction. Here’s CNBC:

[Powell] emphasized the central bank’s commitment to keeping inflation in check, saying he expects policymakers to stay on hold until they have a better handle on the impact tariffs will have on prices…

He noted that inflation is still above the Fed’s 2% target, with the impact that President Donald Trump’s tariffs will have still unclear.

“Policy changes continue to evolve, and their effects on the economy remain uncertain,” Powell said. “The effects of tariffs will depend, among other things, on their ultimate level.”

The Fed is hopeful about disinflation…but cautious due to the various unknowns.

So, you have the Waller/Bowman camp warming to cuts due to the softer inflation prints (this is why – as Luke noted – July rate-cut odds jumped from just 5% last week to 25%) …

But you also have the Powell camp slow-walking cuts due to forward-looking inflation concerns (which is why those same rate-cut odds fell from 25% to 20% after Powell’s testimony).

Here’s Powell from his remarks to Congress:

If you just look at the basic data and don’t look at the forecast, you would say that we would’ve continued cutting.

The difference, of course, is at this time all forecasters are expecting pretty soon that some significant inflation will show up from tariffs. And we can’t just ignore that.

Here’s the most likely takeaway for now…

Rate cuts could happen soon, but the path is conditional.

If this Friday’s PCE report confirms the disinflation trend, and we get through July 8 without tariffs exploding higher, then the door to a summer cut remains open, and a September cut is likely.

But if inflation data surprises to the upside, or the reintroduction of Liberation Day tariffs muddies the water, Wall Street’s recent bias toward more rate cuts will be proved wrong yet again…and we should brace ourselves for a new round of volatility.

In yesterday’s Digest, I highlighted how today’s market isn’t built for passive investing alone.

Greater volatility is the new norm… AI is amplifying market moves for an increasing number of stocks… and buy-and-hold is facing headwinds (the S&P is up less than 4% on the year).

In this environment, trading is becoming more essential than optional. So, we’re going to be highlighting different ways to trade over the coming weeks to help demystify how it works.

In yesterday’s Digest, we profiled a new trading tool from our corporate partner TradeSmith. It scans 120 million data points to identify prime trading moments – “profit windows.”

This morning, TradeSmith’s CEO Keith Kaplan went live to demonstrate how the tool works. He provided back-tests of the results (like 89% in 1 day… 339% in 18 days… even 776% in 17 days). He also gave away the names and tickers of three new opportunities for July 1 that could each shoot up 100% or more in days.

If you missed it, you can check it out for free right here.

On Monday, one of Luke’s trades in Breakout Trader – Kratos Defense & Security Solutions Inc. – pushed above the 200%-return milestone (they opened it in spring of 2023).

What’s the trading strategy behind this gain?

In my opinion, it’s one of the best medium-term, limited-stress systems out there.

It relies on something called “stage analysis,” which you can begin implementing in your own portfolio today.

The underlying idea is simple…

At any given point in time, an asset is either going up, down, or sideways.

To that end, it’s always in one of four unique stages: 1) going sideways at a bottom, 2) going up, 3) going sideways at a top, or 4) going down.

Stage analysis is the science behind determining which stage a stock is in, and then only investing in a stock when it’s surging in Stage 2.

This puts all the emphasis on price, which is the one variable that directly impacts your wealth.

Here’s Luke’s take:

…The only thing that will make a difference to your portfolio is whether the stocks you own rise in value while you own them.

Let’s say you found a truly atrocious company – we’re talking the opposite of a blue chip. It’s hemorrhaging cash, has awful management, and is in a dying industry.

But what if its stock price had just broken out and, hypothetically, was on its way to doubling from $5 to $10? Would any of those negative characteristics matter to you?

If what you care about is your personal wealth, they shouldn’t. Why would they?

All that would matter is that the stock is doubling while you’re invested…

When it comes to wealth-building, the only thing that truly matters is whether the share price moves in the direction you want during the period you own the stock.

Stocks aren’t buy-and-hold heirlooms for the long haul. Instead, they’re nothing more than a tool – only as useful as their ability to generate wealth.

So, bullish momentum is what matters for this style of trading.

Circling back to KTOS, as you can see below, Luke’s subscribers jumped in very early in its Stage-2 breakout (following its Stage-1 consolidation).

Yes, KTOS has experienced plenty of volatility since, but its Stage-2 breakout channel has remained intact. So, Luke and his subscribers have remained in the trade, resulting in that push beyond 200% I highlighted a moment ago.

Now, why has KTOS been surging?

In short, tailwinds in hypersonic tech and military drones. The company has won major government contracts and ramped up production. Add in growing defense spending, insider buying, and even index inclusion, and it’s no wonder this stock’s been climbing.

But for Luke’s purposes, asking “why?” is irrelevant…

If KTOS was selling toilet paper – yet its stock was breaking out in the same way – it would be on Luke’s radar.

Bottom line: With this style of trading, price is truth.

You’re generally hands-off.

As long as the trade remains in its Stage-2 breakout, you don’t have to do much.

As for trade length, you can be in a position anywhere from a few days to a couple years in KTOS’s case. The timing relates 100% to bullish price momentum.

From a “stress” perspective, stage analysis enables you to pullback and “see” the breakout, which helps provide greater peace about your exit.

Tip: Be sure to factor in a stock’s inherent volatility when thinking about stop-losses. A stop-loss that’s too tight relative to a stock’s natural volatility means you’ll sell too soon. One that’s too loose means you risk accepting a greater drawdown than you want.

This is why when Luke makes a new trade recommendation, he highlights the stock’s standard deviation. This plays a role in your stop-loss, which influences your expectation of volatility, and by extension, your position size.

Getting this right (or wrong) has a huge impact on your calm (or stress) when a trade is live.

Overall, stage analysis is a great trading system when you want to be involved – but not feel overly burdened by the need to check in too often. It’s also fantastic for visual traders.

More on our trading series to come when we highlight Jonathan Rose.

We’ll dive into this in greater detail in a future Digest, but let’s put this on your radar…

Robots/humanoids are coming… it’s going to be huge… now is the time to get in before the masses.

There are many ways to do this which we’ve been profiling in recent months, but Luke just highlighted another.

Let’s return to his Innovation Investor Daily Notes:

We are very bullish on the emergence of AI-powered humanoid robots over the next several years. We think they’ll go from being nowhere today to being everywhere in factories by 2030 and everywhere in homes and on streets by 2035.

We are in the first inning of hypergrowth for humanoid robots. If so, that means we are in the first inning of hypergrowth for demand of rare earth magnets, too.

That’s because the most mission critical physical component of a humanoid robot is a motor or actuator.

These robots will have dozens of motors across their bodies that convert electrical energy into mechanical energy.

Magnets are key to that conversion.

We’re running long so I’ll jump to the bottom line…

As we’ve covered in the Digest, China controls about 90% of the rare earth element (magnet) market. Obviously, that could prove problematic given strained relations between the U.S. and China, as well as the Trump’s administration Made-in-America agenda.

So, if you’re looking to invest in a U.S.-based rare earth play, Luke points toward MP Materials (MP) and USA Rare Earths (USAR).

Luke calls MP the “big dog in the U.S.” and USAR “a more speculative startup that is trying to cut out a niche for itself.”

More on this to come, but if you want to get a jump on this for your research, here’s your heads-up.

If you want Luke’s latest updates on these stocks and his official recommendations in Innovation Investor, click here to learn more.

Have a good evening,

Jeff Remsburg

The post Why the Market Could Plunge Again in Two Weeks appeared first on InvestorPlace.

It is now time to leverage them.

And for the first time, one such tool is available for everyday investors.

Our partners at TradeSmith just introduced a powerful AI tool, called TradeSmith GPT. Built on 120 million data points, it identifies precise “profit windows” – ideal times to buy and sell – with the potential to match Wall Street’s speed and accuracy.

This could mark a turning point in how you trade.

This morning, TradeSmith CEO Keith Kaplan hosted a free broadcast presentation to unveil this breakthrough. At the event, he also shared three stock picks with 100%+ upside potential.

In case you missed it, you can watch a replay of the special broadcast here.

Today, Keith is joining us today to share more about TradeSmithGPT – and how it has already flagged profit windows with potential triple-digit returns in as little as 17 days.

Take it away…

In the spring of 1901, a group of Greek divers stumbled upon a Roman-era shipwreck off the island of Antikythera. 

They weren’t searching for treasure. They were looking for sea sponges — the kind that grow on quiet reefs and were sold for a few drachmas back on shore. 

But they found something entirely unexpected at the bottom of the Aegean Sea. 

At first glance, it did not look like much – just a lump of corroded metal and wood, encrusted in coral and calcified from thousands of years beneath the sea. But when scientists used modern imaging technology to investigate what was inside, they found it housed a network of gears – some with teeth finer than those in than a modern wristwatch – stacked and intermeshed with breathtaking precision. 

They called it the Antikythera Mechanism. And it’s the oldest-known analog computer in the world, now on display at the National Archaeological Museum in Athens. 

The Antikythera Mechanism in National Archaeological Museum, Athens (Source: Wikimedia Commons) 

The Antikythera Mechanism is older than the Colosseum and older than the Christian Gospels. Yet it could predict lunar and solar eclipses, track the movements of planets, and even display the dates of the ancient Olympic Games. 

More than 2,000 years later, we’re still building machines to predict the future. But instead of gears, they run on code. 

And they don’t just track planets anymore. Thanks to a branch of artificial intelligence known as machine learning, these systems can now forecast the movement of stocks. 

In 2022, hedge fund Citadel used AI to rake in $16 billion – the largest annual profit ever recorded by a hedge fund. And here’s the kicker: This haul was mostly thanks to computer-based trading. 

But thanks to the biggest breakthrough so far in our 20-year history at TradeSmith, everyday investors like you can now also tap into the power of AI-assisted trading. 

It not only tells you the best time to profit from a trade. It can also show you the optimal type of trade to execute… with backtested gains as high as 776% in just 17 days. 

Let me show you how. 

Look at What AI Systems Have Achieved So Far 

Artificial intelligence is relatively new to the scene. And I know there are still folks who doubt its power. 

I get that.  

But think about what AI systems have been able to achieve so far. They have… 

• Decoded a 2,000-year-old scroll buried in volcanic ash. Using machine learning and X-ray scanning, researchers trained an AI to “read” carbonized papyrus scrolls destroyed in the volcanic eruption that buried Pompeii. Human eyes couldn’t read them, but AI saw patterns in the ink invisible to us. Ancient text, resurrected from ash. 
• Discovered a brand-new antibiotic. In 2020, researchers at MIT used an AI system to scan more than 100 million chemical compounds – and they found a new, highly effective antibiotic called Halicin. It works on drug-resistant bacteria.  
• Piloted fighter jets and won dogfights against human pilots. In a Defense Advanced Research Projects Agency (DARPA) test, an AI-powered fighter jet pilot beat an experienced U.S. Air Force pilot 5-0 in simulated dogfights. AI can now outmaneuver a human in life-or-death tactical decisions – with zero delay, no fatigue, and perfect memory. 
• Transformed cancer detection. AI systems can now spot early-stage cancers (like breast or lung cancer) with greater accuracy than expert radiologists, finding subtle patterns in scans and biopsies that human eyes often miss. In some trials, it reduces false positives and saves lives. 
• Predicted extreme weather better than government forecasters. A Google DeepMind model recently beat the U.S. National Weather Service in short-term storm forecasting. It can predict rainfall and dangerous weather hours in advance with unprecedented precision – a game-changer for everything from farming to hurricane evacuations. 

All of this reads like science fiction. But it’s happening right now in the real world.  

And as I mentioned up top, AI is also transforming the way we invest and trade. 

An Extraordinary Moment for Investors 

�������°� 70% of daily trading volume on U.S. stock markets — including the NYSE — is executed via algorithmic (automated) trading. 

That means when you buy or sell a stock, it’s likely that it’s not a human trader on the other end of the trade. It’s an algorithm. 

Now, quant hedge funds are beginning to rely on the latest AI chips, like Nvidia’s popular GPUs, to test some of their most advanced models. 

But I’m here to tell you that it’s not just elite Wall Street funds who get to harness the power of AI to boost their profits. Thanks to the breakthrough we’ve made at TradeSmith, everyday investors like you can, too. 

As a software engineer with a degree in computer science, I know that it takes an insane amount of research, calculation, computer processing power, trial and error – not to mention grit – to create a system that can get damn close to true foresight. 

But at TradeSmith, we’ve done it. 

As we’ve shown in our extensive backtesting, it’s now possible to see four years, eight years, even nine years of stock market gains in a matter of weeks using this AI-powered tool. 

We’re calling it TradeSmithGPT. 

Now, that doesn’t mean TradeSmithGPT will get 100% of its calls right. There will be hits and misses. 

But by harnessing its power, you’re significantly stacking the odds in your favor. 

Here’s an example I showed folks during the live demo of TradeSmithGPT. It’s a trade our system flagged on October 3, 2024…  

That’s when this AI identified a 19-day profit window opening for the popular music streaming platform stock, Spotify.  

Not only that, it identified the type of trade that would be best to execute in this window – which created a trade opportunity for a gain of 153% in just a few weeks.   

That doesn’t mean that SPOT’s stock soared 153%, of course. But it means that with this AI edge and placing a specific trade, you could have seen this triple-digit gain in less than three weeks. 

Or let’s go a few months back to July 17…   

Our system identified video conferencing stock RingCentral’s “profit window” as nine days…   

And the trade it recommended to capitalize on this profit window, brought home gains of 102%.   

Same logic applies here as it did to the SPOT trade. While RingCentral stock itself didn’t climb to skyscraper heights, the specific type of trade that TradeSmithGPT identified could have helped you grab a quick 100+% gain in mere days. 

The Window Is �������°� to Close 

The message is clear: TradeSmith’s unique AI trading tool can give you an edge where you normally wouldn’t have one in the markets. 

And it’s available right now for folks like you. 

If you missed the live demo of TradeSmithGPT, don’t worry. You can view the replay here – but only for a limited time. 

And by acting now, you’ll be ready to seize three new opportunities TradeSmithGPT just flagged… which will drop on Tuesday, July 1.  

But as I said, the replay is only around for so long. After July 1, I can’t promise you’ll ever see it again.  

Go here now – and you’ll have three fresh trade opportunities ready for you on Tuesday.  

Keith Kaplan 

CEO, TradeSmith 

The post What This 2,000-Year-Old Computer Can Teach Us �������°� Trading Today appeared first on InvestorPlace.

But instead…

Stocks are soaring. Oil prices are falling. Rate-cut odds are rising, with the market now pricing in two rate cuts by year‑end. And tech – especially anything tied to AI – is ripping higher. The Nasdaq is leading this week’s gains, as chipmakers like Nvidia (NVDA), �������°� (�������°�), and Broadcom (AVGO) are up ~2- to 6%.

Indeed, what was forecasted as a nasty market storm has turned into a rally… because geopolitical tensions that once threatened to spiral – particularly in the Middle East – have eased. Cease-fire talks between Israel and Iran are holding, and energy markets are stabilizing. 

That sudden relief has unleashed a wave of risk-on sentiment across global markets. 

And we have a sneaking suspicion that it’s just a preview of what’s coming next; a full-blown market melt-up led by the unstoppable AI Boom.

Here’s why.

Why the Market Shrugged Off War and Rallied Instead

This past weekend, the U.S. struck three Iranian nuclear facilities at Fordow, Natanz, and Isfahan. 

It was a stunning escalation in the conflict between Israel and Iran – a move that, just a few years ago, would’ve sparked oil over $100 and sent stocks plummeting 5% in a day.

But thankfully, that didn’t happen.

In fact, oil prices fell, and the stock market rallied. Why? Because savvy investors knew what was likely coming next… 

Iran responded with a small, highly telegraphed missile strike against a nearby U.S. airbase that was essentially empty. All the missiles were intercepted. There were no injuries or fatalities, and fallout was minimal.

In our view, it was a ‘symbolic’ retaliation. It allows Iran to say it at least did something in response to the U.S.’ affront. But it also allows the U.S. to say that this counterstrike was so minimal that it really isn’t worth a response.

And now? The U.S. says it’s done. President Trump declared the conflict over. And so far, the cease-fire is holding. There is no further U.S. military escalation, no World War III. 

Markets love clarity – and that’s exactly what we have now. 

It seems this Middle East flare-up will not derail the bull market. It’s noise; and it’s already fading.

Strong Growth + Soft Inflation = Perfect Backdrop for AI Stocks

Meanwhile, back home, the U.S. economy continues to hum along surprisingly well.

June’s PMI numbers came in better than expected. Composite PMI eased just slightly to 52.8 (from 53.0), still firmly in expansion territory. Manufacturing held at 52.0 – its 15‑month high – while services slipped only to 53.1. Clearly, overall business activity is still growing.

Yes, consumer sentiment has been weak. In June, the Conference Board’s Consumer Confidence Index fell from 98.4 to 93.0, driven largely by concerns around tariffs and jobs rather than immediate spending pullback.

But most likely, that dip had more to do with residual anxiety over global headlines than structural weakness.

Consumers are still opening their wallets. Core retail sales rose 3.3 % year-over-year in May, even though overall sales dipped 0.9 % month-over-month . Meanwhile, the job market remains resilient: May added 139,000 nonfarm payrolls, just above expectations, with average growth running ~144,000 per month over the last year.

And inflation is still cooling. Oil prices have plunged following the Israel‑Iran ceasefire, with crude dropping from over $77 to about $65 per barrel, helping to ease headline inflation pressures at the pump. 

It feels like we’re in the “Goldilocks” zone investors love: growth that’s just strong enough to support earnings and just soft enough to unlock Fed rate cuts.

And speaking of the Fed…

The Fed Pivot Is Here – and That’s Bullish for AI

For the last few months, the bears have insisted that the Federal Reserve would stay on the sidelines – perhaps even hike rates again – due to sticky inflation, tariff risks, and spiking oil prices.

But that narrative is unraveling fast.

Over the last week, three Fed officials – including Board Chair Jerome Powell – have floated the possibility of cutting rates as early as July. Odds of a July cut, which were just 5% last week, are now more than 25% and climbing. 

The market is now pricing in four to five cuts over the next 12 months. That’s a complete pivot… and a critical catalyst.

Rate cuts mean lower borrowing costs, a stronger housing market, multiple expansion, rising valuations, and a jolt of stimulus just as investor sentiment is starting to turn optimistic again.

This is exactly the fuel the bull market needed.

And the spark?

Still-booming AI.

AI Is Going Live in the Real World

Even with the threat of a new war on our doorstep, the AI Boom just kept marching forward, unfazed and unrelenting.

The day after the U.S.’ attacks in Iran, Tesla (TSLA) officially launched its Robotaxi service in Austin. Uber (UBER) followed by debuting autonomous rides in Atlanta with Waymo, just days after Waymo announced expansion into New York City.

Real-world AI infrastructure is going live across America right now.

But it doesn’t stop at self-driving…

Salesforce (CRM) launched its Agentforce 3 platform to meet surging demand for AI agents. Goldman Sachs (GS) rolled out an AI assistant to 10,000 employees across the firm. And Google unveiled new on-device AI for Lenovo’s Chromebook line. 

At work, at home, in your car, in your browser, the AI proliferation continues full-steam ahead.

And investors are taking notice.

AI stocks are blasting higher. Our proprietary AI Builders 15 index spiked about 4% yesterday – quadruple the S&P 500’s gain. 

Names like Uber, Mobileye (MBLY), Nvidia, Marvell (MRVL), Reddit (RDDT), and Celestica (CLS) ripped higher. Meanwhile, legacy stocks like Coca-Cola (KO) and Home Depot (HD) crawled sideways. Costco (COST) dropped.

That’s the divergence. This stock market is rewarding the future, not the past.

How to Position for the Brewing Market Melt-Up

Let’s look at the full picture here.

We now have a deescalating geopolitical backdrop, an economy that’s holding up better than expected, and a Federal Reserve that’s inching closer to easing policy. Add to that the unstoppable force of the AI megatrend, and it’s clear that powerful tailwinds remain in place.

Of course, that doesn’t mean it’ll be a smooth ride.

Volatility is still a risk. Energy shocks, policy surprises, or new flare-ups abroad could rattle sentiment. 

But even with those potential near-term bumps, it appears the broader direction of this market is tilted higher… especially in the sectors driving real innovation.

We continue to believe that the S&P could push toward 6,500 in the coming months, that AI leaders could double, even triple, from here; and that this cycle will reward vision, execution, and bold positioning.

So, here’s the key to winning in today’s market: you can’t just own any stock. You need to own the right stocks: the disruptors, the builders, the enablers – the future-makers.

Right now, the smart money is quietly accumulating positions in what could be the next trillion-dollar breakthrough.

While everyone else chases the obvious AI plays, a handful of under-the-radar companies are solving the industry’s biggest bottleneck – one that’s kept revolutionary technology locked away in labs for decades. In fact, it’s what the late, great, Steve Jobs saw as his ‘Final Vision.’

Now the solution is finally here. And we think the stocks at the epicenter of this niche could become 10X winners.

The post From Middle East Tensions to Market Euphoria: Why AI Stocks Keep Winning appeared first on InvestorPlace.

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Stocks are surging Tuesday on hopes that a ceasefire between Israel and Iran – announced last night by President Trump – will hold this time.

“This time” is a reference to how the fragile peace has already stumbled.

The ceasefire was supposed to be effective as of midnight, but in the hours since, both sides have accused the other of violating the agreement.

Earlier today, an exasperated President Trump said that both sides “don’t know what the **** they’re doing.”

Let’s go to legendary investor �������°� for more. From this morning’s Flash Alert in Growth Investor:

A little confusion going on with the situation between Israel and Iran.

Trump announced a preliminary ceasefire within 24 hours. Iran fired some missiles. Israel was still sending planes. President Trump told Israel to turn them around – don’t drop the bombs…

President Trump is on his way to The Hague for the NATO (North Atlantic Treaty Organization) meeting…

It’s still up, up and away folks. Stocks that have the best earnings are poised to prosper.

Like Louis, Wall Street is looking beyond this stop/start, seeing the end of the conflict. As I write, all three major indexes are up 1%+.

Meanwhile, safe-haven assets oil and gold are tumbling. This is unsurprising. In last Wednesday’s Digest, I wrote, “If the Israel/Iran conflict remains contained and supply remains uninterrupted, prices should drift back toward pre-conflict levels in the $60s.”

It appears that’s where we’re headed.

Longer-term investors should consider taking advantage. Top-tier oil stocks are already selling at low valuations. Meanwhile, the global supply/demand looks increasingly attractive as we look farther out.

Let’s rewind to our 9/20/24 Digest. We’ll pick up quoting CNBC:

The oil market will face a supply shortage by the end of 2025 as the world fails to replace current crude reserves fast enough, Occidental CEO Vicki Hollub told CNBC on Monday.

�������°� 97% of the oil produced today was discovered in the 20th century, she said. The world has replaced less than 50% of the crude produced over the last decade, Hollub added.

“We’re in a situation now where in a couple of years’ time we’re going to be very short on supply,” she told CNBC’s Tyler Mathisen…

For now, the market is oversupplied, which has held oil prices down…

But the supply and demand outlook will flip by the end of 2025, Hollub said.

As for gold, we’ll circle back momentarily.

First, let’s switch gears…

Consider these all-too-common investing issues:

“I started investing late – I don’t have 30 years to compound slow gains at 6.5%.”

Understood. Learn how to trade.

“Retirement’s rushing toward me. I can’t afford a market crash, but I haven’t reached my target yet so I must stay invested.”

Millions are Americans are in your shoes. Learn to trade.

“Our budget just got wrecked by surprise bills. How do we recover without sinking deeper into debt?”

You’ve got options – if you’ll learn how to trade.

“The way things are going, AI might take my job… and the next one too. How do I protect my income?”

Join the club… and learn to trade.

If you’re like me, you were raised in the school of buy-and-hold.

Trading was never taught – mostly warned against as a way that impatient investors lost money fast by targeting overnight riches.

So, when I’d hear people discussing their trading wins, I had loads of questions:

• How do you actually do it?
• How long does a trade last? A day? A week? Several quarters?
• What specific indicators inform your entry/exit timing? How accurate are they?
• Do you focus on a few big winners that offset loads of small losers? Or are tons of small-yet-consistent winners the way to go?

Without answers, I mostly stayed on sidelines. And when I tried a few trades – and lost money – retreating to buy-and-hold felt safer. You might have had a similar experience.

But as I’ve highlighted in past Digests, we’re not in the same market as decades ago. Today’s market isn’t built for passive investing alone. Greater volatility is the new norm. AI-based job disruption is real and accelerating. And the cost of living is rising fast.

In this environment, trading is becoming more essential than optional.

So, over the coming days, we’ll take some time in various Digests to look at different types of trading to provide you a starting point for your next step in sharpening this skill.

Trading can be time-intensive, especially for beginners. It demands constant monitoring of markets, researching setups, tracking economic news, and managing positions in real time.

Unlike passive investing, trading is hands-on – requiring focus, discipline, and swift decision-making. Without a system or structure, it can quickly become a full-time job.

But cutting-edge technology can help bypass a lot of this.

In recent Digests, we’ve profiled how our corporate partner TradeSmith just launched a new trading tool. It scans 120 million data points to identify prime trading moments – freeing you from having to do it yourself.

The tool then suggests the direction a stock is about to move and shows you the type of trade you can execute to capitalize on it.

These “profit windows” range in duration, specific to the stock. Here’s TradeSmith’s CEO Keith Kaplan:

For example, today, Tesla could have a 6-day window. But Apple could have a 15-day profit window. And Microsoft could have a 10-day window…

In backtests, this tool identified time windows where stocks surged so fast, it was like compressing four, eight — even nine — years of market gains into just a few weeks.

Bottom line: With this type of “trading,” you’re relying on new technology to do the heavy lifting for you.

With this style of trading, you’re basically allowing cold, impartial data and complex algorithms to guide your market moves – not your own instincts or gut feel.

While do-it-yourselfers may prefer to wield more control, studies on investor returns consistently show that we’re our own worst enemies. This is because our emotions trip us up, resulting in suboptimal market choices.

When you use technology to guide your trading, you’re handing over the reins to data and predictive analytics. You don’t have to second-guess your market decisions.

Back to Keith:

AI doesn’t enter a trade because of FOMO…

It doesn’t bias its decisions based on optimism, pessimism, or any other unhelpful human emotion.

And it doesn’t get rattled when the market opens red.

It simply follows the data.

Instead, it constantly scans the markets, analyzing millions of data points, backtesting strategies, and adjusting in real time.

Something no human – no matter how skilled – can do with the same level of speed and accuracy.

To see this in action, you can join Keith tomorrow at 10 a.m. Eastern. He’ll be holding a live demo of how this new trading platform works… what the backtests show about its results… and he’s even giving away the names and tickers of three new opportunities for July 1 that could each shoot up 100% or more in days.

To register to join immediately with just one click, click here.

Tomorrow, we’ll profile a trading method Luke Lango uses called “stage analysis.” One of Luke’s trades anchored in this approach recently passed the 200%+ milestone. I’ll tell you why tomorrow.

A few days ago, our macro expert �������°� of Fry’s Investment Report told investors that the move higher in gold was a “rally worth chasing.”

Today, gold is pulling back sharply as tensions in the Middle East cool. I suspect Eric’s response would be, this is a “pullback worth buying.”

Backing up, Eric has been a gold bull for years. He positioned his subscribers in various gold plays long before the yellow metal’s meteoric ascent that began in spring of last year.

For example, Eric’s Fry’s Investment Report subscribers who acted on his official recommendation several years ago were up 201% in Freeport-McMoRan as of yesterday’s close. More recently, subscribers are up 51% in Westgold Resources.

Let’s circle back to Eric’s analysis from a few days ago:

I rarely suggest “chasing rallies” like this one, but I suspect this rally is worth chasing.

A near-term correction could certainly strike the gold market at any moment, of course, but the long-term outlook for this ultimate portfolio hedge looks compelling.

Behind this is what Eric calls the “twin disorders” of monetary and geopolitical disorder.

Even if today’s fragile peace in the Middle East holds, we still must contend with monetary disorder.

Back to Eric:

During the last few months, CD rates – or prices – on U.S. Treasury debt have jumped to all-time highs. That trend suggests that some folks are getting nervous about a looming disaster in the Treasury market.

Rising CD rates on U.S. Treasury securities reflect a combination of risks, but the top among them is America’s soaring debt load.

Back in 2016, U.S. debt-to-GDP crept above 100% for the first time since the end of World War II. Since then, U.S. debt levels have continued ratcheting higher… and now tally nearly 125% of GDP.

Although that level of indebtedness is not fatal, it is suboptimal.

This is where gold comes in.

As I mentioned, gold is a different type of default insurance that has been soaring right along with U.S. debt levels.

Right now, dollar bills are the only asset backing U.S. Treasury debt, and the only “asset” backing dollar bills is the “full faith and credit” of the United States.

The U.S. dollar is down about 10% on the year.

That’s significant, but if we’re on the cusp of a real dollar bear market, then your buying power will be headed much lower.

Here’s Charles-Henry Monchau, CIO at Syz Group:

True US Dollar bear markets are usually 20-40%:
1970s (-30%) – End of Bretton Woods (USD delinked from gold)
1980s (-40%) – Plaza Accord (G7 nations devalued USD to reduce trade deficits)
2000s (-30%) – Post-9/11 policy shifts, Fed rate cuts

While a dollar bear would be awful for that family vacation to Europe, it would be fantastic for your gold investments.

As Eric notes, our politicians seem unable (or unwilling) to curb their spending, which impacts the dollar:

As mighty as the greenback remains, it will not retain its might without prudent stewardship of our national finances.

Although the U.S. government’s debt burden is not yet fatal, it is moving in the wrong direction, which is why Moody’s – a company that provides credit ratings, research, and analysis on companies and governments – stripped the U.S. of its Triple A credit rating last month.

As Moody’s said, “Successive U.S. administrations and Congress have failed to agree on measures to reverse the trend of large annual fiscal deficits and growing interest costs.”

Given these trends, gold deserves an allocation in every investment portfolio, including yours.

We couldn’t agree more.

Bottom line: If you’re not in gold today, this pullback is a gift.

We’ll keep you updated here in the Digest.

Have a good evening,

Jeff Remsburg

The post Stocks Surge Today and How to Trade Tomorrow appeared first on InvestorPlace.

It was the late 1970s. I was studying finance at Cal State Hayward. One of my professors had a consulting gig with Wells Fargo, and he invited me to help him run some models using the bank’s mainframe.

Up to that point, the flashiest tool I’d used was a slide rule.

Suddenly, I had access to institutional-grade computing power – and I was hooked.

But what really changed everything was what I discovered next.

I was building a model portfolio designed to track the S&P 500, but using only 320 stocks.

Only it didn’t just track the index. It beat it.

That wasn’t supposed to happen. Not according to the academic theories of the day, at least.

So, I dug deeper. I ran the numbers. And found a pattern that changed the course of my career.

See, some stocks move independently of the broader market. They had their own rhythm, their own signal. And when you isolated them early, they had the potential to deliver outsized returns.

I’ve used this core insight to build quant-driven models that have powered some of the most successful investment advisories in America.

It’s helped me deliver returns most investors didn’t think possible – and do it consistently.

For instance, my Growth Investor advisory service (previously named Blue Chip Growth) more than doubled the average return of the S&P from 1998 to 2024.

But through all those years, there was one tool I never had access to – artificial intelligence.

Not when I was learning the ropes. Not when I was building my first models. And certainly not when I was publishing out of my garage.

Which is why what I’m about to share with you is so important.

You see, I’ve just tested a next-generation trading system built on a new kind of financial AI.

It’s called TradeSmithGPT. It’s built by my colleague Keith Kaplan and his team of top data scientists and programmers over at TradeSmith, our corporate partner. And it’s nothing short of incredible.

It can compress years’ worth of stock market gains into a matter of weeks… with backtested gains as high as 776% in just 17 days.

So, in today’s Market 360, I want to spend some time talking about just how powerful this system is and invite you to learn more about it tomorrow at 10 a.m. ET (register instantly here).

And because I want every reader to understand just how easy it is to put this AI system at their fingertips, I’ve arranged access to a “lite” version of TradeSmithGPT for you to try.

Let’s dive in…    

This Trading Tool Learns From Its Mistakes

By now, you’re probably used to ChatGPT and other Large Language Models (LLMs) such as Google’s Gemini and Elon Musk’s Grok.

They’ve been trained to spot patterns in billions of written words from books, articles and websites to understand and generate human-like text.

TradeSmithGPT is what you might call a Large Numbers Model.

Instead of being trained to spot patterns in words, it’s trained to spot patterns in 120 million stock market data points. It draws on 4.2 million historical price outcomes over seven years for more than 2,400 stocks.

The system also looks at 88.9 million daily forecasts. These cover 21 forecast days, for each of these stocks, on every trading day.

And it learns from these forecasts.

For every prediction it makes, it tracks how accurate it was. Over millions of these predictions, it builds a reliability score. As Keith explains it…

Think of it like a weather forecaster who says, “There’s 80% chance of rain tomorrow.”

Weather forecasters don’t have crystal balls. Instead, they harness the power of statistical probability. What they mean is that, in a given area, under similar atmospheric conditions, it rained 80% of the time in the past.

And like TradeSmithGPT, these forecasting tools are calibrated based on how accurate they’ve been in that region over time.

For example, if every time they forecast an 80% chance of rain in New York… and it only rained 50% of those days… the model will get recalibrated.

That’s part of why weather forecasting has gotten dramatically more accurate in the last couple of decades – it’s machine learning in action.

Specifically, Keith’s AI-powered trading tool looks for “profit windows” – ideal timeframes to trade a stock on any given day.

For example, today, Tesla could have a 6-day window. Apple could have a 15-day profit window. And Microsoft could have a 10-day window.

These are times when Tesla, Apple and Microsoft tend to move the most. Even better, these moves don’t have to be to the upside.

All the system looks for is times when stocks tend to move a lot. Then it figures out how to place trades – bullish or bearish – to profit from those moves.

That means it can deliver profits no matter what the market is doing.

For example, in backtests, this system flagged gains of…

• 89% in 1 day…
• 153% in 18 days…
• 339% in 18 days…
• 432% in 5 days…
• Even 776% in 17 days.

To be clear, these are historical simulations, not guarantees. But as someone who’s built quant systems since the 1970s, I can tell you – this is the real deal.

Which is why I’m urging you to clear your schedule for tomorrow, June 25 at 10 a.m. ET.

That’s when Keith will reveal exactly how this breakthrough AI tool works — and how you can start using it immediately.

This event isn’t open to the public. But as a Market 360 reader, you can claim a private access link automatically right here.

Even better – when you sign up, you’ll get access to a “lite” version of TradeSmithGPT so you can test it yourself.

When you see what it’s capable of, you may never need another trading software again.

Sincerely,

�������°�

Editor, Market 360

The post This New Financial GPT Is Nothing Short of Incredible appeared first on InvestorPlace.

In that time, AI has rapidly proliferated throughout the global economy – and made astounding progress along the way. And as a result, we’ve now officially entered a new era…

One where powerful AI-driven trading systems are raking in massive gains; and seasoned investors not able to take advantage are watching their portfolios flatline.

This could mark a turning point in how we all trade – especially because this type of ‘secret weapon’ won’t be strictly reserved for hedge funds much longer…

Tomorrow morning, Wednesday, June 25 at 10 a.m. EST, TradeSmith CEO Keith Kaplan will be introducing a powerful new AI tool: TradeSmithGPT. Built on 120 million data points, it identifies precise “profit windows” – ideal times to buy and sell – with the potential to match Wall Street’s speed and accuracy.

Keith will also share three stock picks with 100%-plus upside potential at tomorrow’s event. And if you register now, you’ll be able to ‘test drive’ this system for a limited time, too.

We’ve invited Keith to share a bit more about this breakthrough and how it came to be in today’s issue. So, without further ado, here’s Keith Kaplan.

It’s the largest haul in hedge fund history…

In 2022, while most investors were nursing double-digit losses, Ken Griffin’s Citadel hedge fund took in $16 billion in profit.

That’s about $9.7 million every hour the market was open – more than most folks make in a lifetime.

This record-breaking haul didn’t come from a hot tip… or a lucky “big short.” 

Instead, Citadel built a machine that could out-trade the world.

You see, most of Citadel’s portfolios aren’t run by humans – they’re run by systematic models and machine learning, a powerful branch of AI.

To be clear, Citadel’s trading is not just assisted by machines. It’s run by them, end to end.

That old image of a trader – a guy in a suit and braces, watching over a bunch of charts, tickers, and news feeds – is headed for the history books.

And it’s not just Citadel that’s using AI systems to manage vast sums of money. So is the world’s largest asset manager, BlackRock (BLK).

Its AI-powered Aladdin system (which stands for Asset, Liability, and Debt, and Derivative Investment Network) manages risk and decision-making across $21 trillion in assets. 

That includes $10 trillion in assets BlackRock manages as well as the assets of clients such as Apple (AAPL), Google, and the World Bank.

To put that in context, globally there is an estimated $100 trillion in assets under management. That means 1 in every 4 investment dollars on Earth flows through Aladdin’s “brain.”

Why am I telling you this?

As Ken Griffin put it: “The role of human discretion in trading is diminishing. The future belongs to those who can build the best models.”

Until now, these kinds of models were the exclusive domain of Wall Street giants. But that’s about to change.

Thanks to the biggest breakthrough so far in our 20-year history at TradeSmith, self-directed investors like you can now tap into the power of AI-assisted trading.

It gives individuals a fighting chance in a market increasingly dominated by hedge funds, institutions, and algorithmic trading. 

And hands down, it’s the most exciting piece of software I’ve worked on in my 25-year career.

I’ll be getting into all the details, on camera, on Wednesday, June 25, at 10 am ET. So, make sure to join the early access list here. 

Then read on to see why attending could be a game-changer for your own wealth building goals.

Do You Fall Into These Psychological Traps?

The No. 1 enemy of successful trading is human emotion. 

Fear, greed, hesitation. These aren’t just buzzwords – they’re the psychological traps that cause folks to miss opportunities, panic sell, or hold on too long. 

Don’t just take my word for it. 

Every year, market research firm Dalbar publishes a report on investor behavior called Quantitative Analysis of Investor Behavior.

It analyzes how individual investors perform versus the markets. The goal is to measure the impact of investor behavior on returns — and it’s always a sobering read.

In April, Dalbar released its latest report, which covers 2024. And it showed that the average stock market investor earned 16.5% last year compared with the S&P 500’s 25% return. 

That gap is the fourth-largest underperformance since Dalbar began tracking investor behavior trends in 1985.

What accounts for this woeful underperformance?

The report cited nine types of behavior that plague investors…

• Loss aversion – expecting to find high returns with low risk
• Narrow framing – making decisions without considering all implications
• Mental accounting – taking undue risk in one area and avoiding rational risk in another
• Diversification – seeking to reduce risk, but simply using different sources
• Anchoring – relating to familiar experiences even when inappropriate
• Media response – the tendency to react to news without reasonable examination
• Regret – treating errors of commission more seriously than errors of omission
• Herding – copying the behavior of others, even in the face of unfavorable outcomes
• Optimism – the belief that good things happen to them, while bad things happen to other people

Now, I’m not saying you fall into all nine of these traps. But if you’re anything like the average investor, chances are a few will sound familiar.

And as Dalbar has shown year in and year out, that hurts your returns.

But AI doesn’t suffer from these behavior problems.

An AI Trading System Doesn’t Flinch

As the folks at Citadel and BlackRock know, AI doesn’t flinch.

It doesn’t enter a trade because of FOMO… 

It doesn’t bias its decisions based on optimism, pessimism, or any other unhelpful human emotion.

And it doesn’t get rattled when the market opens red.

It simply follows the data.

And unlike a human trader, AI doesn’t sleep, take breaks, or need a vacation. 

Instead, it constantly scans the markets, analyzing millions of data points, backtesting strategies, and adjusting in real time. 

Something no human – no matter how skilled – can do with the same level of speed and accuracy.

That’s why, by leveraging AI, you can start to level the playing field with elite Wall Street firms. 

And it’s why my team and I at TradeSmith are releasing a powerful new AI tool that can pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day.

It’s engineered on over 120 million data points, including…

• 4.2 million historical price outcomes across more than 2,400 stocks over seven years
• 88.9 million daily forecasts that model price movements across a 21-day horizon
• Tens of millions of “validation” runs, which refine accuracy and confidence with each new day of data

And the results are stunning.

In backtests, this tool identified time windows where stocks surged so fast, it was like compressing four, eight — even nine — years of market gains into just a few weeks.

Of course, seeing is believing.

That’s why I’ll be demonstrating this new proprietary AI tool, on camera, during my presentation next Wednesday.

I’ll also be passing along the names and tickers of three new opportunities for July 1 that could each shoot up 100% or more in days.

So, if you want to be among the first to see this new AI in action… 

Here’s that link again to join our early access list.

While you’re there, you can preview TradeSmithGPT for yourself – for a limited time.

To smarter investing,

Keith Kaplan
CEO, TradeSmith

The post AI Trading Is Beating Wall Street at Its Own Game appeared first on InvestorPlace.

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Over the weekend, the U.S. struck three Iranian nuclear facilities – Fordow, Natanz, and Isfahan – with B‑2 bombers, bunker–buster bombs, Tomahawks and other munitions.

In response to the U.S. actions, Iran’s parliament voted to close the Strait of Hormuz, ushering the possibility of a global oil choke point. Final approval will come from Iran’s Supreme National Security Council.

We highlighted this risk in our 6/13 Digest:

�������°� one-fifth of the world’s oil passes through it daily, making it one of the most important passages in the world.

If it’s closed off or mined in retaliation to the Israeli strikes, the impact on oil prices could be dramatic.

According to Natasha Kaneva, head of global commodities research at JP Morgan, oil could spike to $120 per barrel – possibly higher – if Iran shuts down the Strait of Hormuz.

As I write Monday, oil prices are easing after spiking overnight.

Brent Crude (the European benchmark) popped more than 5%, pushing above $81. It’s now pulled back to $72.67.

WTI Crude (the U.S. benchmark) also hit its highest level since January before easing. It’s down to about $70.00.

For context, less than one month ago, WTI crude traded at $59.74. So, we’re building on a 20%+ rally.

Select fossil fuel leaders have also climbed. ConocoPhillips (COP) is up about 10% since the end of May; and Exxon (XOM) has tacked on around 12% over the last two weeks.

This is why, for months, we’ve encouraged investors to build positions in high-quality oil and natural gas stocks while prices were depressed. You can’t predict the exact catalyst, but when geopolitical tensions erupt, oil can surge in a heartbeat.

Looking forward, as we noted in our 6/13 Digest, even if cooler heads prevail in the Middle East, there are compelling structural reasons to be bullish on oil stocks in the back half of 2025.

Bottom line: If you hold top-tier oil/gas stocks, keep holding. And if prices drop in the coming weeks, consider establishing positions in the leaders on your watch list. Fossil fuels will continue to play a critical role in powering our global economy for years to come.

At last week’s June FOMC meeting, the Federal Reserve held interest rates steady at the current target rate of 4.25% – 4.50%.

We covered Louis’ initial reaction (which was largely positive), promising that we’d bring you his detailed analysis later. Let’s circle back.

If you’re a regular Digest reader, you’re aware of Louis’ case for why the Fed should be cutting rates today: namely, inflation has collapsed. Louis has gone on record in his service Growth Investor saying the Fed is waiting for an “Inflation Bogeyman” that has yet to materialize.

But in his latest update, this market veteran added a second reason why the Fed needs to begin cutting now: a weakening consumer.

From Louis:

Retail sales fell for the second straight month – the first time that’s happened since 2023:

• Building materials and garden store sales dropped 2.7%
• Gas station sales fell 2%, mainly due to cheaper fuel
• Vehicle sales slid 3.5%

But the biggest surprise to me was that sales at bars and restaurants declined 0.9%. That’s after they rose 1.2% in the previous month.

What this tells me is that despite cheaper gas prices, consumers were more cautious – they didn’t go out to eat and drink with their savings.

Even more troubling: Housing starts fell to their lowest level in five years.

Housing is a cornerstone of the U.S. economy. This kind of drop doesn’t happen unless rate pressure is crushing demand.

Though Louis stopped short of predicting exactly when the Fed will cut, he says it’s coming.

Coming into this morning, the prevailing opinion among traders was that the first cut would arrive in September.

The CME Group’s FedWatch Tool had assigned a 71.8% probability to the Fed cutting the fed funds rate by at least one quarter-point at the September meeting.

But this morning, Federal Reserve Governor Michelle Bowman said that she leans toward a cut in July as long as inflation pressures remain low.

Here’s CNBC:

In remarks for a speech in Prague, Bowman became the second central banker in recent days to suggest that President Donald Trump’s tariffs are likely to have a temporary and muted impact on prices, thus paving the way for lower rates.

“Should inflation pressures remain contained, I would support lowering the policy rate as soon as our next meeting in order to bring it closer to its neutral setting and to sustain a healthy labor market,” she said in prepared remarks.

Traders have noticed…

Yesterday, the odds of a June cut came in at 14.5%. As I write Monday morning, they’ve jumped to nearly 23%. Of course, if Iran shuts down the Strait of Hormuz, resulting in sustainably higher oil prices, that might be a monkey wrench for cuts.

We’ll keep you updated and will bring you more from Louis as it crosses our desk.

Earlier this month, Bloomberg ran a piece titled:

Retail Stock Investors Can Now Imitate the Pros With AI Trading Tools

The topline takeaway?

The retail crowd once followed the “loudest voice,” without really understanding advanced investment concepts. They just wanted to know the next hot stock. But today, they’re increasingly turning to AI tools, giving hedge funds a run for their money.

Here’s Bloomberg:

The democratization of AI-driven platforms would change all of that, giving retail traders the ability to scan thousands of stocks and respond to real-time data as fast as sophisticated qualitative hedge funds…

Investors are already seeking opportunities in less crowded parts of the market…

Research and portfolio construction are the main areas where small investors use AI.

In March, Robinhood Markets Inc. unveiled its AI tool called Cortex, which summarizes all variables that affect the stock price and can simplify the trading process, even for more complex strategies like options, helping clients find potential trades that align with their risk thresholds.

Last Friday, we profiled the latest AI investment tool from our corporate partner, TradeSmith. In our opinion, it’s the most advanced trading technology available to retail investors.

Here’s TradeSmith CEO Keith Kaplan:

My team and I at TradeSmith are releasing a powerful new AI tool that can pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day.

It’s engineered on over 120 million data points, including…

• 2 million historical price outcomes across more than 2,400 stocks over seven years
• 9 million daily forecasts that model price movements across a 21-day horizon
• Tens of millions of “validation” runs, which refine accuracy and confidence with each new day of data

And the results are stunning.

In backtests, this tool identified time windows where stocks surged so fast, it was like compressing four, eight — even nine — years of market gains into just a few weeks.

It’s much easier to see this tool in action. So, Keith is giving a live demonstration on Wednesday at 10 a.m. eastern.

He’ll also be passing along the names and tickers of three new opportunities for a July 1 “profit window” with potential to double your money or more in days.

If you want to be among the first to see this new AI in action, here’s the link to join Keith’s early-access list.

Whether you join Keith or not, it’s critical to recognize that this is where investing is headed. AI will increasingly influence market decisions that impact your portfolio.

Back to Bloomberg:

“The orders of magnitude of what becomes possible are mind-boggling,” said Jan Szilagyi, founder and CEO of Reflexivity.

“As people see the kind of the magic and the power of what has been happening in the AI space, they’ve come to understanding that this is not a 10% or a 20% improvement, it’s a hundred times difference.”

Besides the enormous trading benefit, we encourage you to join Keith on Wednesday just to learn more about how quickly AI is transforming investing. It’s eyebrow-raising – and something that do-it-yourselfers need to keep on the radar.

Less than two weeks ago, news broke that Google has initiated a Voluntary Exit Program (VEP) across its U.S.-based divisions, including Search, Ads, and Core Engineering.

This follows similar actions earlier this year in other departments, such as Platforms and Devices, where voluntary buyouts preceded significant layoffs.

The subtext here is unmistakable – Google is reshaping its workforce to align with its AI-first future.

Roles in marketing, communications, search, and even research – once foundational – are increasingly viewed as automatable. This is a calculated shift away from human-heavy functions and toward AI-augmented efficiency.

Let’s be candid about what’s happening…

If your job can be done by software, it’s on borrowed time.

Google, like many of its peers, is using buyouts and restructuring to clear the runway for AI-driven operations. And while this may improve margins and speed innovation, it also signals a major labor market disruption that’s only just beginning.

Let’s return to our 10/7/24 Digest:

Imagine a billiards table with its pool balls spread about the table randomly…

Now, imagine hoisting up a corner of the table so that all the balls roll into a single pocket.

This is the financial impact of Artificial Intelligence (AI) on global wealth.

AI is lifting the billiards table… the pool balls are global wealth/investment capital… and the one pocket receiving all the balls are the owners of the businesses that wisely and effectively implement AI technologies.

What about the five other empty pockets?

Well, they’re the businesses that fail or are unable to adapt to next-gen AI technology or business models. They’re also the “regular Joes” who get shafted financially as AI steps in to do their jobs faster, better, and cheaper.

This is happening as we predicted – and at an accelerating pace.

In recent months, we’ve brought you some of our analysts’ top ideas for exactly how to do this.

Here’s the latest from our technology expert Luke Lango of Innovation Investor:

The AI boom is entering a new phase.

Instead of building ever-larger models, companies are now racing to deploy them more efficiently through inferencing, which is opening the door for a new class of stock market winners.

Training demanded massive GPUs and memory. By contrast, inferencing rewards low-latency, energy-efficient chips and edge compute solutions, shifting capital flows across semiconductors, data centers, and networking.

Nvidia remains dominant, but firms like �������°�, Amazon, Arista, Broadcom, Qualcomm, and Astera Labs are increasingly critical to real-world AI deployment.

The winners of this infrastructure evolution could easily be 10X opportunities.

(Disclaimer: I own �������°� and Amazon.)

I’ll add that Luke just went on record saying that the biggest AI stock winners of the next few years will come from a sector driven by powerful inferencing.

It’s one that Elon Musk is obsessed with… that President Trump has recently shown interest in… one that even the late, great Steve Jobs wanted to bring to fruition; his “Final Vision.”

We’re running long today, but Luke just put together a free, new research video on this “Final Vision” which you can check out here.

And a reminder to join Keith on Wednesday at 10 a.m. eastern to learn more about not just investing in AI – but with AI.

Bottom line: AI is changing everything. Make sure you’re changing with it.

Have a good evening,

Jeff Remsburg

The post The Oil Price Rollercoaster from Mideast Tensions appeared first on InvestorPlace.

As I write this, the market is holding steady, but physical damage is still being assessed. Meanwhile, today Iran launched missiles at a U.S. base in Qatar, although reports indicate no damage was sustained.

Because of all this, all eyes are on oil prices. Because if they spike, it could push up inflation around the globe, thus making central banks decide not to cut interest rates. So, we’ll see what happens.

Now, for this week, we have a couple of crucial reports to watch for: The University of Michigan’s Consumer Sentiment Index and the Personal Consumption Expenditures (PCE) Index, the Fed’s favorite inflation indicator.

I’ll discuss what I expect from these reports in this week’s Navellier Market Buzz. I’ll also explain what the annual Russell Realignment is and why it lifts small-cap stocks every June.

Click the image below to watch now.

You can subscribe to my YouTube channel here.

Your New Stock-Picking Assistant

�������°� 40 years ago, while I was in college, I developed a system that was originally designed to mimic the S&P 500.

But there was a problem.

It didn’t match the S&P… I was able to beat it.

After learning why, and years of tweaking and refinement, that system became known as Stock Grader (subscription required).

Back then, the idea of using quantitative principles to find “what works” in the market and then systematically finding winning picks was revolutionary.

Today, these ideas are now used in financial markets across the globe…

Of course, technology has come very far since then, and the AI Revolution is only adding fuel to the fire.

For example, the folks over at TradeSmith, our corporate partner, have developed a new system that brings the power of AI-driven investing right to your fingertips.

It’s called: TradeSmithGPT.

This AI-powered model uses millions of financial datapoints to pinpoint each stock’s “profit window,” or the ideal time frame to trade a stock, on any given day.

The end result? A real-world model of what should come next with a 75% accuracy rate.

And on Wednesday, June 25 at 10 a.m. Eastern, TradeSmith CEO Keith Kaplan will show you exactly how it works.

You’ll learn exactly what this new breakthrough AI software is, how it works, how to use it and why it will be critical to your success in the markets during 2025.

But fair warning: Keith’s live broadcast will not be available to the general public.

To receive your private access link, click here to sign up for free.

When you do, you’ll also get immediate access to a “lite” version of TradeSmithGPT for a limited time to test it out for yourself.

Sincerely,

Editor, Market 360

�������°�

The post Why Small-Caps Boom in June & What the Fed Just Signaled appeared first on InvestorPlace.

If you were to compare human beings to companies, there aren’t many similarities to hang your hat on.

For starters, we are, obviously, alive, and companies are not.

However, companies are living, breathing organisms – they just so happen to subsist on a steady diet of market share gains and/or expanding profit margins.

And also much like us fragile humans, companies enjoy a lifetime of indeterminate length. But their lifespans do eventually come to an end.

Most investors ignore or overlook this important reality. They tend to think of their core investments as “forever stocks.”

But that sort of perspective can be a dangerous one – especially now that artificial intelligence is running amok in the global economy.

AI is spawning thousands of such companies, many of which will conquer and replace established companies that may seem indomitable today, if not immortal.

That’s the process an Austro-Hungarian economist by the name of Joseph Schumpeter called “creative destruction”… and it is an inescapable facet of economic lifecycles.

As investors, therefore, we cannot afford to bemoan new technologies like AI; we must embrace them. Companies will come and go, whether we like it or not.

Take Blockbuster Inc., for example. It was the king of the hill in the movie rental business. But then along came rental channels that provided a measure of efficiency, like when Netflix began offering DVDs by mail.

So, our mission is to cozy up to the up-and-comers, and steer clear of the down-and-outers.

Unfortunately, because the process of creative destruction resembles a chaotic war zone, we cannot always identify the winners or the losers immediately. But this essential two-part test can help cut through the fog of war to provide clarity and insight, long before the hostilities end.

The test relies on one word: efficiency.

Since the process of creative destruction is a war of efficiency, the creator-victors of this war provide efficiency gains, or utilize them. The “destroyee”-victims do not.

It is the secret sauce that converts upstart companies into world dominators.

Recent geopolitical events – like the U.S.’s strikes against Iran’s nuclear sites over the weekend and Iran’s missile attack on a U.S. base in Qatar today – also work to highlight the importance of efficiency, as companies that can quickly adapt or secure their supply chains using advanced technologies like AI will become victors.

So, when analyzing new investment opportunities, or evaluating existing positions in your portfolio, ask yourself these two questions…

If the answer to either question is “Yes,” congratulations – you’ve probably got a creative winner on your hands.

If the answer to both questions is “Yes,” you’ve definitely got one.

The inverse is also true, of course. Companies that elicit a “No” answer to both questions are heading for the “destroyee” side of the creative-destruction spectrum.

Efficiency gains do not always show up immediately in financial statements, but they do show up eventually in various ways: Expanding profit margins, a growing market share, rising revenues, or all of them at once.

One of America’s earliest success stories illustrates the power of efficiency.

But first, let’s take a quick look back at what we covered here at Smart Money last week.

Smart Money Roundup

Game On: Inside Meta’s $15 Billion Quest for the AGI Trophy

June 16, 2025

In the world of artificial intelligence, companies are joining forces to achieve the intangible artificial general intelligence (AGI) trophy, one that will award the winner market dominance and massive profits. And now, Meta Platforms Inc. (META) seems to have found its partner in the AGI race. Continue reading to learn Meta’s latest developments in AI, and the best way to play AGI as it continues to quickly develop.

What Gold Knows That Congress Keeps Ignoring

June 18, 2025

Few of us lose any sleep over the U.S.’s soaring indebtedness. But “not yet” is not the same thing as “not ever.” The U.S. has started to probe the outer limits of debt accumulation… and the gold market is watching. In Wednesday’s issue, I share why gold has been soaring right along with U.S. debt levels and why it deserves an allocation in your investment portfolio. I also coverone of the best gilded investments for you to make.

Take This One Step to Avoid AI’s Extinction Event

June 21, 2025

Innovation doesn’t just build new industries – it burns the old ones to the ground. And right now, we’re seeing a wildfire of creative destruction triggered by AI. It’s the kind of event that permanently rewrites the investing landscape. If you’re holding the wrong companies, you won’t just underperform – you’ll get wiped out. Click here to find out how to keep your portfolio on the right side of that Darwinian reckoning and while continuing to profit through.

June 22, 2025

As Citadel CEO Ken Griffin put it: “The role of human discretion in trading is diminishing. The future belongs to those who can build the best models.” Until now, these kinds of models were the exclusive domain of Wall Street giants. Thanks to the biggest breakthrough so far in TradeSmith’s 20-year history, self-directed investors like you can now tap into the power of AI-assisted trading. 

Looking Back… and Looking Ahead

As I mentioned, this earlier American success story had the secret efficiency sauce…

Ford Motor Co. (F).

During its formative years in the early 1900s, this company’s profile would have provided a resounding “Yes” to both of my efficiency tests.

When Henry Ford sold his first Model T vehicles in 1908, the sticker price was $850. But after he and his team had developed an efficient moving assembly line in 1913, he was able to price the Model T at just $440.

Thanks to additional refinements, Model T prices continued falling for several years, until finally bottoming out at $260 in 1925. Not surprisingly, as sticker prices dropped year by year, annual sales skyrocketed.

Case studies of corporate successes like Ford inform my investment process at Fry’s Investment Report. Up and down the portfolio, we find companies that are either introducing new efficiencies, applying new efficiencies, or both.

Take Corning Inc. (GLW), for example.

The company’s market-leading products across several high-demand categories provide dramatic efficiency gains. Its fiber-optic components significantly boost data-transmission capacity in numerous end uses, like data centers.

Including…

• A Korean company that emulates the Amazon-like business model to revolutionize retail commerce in the country – i.e., the goods come to your door, rather than you going to where the goods are sold.
• An energy firm that uses state-of-the-art electric fracking rigs in combination with AI technology to deliver market-leading efficiencies in the oil extraction business.

To learn more about these companies – and the rest of my efficiency plays – join me at Fry’s Investment Report today.

And what’s more: Our partners at TradeSmith are using AI to level the trading playing field between the everyday investor and Wall Street. They’ve developed a powerful AI tool designed, called TradeSmith GPT.

It identifies precise “profit windows,” or the ideal timeframe to trade a stock on any given day.

And on Wednesday, June 25 at 10 a.m. Eastern time, TradeSmith CEO Keith Kaplan will host a free broadcast presentation to unveil this breakthrough.

I will share more about this breakthrough later this week; but for now, when you sign up for the event, you will receive access to a “lite” version of the system to try it out yourself.

Click here to sign up for free.

Regards,

�������°�

The post The Two Questions to Ask to Find the Next World-Dominating Companies appeared first on InvestorPlace.

Once again, markets are on edge… 

What began as a localized battle in the Middle East has escalated, with the U.S. getting directly involved in the fight. 

The once-regional conflict erupted earlier this month, when Israel launched a series of attacks against Iran, largely targeted at some of the nation’s nuclear sites. Iran responded in kind. And while the U.S. did help to intercept projectiles launched at Israel, it remained on the periphery – until this past Saturday, June 21. 

That’s when it began its “Operation Midnight Hammer.” First, a group of B-2 stealth bombers dropped explosives on multiple targets at Iran’s Fordo and Natanz sites. Then, as NPR states, “just as the bombers were entering Iranian airspace, a submarine launched more than two dozen Tomahawk missiles at the Isfahan nuclear site.”

To be expected, some cheered the move as they believe Iran should never be allowed to create a nuclear weapon. Others denounced it, like U.N. Secretary-General António Guterres, who sees the U.S.’ attack as a “dangerous escalation in a region already on the edge – and a direct threat to international peace and security.”

Now folks are left wondering if the nations can find their way back to diplomacy… or if the United States has just begun another war in the Middle East…

A Boom Unshaken by Conflict

As we’ve mentioned in a previous issue – around the time of Israel’s own initial strikes – geopolitical conflict brings with it profound human and societal consequences, far beyond markets and headlines. 

These developments rightly draw global concern. While short-term volatility is inevitable during global crises, it’s also important to recognize the broader structural trends that continue to shape the future. 

Even amid emerging crises, the AI Boom remains unfazed. AI chips are being bought. Data centers are being built. Energy facilities are being commissioned. New models are being developed, and AI agents are being deployed. 

While today’s headlines are unsettling, AI is still rapidly proliferating throughout the global economy.

And we see a hidden investment opportunity lingering beneath the surface…

Nvidia’s $500 Billion Bet on U.S. AI Infrastructure

Let’s start with the kingmaker: Nvidia (NVDA), arguably the most important company in AI today.

The firm just announced plans to invest up to $500 billion into American AI infrastructure over the next four years.

That’s half a trillion dollars.

And it’s already happening.

• Production of Nvidia’s latest chip, the Blackwell, has officially begun in Phoenix, Ariz., at Taiwan Semiconductor Manufacturing Company’s (TSM) new U.S. plant. That’s right; TSM, Taiwan’s silicon giant, is making its crown jewel chip for Nvidia on American soil.
• Nvidia is also building supercomputer manufacturing facilities in Texas through partnerships with Foxconn (FXCOF) and Wistron. That marks the first time ever Nvidia will make these machines in the U.S.
• It’s also teaming up with Amkor Technology (AMKR) and Siliconware Precision Industries to develop packaging and testing operations, all based in Arizona.

And here’s the kicker:

This is all happening after the White House exempted electronics components from the Chinese reciprocal tariffs.

Despite still sourcing many components from China, Nvidia still decided to go big on American soil. That says everything.

Regardless of how this trade war ends – whether tariffs persist or evaporate, trade deals are signed or supply chains snap – Nvidia has decided that the future of AI infrastructure is American.

And it’s not the only one…

Big Tech Joins the American AI Boom

Nvidia may be the headliner, but the chorus of companies backing the American AI Boom is loud – and growing louder by the day.

• Apple (AAPL) recently pledged to invest $500 billion in the U.S. over the coming years, including the construction of a massive AI server facility in Houston, expected to open in 2026.
• Meta (META) is pumping $10 billion into its largest-ever data center campus in northeast Louisiana, exclusively dedicated to AI development.
• Microsoft (MSFT) just tripled its original proposal, announcing a $3.3 billion investment to build an AI superhub in southeast Wisconsin.
• OpenAI, Oracle (ORCL), SoftBank (SFTBY), and others have teamed up under the White House’s Project Stargate, pledging to invest up to $500 billion into AI infrastructure and innovation hubs across the U.S.

This is more than a boom. It’s an explosion.

Why AI Reshoring Is the New National Imperative

Why the sudden rush to reindustrialize America’s tech backbone?

Because the trade war has exposed the fragility of globalization.

With tariff risks rising and geopolitical tensions simmering, Big Tech is de-risking its supply chains. And the best way to do that is to build at home.

But it’s not just about economics anymore. It’s about national security.

AI is not consigned to boosting efficiency in the office or creating artwork on a dime. It’s becoming the backbone of 21st-century power – military, economic, technological, and cultural.

Just consider Palantir (PLTR). As Bloomberg reported, “the firm’s artificial intelligence and analysis tech gathers data from third-party sensors and systems, including satellites. The tools then distill the information, giving soldiers more awareness of their surroundings and helping them hit targets faster and more accurately.”

Control over AI infrastructure means control over future prosperity.

The White House knows it. So does Nvidia, Microsoft, and every other company racing to erect fabs and data centers across the American heartland.

What began as a tariff tantrum may very well end in the largest technological buildout on U.S. soil since the interstate highway system.

AI Stocks to Watch in America’s Industrial Renaissance

While the headlines warn about destruction, the groundwork is still being laid for creation.

And in times like these, seasoned investors often turn to a time-tested principle: stay level-headed when fear dominates the headlines. Amid uncertainty, opportunities can emerge for those who remain focused on long-term trends.

The intensifying situation in the Middle East has created fear. Tariffs have created pain. But through that fog, the signal is clear:

Capital is coming home. Infrastructure is being built.

AI is going domestic.

That’s rocket fuel for an American AI Boom.

So, what’s the move?

You don’t need to chase every bounce or time every dip.

Instead, what you should be doing is building your AI stock watchlist and looking for entry points as fear creates opportunity.

Focus on:

• Semiconductor leaders reshoring U.S. production (think NVDA, �������°�, TSM partners).
• AI software companies (like PLTR, AXON, META, MSFT).
• Advanced manufacturing plays in packaging, testing, and thermal systems (such as SNPS, COHR, AMAT).

For investors watching AI stocks closely, this reshoring wave signals a potential multi-year uptrend

This is the dawn of the Fourth Industrial Revolution; and it’s being built on American soil.

Final Word: Getting Positioned for the Biggest Profit Potential

Right now, Iran is threatening retaliation for the U.S.’ destructive “Operation Midnight Hammer.” And no one knows if it will follow through, or even just how it would do so.

Trust us when we say that we understand why a lot of people are afraid right now. 

But we also see the bigger picture coming into focus here.

If markets can hold steady through this level of turmoil, imagine the strength they could show in recovery.

The time to start buying AI is not when the news gets better.

It’s right now – while the future is being built, brick by brick, right here at home.

And we’ve been eyeing a specific corner of the market that may have the biggest profit potential of them all. 

It’s one that Elon Musk is obsessed with… that President Trump has recently shown interest in… one that even the late, great Steve Jobs wanted to bring to fruition; his ‘Final Vision.’

Jobs was one of the most successful and innovative tech visionaries of our time. He was known for his impressive ability to ‘see around corners.’ And while he may have been early to the party during his lifetime, a different innovator – Tesla’s (TSLA) Elon Musk – has picked up his old torch and is bringing Jobs’ dream to life.

We’re confident that this niche of the AI industry will transition from obscurity to ubiquity over the next few years. As it does, the stocks at the epicenter of this niche could become 10X winners.  

And with a major announcement slated for July 21, Musk may be about to hit the gas in a big way. That’s why we just held an urgent briefing all about this ‘Final Vision’ and how to get positioned for the potentially massive profits to come.

Learn about the future Steve Jobs saw coming.

The post War, Tariffs, and the $500 Billion AI Buildout Happening Anyway appeared first on InvestorPlace.

This Week’s Ratings Changes:

Upgraded: Buy to Strong Buy

Downgraded: Strong Buy to Buy

Upgraded: Hold to Buy

Downgraded: Buy to Hold

Upgraded: Sell to Hold

Downgraded: Hold to Sell

Upgraded: Strong Sell to Sell

Downgraded: Sell to Strong Sell

To stay on top of my latest stock ratings, plug your holdings into Stock Grader, my proprietary stock screening tool. But, you must be a subscriber to one of my premium services. Or, if you are a member of one of my premium services, you can go here to get started.

Sincerely,

�������°�

Editor, Market 360

The post Weekly Stock Grader Analysis: Upgrades & Downgrades on Top Blue-Chip Stocks appeared first on InvestorPlace.

Thanks to AI, machines are now driving massive gains. In 2022, for instance, Citadel made $16 billion while most investors took losses, all thanks to a powerful AI trading system.

And soon, for the first time, a tool built on similar principles will be available for everyday investors.

Our partners at TradeSmith are introducing a powerful AI tool designed, called TradeSmith GPT. Built on 120 million data points, it identifies precise “profit windows” – ideal times to buy and sell – with the potential to match Wall Street’s speed and accuracy.

This could mark a turning point in how you trade.

Next Wednesday, June 25, TradeSmith CEO Keith Kaplan will host a free broadcast presentation to unveil this breakthrough. At the event, Keith will also share three stock picks with 100%+ upside potential.

But the best part? If you register now, you will receive access to a “lite” version of the system so you can try it out yourself.

Click here to sign up for free.

Since the event is only a few days away, Keith is joining us today to share how AI is rewriting the rules for investors.

Take it away…

It’s the largest haul in hedge fund history… 

In 2022, while most investors were nursing double-digit losses, Ken Griffin’s Citadel hedge fund took in $16 billion in profit. 

That’s about $9.7 million every hour the market was open – more than most folks make in a lifetime. 

This record-breaking haul didn’t come from a hot tip… or a lucky “big short.”  

Instead, Citadel built a machine that could out-trade the world. 

You see, most of Citadel’s portfolios aren’t run by humans – they’re run by systematic models and machine learning, a powerful branch of AI. 

To be clear, Citadel’s trading is not just assisted by machines. It’s run by them, end to end. 

That old image of a trader – a guy in a suit and braces, watching over a bunch of charts, tickers, and newsfeeds – is headed for the history books. 

And it’s not just Citadel that’s using AI systems to manage vast sums of money. So is the world’s largest asset manager, BlackRock. 

Its AI-powered Aladdin system (which stands for Asset, Liability, and Debt, and Derivative Investment Network) manages risk and decision-making across $21 trillion in assets.  

That includes $10 trillion in assets BlackRock manages as well as the assets of clients such as Apple, Google, and the World Bank. 

To put that in context, globally there is an estimated $100 trillion in assets under management. That means 1 in every 4 investment dollars on Earth flows through Aladdin’s “brain.” 

Why am I telling you this? 

As Ken Griffin put it: “The role of human discretion in trading is diminishing. The future belongs to those who can build the best models.” 

Until now, these kinds of models were the exclusive domain of Wall Street giants. But that’s about to change. 

Thanks to the biggest breakthrough so far in our 20-year history at TradeSmith, self-directed investors like you can now tap into the power of AI-assisted trading. 

It gives individuals a fighting chance in a market increasingly dominated by hedge funds, institutions, and algorithmic trading.  

And hands down, it’s the most exciting piece of software I’ve worked on in my 25-year career. 

I’ll be getting into all the details, on camera, on Wednesday, June 25, at 10 am ET. So, make sure to join the early access list here.  

Then read on to see why attending could be a game-changer for your own wealth building goals. 

Do You Fall Into These Psychological Traps? 

The No. 1 enemy of successful trading is human emotion.  

Fear, greed, hesitation. These aren’t just buzzwords – they’re the psychological traps that cause folks to miss opportunities, panic sell, or hold on too long.  

Don’t just take my word for it.  

Every year, market research firm Dalbar publishes a report on investor behavior called Quantitative Analysis of Investor Behavior. 

It analyzes how individual investors perform versus the markets. The goal is to measure the impact of investor behavior on returns — and it’s always a sobering read. 

In April, Dalbar released its latest report, which covers 2024. And it showed that the average stock market investor earned 16.5% last year compared with the S&P 500’s 25% return.  

That gap is the fourth-largest underperformance since Dalbar began tracking investor behavior trends in 1985. 

What accounts for this woeful underperformance? 

The report cited nine types of behavior that plague investors… 

• Loss aversion – expecting to find high returns with low risk 
• Narrow framing – making decisions without considering all implications 
• Mental accounting – taking undue risk in one area and avoiding rational risk in another 
• Diversification – seeking to reduce risk, but simply using different sources 
• Anchoring – relating to familiar experiences even when inappropriate 
• Media response – the tendency to react to news without reasonable examination 
• Regret – treating errors of commission more seriously than errors of omission 
• Herding – copying the behavior of others, even in the face of unfavorable outcomes 
• Optimism – the belief that good things happen to them, while bad things happen to other people 

Now, I’m not saying you fall into all nine of these traps. But if you’re anything like the average investor, chances are a few will sound familiar. 

And as Dalbar has shown year in and year out, that hurts your returns. 

But AI doesn’t suffer from these behavior problems. 

AI Doesn’t Flinch 

As the folks at Citadel and BlackRock know, AI doesn’t flinch 

It doesn’t enter a trade because of FOMO…  

It doesn’t bias its decisions based on optimism, pessimism, or any other unhelpful human emotion. 

And it doesn’t get rattled when the market opens red. 

It simply follows the data. 

And unlike a human trader, AI doesn’t sleep, take breaks, or need a vacation.  

Instead, it constantly scans the markets, analyzing millions of data points, backtesting strategies, and adjusting in real time.  

Something no human – no matter how skilled – can do with the same level of speed and accuracy. 

That’s why, by leveraging AI, you can start to level the playing field with elite Wall Street firms.  

And it’s why my team and I at TradeSmith are releasing a powerful new AI tool that can pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day. 

It’s engineered on over 120 million data points, including… 

• 4.2 million historical price outcomes across more than 2,400 stocks over seven years 
• 88.9 million daily forecasts that model price movements across a 21-day horizon 
• Tens of millions of “validation” runs, which refine accuracy and confidence with each new day of data 

And the results are stunning. 

In backtests, this tool identified time windows where stocks surged so fast, it was like compressing four, eight — even nine — years of market gains into just a few weeks. 

Of course, seeing is believing. 

That’s why I’ll be demonstrating this new proprietary AI tool, on camera, during my presentation next Wednesday. 

I’ll also be passing along the names and tickers of three new opportunities for July 1 that could each shoot up 100% or more in days. 

So, if you want to be among the first to see this new AI in action…  

Here’s that link again to join our early-access list. 

While you’re there, you can preview TradeSmithGPT for yourself – for a limited time.  

To smarter investing, 

Keith Kaplan 

CEO, TradeSmith 

The post AI Is Out-Trading Wall Street – Here’s How You Can, Too appeared first on InvestorPlace.

In the 1940s, mathematician John von Neumann began working with Princeton University meteorologist Jule Charney on a computer model to predict the weather. 

The first version… well… wasn’t that useful. It took 24 hours for their ENIAC punch-card machine to model 24 hours of weather… something you could also do in real-time by looking out a window. 

I’ll stay inside, thank you.

But computers eventually got faster, and weather forecasters began using machines to help refine their work. By the early 2000s, computing power had grown powerful enough to run models independently of humans.  

Recent advancements in AI have only improved their accuracy. 

Now, it’s important to note that these weather “predictions” are not the type made by the Oracle of Delphi or your local tarot card reader. Those are more like guesses about the future.

Instead, computer weather forecasts are digital representations that divide our environment into smaller pieces (usually in a three-dimensional grid, ranging from 10 to 50 kilometers) and attempt to model what will happen next.  

If one cube in the grid has a certain temperature, humidity, and wind speed, how would it affect its neighboring cubes? And what does it look like once the grid covers the entire continental U.S.?  

It’s essentially creating a simplified version of the real world within a computer program. 

The same quantitative principle is now used in financial markets… both on Wall Street and right here where I’m employed. 

Over the past several years, our team at TradeSmith has created a detailed system that models the likely next steps in a market. If a retailer like Walmart Inc. (WMT) reports strong financial results, they can use those numbers and resulting share-price moves to see what might come next for rivals like Target Corp. (TGT). 

In a new presentation later this week, TradeSmith CEO Keith Kaplan will introduce this system, known as TradeSmithGPT. The AI-powered model uses millions of financial datapoints to pinpoint each stock’s “profit window,” or the ideal time frame to trade a stock, on any given day. 

They’re now offering a “lite” version of this system for a limited time to test for yourself. To get access to that “lite” version, just click here to sign up for Keith’s free presentation on Wednesday, June 25, at 10 am. Eastern. 

The TradeSmith team is allowing me to reveal three of their system’s top picks this week. However, you may not want to buy or trade any of these stocks until Keith explains how it works.  

As you’ll see this week, these stock choices have some serious upside… but they require a system like TradeSmithGPT to know exactly when to get in and out. 

A Crude Awakening 

Recent events in the Middle East have sent shockwaves through energy markets. Over the past month, crude oil prices have jumped 18% as memories of previous conflicts have resurfaced. Natural gas has risen 27%. 

Our quantitative systems believe even more gains are on the way. This week, the TradeSmith model projects a 22% rise in Comstock Resources Inc. (CRK) over the next 30 days. The Dallas area-based natural gas producer now has the largest upside we’ve seen in a while. 

The alert is also notable because TradeSmith’s model has an 85.2% historical target accuracy for CRK. In other words, an investor following TradeSmithGPT’s recommendation on CRK would have been right 85.2% of the time. 

Now, it’s important to note that CRK is an unabashedly leveraged bet on energy prices. The energy firm generated $2.2 billion in operating income during the 2022 natural gas boom… and saw that figure flip to a $170 million loss last year.  

In fact, the company noted in its latest annual report that raising its natural gas reference by 77% to $3.26 per 1,000 cubic feet (Mcf), up from the $1.84 per Mcf the Securities and Exchange Commission mandates for 2024 financial reports, increases its reserves value by 250%.  

That means rising gas prices can trigger gains of 50% or more. Comstock has already risen 175% this year on tightening gas markets. A sudden decline in gas prices, however, would trigger an equally sharp selloff in CRK.  

And so, a model like TradeSmithGPT is a “must-have” for getting out just as smart money has second thoughts. 

The TikTok Tug-of-War 

The cosmetics firm e.l.f. Beauty Inc. (ELF) is no stranger to volatility. Shares surged 700% between 2022 and 2024 as young TikTok viewers discovered the brand. A crackdown on the social media app then sent shares straight back down.  

Since then, the Trump administration has moved to repair relationships with TikTok, boosting ELF stock. In January, Donald Trump signed an executive order that temporarily paused a “ban” on the video streaming app. Earlier this week, he delayed the ban for another 90 days. 

That’s great news for ELF, which has seen its share price recover sharply in recent weeks. The company relies on word-of-mouth advertising, and its popularity on TikTok makes the video streaming app a crucial part of its marketing strategy. 

However, most of ELF’s products are sourced and manufactured in China. As the company’s management dryly notes in its annual report, tariffs will have an impact on both costs and pricing: 

As a result of the additional US tariffs announced since early 2025, the Company will raise prices globally for all products sold, which could result in the loss of consumers and materially and adversely affect our business, financial condition and results of operations.  

If the sudden thawing of U.S.-China relations holds, the impact could be less than feared. 

That’s likely why the TradeSmith system is modeling a 15% upside for ELF. Shares have already doubled since April, and history tells us that rising stocks typically keep going up in the short term, especially retail-facing stocks. 

The Crypto Coaster 

Finally, the TradeSmith system suggests Robinhood Markets Inc. (HOOD) this week, a leveraged play on cryptocurrency and retail stock and options trading. The system is forecasting a 13% upside and has an 84% historical target accuracy on the stock. 

The reason for the system’s bullishness is likely because Robinhood earns an enormous amount of its revenues from crypto trades. In the first quarter of 2025, that segment accounted for 43% of total transaction-based revenues – slightly more than the 41% from options, and well ahead of the 10% from stocks.  

Crypto markets are less efficient than stock markets, allowing Robinhood to earn more from market makers through a system called “payment for order flow.” 

Where Robinhood’s revenues come from 

The recent surge in crypto prices will likely boost Robinhood’s bottom line. Over the past several months, we’ve seen: 

Together, these are typically strong signs for Robinhood, which caters to retail traders. The average Robinhood user is just 35 years old and tends to favor momentum trades that have gone up significantly.  

That’s made HOOD’s stock a leveraged play on Bitcoin prices. Shares have risen 250% in the past year, compared to a 60% gain in BTC. 

Our TradeSmith system is now forecasting another double-digit upside for Robinhood to $84.69 as Bitcoin heats back up. And much like TradeSmith’s other two picks this week, an investment in Robinhood must come with a system that knows when to sell. 

Modeling the Future 

The rise of AI has created a revolution in weather forecasting.  

Traditional models typically used principles like fluid dynamics and thermodynamics to predict what would happen next. AI systems use data to find what actually happened… and then build future estimates from those insights. 

That’s allowed AI developers like Google’s DeepMind to create better forecasts. Its weather model is now more accurate than traditional ones in 90% of tested cases. The real world simply doesn’t follow theoretical formulas to the letter. 

The same is happening in the stock market. After all, academics have spent decades working on formulas to capture what should happen in financial markets. 

• Higher risk should lead to higher rewards… 
• Companies should be indifferent between debt and equity financing… 
• Prices should follow a random walk… 

But we know that none of those are necessarily true in real-world investing. People are emotional… markets aren’t perfectly efficient… and traders often leave “clues” that reveal their next moves. 

That’s why TradeSmithGPT is so powerful. It’s able to take far more data than any human can manage and creates real-world models of what should come next with a 75% accuracy rate for its target prices. 

In a free presentation on Wednesday, June 25, TradeSmith CEO Keith Kaplan will reveal exactly what his new breakthrough AI software is, how it works, and why it will be critical to your success in the markets during 2025. 

But fair warning: His live broadcast will not be available to the general public. 

To receive your private access link, please click this link to get signed up. 

When you do, you’ll also get immediate access to a “lite” version of TradeSmithGPT for a limited time to test it out for yourself. 

After that, be sure to tune into Keith’s presentation on Wednesday, where he explains how to use the system to trade fast-moving stocks like the ones I mentioned in this email today. AI-based systems are quickly becoming the gold standard of modeling, and it’s becoming essential to know how to use these new tools. 

Until next week, 

Tom Yeung, CFA 

Market Analyst, InvestorPlace 

Thomas Yeung is a market analyst and portfolio manager of the Omnia Portfolio, the highest-tier subscription at InvestorPlace. He is the former editor of Tom Yeung’s Profit & Protection, a free e-letter about investing to profit in good times and protecting gains during the bad.

The post Our Computers Are Modeling a Raging Bull Market… in These 3 Stocks  appeared first on InvestorPlace.

That is, the AI model-making process is undergoing a seismic shift from training to inferencing. 

In short, it’s pivoting away from the gluttonous obsession with training giant omniscient models. Now it’s rushing headlong into a new era, where inferencing – when models make decisions based on new, unseen data – takes center stage.

This may sound nuanced and technical in nature; and to some degree, it is. (Don’t worry: we’ll get into these details more below.) 

But nonetheless, it will transform how hundreds of billions of dollars are spent, even this year alone, on new AI infrastructure. 

It means the bulk of that money will stop flowing into the stuff that assists AI training… and start flowing toward what boosts model inferencing. 

🚨 Translation for investors: This is the moment to pay attention to because a new class of AI stock winners is about to emerge…

AI Training Fueled the Boom’s First Phase, But That Era Is Ending

Let’s start with the basics here.

Essentially, AI training is exactly what it sounds like. It’s the process of teaching a model what to know. Think of it like putting a bunch of professionals in a room with every book ever written and having them memorize it all, in case someone, somewhere asks them a question about it someday.

And until this point in the AI boom, training has been the star of the show. Companies like OpenAI, Alphabet (GOOGL), and Meta (META) have spent hundreds of millions – sometimes billions – training large language models. 

Nvidia (NVDA) has made a killing selling its monster GPUs (A100, H100, Blackwell, etc.) to power this training frenzy, with nearly 90% of revenue now tied to the data‑center segment and year-over-year growth often exceeding 90%.

And the company isn’t shy about what’s driving the boom – or where it’s headed next.

As CEO Jensen Huang touted recently:

“The world’s most powerful data centers are being built right now, and they’re being built for training AI models that will change everything.”

No argument there, Jensen. Training did change everything.

Yet, that was just the first phase of this new era…

AI Inferencing Takes the Lead: Faster, Smarter, Cheaper

After all that extensive training, these models put that knowledge into practice. 

Every time you ask ChatGPT a question… an autonomous Tesla makes a driving decision… or Meta’s AI filters your social media feed, that’s inferencing.

And thanks to breakthroughs like DeepSeek’s earlier this year, inferencing is stealing the spotlight. Such fine-tuned lightweight models can outperform larger general-purpose models in practical applications, especially when it comes to responsiveness, context handling, and personalization – drastically reducing the cost of deploying useful AI.

Researchers are learning that you don’t need to create an AI model that knows everything – you just need an AI model that knows how to infer things to get to the right answer in real-time. 

As the old saying goes; you want to teach someone how to think, not what to think. 

That’s the shift going on in model-making right now. 

AI doesn’t have to know all the answers – it just needs the skills to find them. 

Indeed, as Nvidia’s Huang said:

“The future of AI isn’t just about building models. It’s about how fast, how cheap, and how smartly you can serve them at scale.”

OpenAI’s Sam Altman made a similar remark during a spring tech event:

“We’ve entered the phase where inference efficiency is the battleground. That’s where AI becomes universal.”

For investors, that means the big bucks are now shifting from model-building to model-serving.

Why AI Inferencing Will Reshape the Infrastructure Investment Landscape

This is where it gets interesting (and profitable). 

The difference between training and inferencing isn’t just technical. It activates totally different parts of the AI supply chain.

The training process requires super-powerful GPUs (as with NVIDIA H100 or Blackwell B200) and massive data centers with top-of-the-line cooling, power, and networking. Robust memory is also a must; and as such, high-bandwidth memory demand is off the charts. Suppliers like Micron (MU) and Samsung are battling to meet demand amid ongoing shortages.

But inferencing uses different, more specialized chips designed for speed and efficiency (like NVIDIA L4, AWS Inferentia, Qualcomm edge AI, �������°� MI300). It’s also typically deployed in lighter clusters with more edge devices (phones, cars, cameras using AI locally) and is less memory-intensive. (In other words, it doesn’t have to juggle giant data sets, just the trained model and your input). When it comes to inferencing, researchers prioritize low cost per query and low latency.

The economic implications here? Industry leaders will keep pouring money into AI infrastructure. But increasingly, that cash will flow to different parts of the supply chain as more models achieve inferencing. 

Here’s where we see the action heading…

The Stocks Poised to Lead the AI Inferencing Boom

Nvidia will likely remain king because it owns the best inference chips and the software ecosystem (TensorRT, CUDA) that optimizes inference at scale. Its TensorRT enables developers to accelerate inferencing by optimizing models for deployment, drastically reducing latency and energy use. This makes it pretty indispensable for commercial applications like chatbots, recommendation engines, and vision systems. 

But Amazon (AMZN) could also quietly emerge as a leading chip supplier in the inferencing era. With its Inferentia and Trainium chips, AWS is determined to serve its customers AI cheaply. And guess who has the most customers doing AI inferencing? Good, ole’ Amazon. 

So far, Advanced Micro Devices (�������°�) has been a disappointing performer in the AI Boom. But its MI300 chips are making real inroads in inference workloads; for example, its MI300X boasts 192GB of high-bandwidth memory compared to the 80GB in NVIDIA’s H100, which is ideal for LLMs. This phase shift could be key to �������°�’s comeback story. 

Inferencing at scale also means data centers have to work at lightning speed. And since their networking gear is the spine of this infrastructure, Arista Networks (ANET) and Cisco (CSCO) should benefit from that. 

Broadcom (AVGO) also stands out as a potential winner in the shift to inferencing. It offers custom inference accelerator components (e.g., parts of Google TPUs), switch ASICs, and networking components – a broad winner. 

Astera Labs (ALAB) looks poised to benefit as well. Its connectivity chips are the glue between AI accelerators, CPUs, and memory, essential for scaling inference clusters. Qualcomm (QCOM) could win, too, because it dominates inferencing at the edge through phones, autos, and IoT. And Vertiv (VRT) should stay strong because all these inference servers still need power, cooling, and racks. It seems the company would profit from every expansion.

This shift is quickly reshaping the competitive landscape – and opening the door for a fresh wave of tech players to lead the charge.

The Final Word on Uncovering Tomorrow’s AI Stock Leaders

This move from training to inferencing doesn’t mark the end of the AI Boom – just the next stage of its evolution.

AI is maturing. We’ve built the models. Now we’re figuring out how to deploy them efficiently, serve them to billions of users, and seamlessly integrate them into daily life.

And the investors who get positioned for this shift early will ride the next wave of AI wealth creation.

The focus is shifting, the winners are changing, and the opportunity is bigger than ever.

So, as inferencing moves to center stage, ask yourself: Are you holding yesterday’s AI winners – or tomorrow’s?

We think the biggest AI stock winners of the next few years will come from a sector driven by powerful inferencing. It’s one that Elon Musk is obsessed with… that President Trump has recently shown interest in… one that even the late, great Steve Jobs wanted to bring to fruition; his ‘Final Vision.’

Jobs was one of the most successful and innovative tech visionaries of our time. He was known for his impressive ability to ‘see around corners.’ And while he may have been early to the party during his lifetime, a different innovator – Tesla’s Elon Musk – has picked up his old torch and is bringing Jobs’ dream to life.

We’re confident that this niche of the AI industry will transition from obscurity to ubiquity over the next few years. As it does, the stocks at the epicenter of this niche could become 10X winners.  

And with a major announcement slated for July 21, Musk may be about to hit the gas in a big way. That’s why we just held an urgent briefing all about this ‘Final Vision’ and how to get positioned for the potentially massive profits to come.

Learn about the future Steve Jobs saw coming.

The post AI Inferencing Is the Future. Are You Holding the Right Stocks? appeared first on InvestorPlace.

In nature, extinction doesn’t arrive with a press release.

It often begins quietly, with a subtle shift in the environment. A new predator enters the ecosystem. A virus mutates. A faster, leaner competitor appears on the scene.

And before long, species that once ruled the Earth… vanish.

The same phenomenon happens in the stock market.

Big, lumbering companies – also known as the “blue-chip stalwarts” of today – can suddenly find themselves fighting for relevance.

For evidence of this, look no further than U.S. chipmaker International Business Machines Corp. (IBM). Once the most valuable tech company on Earth, it’s now struggling to stay relevant in the artificial intelligence revolution –while Nvidia Corp’s (NVDA) market cap has soared past $3 trillion.

This process isn’t new. In the 1940s, Austrian economist Joseph Schumpeter gave it a name: creative destruction.

His idea was a simple, but brutal, one. Innovation doesn’t just build new industries – it burns the old ones to the ground.

That’s the price of progress in a capitalist system.

And right now, we’re seeing a wildfire of creative destruction triggered by AI.

AI is not a trend. It’s not even a wave. It’s a mass extinction event for outdated business models.

The kind of event that permanently rewrites the investing landscape.

And if you’re holding the wrong companies as this event plays out, you’re not just underperforming – you’re getting wiped out.

That is why I’m focused on the once-in-a-generation investment opportunities that AI is producing. But I’m also aware that those opportunities will draw their nourishment from the rotting corpses of the companies AI destroys.

Adapt or perish. That is the Darwinian reckoning every company now faces.

Those that hope to survive and thrive must adopt and integrate AI as fast as humanly (or algorithmically) possible. Those that hesitate will die.

And it won’t be a slow death. AI is speeding up the clock.

The killing blow will arrive in the form of an advanced AI technology that I’ve been keeping my eye on for a while now… artificial general intelligence, or AGI. This emerging category of AI will not only be able to mimic human cognitive abilities but also surpass them.

So, in today’s Smart Money, let’s revisit how we can keep our portfolios on the right side of that Darwinian reckoning… and continue to profit through the profound changes it will bring.

I will also profile a new AI-powered software tool my colleague and CEO of TradeSmith Keith Kaplan will be debuting in just a few short days.

It uses advancements similar to the tech behind ChatGPT to help you take the guesswork out of trading.

Moreover, it could potentially compress a year’s worth of stock market profits into a matter of weeks.

How to Be an AI Survivor

One of the best ways to “future-proof” your wealth is to invest in enterprises that produce physical products or services that AI cannot replace.

I call these AI Survivors.

Agriculture companies would be one example. No matter how sophisticated AI becomes, humans will want to eat avocados and bananas.

Then, there’s companies that handle those natural commodities, like Boston-based Toast Inc. (TOST). It provides AI-enabled solutionsfor virtually every facet of the restaurant biz – from online ordering fulfillment to reservations management to supply-chain control.

Since I profiled this AI winner last August, its stock has soared over 70%.

Additionally, companies that produce natural resource products like copper, aluminum, or timber should be able to survive the growth of AI technologies… at least for a long time.

Some of these AI Survivors, such as uranium miners and nuclear power companies, have the added benefit of helping power the AI Revolution.

Nuclear power plants can run continuously for long periods of time without needing maintenance or refueling. So, they are an ideal energy source for AI data centers.

That’s why all the major tech companies are striking deals to secure part of their future electricity needs from nuclear power sources.

At the start of this month, for instance, Meta Platforms Inc. (META) announced it would buy nuclear power from power producer Constellation Energy Corp. (CEG).

This has sent one of the big uranium exchange-traded funds (ETFs), the Global X Uranium ETF (URA), up about 15%.

And as my colleague Keith Kaplan has been beating the drum on, the Darwinian reckoning AI is creating is not just something businesses face.

It’s also something we face as investors and traders.

Keith says we either integrate AI into our investing and our trading… or risk getting left behind.

Here is how you can make sure to stay ahead…

Put This New AI Tool to Work for You

If you don’t already know Keith, he’s the CEO of TradeSmith.

TradeSmith is a software platform designed to take the emotion out of investing by arming you with data-driven insights and quantitative analysis. And it’s used by more than 120,000 individuals to help track over $30 billion in assets.

Keith works with a team of top data scientists, software engineers, and investment analysts.

Together they’ve spent more than $20 million… and hundreds of thousands of hours… to develop the most cutting-edge financial innovations on the market for everyday investors.

And on Wednesday, June 25, at 10 a.m. Eastern time, they’re releasing a new AI-powered trading tool that can pinpoint what they call a stock’s “profit window” – the ideal timeframe to trade a stock on any given day.

This new AI tool is engineered on more than 120 million data points, including…

• 4.2 million historical price outcomes across more than 2,400 stocks over seven years
• 88.9 million daily forecasts that model price movements across a 21-day horizon
• Tens of millions of “validation” runs, which refine accuracy and confidence with each new day of data

This tool is not live, yet.

But in backtests, it’s identified time windows where stocks surged so fast, it was like compressing four, eight – even nine – years of market gains into just a few weeks.

Of course, seeing is believing.

That’s why Keith will be demonstrating this new proprietary AI tool, on camera, during his presentation next Wednesday.

He’ll also be passing along the names and tickers of three new opportunities for July 1 that could each shoot up 100% or more in days.

So, to be among the first to see this new tool in action… and understand how you can integrate AI into your wealth building process, be sure to register for the event by clicking here.

Regards,

�������°�

P.S. When you register for Keith’s event, you’ll also get immediate access to a “lite” version of TradeSmith’s new AI tool for a limited time to test it out for yourself. To try it out, just click here to sign up for Keith’s free presentation on Wednesday, June 25, at 10 am. Eastern. 

The post Take This One Step to Avoid AI’s Extinction Event appeared first on InvestorPlace.

In today’s guest essay, TradeSmith CEO Keith Kaplan pulls back the curtain on TradeSmithGPT – a game-changing AI tool that scans 120 million data points daily to identify the perfect moment to strike in the stock market.

The inspiration? Think “The Six Million Dollar Man” meets Iron Man, but for traders. With backtested gains as high as 776% in just 17 days, this isn’t science fiction, it’s what happens when machine learning and market mastery collide.

In today’s Digest, you’ll discover how this tech works, why it matters now more than ever, and how you can put it to work in your portfolio.

And in Keith’s upcoming presentation on Wednesday, June 25, at 10 a.m. Eastern, you’ll get the chance to see this new tool in action and understand how you can integrate AI into your wealth building process. All you have to do is click here to save your spot.

If you’ve ever wanted a market superpower… this is your origin story.

Enough introduction. Here’s Keith with all the details.

Have a good weekend,

Jeff Remsburg

In 1973, U.S. Air Force Colonel Steve Austin crash-landed during a test flight and was nearly killed.

But thanks to a secret government program, he was rebuilt—stronger, faster, better.

His right arm, both legs, and left eye were replaced with “bionic” implants. These boosted his strength, speed, and vision far beyond human limits.

He could run faster than 60 mph… his eye had a 20:1 zoom lens and infrared capabilities… and his limbs had the power of a bulldozer.

If you’re of a certain age, you’ll remember the hit TV show The Six Million Dollar Man, starring Lee Majors. Austin was still human. But he had been augmented with some of the most advanced technology of his time.

Or fast-forward a few decades and think of Iron Man.

Tony Stark wasn’t a superhero because he was bitten by a radioactive spider or born on another planet.

He was just a brilliant man in a high-tech suit.

He chose to augment his human abilities – and proved that with the right tools, human intelligence can scale to superhuman levels.

And that’s what modern investing can look like, too.

As computers grow more powerful and accessible, more investors are choosing to augment their instincts by tapping into cutting-edge tech. They’re using algorithmic portfolio management, predictive analytics, and advanced screeners among other tech tools.

These don’t replace human intuition—they enhance it. They help you spot opportunities as they emerge, anticipate risks before they hit, and act with greater confidence and precision.

And like Steve Austin with his bionic body parts… or Tony Stark with his ironclad exosuit… folks who use these tools become stronger, faster, and better at what they do.

I know because, as the CEO of TradeSmith, I’ve worked on some of the most advanced software tools available to self-directed investors.

But none of them come close to the new AI-powered trading tool my team and I have developed.

You can use it to pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day.

And the results are stunning…

In backtests, it’s identified profit windows in which stocks surged so fast, it was like compressing four, eight, even nine, years of market gains into just a few weeks.

I’ll be lifting the lid on the entire project – which I’m calling TradeSmithGPT – next Wednesday, June 25, at 10 a.m. ET. So, make sure to join the early access list here.

Today, I’ll show you why I’ve nicknamed this project TradeSmithGPT… how it can help you level the playing field with Wall Street… and how you can start using it right away.

Jaw-Dropping Results

By now, you’re probably used to ChatGPT and other Large Language Models (LLMs) such as Google’s Gemini and Elon Musk’s Grok.

They’re trained to spot patterns in billions of written words from books, articles, and websites to understand and generate human-like text.

And the results are often jaw-dropping.

You can use ChatGPT to write cover letters… summarize books… even ace the bar exam.

Well, TradeSmithGPT is what you might call a Large Numbers Model.

Instead of reading text, it reads the market—scanning 120 million data points to identify prime trading moments.

And it learns as it goes…

Think of it like a weather forecaster who says, “There’s an 80% chance of rain tomorrow.”

Weather forecasters don’t have crystal balls. Instead, they harness the power of statistical probability. What they mean is that, in a given area, under similar atmospheric conditions, it rained 80% of the time in the past.

These systems then are calibrated based on how accurate they’ve been in that region over time.

For example, if every time they forecast an 80% chance of rain in New York… and it only rained 50% of those days… the model will recalibrate.

That’s part of why weather forecasting has gotten dramatically more accurate in the last couple of decades – it’s machine learning in action.

The best way to understand how our new tool works is to see it in action. That’s why, during Wednesday’s event, I’ll be demonstrating it on camera.

I’ll also get into a lot more detail about the underlying technology so you can see how powerful it is.

For now, think of it like working alongside a veteran trader with a photographic memory and genius-level pattern recognition skills who’s watched every market pattern unfold for seven years. Someone who can tell you: “I’ve seen this setup 1,000 times before. Here’s what usually happens next.”

Except our system can process vastly more data than any human trader ever could.

Triple-Digit Gains… in a Matter of Weeks

Our AI algorithm is running on more than 2,400 stocks.

Every day, it analyzes 88.9 million daily forecasts… plus tens of millions of additional data points.

This has nothing to do with the seasons of the year or other seasonality cycles…

It has nothing to do with whether or not a company is about to release an earnings report…

Instead, it’s designed to find the most ideal time frame to trade a particular stock – aka its “profit window.”

For example, today, Tesla could have a 6-day window. But Apple could have a 15-day profit window. And Microsoft could have a 10-day window.

That’s how we are able to target trades that deliver triple-digit gains in the matter of weeks.

For example, in our backtests, this system flagged gains of…

• 89% in 1 day… 
• 153% in 18 days… 
• 339% in 18 days… 
• 432% in 5 days…
• Even 776% in 17 days.

To folks who use other TradeSmith tools, these types of gains won’t come as too much of a shock.

But if you’re not familiar with what we do at TradeSmith, you should know that our technologies have helped a lot of folks.

In fact, they’re now being used by over 120,000 individuals to help track over $30 billion in real assets.

You should also know that we’re obsessed with data, and we’re obsessed with getting better.

It’s how we’ve designed some of the most technical financial innovations of the past two decades.

We have an entire staff of data scientists, software engineers, and investment analysts working on developing our market algorithms.

How many other retail-focused publishing firms out there can say that?

Our team has hundreds of years of collective experience in the software development and data science fields.

And we’ve spent more than $20 million… and hundreds of thousands of man hours… developing the most cutting-edge financial innovations on the market for regular people out there just like us.

It’s why I hope you’ll tune into my broadcast on Wednesday to see this new tool in action.

The stock market of today isn’t the stock market of the past.

Heck, it’s not even what it was two years ago.

Volatility is higher… information moves faster… and stock moves can happen in the blink of an eye.

The markets are moving up and down faster than anyone can grasp.

And the competition — especially on Wall Street — is smarter and more technologically advanced than ever.

But using our new tool, you can level playing field with even the biggest Wall Street firms.

I’m not suggesting you dump all your stocks and go all-in on AI-powered trading.

But if you don’t start augmenting your human instincts with the cutting-edge technology, like the big players on Wall Street are doing, I’m worried that you’ll get left behind.

To join the early access list for the TradeSmithGPT launch – and test drive TradeSmithGPT yourself for a limited time – here’s that link again.

To smarter investing,

Keith Kaplan

CEO, TradeSmith

The post Don’t Just Invest in AI – Use It to Augment Your Investing appeared first on InvestorPlace.

After the geopolitical jitters that rattled markets last week (though, yes Israel and Iran continued to trade fire through the weekend and into Monday), cooler heads seem to be prevailing. We’re getting closer and closer to sinking our teeth into that all-time high of 6,144.15 we saw on the S&P 500 back in February. 

Last week’s market freakout was a classic overreaction to geopolitical drama. History tells us that markets almost always bounce back from these shocks because — nine times out of 10 – the conflicts fizzle out just as quickly as they appear. 

So, what should we be focusing on instead? 

The signal – or as I like to call it, the one true signal. 

And that is artificial intelligence. And that signal couldn’t be stronger right now.

Today, AI stocks are leading the charge on Wall Street’s comeback tour. AI stocks aren’t just participating in this rally – they’re driving it. 

And it’s easy to see why when you look at this week’s positive news.

Let’s run through it…

• Amazon announced it will spend $13 billion on new AI data centers in Australia between now and 2029. Because why stop at dominating American cloud infrastructure when you can dominate Down Under, too? 
• H&M, the struggling retailer, is embracing generative AI to enhance in-store shopping experiences. Finally, fast fashion meets fast AI. Could be the comeback story of the year. 
• Reddit launched new AI-powered ad tools. Because if there’s anything better than meme stocks, it’s AI-powered meme stock ads.

And that’s just a small handful of examples – but it’s the latest batch in a constant flow of AI progress.

Sure, it’s early. But this is the future taking shape right before our eyes – and we’re watching closely for ways to capitalize as it matures, as we’ve talked about here, here, and here. 

Zooming back out, the picture is clear: The macroeconomic noise is fading. Geopolitical tensions are cooling. And the technology undercurrents that are driving this market higher – AI, BCIs, cloud, and more – are stronger than ever.

We told you the selloff on Friday was overdone. We told you it was noise. And we told you to focus on the signal.

So, let’s put our money where our mouths are…

TradeSmithGPT: The AI Platform That Could Unlock Your Profit Window

Artificial intelligence has long been viewed as the near-untouchable pinnacle of modern technology, but we’ve actually had access to “lower-key” demonstrations of AI for the past 20 years. 

Think of…

• Playing “against the computer” on ChessMaster 9000 CD-ROM in the late 1990s and early 2000s…
• The debut of the self-driving Roomba vacuum in 2002…
• Apple’s assistant, Siri, which came onto the scene in 2011…
• Or the AI-created music you’ve seen for the past year on Instagram, TikTok, and more.

But those examples pale in comparison to how AI has advanced over the years.

From Ken Griffin’s Citadel hedge fund posting $16 billion in annual profits – the largest annual haul by a hedge fund ever – all without a single human-based trading decision… 

To enhanced mammograms that can detect breast cancer cells early – that the human radiologist might miss…

AI is transforming everything.

And trading is no different. 

Artificial intelligence has revolutionized the landscape of trading, steering in a new era of data-driven decision-making with predictive analytics and supercharging the way savvy traders analyze markets and identify trading opportunities. 

And over at InvestorPlace’s corporate partner, TradeSmith, they’re about to unveil something massive.

After years of research, fine-tuning, trial and error, the next major breakthrough in AI trading tools is ready for you… 

TradeSmithGPT.

It was painstakingly designed to help you collect four years’, eight years’, even nine years’ worth of stock market gains in a matter of weeks – by pinpointing a stock’s “profit window,” or the ideal timeframe to trade a stock on any given day. 

It’s engineered on over 120 million data points, including… 

• 4.2 million historical price outcomes across more than 2,400 stocks over seven years…
• 88.9 million daily forecasts that model price movements across a 21-day horizon… 
• And tens of millions of “validation” runs, which refine accuracy and confidence with each new day of data.

And the results are bonkers, like 89% in one day, 153% in 18 days, and 339% in 18 days.

We’ve seen similarly impressive gains with our own Breakout Trader, like 38% in nine days, 53% in 16 days, 40% in 23 days, and 68% in 60 days. 

But in this day and age, seeing is believing. And you deserve to test it out for yourself. 

Head here to see TradeSmithGPT in action – all you have to do is sign up for its world premiere, which goes down on Wednesday, June 25, at 10:00 a.m. Eastern.

During the premiere, TradeSmith’s CEO Keith Kaplan will demonstrate this new proprietary AI tool, on camera – and pass along the names and tickers of three new opportunities for July 1 that could each shoot up 100% or more in days. 

Even �������°�, the quant powerhouse you likely well know at Market360, says…

“I’ve been building quant systems since the 70s… So, if anyone knows a thing or two about them, it’s me. But let me tell you… What TradeSmith has been able to do with AI and their new financial software is nothing short of incredible. When you see how it’s now possible to see years’ worth of gains in the short term… You may never need to buy another trading software. To any of my readers out there, I hope you take this seriously.”

So, it’s not just my two cents you get to hear. 

As I said, the one true signal is AI – and that signal is blaring right now. 

Go ahead and sign up for Wednesday’s event to give TradeSmithGPT a try and see what you think. I know I’ll be waiting to see the premiere, too.

The post AI Stocks Are Surging – And a New Trading Tool Could Pinpoint the Next Winners appeared first on InvestorPlace.

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While 2025’s headline S&P 500 return – barely 2% year-to-date – might suggest a quiet, sideways market, the truth is anything but.

Underneath the surface, this has been one of the more volatile first halves in recent memory.

Consider the VIX, Wall Street’s so-called “fear gauge”…

The average VIX reading in the first six months of 2025 has hovered near 17.5, compared to an average closer to 14 in the post-COVID years of 2021–2023. That’s a meaningful uptick in perceived risk – and we’ve felt it in the price action.

Through mid-June, the S&P 500 has experienced 27 sessions with a move of 1% or more, compared to just 14 such days over the same period last year.

Standard deviation tells a similar story. Daily price swings in 2025 have averaged around 1.2%, nearly double the historical average of roughly 0.6%.

Bottom line: This market may be flat – but it’s anything but stable.

Let’s say your investment research put Palantir (PLTR) on your radar in early January. This AI leader is a software company that specializes in big data analytics.

Depending on when you bought PLTR, you’re either up big right now – or panicking, possibly down double-digits.

PLTR has been on a rollercoaster this year. Beginning in early January, it roughly…

• Fell about 15%
• Surged about 80%
• Fell about 65%
• Surged almost 30%
• Fell almost 30%
• Surged 65%
• Fell about 20%
• Surged about 30%
• Fell about 15%
• Surged about 25%

Had you bought PLTR at the start of January, unless you’d never checked its price since, you’d likely have found yourself at risk of having made a self-defeating decision that would have either lost you money…or caused you to miss out on making money.

But it would be tough to shoulder all the blame for such a decision…

Is it…

• “Let your winners run” or “Little pigs get big, but big pigs get slaughtered”?
• “Cut your losers short” or “Time in the market beats timing the market”?
• “Be greedy when others are fearful” or “Never catch a falling knife”?
• “Stick to your investment plan” or “When the facts change, I change my mind”?

There will always be some snippet of market wisdom that, in hindsight, will have been the “wise” path you should have taken.

You know that stock you sold when it fell 20%, triggering your stop-loss?

When it reverses and turns into a 300% winner, you should have known that…

“The stock market is designed to transfer money from the active to the patient,” as Warren Buffett once said.

But when you hold onto that other 20% loser in your portfolio – only for it to collapse 85% and never recover – you should have known that…

“Selling your winners and holding your losers is like cutting the flowers and watering the weeds,” as Warren Buffett once wrote.

(Technically, this comes from Peter Lynch, but Buffett liked the quote so much that he included it in one of his year-end reports to shareholders.)

Bottom line: Investing is hard. And coupled with this year’s volatility, trading profitably in 2025 has been even harder.

Investors today have an advantage thanks to cutting-edge technology.

Let’s jump to Keith Kaplan, CEO of our corporate partner, TradeSmith.

If you’re less familiar with TradeSmith, its financial software innovations help over 120,000 people around the globe track $30 billion of assets.

It’s spent more than $20 million and hundreds of thousands of man hours developing the most cutting-edge financial innovations on the market for regular investors. They’re one of the leading fintech groups in the world.

So, if there’s any group that can speak to the advantages afforded to investors from technology, it’s Keith:

As computers grow more powerful and accessible, more investors are choosing to augment their instincts by tapping into cutting-edge tech.

They’re using algorithmic portfolio management, predictive analytics, and advanced screeners among other tech tools.

These don’t replace human intuition—they enhance it. They help you spot opportunities as they emerge, anticipate risks before they hit, and act with greater confidence and precision.

Given his role as CEO, Keith has seen what technological tools are available to self-directed investors.

This is why he’s confident that TradeSmith has just developed the most advanced piece of investment software on the market today for retail investors.

Back to Keith:

You can use it to pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day.

And the results are stunning…

In backtests, it’s identified profit windows in which stocks surged so fast, it was like compressing four, eight, even nine, years of market gains into just a few weeks.

I’ll be lifting the lid on the entire project – which I’m calling TradeSmithGPT– next Wednesday, June 25, at 10 a.m. ET.

So, make sure to join the early access list here.

With a tool like this in hand, PLTR’s extreme volatility in 2025 becomes far less daunting.

Rather than a treacherous field of landmines to tiptoe through, the landscape starts to resemble a wide-open meadow – full of opportunity for those who know where to look.

Let’s talk about how…

As we step into the future of technology, you’re likely familiar with an “LLM” or “large language model.” This is the basis for AI chatbots like ChatGPT.

TradeSmith’s new advancement is basically a “large number model.”

It’s an AI model trained on an enormous amount of real-world data, designed to give investors an edge in today’s volatile markets.

To give you a sense of the vast scope of this “large number model,” here’s some of the data from the TradeSmith development team:

It’s engineered on over 120 million data points, including:

• 2 million historical price outcomes, spanning seven years and over 2,400 stocks…
• 9 million daily forecasts, covering 21 forecast days, for every stock, on every trading day…
• Plus, tens of millions of additional validations as we call them, including target accuracy, and pattern recognition layers, and much more.

To help identify a given stock’s specific “profit window” when it carries elevated potential for moving the most…giving investors a chance to profit.

Back to Keith:

Think of it like a weather forecaster who says, “There’s an 80% chance of rain tomorrow.”

Weather forecasters don’t have crystal balls. Instead, they harness the power of statistical probability. What they mean is that, in a given area, under similar atmospheric conditions, it rained 80% of the time in the past.

It’s far easier to see this tool in action than describe it. That’s why Keith will be demonstrating it live on camera next Wednesday, June 25, at 10 a.m. Eastern.

For now, here’s how Keith suggests we think of it:

It’s like working alongside a veteran trader with a photographic memory and genius-level pattern recognition skills who’s watched every market pattern unfold for seven years…

Someone who can tell you: “I’ve seen this setup 1,000 times before. Here’s what usually happens next.”

Except our system can process vastly more data than any human trader ever could.

To give you a sense for just how powerful and profitable this tool can be, in backtests, the system flagged gains of…

• 89% in 1 day…
• 153% in 18 days…
• 339% in 18 days…
• 432% in 5 days…
• Even 776% in 17 days.

Keith will dive into the details of how it finds these moves on Wednesday.

American publisher and author William Feather once wrote, “One of the funny things about the stock market is that every time one person buys, another sells, and both think they are astute.”

Do you know who’s on the other end of your “astute” stock transactions?

Increasingly, it’s AI (or at least high-powered quantitative algorithms), which surpasses humans in its analytical/predictive powers by orders of magnitude.

Here’s Business Insider with how Wall Street is cannonballing into AI.

Welcome to Wall Street’s AI era…

Quant hedge funds are beginning to rely on the latest AI chips, like Nvidia’s popular GPUs, to test some of their most advanced models.

Google Cloud is helping quantitative investment firms like Two Sigma and Hudson River Trading innovate around a shortage of sought-after Nvidia AI chips.

The article goes on to highlight a long list of companies that are turning to AI in one way or another.

This is what retail investors like you and me are up against more and more in today’s world.

Are you able to out-trade a bot that processes trillions of data points before you even log into your brokerage account?

Here’s Keith again:

The markets are moving up and down faster than anyone can grasp.

And the competition — especially on Wall Street — is smarter and more technologically advanced than ever.

But using our new tool, you can level playing field with even the biggest Wall Street firms.

I’m not suggesting you dump all your stocks and go all-in on AI-powered trading.

But if you don’t start augmenting your human instincts with the cutting-edge technology, like the big players on Wall Street are doing, I’m worried that you’ll get left behind.

To join the early access list for the TradeSmithGPT launch – and test drive TradeSmithGPT yourself for a limited time – here’s that link again.

Have a good evening,

Jeff Remsburg

The post This Levels the Playing Field With Wall Street appeared first on InvestorPlace.

After months of uncertainty, fueled by tariffs and growing global tensions, the Fed opted to keep key interest rates unchanged at the 4.25%–4.5% range.

Fed Chair Jerome Powell tried to sound firm. Talked about “tariff inflation.” Repeated the same lines about “elevated uncertainty.”

If you’ve been reading along with me for a while now, you know that I am on record saying the Fed is waiting for an “Inflation Bogeyman” that has yet to materialize.

But the reality is the real news wasn’t necessarily what Powell had to say after the meeting. It was in the Fed’s internal projections – or what we call the “dot plot”.

Now, there are 19 total members who are surveyed for the dot plot. And according to the latest reading, there are seven who don’t want any cut. But the majority of members do want to cut. In fact, the latest dot plot predicts two potential quarter-point rate cuts this year.

In short, the majority of the Fed is leaning toward cuts, and we’re starting to see some real signs of policy softening.

Now, these holdouts at the Fed are still uncertain. But the data doesn’t lie. And sooner or later, I expect them to come around.

So, now that some central bankers are starting to blink, let’s discuss a couple of reasons why I think the market has more room to run. Then, I’ll tell you about a little-known government fund that could trigger yet another leg higher and lead to massive gains for early investors.

Reason No. 1: The Data Doesn’t Lie

You may recall that last week’s reports showed obvious signs that inflation data has started to cool. Here’s a brief recap:

• May’s Consumer Price Index (CPI) rose just 2.4% year over year, slightly above April’s 2.3%
• Core CPI climbed 2.8%
• The Producer Price Index (PPI) and core PPI both increased 0.1% in May

Retail sales fell for the second straight month – the first time that’s happened since 2023:

• Building materials and garden store sales dropped 2.7%
• Gas station sales fell 2%, mainly due to cheaper fuel
• Vehicle sales slid 3.5%

But the biggest surprise to me was that sales at bars and restaurants declined 0.9%. That’s after they rose 1.2% in the previous month. What this tells me is that despite cheaper gas prices, consumers were more cautious – they didn’t go out to eat and drink with their savings.

Even more troubling: Housing starts fell to their lowest level in five years.

Housing is a cornerstone of the U.S. economy. This kind of drop doesn’t happen unless rate pressure is crushing demand.

Meanwhile, Treasury yields continued to fall after the Fed’s official statement, which is good. I keep saying that the Fed cannot fight market rates much longer, because a global interest rate collapse is still ongoing. Central banks all over the world are slashing rates to combat slowing growth.

So, the Fed will have to follow suit sooner or later.

Reason No. 2: The Russell Realignment Is �������°� to Trigger Buying Pressure

Every June, the Russell indices perform their annual realignment by adding and deleting stocks based on the current market environment. The realignment takes the entire month of June, with the preliminary add/delete lists released every Friday, starting with May 30, then June 6, June 13 and June 20.

These proposed changes to the Russell 1000 and Russell 2000 are then fine-tuned throughout the month. A stock’s eligibility is determined based on company size, structure, share type, exchange and several other factors. Those companies that meet the grade are then ranked, with the largest 1,000 becoming members of the Russell 1000, and the next 2,000 members of the Russell 2000.

Naturally, the stocks that are added to both the Russell 1000 and 2000 indices benefit from index accumulation and forced institutional buying pressure.

The final lists will be announced on Friday, June 27. All of the stocks added during the annual Russell Reconstitution will begin trading on the Russell indices on Monday, June 30 – and many of these stocks will “pop” that Monday.

Interestingly, the preliminary lists also tend to ignite stocks that will potentially be added to the Russell indices. 

It’s Up, Up and Away From Here

Now, the Fed’s caution is starting to show some cracks. Hopefully, we’ll get a cut soon, which will pour gasoline on the fire, and the market will soar.

Yes, there are a lot of crosscurrents in the market. For example, if you hold gold, energy or defense stocks, you’ve likely noticed they’re outperforming in this environment.

But the bottom line is that I’m confident that to will continue to meander higher in the meantime.

These are exactly the types of positions we want to be in heading right now.

In the meantime, next week all eyes will be on Congress and the “big, beautiful bill”. They’re trying to reconcile the House and Senate versions of a spending bill before lawmakers leave town for the July 4 recess. The SALT deduction is the sticking point – they’ll likely raise the cap, though whether it hits $40,000 is still up for debate.

If that passes, then I expect it to provide a boost as the market regains certainty, and folks feel confident about more tax dollars back in their pocket.

Bottom line: It’s only up, up and away from here.

This Government-Backed Wealth Wave Is Just Getting Started

Beneath all the headlines, one of the biggest stock market catalysts in a generation is quietly unfolding.

Thanks to Executive Order 14196, a forgotten corner of the market is about to receive billions in fast-tracked federal support. Most investors have no idea this is happening – but the money is already lining up.

I’ve just released a briefing that covers:

• What this executive order does
• Why it matters now
• And the three stocks I believe are positioned to benefit the most

Click here to access the full story.

Sincerely,

�������°�

Editor, Market 360

P.S. Don’t forget… next Wednesday is when our corporate partners over at TradeSmith unveil their breakthrough TradeSmith GPT software. CEO Keith Kaplan will host a free broadcast, and if you register now, you will receive access to a “lite” version of the system so you can try it out yourself. Sign up for free here.

The post Why the Fed Didn’t Cut Rates This Week – and What Happens Next appeared first on InvestorPlace.

We missed last week because I was in Montana with my family, unwinding at Flathead Lake near Glacier National Park. I spent summers there as a kid, and now I take my little ones up each year. As plugged-in as I am, there’s something special about disconnecting – but I did get to try out Elon’s Starlink, which delivered blazingly fast internet in a place where cell service barely exists. It’s a reminder that exponential tech is reaching every corner of the world, whether we want it to or not.

Of course, the markets and news never sleep. And as I was in Montana, tensions continued rising in the Middle East. Israel and Iran have exchanged strikes, and betting markets like Polymarket now show a 70% probability of U.S. military action against Iran. That’s up from 40% just weeks ago. Despite this, markets remain calm.

Why? Because AI is the signal. 

Without the anchor of exponential innovation, geopolitical shocks like this would send markets spiraling. Instead, investors are looking past conflict, focusing on a more profound transformation: sovereign AI.

The Rise of Sovereign AI

Sovereign AI isn’t about chatbots or poetry. It’s about AI built by nations, for nations, to run nations.

We’re talking about systems that:

• Manage national energy grids
• Control missile defense and security infrastructure
• Overhaul country-wide healthcare operations
• Streamline bureaucracy with tech-company-level efficiency

This is the deepest-pocketed AI race on the planet, and it’s accelerating:

• OpenAI just landed a $200M Pentagon deal
• Nvidia (NVDA) is building sovereign AI with Germany
• Gulf states are pouring billions into sovereign AI ecosystems

Countries that lead in sovereign AI will dominate economically, militarily, and politically.

Imagine government services running like Amazon (AMZN). Permits would be processed in minutes. Potholes could be fixed before you know they exist. That’s not a dream; It’s the direction we’re heading, driven by necessity as nations wrestle with debt and deficits.

This trend is sparking an AI infrastructure supercycle. While consumer AI has seen its initial surge, sovereign AI is where the next trillion-dollar opportunities lie.

That’s why AI builders and chipmakers remain compelling – even in a choppy market.

From Training to Thinking Machines

A major evolution is underway. We’re moving from training-centric AI – massive models preloaded with data – to inferencing-first AI that can think, adapt, and problem-solve on the fly.

This shift favors a broader chip ecosystem. Whereas the Training Era was dominated by Nvidia’s GPUs, the Inferencing Era is seeing new demand for TPUs, XPUs, and vision chips.

Even grabbing 1% of Nvidia’s projected $250B revenue pie by 2027 could mean billions for upstarts like Ambarella (AMBA) or Lumentum (LITE).

This is a foundational shift in global governance. Sovereign AI will:

• Slash inefficiency
• Supercharge defense
• Rewire public infrastructure
• Drive economic supremacy

The stakes are existential: nations that fail to lead in sovereign AI risk falling behind economically, militarily, and geopolitically. But the upside is generational – those who get it right will redefine how governments function, how citizens live, and how power is distributed on a global scale.

This isn’t a tech upgrade. It’s a new operating system for civilization.

The sovereign AI revolution isn’t coming. It’s here. It’s scaling fast. And it’s rewriting the rules of governance, security, and innovation in real time.

Ignore it, and you’ll be left behind. Understand it, and you’ll be ahead of the most important transformation of our time.

Click here to watch on YouTube.

The post The Sovereign AI Revolution Reshaping Nations and Markets appeared first on InvestorPlace.

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This afternoon, the Federal Reserve held interest rates steady at the current target rate of 4.25% – 4.50%.

Looking ahead, the Fed is still loosely penciling in two quarter-point rate cuts in 2025.

For more details, let’s turn to the Fed’s updated Dot Plot.

To make sure we’re all on the same page, the Dot Plot is a visual representation of where each FOMC member projects the fed funds target rate will be over the next few years. It’s part of the Summary of Economic Projections (SEP) that contains forecasts from FOMC members on key economic indicators like GDP growth, inflation, and unemployment.

Here’s CNBC:

The committee indicated, through its closely watched “dot plot,” that two cuts by the end of 2025 are still on the table.

However, it lopped off one cut for both 2026 and 2027, putting the expected future rate cuts at four, or a full percentage point.

As to the timing of the first of those two cuts, the CME Group’s FedWatch Tool is banking on September.

As you can see below, the current probability of at least one quarter-point cut in September clocks in at almost 65%.

Here are additional highlights from the SEP:

• Fed officials expect core PCE inflation to jump to 3.1% by the end of 2025, higher than the 2.8% core rate forecast in March
• Inflation is expected to cool in 2026, with core PCE dropping to 2.4%
• Fed officials project the unemployment rate, at 4.2% in May, will climb to 4.5% by the end of the year

The TLDR (“too long, didn’t read”) synopsis of Powell’s press conference was:

The economy is still largely in good shape and not screaming for a rate cut… though inflation hasn’t kicked in yet, we expect higher prices are coming… uncertainty remains elevated… we’re going to wait to adjust policy until the data point us one way or the other.

Inflation – or rather the lack of interest rate cuts given recent cool inflation numbers – was the big question coming into today’s press conference.

As legendary investor �������°� pointed out, the Fed owed the public greater transparency over not cutting rates despite several months of good inflation data.

When asked about this, Powell shifted the focus from backward- to forward-looking data:

Everyone that I know is forecasting a meaningful increase in inflation in coming months from tariffs because someone has to pay for the tariffs.

It will be someone…between the manufacturer, the exporter, the importer, the retailer, ultimately somebody putting it into a good of some kind or just the consumer buying it.

All through that chain, people will be trying not to be the ones who can take up the cost but ultimately, the cost of the tariff has to be paid. And some of it will fall on the end consumer.

Despite this answer, Powell was quick to hedge the Fed’s rate policy path looking ahead. When pressed by a reporter about the wide variance in rate forecasts from Fed members, Powell said that, “No one holds these rate paths with a great deal of conviction.”

He went on to say that as new data arrives, removing uncertainty, the Fed members are more likely to be in greater agreement on rate policy.

Given Louis’ repeated commentary on the Fed, let’s get his quick take. From today’s Flash Alert in Growth Investor:

The FOMC statement was pretty good, folks.

They said uncertainty about the economic outlook has diminished but remains elevated.

There are some hawks on the FOMC, but the bottom line is they’re just uncertain. It’s as simple as that.

We’ll bring you more of Louis’ detailed analysis over the coming days.

All told, there’s not much more to say – today’s FOMC meeting landed squarely in the “no surprises” category.

The Fed stuck to its script and left rates unchanged as expected… markets remain positioned for a potential cut in September… and though forward-looking data projections changed some, there were no shockers.

Bottom line: This was an in-between meeting: not a pivot, not a panic – just a “steady-as-she-goes until more data arrives” meeting.

To help us answer that, let’s return to a term we coined back in the fall of 2023: the “Toxic Trifecta.”

“Trifecta” references the three variables in our spotlight – the 10-year Treasury yield, the U.S. dollar, and oil prices. “Toxic” was an accurate description for them at the time (from the perspective of a bullish investor).

But since then, we’ve enjoyed stretches of more favorable conditions when the better term would be “Terrific Trifecta” as their respective prices/levels supported market gains.

So, where are we today?

Let’s begin with the 10-year Treasury yield.

Even though the Fed didn’t lower rates today, the prevailing opinion is that we’ll get a cut in September.

So, that would be bullish for the 10-year Treasury yield, right?

Well, let’s back up and fill in some holes so that we can properly analyze this.

The 10-year Treasury yield is the single most important number in the global financial market. The higher it climbs, the more pressure it puts on stock prices and Main Street budgets. So, all else equal, we want lower treasury yields.

Now, the default assumption is “lower rates from the Fed equals lower treasury yields.” And while this is generally true, it’s not an ironclad certainty.

To illustrate, let’s rewind to last fall. Even though the Fed began cutting rates, the 10-year Treasury yield rose, bucking the traditional relationship. This happened because the Fed only controls the short-term federal funds rate. While it influences the 10-year Treasury yield, the real driver of that rate is the bond market, and last fall, they rebelled and pushed rates higher, not lower.

This reflected the anxieties that bond market participants had around our government’s out-of-control debt and spending. These “Bond Vigilantes” dumped bonds, therein driving up yields, effectively punishing the government with higher borrowing costs.

So, when the Fed decides to cut interest rates, it’s no guarantee that the bond market will go along for the ride.

Today, the 10-year Treasury yield current trades at 4.37% as you’ll see on the chart below.

This is the same level as fall 2023. Although the yield has bounced around during this period, the yield has stayed within a general range of 3.60% on the bottom and 4.75% on top. So, we’re closer to the top of this range.

Now, the 10-year Treasury yield sitting at this somewhat elevated rate doesn’t mean stocks can’t or won’t climb. The explosive rally since the “Liberation Day” low in April is testament to that.

However, we can say that the 10-year Treasury yield at 4.37% isn’t supportive of a roaring bull.

A few days ago, in his Innovation Investor Daily Notes, our hypergrowth expert Luke Lango referred to the elevated 10-year yield as the “fly in the ointment.” While bullish about market conditions, he noted that the 10-year at this level isn’t “lighting the market on fire.”

So, what are we to conclude?

The 10-year Treasury yield is currently neutral for stocks – neither supporting additional gains nor pushing heavily against them.

Therefore, the speculation centers on which direction this yield begins to break – up or down.

Who will take control? Bulls excited about rate cuts in September? Or Bond Vigilantes rebelling against egregious government spending? We’ll see.

For now, the 10-year Treasury yield is neutral for stocks…but has wildcard potential.

In the same way that stock prices don’t respond well to surging Treasury yields, neither do they like a U.S. dollar that’s too strong.

You see, when U.S. multinationals convert foreign revenues back into dollars, a strong dollar makes those earnings worth less. So even if business is steady overseas, the exchange rate can make it look like profits are shrinking.

What many investors don’t realize is that roughly 40% of the S&P’s revenues are generated outside U.S. borders. For the tech sector, that exposure jumps to nearly 60%.

So, the strength (or weakness) of the dollar can have a big impact on earnings – and by extension, stock prices…and your portfolio value.

The good news for investors today is that the U.S. dollar is relatively weak – and getting weaker.

As you can see below, the U.S. Dollar Index (which measures the value of the dollar relative to a basket of foreign currencies) has been falling all year.

The greenback has lost 10% since late January.

While this isn’t a collapse, it’s a significant pullback driven by trade deficits, rising fiscal concerns, and even waning confidence in the dollar as the world’s reserve currency.

On Main Street, a weak dollar can strain family budgets by making imported goods – like electronics, clothes, and even some groceries – more expensive. It can also drive up the cost of travel abroad and contribute to broader inflation pressures at home.

But from a stock perspective, a weaker dollar is generally supportive of higher prices due to the conversion/earnings tailwind we highlighted a moment ago.

From here, we’ll be watching to see if the U.S. Dollar Index rallies and bounces higher into its recent trading range, or if it breaks decisively below 97, which would signal a more significant move with wider ripple effects that we’ll profile in a different Digest.

For now, our bottom line is that the weaker U.S. dollar is supportive of gains for stocks as we push deeper into the summer.

Obviously, high oil prices hurt drivers at the pump. But they also impact consumers in less obvious ways…

Oil/gas is used in countless sectors as an ingredient in all sorts of consumer goods (to name a few: cameras, coffee makers, golf balls, lipstick, sunglasses…it’s an enormous list). So, oil/gas prices influence the stock market – and our portfolios – even if we don’t have a great deal of exposure to the oil patch.

Oil prices have spent much of 2025 in a subdued range, weighed down by soft global demand and rising non-OPEC supply.

Slower-than-expected growth in China and a steady ramp-up of U.S. shale output have helped keep a lid on prices, while concerns about a cooling manufacturing sector in Europe and Asia added to the bearish tone. For much of the year, oil struggled to break meaningfully above $75 per barrel.

That changed abruptly with the recent escalation in the Israel-Iran conflict.

Fears of a wider regional war disrupting supply routes through the Strait of Hormuz – through which about 20% of global oil flows – sparked a sharp rally.

As I write Wednesday, the WTI Crude (the U.S. benchmark) trades at nearly $75 – miles above $57, its most recent low from May.

If the Israel/Iran conflict remains contained and supply remains uninterrupted, prices should drift back toward pre-conflict levels in the $60s.

But if hostilities spread – or if Iranian production is directly affected – oil could punch through $100.

Whatever happens in the immediate future, our medium-term outlook still points toward soft underlying demand. So, absent a supply shock, the recent surge in oil prices is likely short-lived.

Now, in past Digests, we’ve made the case for higher oil prices as we look further out on the horizon. We stand by that, but those prices will rise based on wider supply/demand dynamics that will take longer to play out (12 months+).

For now, barring a wider war in the Middle East, volatility is the name of the game, with an edge to lower prices. Score another one for bulls as we look toward the end of summer.

The 10-year Treasury yield, while elevated, isn’t actively smothering the rally…

The U.S. dollar’s weakness is helping multinationals…

And oil – despite its geopolitical spike – is still trending within a manageable range.

Could any of these variables turn “toxic” again?

Absolutely. But at this moment, none are flashing red.

That gives this bull market some breathing room, and potentially, even more runway, as we look toward the fall.

Bottom line: With the Trifecta more “Terrific” than “Toxic” today, we’re staying bullish and sticking with this rally.

Have a good evening,

Jeff Remsburg

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