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The changing market stew… Inflation numbers are heading higher… The irony of Fed and interest-rate expectations… Kevin Warsh is in Washington… Sentiment changed quickly… Resembling the early days…
War… tariffs… and the ‘next thing’…
In a nearly 40-minute phone conversation broadcast live on CNBC this morning, President Donald Trump answered every question a trio of hosts asked, and then some…
On negotiations with Iran, Trump said the U.S. will “end up with a great deal,” but also “expects to be bombing” Iran if a deal isn’t reached.
Later, after today’s market close, Trump said that he would “extend the Ceasefire” so the “seriously fractured” government of Iran could “come up with a unified proposal” in negotiations, presumably about key subjects like the nation’s nuclear ambitions.
This morning, the president also briefly discussed tariffs and expressed frustration that Uncle Sam is now on the hook for $165 billion in refunds since the Supreme Court ruled his tariff policy illegal earlier this year.
Trump also addressed the “next thing,” as we’ve described it over the past month or so – high(er) inflation (again) – with the war in Iran raising energy prices.
The Cleveland Federal Reserve is now projecting a 3.6% headline inflation rate for April and a roughly 5% rate for the second quarter. The former would be the highest headline monthly number since August 2023.
One hopes the conflict in the Middle East will soon be over. But expect a continued inflationary environment in the months ahead.
The issue is multifold…
While most folks are focused on the price at the gas pump, there are also outstanding questions about future global oil and gas supply.
The last of pre-war Persian Gulf oil has reached its destination, and only a small fraction of what would normally be 20% of global oil supply has moved since.
Even with a “ceasefire” in place, the U.S. will continue a “blockade” of the Strait of Hormuz… while at least part of the Iranian military also maintains it has control of the key passage. Meantime, oil shipments and hundreds of tankers are stalled as part of the battlefield. And emergency reserves aren’t enough to fill the gaps without prices rising.
Plus, Qatar’s critical liquefied natural gas facility, which accounts for at least 20% of global exports, isn’t fully operational (and it likely won’t be for years) because of Iranian attacks.
So we also have to consider what continued higher prices for consumers and producers might mean for the overall economy… Fed policy… and the market.
Speaking of the Fed…
For nearly two years, the market has been expecting a lower-interest-rate environment once current Fed Chair Jerome Powell’s term expires this May.
Ironically, now that Trump’s nominee, Kevin Warsh, is poised to take over, the market isn’t banking on rate cuts anymore… at least not until sometime in 2027 because of the resurgence of war-related inflation.
Trump has publicly criticized Powell for not lowering rates since his 2024 election. So on CNBC this morning, journalist Becky Quick asked the president, “Will you be disappointed if your new Fed Chair, if he gets approved, doesn’t cut rates right away?”
“I would,” Trump said. Though he later added some qualifiers: 1) that he believes interest-rate hikes do help stop inflation, but 2) the U.S. “should have the lowest interest rate in the world.” That last part is an important detail when it comes to his Fed criticism.
In the meantime, Warsh testified today at Capitol Hill ahead of the Congressional vote on his nomination. Among other things, he said he won’t be Trump’s “sock puppet” for policy, as Senator Elizabeth Warren said he would, and that Trump never asked him for assurances that he would lower rates.
Like spring returning, the Fed/White House/Congress gamesmanship begins anew.
Warsh also suggested that there are too many Fed post-policy meeting press conferences. And he also seemed interested in cutting back on the amount of guidance the central bank and its governors give publicly. He said…
Too many Fed officials, past and present, opine in advance about where they think interest rates should be next meeting, next quarter and next year. I think that’s quite unhelpful.
If this indicates there will be less “opining” from the Fed under Warsh, then “reading between the lines” of economic data, politics, and policy (which we try to do here) might become even more valuable. Fed “surprises” could also become more frequent.
That was quick…
During the TV interview this morning, Trump also said he was surprised the stock market didn’t lose more… and that oil prices hadn’t moved higher. That could end up being a warning of sorts…
While market “fear” has dissipated over the past two weeks, and enough investors have been looking past the short-term war risks to deliver a “V shaped” recovery in the indexes, sentiment has also now probably – too quickly – turned to “greed.”
The war in Iran resulted in extreme fear just a few weeks ago. Now there’s extreme bullishness among investors. Again, all of this is happening in a very short span.
Many hedge funds had to cover shorts and chase this market higher.
Today, we can see an extreme on the other end of the spectrum. Here’s the CBOE equity put/call ratio, which measures the amount of puts versus calls traded on the CBOE exchange.
As Greg points out with the red arrow in the chart above (click here to enlarge), the put/call ratio has dropped to around 0.4. In previous instances, “a low in this ratio almost always marks some type of market top.” The last time it happened was in January. As Greg wrote…
So we’re back near this level again. Investors seem to think the war in Iran will end quickly, similar to what happened last year regarding tariffs. They may be wrong. Also, private-credit stress is building… President Donald Trump is set to meet with Chinese President Xi Jinping to talk trade (again) next month… And the Federal Reserve meeting next week is unlikely to have positive news around oil and inflation constraints.
These are of course the “whys” behind a potential market drawdown. But if we take into account the extreme bullish positioning of calls versus puts shown in the chart above, it’s bad news… The market almost always hurts the most people when everyone is on the same side of the boat.
In this case, a steep decline would do just that.
So, yes, there are opportunities to make long-term investments amid war-related volatility (as we discussed yesterday). But, as we write today, the market may have moved past the associated risks a little too quickly.
If you’re anticipating the short-term surge in U.S. stocks to continue, you may want to temper those expectations.
Today brought some possible early signs of a cooldown as the market resembled the early days of the Iran war.
The major U.S. stock indexes were all lower, with the U.S. benchmark S&P 500 Index down 0.6%, and only the energy sector up significantly. Volatility also picked up with the CBOE Volatility Index around 20. And oil futures gained around 5% as the world waits to see what happens next in the Middle East.
Thirty-year Wall Street veteran Joel Litman is warning that the top four money managers – BlackRock, Vanguard, Fidelity, and State Street – are set to start liquidating major positions starting April 30. It’s because of a little-known financial framework that mandates these money managers MUST sell. This happens every year like clockwork. Last year, his analysis shows it sent dozens of stocks spiraling… but also gave you the chance to double your money 21 times. Get up to speed here before Wall Street starts selling.
This February, Elon Musk spent millions to send a message to 125 million Americans. Most people ignored it. But Wall Street veteran Whitney Tilson couldn’t stop thinking about it, and he says that what Musk was really saying explains everything about what’s unfolding in America’s economy right now. He’s sharing his full analysis for free here.
New 52-week highs (as of 4/20/26): Arista Networks (ANET), Alpha Architect 1-3 Month Box Fusnd (BOXX), Cisco Systems (CSCO), Emcor (EME), EnerSys (ENS), Hilton Worldwide (HLT), Hubbell (HUBB), iShares Convertible Bond Fund (ICVT), LXP Industrial Trust (LXP), Nucor (NUE), Invesco WilderHill Clean Energy Fund (PBW), Public Storage (PSA), Ryder System (R), Roku (ROKU), Twist Bioscience (TWST), Texas Instruments (TXN), Vale (VALE), and State Street SPDR S&P Semiconductor Fund (XSD).
Corey McLaughlin Baltimore, Maryland April 21, 2026
Stansberry Research Top 10 Open Recommendations
Top 10 highest-returning open stock positions across all Stansberry Research portfolios. Returns represent the total return from the initial recommendation.InvestmentBuy DateReturnPublicationMSFT Microsoft11/11/101,380.3%Retirement MillionaireMSFT Microsoft02/10/121,349.8%Stansberry’s Investment AdvisoryCIEN Ciena10/20/22810.3%Stansberry Innovations ReportADP Automatic Data Processing10/09/08787.9%Extreme ValueBRK.B Berkshire Hathaway04/01/09765.1%Retirement MillionaireGOOGL Alphabet12/15/16731.6%Retirement MillionaireSII Sprott01/11/18678.0%Extreme ValueALS-T Altius Minerals03/26/09671.5%Extreme ValueWRB W.R. Berkley03/15/12615.1%Stansberry’s Investment AdvisoryLITE Lumentum04/15/21572.8%Stansberry Innovations Report
Please note: Securities appearing in the Top 10 are not necessarily recommended buys at current prices. The list reflects the best-performing positions currently in the model portfolio of any Stansberry Research publication. The buy date reflects when the editor recommended the investment in the listed publication, and the return shows its performance since that date. To learn if a security is still a recommended buy today, you must be a subscriber to that publication and refer to the most recent portfolio.
Top 10 Totals3Extreme ValueFerris3Retirement MillionaireDoc2Stansberry Innovations ReportEngel2Stansberry’s Investment AdvisoryPorter
Top 5 Crypto Capital Open Recommendations
Top 5 highest-returning open positions in the Crypto Capital model portfolioInvestmentBuy DateReturnPublicationBTC/USD Bitcoin11/27/181,918.8%Crypto CapitalWSTETH/USD Wrapped Staked Ethereum12/07/181,873.7%Crypto CapitalONE/USD Harmony12/16/191,009.5%Crypto CapitalPOL/USD Polygon02/26/21641.5%Crypto CapitalQRL/USD Quantum Resistant Ledger01/19/21524.8%Crypto Capital
Please note: Securities appearing in the Top 5 are not necessarily recommended buys at current prices. The list reflects the best-performing positions currently in the Crypto Capital model portfolio. The buy date reflects when the recommendation was made, and the return shows its performance since that date. To learn if it’s still a recommended buy today, you must be a subscriber and refer to the most recent portfolio.
^ These gains occurred with a partial position in the respective stocks. * Editor Dave Lashmet closed the first leg of this Nvidia position in November 2016 for a gain of about 108%. Then, he closed the second leg in July 2020 for a 777% return. And finally, in May 2022, he booked a 1,466% return on the final leg. Subscribers who followed his advice on Nvidia could’ve recorded a total weighted average gain of more than 600%.
Stansberry Research Crypto Hall of Fame
Top 5 highest-returning closed positions in the Crypto Capital model portfolioInvestmentDurationGainAnalystBand Protocol (BAND)0.31 years1,169%Crypto CapitalTerra (LUNA)0.41 years1,166%Crypto CapitalPolymesh (POLYX)3.84 years1,157%Crypto CapitalFrontier (FRONT)0.09 years979%Crypto CapitalBinance Coin (BNB)1.78 years963%Crypto Capital
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Editor’s Note: After 21 years, a fintech firm that tracks $29 billion claims to have ‘cracked’ the strategy behind legendary hedge fund Renaissance Technologies, which returned 9,000,000%. If so, that would make this one of the greatest breakthroughs in the history of stock trading. Today, you’re invited to try it…
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Please — Don’t Skip Tomorrow’s AI Signals Trading Event
I’m reaching out one more time, because I think this new AI system is simply fantastic, and worth your attention. It works in bull or bear markets, even booking a 1,278% total return over a 5-year backtest.
It returned 124% in our backtest last year, crash and all.
But it’s still early, which means 99% of the investing population hasn’t caught on to this strategy yet and you still have an enormous opportunity, especially with the massive flip we foresee coming to stocks this month.
That’s why I urge you to watch our AI briefing tomorrow.
The event is free to attend, endorsed by 4 Wall Street legends.
And you’ll even get 3 free picks from our team, whose last free pick, back in January, rose 94% in 25 days. So if nothing else, be sure to at least sign up and jot down those 3 ticker symbols at 10 am ET.
P.S. Remember: Even if you choose to ignore this, until tomorrow you can get FREE access to our new AI for the first time ever ($5,000 value).
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The dot-com playbook is back… AI’s gains are going to fewer companies than you think… how to trade when narratives mislead… tomorrow’s AI Signals Trading Event at 10:00 a.m. Eastern
In January 1999, MIS International hadn’t made a dime of profit, and its stock traded below $0.50 per share.
But MIS management was aware of a powerful sentiment shift rippling through the broader business and stock market landscape. It had to do with a new, electrifying phrase…
“Dot Com.”
Younger investors might not recall, but in the late 90s, the term “Dot Com” was magic. It promised vast riches from companies that had found a way to leverage the power of the internet. Virtually any company possessing even the faintest scent of “Dot Com” was investment gold.
MIS realized this and decided to signal to the business world (and Wall Street) that it was now a budding digital economy leader.
And how would it signal this, exactly?
By changing its name to include “Dot Com.” And so, MIS International became Cosmoz.com.
You know where this is going…
How much of a bump do you think the stock enjoyed?
100%…?
300%…?
From less than $0.50 a share, Cosmoz.com – which again, had never turned a dime of profit – soared nearly 1,000% to $5 a share.
Fast forward to 2001 in the wake of the Dot Com meltdown
As analysts and commentators sifted through the wreckage after the Dot Com crash, three Purdue University finance professors published a fascinating takeaway…
They looked at 95 companies that had added “Dot com” or “Internet” to their names during the ‘90s bubble run-up.
What was the impact on the stock prices of these companies in the wake of this branding shift?
On average, they enjoyed a 74% stock price surge.
It didn’t matter whether the “Dot Com” addition accurately reflected the company’s core business operations – the average stock price surged in the wake of the name change. That’s how much investors wanted to be a part of “Dot Com.”
Billion-dollar tech investor Louis Navellier calls it “AI’s darkest secret.” Until AI models solve the “Strawberry Problem,” they’ll never create new breakthroughs in medicine, energy, or quantum computing. The good news? One company is about to solve the crisis… unleashing a new $100 trillion opportunity. Click here for details.
How history likes to repeat itself
Last week, Allbirds (BIRD) – the sustainable sneaker brand once valued at $4 billion (now trading at a fraction of that) – announced a pivot from shoes to artificial intelligence.
The company will now be called NewBird AI (still with the same ticker “BIRD”), will raise up to $50 million in new funding and will provide GPU-based cloud compute services.
And what did the stock do in the wake of this AI pivot?
It soared 582%… in a day.
Our global macro investing expert Eric Fry, editor of Fry’s Investment Report, reminded his readers that we have seen this movie before.
In his recent analysis, he drew a direct parallel to Algorhythm Holdings (RIME) – formerly The Singing Machine Company, a karaoke machine maker that pivoted to AI logistics in 2024.
The stock surged on the announcement, then logged losses in both 2024 and 2025 (and is flat so far this year).
Here’s Eric drawing the comparison to Allbirds:
Like the hype chasers in the dot-com era, Algorhythm came from a non-tech sector and experienced a valuation spike after announcing a pivot into AI. That spike proved to be short lived.
Allbirds will likely find itself on a similar path.
I’ll note that BIRD has fallen more than 50% from its pivot peak.
Eric’s analysis cuts to the heart of why: there’s a meaningful difference between companies that are “AI Survivors” and “AI Appliers” – businesses whose models genuinely benefit from AI or can outlast it – and companies that are simply chasing a hot narrative.
Allbirds, in his view, falls squarely in the latter camp.
For a contrast, Eric points to Birkenstock (BIRK) – another simple, comfortable shoe brand, but one with genuine competitive advantages.
Here’s Eric:
To plainly state the differences: Birkenstock is a profitable, growing, brand-driven business.
On the other hand, Allbirds is a shrinking, unprofitable, trend-driven business.
Beyond Birkenstock, Eric recommends a range of AI Survivor and AI Applier companies in his Fry’s Investment Reportportfolio – including a brand of outdoor recreation products, a drive-through coffee shop with a cultlike following, and a king among princes in the drug sector. For the full list, click here to learn more.
Now, looking wider, recent data are beginning to show that simply pivoting to “AI” isn’t the fix-all that C-suite managers – or investors – might think. It turns out, the companies actually capturing AI’s economic gains are a much smaller, more disciplined group than the headlines suggest.
As for everyone else, so far, the evidence is underwhelming…
AI is everywhere…except maybe the data
In 1987, economist Robert Solow made a fascinating observation…
Corporate America had been adopting computers throughout the American workplace for a decade. Productivity growth was supposed to surge.
Instead, as Solow realized, it had slowed.
From Solow:
You can see the computer age everywhere but in the productivity statistics.
That line became known as “Solow’s productivity paradox.” And according to Apollo chief economist Torsten Slok, we may be living through its sequel:
AI is everywhere except in the incoming macroeconomic data.
Today, you don’t see AI in the employment data, productivity data or inflation data.
Similarly, for the S&P 493, there are no signs of AI in profit margins or earnings expectations.
That’s a startling takeaway, but it’s consistent with results from a new study by the National Bureau of Economic Research.
Among 6,000 CEOs, CFOs, and other executives surveyed across the U.S., U.K., Germany, and Australia, nearly 90% reported that AI has had no impact on employment or productivity over the past three years.
Among those using AI, average weekly usage is roughly 1.5 hours.
That backdrop makes a new global study from PwC released last week even more interesting.
Their AI Performance study – based on 1,217 senior executives across 25 sectors – found that nearly three-quarters of AI’s economic value is being captured by just one-fifth of organizations.
Here’s PwC’s Global Chief AI Officer Joe Atkinson:
Many companies are busy rolling out AI pilots, but only a minority are converting that activity into measurable financial returns.
The leaders stand out because they point AI at growth, not just cost reduction, and back that ambition with the foundations that make AI scalable and reliable.
The gains are real – they’re just concentrated
These findings echo our March 26 Digestin which we discussed how, even within AI, a new divide is forming.
There’s a split between the “secure elite” – companies at the center of the AI buildout, like chipmakers, data center suppliers, and infrastructure players – and various consumer-facing AI products that may be at risk as newer, more intelligent versions of AI cannibalize older ones.
Outside of the secure elite, the question is whether the lack of ROI is a structural reality or a timing issue.
Fortune laid out the case for the latter back in February, pointing to the IT boom of the 1970s and ’80s. Productivity growth slowed for two decades after computers arrived – but then surged in the 1990s.
Returning to Slok, he sees a similar possibility with AI – what he calls a “J-curve” effect:
Maybe there is a J‑curve effect for AI, where it takes time for AI to show up in the macro data. Maybe not.
Whether there is a J-curve effect depends on the value creation from AI.
There is fierce competition between the builders of large language models (LLMs), which is driving the price of LLMs toward zero for end-users.
In other words, from a macro perspective, the value creation is not the product, but how generative AI is used and implemented in different sectors in the economy.
Stanford’s Erik Brynjolfsson, writing in the Financial Times, noted that fourth-quarter GDP was tracking up 3.7% despite only modest job growth – a pattern he sees as consistent with a productivity surge already underway.
His analysis points to a 2.7% jump in U.S. productivity last year, which he attributes to AI investments beginning to pay off.
So, what does all this mean for us as investors?
It paints a complex picture of some winners, many underperformers, and a varied timeline of returns – certainly a more nuanced take than “Allbirds is now an AI stock! Buy it!”
Bottom line: The J-curve may be real… the AI productivity gains may be coming… but the data show they’re arriving later than the market has been pricing – and they’re going to a much smaller slice of companies than most investors assume.
Which raises a practical question for anyone trying to trade AI stocks in this environment.
A different way to read the market
Given this uneven AI growth story, we need to be especially careful about building trading strategies around AI narratives. But as we’ve been highlighting in the Digest over the past few days, investors have other options.
Our corporate affiliate TradeSmith has been developing an approach that sidesteps the problem entirely. Instead of analyzing what AI does or doesn’t do for a given business, their system looks at each stock’s own historical behavioral patterns.
Here’s TradeSmith CEO Keith Kaplan with how it works:
Every great trade has its own thumbprint.
In linguistics, it might be a writing style or a phrase.
In the stock market, it’s a unique combination of data points that, taken together, signal a high-probability trade.
In a live internal beta test, the top 100 signal trades produced an average gain of 2.6% over nine trading days – roughly 7x the S&P 500 over the same stretch. Annualized, that’s the equivalent of a 73% return.
Here’s Keith with a specific example:
One of our beta test trades was on Equifax Inc. (EFX).
Two factors had to align for this signal to fire. The stock had to close down four consecutive days. And market volatility had to rise above its 10-day average.
When both conditions aligned, the result was a 15.2% gain in seven days — against a 91% historical accuracy rate.
This new kind of trading system doesn’t care whether we’re in a bull or a bear market. It doesn’t need a strong economy or a calm geopolitical environment.
It just needs certain factors to align. That’s what makes it so powerful in today’s market.
I’ll walk you through how it works in more detail – including the signals it’s tracking right now and the trades it’s flagging for the weeks ahead – during our AI Signals Trading Event launch tomorrow morning.
Overall, the throughline from Cosmoz.com to Allbirds to the productivity data is the same story…
Markets move fast on narratives, but the underlying reality often takes longer to arrive – and lands more unevenly – than most investors expect.
Knowing that doesn’t mean avoiding AI. But it means being thoughtful about how you invest in it for the long term and disciplined about how you trade it in the short term.
Have a good evening,
Jeff Remsburg
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The NASDAQ just broke out of an 8-month rectangle pattern. Gianni Di Poce says this is a very significant move and we are still early in the rally.
The base measured roughly 3,000 points. A larger base produces a larger move higher, and Gianni is now targeting 29,000 to 30,000 on the NASDAQ in a matter of months.
The Trinity Trade has been cashing in on the exact setups feeding this breakout. Gianni booked 51% gains on Marvell Technology in three weeks and closed AMD calls 170% higher last week.
Technology just hit a new all-time high and reclaimed the top spot as the strongest performing sector on the year.
Here is what Gianni broke down in tonight’s video:
The NASDAQ built a 3,000-point base over eight months and is now breaking above it, placing this rally in its early innings with 29,000 to 30,000 as the conservative upside target.
His S&P 500 target sits at 7,700 conservatively, with the index still early in its rally phase and the VIX holding below 20.
Oil looks positioned for one more washout toward $75 per barrel before marking a tradable bottom in the energy space.
Bitcoin holding 74,000 to 76,000 opens a path to 82,000 to 86,000, while Ethereum above 23,000 clears the way to 33,000.
Gianni points out that sentiment is still not bullish and the rally is widely hated. That disbelief is exactly why this move has room to run.
His message for traders who missed the initial push is to stay patient and wait for the next individual setup. The Trinity Trade is built to spot them in real time.
In two days I’m going live to show you how I trade the biggest window of the quarter.
Four times a year I stop forcing trades and let the calendar do the work. I call these stretches the Judgment Days, and the next one opens Thursday.
Last window my log printed CRWV +247%, COIN +193%, GOOGL +150%. All one-day holds. In the morning, out by the afternoon.
Thursday at 2pm EST I’m walking you through which days inside this window I’m targeting, how I’m sizing, and the setups I expect to move biggest over the next five weeks.
Miss it and you wait until summer for the next one.
This is the perfect time to make sure you’re up to speed on your trading know-how. So I want to ensure you’ve read our free Rebel’s Guide to Trading Options – it covers all the basics of trading options. Like everything we do, the course is in plain English. It’s specially geared toward beginners but all traders will get something out of it. Yours absolutely free, of course – right here…
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Automation is transforming every industry. From factories to AI-driven robotics, a few companies are leading the charge. Discover 3 robotics stocks positioned to benefit from the rapid rise of automation.
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Over the years, smart investors have learned to pay close attention when NVIDIA Corp. (NVDA) CEO Jensen Huang steps onto a stage.
Much like Steve Jobs in his prime at Apple Inc. (AAPL), Huang has a rare ability to see where technology is headed and explain it in a way that captures the market’s imagination.
And investors who listened – and positioned themselves early – have made fortunes.
That is why I’m surprised that one of Huang’s most remarkable comments from NVIDIA’s recent GTC conference has not received more attention.
In fairness, the timing helps explain it. The headlines have been dominated by rising tensions in the Middle East, especially between the United States and Iran.
But I do not think investors can afford to miss what Huang said.
Because when he described one new software release as “probably the single most important release of software, you know, probably ever,” we should all pay attention.
He was not talking about a better chatbot.
He was pointing to what I believe is the next major phase of the AI Revolution.
I’m talking about AI agents.
In today’s Market 360, I want to explain what AI agents really are, how they emerged so quickly and why they could become far more disruptive than the first phase of the AI boom. Then, we’ll wrap things up by discussing how you can position yourself to profit.
Billion-dollar tech investor Louis Navellier calls it “AI’s darkest secret.” Until AI models solve the “Strawberry Problem,” they’ll never create new breakthroughs in medicine, energy, or quantum computing. The good news? One company is about to solve the crisis… unleashing a new $100 trillion opportunity. Click here for details.
From Chatbots to Agents
Most people still think of AI as a tool for generating answers. You ask a question. It responds. Maybe it writes an email, summarizes a document, generates an image or helps you clean up a bit of code.
That is the version of AI most people know.
But that is not where this story ends.
The next phase of AI is about agents.
An AI agent is not just a chatbot that gives you an answer. It is a system that can actually carry out tasks. It can follow instructions, handle multi-step assignments, solve problems, write code, test results and keep working toward a goal.
That is a very big leap.
It means AI is moving beyond conversation and into execution.
And this is not some far-off concept that belongs in a science-fiction script. Anthropic publicly rolled out its “computer use” capability in October 2024, allowing Claude to move a cursor, click on-screen locations and type into applications. Then, in July 2025, OpenAI introduced ChatGPT agent, saying it could “think and act” by choosing from a toolbox of skills and using its own computer to complete tasks.
In other words, the groundwork has already been laid.
The chatbot era taught millions of people how to interact with AI through prompts. Then developers began giving these systems tools. Access to browsers, files, software and workflows. Once that happened, it was only a matter of time before AI moved from answering questions to actually doing the work.
This is where OpenClaw enters the picture.
Why OpenClaw Changes Everything
See, OpenClaw is what Jensen Huang specifically referred to at the GTC conference. It’s been all the rage in Silicon Valley, yet I bet nine out of 10 people on the street have no clue about it.
To put it simply, OpenClaw is an open-source project created by Austrian developer Peter Steinberger. It went viral early this year with a simple but powerful pitch: This was the AI that actually does things.
It can write code, manage a calendar, book flights, handle online tasks and work across other systems on a user’s behalf. Think of it like having a digital employee or personal assistant.
The project was an instant hit. In fact, it was so popular with developers that it racked up 150,000+ GitHub stars in 72 hours.
You can see why Huang would be so struck by that. In fact, NVIDIA recently announced it would launch a product called NemoClaw that would add guardrails to OpenClaw and related open-source AI agents to make them safe for business use.
For years, the AI story has been dominated by models that talk better, search better and generate better.
Useful? Absolutely. Revolutionary? In many ways, yes.
But agents are different. Agents do not just sound intelligent. They can become economically useful.
A chatbot might help you draft a memo. An agent could gather the research, organize the notes, draft the first version, schedule the follow-up meeting, pull the relevant files and keep refining the work until it is done.
To put it simply, a chatbot might help you think, but an agent can help you execute.
And once AI begins doing real work, the implications spread far beyond Silicon Valley.
Think about what that means for a small business owner. An agent could handle customer follow-ups, schedule appointments, update records, prepare invoices and track supplies.
Or how about what it means for a family. It could help pay bills, organize travel, manage schedules, renew subscriptions and stay on top of all the little digital chores that eat up time.
Think about what it means inside a large company. Agents could support legal teams, finance departments, software engineers, sales staffs, call centers and back-office operations. They could work around the clock. They could eventually work in teams. And they could allow one skilled employee to become dramatically more productive.
In short, once AI agents are mainstreamed, we’re essentially talking about a full-blown productivity boom on a scale we’ve never seen.
How to Profit From the AI Reset
The first wave of AI changed how we access information.
This next wave could change how work gets done.
Barely a week seems to go by now without some fresh reminder that the market is beginning to understand that.
In February, fears around Anthropic’s Claude Cowork and related AI automation tools helped trigger a broad software selloff.
Bloomberg reported a $285 billion rout across software, financial services and asset-management stocks after Anthropic released new automation capabilities, while Fast Company said updates to Claude Cowork threatened to replace software tools already embedded in professional workflows.
Now, some of the stocks that were affected by that initial panic have recovered. Some haven’t.
But the point is, this is just a preview of things to come.
That matters because the first phase of the AI boom rewarded almost any company with a halfway believable AI story.
And for a while, it worked.
But I do not think that will be good enough in this next phase. Because once AI starts doing real work, investors will begin to ask tougher questions, like:
Who really benefits as AI agents become more capable?
Who has the computing power, the infrastructure and the business model to thrive as AI moves beyond conversation and into execution?
And just as important, which companies are still living off yesterday’s AI story?
That is where this story gets interesting.
Some companies will adapt beautifully and become even more valuable.
On that side of the equation, I’m specifically looking at the chips, platforms and infrastructure that make the whole agent economy possible.
But others will get exposed – like some of the legacy software names, for example.
That is why I have been paying such close attention to this story – and it’s one of the reasons I recently released a new presentation about what I’m calling theAI Reset.
Because if Jensen Huang is right, and AI agents really are the next major phase of the AI Revolution, then the biggest winners of the next cycle may not be the names most investors expect.
And some stocks that look perfectly safe today may not be nearly as safe as Wall Street assumes.
If you want to see where I believe this is headed, and how I recommend positioning before the crowd fully catches on, I encourage you to watch my latest presentation now.
Sincerely,
Louis Navellier 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)
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The 2026 IPO calendar is taking shape ‐ and it’s unusually concentrated.
Instead of a scattershot list of early‐stage hopefuls, the pipeline includes a handful of large private companies, each dominating a different segment of the economy.
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This company is moving toward a possible Nasdaq listing – and once that happens, the early window closes.
Before Wall Street prices it in, this company has already generated $6.4M in sales, placed Nature-Cide on Amazon.com, Walmart.com, and Kroger.com, and begun expanding into 41+ global markets.
Florida’s mosquito control districts-America’s most well-funded and influential-are independently testing Nature-Cide botanical pesticides, as this company pursues WHO pre-qualification for global public health adoption.
Some airlines have already said they would cut flight schedules amid rising jet fuel prices, and experts say further reductions would be likely if supplies dwindle.
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Today you are going to see the technology that could reshape the entire gold mining industry.
It all centers around a breakthrough extraction process — which you will see in a moment.
This process allows a tiny company to extract 136 times more gold than any traditional mining operation…
While a traditional mine pulls just 1 gram from the same weight of dirt.
Same effort. 136 times the yield.
And that’s why Thursday’s event at 7:00 PM ET is a “must-attend.
Because in today’s world, the old ways of building wealth are broken.
The Fed keeps printing…
Your savings keep shrinking…
And the traditional gold mining industry is producing less gold every year, at higher and higher costs.
But this tiny company has proven — there is a better way.
Here’s How They Do It
First, you need to understand what makes this company different.
Every processor, every circuit board, every server component contains trace amounts of precious metals. Gold. Silver. Palladium. Platinum. Copper.
These metals are essential for conductivity. Without them, the chip doesn’t work.
Now, here’s the key…
The world is creating an unprecedented wave of valuable materials that traditional industries overlook.
Tech companies like Nvidia, Google, Amazon, and Microsoft are spending hundreds of billions on AI infrastructure. New data centers. New chips. New servers.
But here’s what nobody talks about…
Those chips go obsolete in 18 months.
They get ripped out and replaced. Millions of pounds of circuit boards, processors, and components — tossed into the waste stream every single year.
And buried inside every single one of them… is gold.
And potentially impact every checking and savings account in America.
Click here nowbecause Chase, Bank of America, Citigroup, Wells Fargo, and U.S. Bancorp…
Are already preparing for what could be the biggest change to our financial system in 54 years.
A Note From Chief Income Strategist Marc Lichtenfeld: I’ve known Keith Kaplan, the CEO of TradeSmith, for a long time.
He’s a fun guy with a great sense of humor, but he doesn’t suffer fools. He doesn’t waste his time or anyone else’s.
So when he reaches out to me and says, “Marc, you should really take a look at this,” I stop what I’m doing and dig into what he sent me.
And my reaction is usually, “Dang, I wish he’d sent this sooner.”
That’s why we wanted to send this to you right away: so you have the chance to see TradeSmith’s new AI as it’s rolled out.
Tomorrow morning, during a special online event called The AI Signals Trading Event, Keith will unveil a new form of AI that he says could crush the market by 10-fold over the next 12 months.
A brother-in-law asks you at a family barbeque. A CNBC host asks a bigshot economist which way the market is headed. Or your broker sends you his annual outlook.
Heck, every week going back to 1987, the American Association of Individual Investors has asked its members which direction they think the market is headed over the next six months.
Millions of investors all asking the same question – and all missing the point.
The bull-or-bear question is a rookie trap.
Professional investors – especially the folks inside the world’s most profitable hedge funds – don’t think in these terms. They look for ways to profit whether stocks are going up or down.
Nobody understood this better than Jim Simons.
He didn’t build the most profitable hedge fund in history, Renaissance Technologies, by trying to predict the direction of the market. Instead, he used advanced algorithms – and reams of market data – to unearth repeating “signals” in stocks that point to high-probability trade setups.
Bull market or bear market, it didn’t matter. The signals worked either way.
It’s the same principle behind the new AI-powered trading system my team and I at TradeSmith have spent more than a year developing.
It’s inspired by Simons’ search for signals. And the results have blown us away.
In a five-year backtest, a model portfolio of these signals’ trades turned $10,000 into $1.2 million.
And in 2022 – the worst year for stocks in half a century – they produced an average gain of 16.6% while the S&P 500 fell nearly 20%.
I’ll show you more about how it works in a moment. Better still, I’ll give access to a beta version of our software so you can try it for yourself.
First, it’s important to understand how Simons pioneered this unorthodox trading technique. It started in a cramped office in a Long Island strip mall – about as far from the glitz of Wall Street as you can get.
The Search for Unique Signals
Simons had just walked away from his tenured position heading up the math department at Stony Brook University. And he was running his fledgling trading firm out of a nearby mall.
He wasn’t interested in earnings reports or analyst forecasts. He knew that if you did what everyone else was doing, you’d get the same returns as everyone else. He wanted to beat the market, not just track it.
So, he looked for unique signals – obscure, repeatable patterns buried in reams of market data that pointed to predictable moves.
To find them, he didn’t hire Wall Street traders. Instead, he hired mathematicians, physicists, and – notably – two IBM scientists who spent their careers building speech recognition models.
They’d been building computer models to predict the next word in a sentence based on patterns in prior text. Simons told them to apply the same logic to stocks.
Renaissance Technologies averaged 66% annual gross returns over the next four decades. This made it the most profitable hedge fund in history.
For obvious reasons, Simons wasn’t in a rush to share his secrets. So, this market-beating approach stayed locked inside a handful of elite hedge funds, widening the wealth gap instead of narrowing it.
But over our 21-year history, our mission at TradeSmith has been to put hedge-fund-level tools in the hands of regular investors. And with our latest innovation, we’re blowing that Wall Street secret wide open.
We’ve Never Gone This Deep Before
We’re a financial technology firm based in Baltimore, Maryland that develops hedge-fund-level analytical systems for self-directed investors.
More than 134,000 people in 86 countries use our software to manage more than $29 billion in assets. And we’re always innovating – testing trading strategies, financial metrics, and data patterns to uncover profitable systems and indicators.
That’s what’s gotten us featured in Forbes, The Wall Street Journal, and The Economist.
It started with our risk management software, TradeStops. It takes the emotions out of investing by showing you the ideal time to sell your stocks.
We’ve also created software that spots hidden seasonality patterns in stocks… finds undervalued options plays… and uses AI to forecast stock moves up to 21 trading days out.
But our new system goes deeper than we’ve ever gone before.
It evaluates 2.09 million potential trades a day across 2,467 stocks. It runs each one through 847 individual calculations, hunting for the same kinds of signals Simons built his career on.
When the right combination of factors aligns, our system flags it as a high-probability trade setup.
For instance, on October 30, 2020 – with markets rattled by a new COVID variant – the same system flagged a Palantir (PLTR)thumbprint with a 95% historical success rate.
It showed that every time Palantir had gone down at least three days in a row… its daily price swings were shrinking… and at least 5,000 U.S. hospitals were accepting new patients… the stock was on the verge of a jump.
The forecast called for a 5.8% gain in nine days. The backtested result was even better: 15.1% in seven days.View larger image
What do hospital numbers have to do with Palantir’s share price?
It turns out, a lot.
Palantir’s biggest clients are hospitals. With about 6,100 hospitals operating across the U.S., a drop below 5,000 open facilities would be trouble for the company’s revenue. When hospital numbers fall, Palantir’s business feels it – and so does its share price.
Our system is built to find those kinds of connections. Not the hospital figures themselves, but the imprints they leave behind in the data.
And remember, this signal fired during the pandemic. Which brings me to an important point about how it works.
Bull or Bear Market: Our System Doesn’t Care
No one knows exactly why each signal has a history of preceding a big move.
And frankly, it doesn’t matter. Our system is looking for alignments that have worked before – even when there’s no obvious reason why.
That means this new kind of trading system doesn’t care whether we’re in a bull or a bear market. It doesn’t need a strong economy or a calm geopolitical environment. It just needs certain factors to align.
One example is a signal on Walmart (WMT)that has fired 24 times over the past decade – a rare alignment of three specific conditions in the stock’s price history.
WMT has to reverse its trend one day… hit a higher high and a lower low the next day… then close down for the day. When those specific factors align, it’s gone on to post a winning trade 92% of the time.
This signal worked in the bull market of 2019 and the bear market of 2022. It even worked in 2017, after one of Walmart’s worst earnings reports in a decade.
That’s what makes it so powerful today. With oil at elevated levels… and rising stock market volatility… you don’t want to be relying on a system that only works in good times.
I’ll walk you through how it works in more detail – including the patterns it’s tracking right now and the trades it’s flagging for the weeks ahead – during our launch event.
It kicks off tomorrow, April 22, at 10 a.m. Eastern. So make sure to clear some time in your calendar and register your interest.
We’ll not only hold your spot. We’ll also give you immediate access to the new beta version of our software ahead of the event.
We’ve been working on this new trading system for the past 12 months. And since becoming CEO of TradeSmith, I’ve never been more excited about what we’re about to reveal. So, I hope to see you there.
Keith Kaplan CEO, TradeSmith
P.S. We’ve already let a small group of investors test the system ahead of the launch.
One beta user, Edward V., reported a perfect success rate on every trade he’d closed so far. Another, John M., called it a “game-changer.”
Here’s that link to register now to access the beta software before tomorrow’s launch event.Leave a Comment
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By the time a stock shows up in your news feed, in your inbox, on CNBC…
…the move is already 70 to 80 percent done.
The institutions, the hedge funds, the family offices — they were already in. Already positioned. Already waiting for you to push the price the rest of the way up so they could start quietly selling into your enthusiasm.
This isn’t a conspiracy. It’s just how the information food chain works.
At the top of that chain sit the institutions. They have access to data flows that most retail investors don’t even know exist.
On May 4th, we’re doing something we’ve never done publicly before. We’re pulling back the curtain — live, free, for 90 minutes — and showing you exactly what the other side of that wall looks like.
We’ll show you the signature “Five Data Layers.”
We’ll show you what the data has said before major moves.
Market alerts, actionable tips, and timely insights to fuel your investment success..png)
