Here’s the deal: Nike’s numbers were genuinely rough. Revenue tanked 12% to $11.1 billion, and net income got absolutely demolished—down 86% year-over-year. China sales? Down 20%. Europe down 9%. North America down 11%. This isn’t a company firing on all cylinders.

But here’s where it gets interesting. CEO Elliot Hill, who took over last October, didn’t just shuffle the deck chairs. He launched something called “Win Now”—and it’s actually working. The strategy is laser-focused: five sports (basketball, soccer, running, training, sportswear), three countries (US, UK, China), five cities (New York, LA, Beijing, London, Shanghai). No fluff. No fashion tangents. Just pure sports obsession.

The market loved it because Hill’s actually delivering. The company beat earnings estimates despite the carnage, and Wall Street responded with price target upgrades. Truist bumped their target to $85—a $12 jump. That’s not nothing.

Of course, there’s a tariff-shaped elephant in the room. Nike’s facing a $1 billion cost headwind from tariffs, which will hit gross margins by 75 basis points in fiscal 2026. The company’s already reshuffling its supply chain—cutting China production from 16% to the high single digits—and planning “surgical” price increases in the fall. It’s not elegant, but it’s realistic.

The real question: is this the time to buy? Probably not yet. Nike’s still trading at a P/E of 29, which is expensive for a turnaround story. Plus, the tariff pain is front-loaded in the first half of the year. But if Hill keeps executing on Win Now, and the company can navigate the tariff minefield without alienating customers, Nike could actually become interesting again. For now, it’s a “watch and wait” situation—unless you’re already a believer in the turnaround.

Citrini Research, the same firm that sent the stock market into a tailspin earlier this year with warnings about AI’s economic impact, just dropped a reality bomb: “Free AI is ending. Tokenomics is beginning.”

Here’s the deal: tokens are the building blocks of AI—basically chunks of text or code that large language models process constantly. Companies have been throwing money at AI adoption like it’s going out of style, pushing employees to use these tools relentlessly. The hyperscalers, venture capitalists, and sovereign wealth funds have been footing most of the bill so far. But here’s the kicker—eventually, regular companies have to start paying for their own AI habit.

And when they do? Everything changes.

Right now, the AI boom is all about centralized compute—massive data centers churning away in the cloud. But as those costs get properly priced in, Citrini sees a massive shift coming toward “edge AI.” Think of it as AI going local. Instead of sending every task to a distant data center, companies will run AI models directly on devices—your laptop, your PC, even your phone. It’s not about replacing cloud computing; it’s about having both options.

This shift matters because it opens up a whole new ecosystem of opportunities. We’re talking about AI devices running local models, the hardware needed to support them, and the software required to keep everything secure and orchestrated. Nvidia’s already betting big on this with new PC chips designed to handle local inference. They’re basically preparing for the world where your computer does more of the heavy lifting instead of constantly calling home to the cloud.

The beauty of edge AI is that it’s distributed. Instead of everything funneling through a few massive data centers, computing power gets spread across millions of devices. That’s a fundamentally different market structure than what we’ve been seeing.

For investors, this is huge. The first wave of the AI trade was all about centralized compute—the big cloud providers and chip makers. But as that becomes more “adequately priced in” (translation: the easy money’s already been made), the real asymmetry is shifting to distributed inference, the surrounding hardware, and the software orchestrating it all.

So what does this mean for your portfolio? The companies that can help businesses transition from “AI everywhere in the cloud” to “AI everywhere, including locally” are about to get very interesting. We’re talking about a new class of winners in edge computing, local inference, and the infrastructure that ties it all together.

The AI boom isn’t ending—it’s just entering a new phase. And this time, it’s going to be about efficiency, not just raw spending. That’s actually good news for investors who know where to look.

Here’s the wild part: the same deep learning technology that’s revolutionizing medicine—diagnosing cancer three years early, designing drugs in hours instead of years—is now being weaponized against the stock market. And the results are bonkers.

A 47-year quant system (think: decades of data-driven stock picking) just got supercharged with AI timing signals. The backtested results? A 615% gain turned into 3,626%. A 292% gain became 6,284%. Same stocks, same timeframe—just smarter timing.

Let’s back up. DeepMind’s AlphaFold2 mapped 200 million proteins by teaching AI to recognize patterns in massive datasets. That’s the same pattern-recognition magic now being applied to stock market data. The difference? It’s producing up to 20 times more money than the original system alone.

The story starts in the 1970s when a finance student (Louis Navellier) got access to a Wells Fargo mainframe—basically a supercomputer by 1970s standards. His job: build a portfolio that mimicked the S&P 500 using just 320 stocks. Instead, it beat the market. That wasn’t supposed to happen. Every finance textbook said it was impossible.

But the data didn’t lie. Some stocks move independently of the broader market. Find them early, and the gains are extraordinary. Over five decades, this system identified 676 stocks that doubled—including Microsoft in 1987, Apple and Nike in 1988, and Nvidia a full 17 years before ChatGPT made it a household name. That last one alone would’ve turned $1,000 into over $1 million.

Now here’s where it gets interesting. What happens when you layer AI on top of a 47-year track record? You get a system that knows what to buy (the original quant model) and when to buy it (the AI timing layer).

Take AppFolio—a stock recommended in 2017. The original system delivered 20% annualized gains. The AI-enhanced version? 74% annualized. Same stock, same period. Or Nexstar Media Group: 23% average yearly gain becomes 173%.

The pattern recognition AI is doing something the original system couldn’t: it’s catching micro-signals in market behavior that predict short-term momentum. It’s like having a crystal ball, except it’s actually just really good math.

Is this the biggest edge in 47 years of professional investing? According to the backtesting, yes. But here’s the honest take: backtests are backtests. They’re looking backward. The real test is what happens next.

That said, if AI can rewrite what’s possible in medicine—curing diseases, extending lifespans—it’s not crazy to think it might rewrite what’s possible in markets too. The 1970s skeptics were wrong about computers. Don’t bet against this one.

Bristol-Myers Squibb (BMY) just got bumped up from neutral to strong territory. That’s the kind of move that catches traders’ attention. It’s not alone either. Arrow Electronics, Bank of Montreal, and Bank of Nova Scotia all got the upgrade treatment, moving from strong to very strong. These aren’t flashy tech darlings—they’re the reliable workhorses that actually make money and pay dividends.

The real story here? Institutional money is flowing into these names. When the big players start buying, it usually means something’s working under the hood. Whether it’s better earnings, improving fundamentals, or just solid execution, these stocks are proving they’ve got what it takes.

The Losers: When Ratings Fall

Then there’s Broadcom (AVGO), which just got downgraded from very strong to strong. Ouch. That’s not a death sentence, but it’s a yellow flag. Same goes for Qualcomm, Ford, and Verizon—all got knocked down a peg. These are still solid companies, but something’s shifted. Maybe growth is slowing, maybe valuations got stretched, or maybe the fundamentals just aren’t as shiny as they looked last month.

The Deep Cuts

Here’s where it gets interesting: BioNTech and Cognizant both hit F-ratings. That’s the financial equivalent of a report card you don’t want to show your parents. These stocks went from weak to very weak, which means the data is screaming “stay away” right now.

What This Actually Means

This isn’t just a list of random ticker symbols. This is a snapshot of where institutional money thinks value lives right now. When a stock gets upgraded, it usually means the quantitative data (the numbers) and fundamental health (the business itself) are both pointing in the right direction. When it gets downgraded, the opposite is true.

The beauty of this kind of analysis? It cuts through the noise. You don’t need to be a Wall Street analyst to understand that if a company’s fundamentals are deteriorating and the quant signals are flashing red, maybe it’s time to reconsider your position.

The Bottom Line

Whether you’re holding any of these 142 stocks or not, the lesson is clear: markets are constantly repricing based on new information. The stocks that were darlings last month might be yesterday’s news today. That’s not pessimism—it’s just how markets work. Stay sharp, keep your holdings monitored, and remember that the best investors are the ones who adapt when the data changes.

In a letter dated this Monday, Einhorn wrote: “With so little downside priced in, we are willing to risk missing out on a possible recovery to position ourselves to play more offense, should one of the downside scenarios materialize.” Translation: Greenlight thinks markets are too optimistic. The context is notable – the S&P 500 has fully erased its Iran war losses even as weekend peace talks collapsed and the U.S. slapped a naval blockade on the Strait of Hormuz. Investors are banking on an eventual deal. Einhorn is hedging against a world where one doesn’t come.

His Q1 numbers give him credibility here. Greenlight returned 6.5% in a quarter when the S&P 500 fell 4.4%. That outperformance came not from bold bets but from low exposure and selective positioning. His winners included gold, Acadia Healthcare (ACHC), DHT Holdings, and Core Natural Resources – defensive, hard-asset names. He also added a long in October oil futures and opened new stakes in Versant Media, Crocs (CROX), and SLM Corp: again, specific and measured, not broadly bullish.

The takeaway for active investors: when the market is rallying on hope and one of the sharpest contrarian minds in the game is quietly building hedges, that asymmetry is worth respecting. Einhorn’s framework is simple and reusable – missing a 10% rally hurts a lot less than riding a 25% drawdown. In a market still priced for a relatively smooth landing, keeping dry powder and staying selective isn’t pessimism. It’s prudence.

Here’s the reality check. The deal would face historic antitrust scrutiny. The top four U.S. carriers – United, American, Delta, and Southwest – already control about 80% of domestic capacity. A United-American combination would give the merged entity roughly 40% of domestic market share on its own. Cornell law professor George Hay was blunt: “This would be the biggest of all time. I can’t even see the slightest chance that a court would allow it.” Seaport Research Partners analyst Daniel McKenzie called the stock move “short covering rather than the market assigning legitimacy to the merger idea,” adding the deal would be “dead on arrival.”

The antitrust math is ugly: analysts at TD Cowen identified 289 routes where the two carriers overlap – each one a required divestiture. Translation: even if DOJ waved it through, the combined airline would have to carve itself up in ways that gut much of the deal’s economic logic. The Biden administration successfully blocked two major airline tie-ups. This would be a far bigger fight.

That said, the Trump White House has been notably merger-friendly. Transportation Secretary Sean Duffy said last week there “is room for some mergers in aviation” and that Trump “loves to see big deals happen.” Political winds are unusually favorable, even if the legal math isn’t. For traders, the real play isn’t betting on the merger itself – it’s recognizing that consolidation speculation lifts the sector broadly, and American was already the most undervalued of the Big Four before this news hit. The deal probably dies. But AAL’s 9% pop might be the start of a longer re-rating. Watch how the stock holds in the days ahead.

Here’s the setup. Every major theme remaking the global economy – AI infrastructure, data centers, electric vehicles, electrification, decarbonization – runs straight through copper. A single hyperscale AI data center can consume up to 50,000 tons of the stuff. Industry estimates suggest data centers alone will need hundreds of thousands of tonnes per year by 2030. Meanwhile, the International Copper Study Group projects the refined-copper market will flip into a deficit of roughly 150,000 tonnes this year as mine production slows and concentrate supply tightens.

The supply math is brutal. Analysts estimate the world needs more than $200 billion in new mining investment to close the coming gap – but total copper-mining investment over the past six years has been only about $76 billion. That’s not a short-term supply hiccup. That’s a decade-long structural imbalance baked into the ground.

Now layer in the Iran conflict. With the Strait of Hormuz under a U.S. naval blockade and peace talks collapsed, inflationary pressures are intensifying across commodities. Oil above $100 keeps the Fed frozen with rates on hold through at least late 2027, per CME FedWatch. That’s a macro environment where commodity plays with real supply constraints historically outperform. Copper hits both marks: surging demand from the digital and energy transition, and supply that simply can’t keep up.

The contrarian angle? Copper is still flying under the radar while traders pile into energy names and defense stocks. But the options market is waking up – call-side flow in copper-related equities has been building for months. If a geopolitical resolution does materialize and oil cools, copper still wins. The AI and electrification demand story doesn’t care who controls the Strait of Hormuz. That’s the kind of asymmetric setup traders should be paying attention to.

Key market context: The Biggest Mistake AI Investors Could Make This Summer | InvestorPlace Download the free report here: Search symbol, company name, or keywords Meet Jonathan Rose The Biggest Mistake AI Investors Could Make This Summer AI stocks may finish the year 30%-40% higher, but getting there is going to be bumpy Louis Navellier and the InvestorPlace Research. These developments reflect shifting investor sentiment, economic data releases, and sector-specific catalysts that could influence your portfolio positioning and allocation strategies across equities and related assets.

What this means for investors: Pay close attention to how this trend unfolds. Smart investors use market developments like this to rebalance portfolios, identify undervalued opportunities, and adjust risk exposure. The key is staying informed and acting decisively based on reliable market intelligence and your investment objectives.

Key market context: Is Broadcom the First Crack in the AI Bull Market? | InvestorPlace Download the free report here: Search symbol, company name, or keywords Is Broadcom the First Crack in the AI Bull Market? One tech giant. One brokerage. One infrastructure empire. All saying the same thing about AI right now. Jeff Remsburg, Editor, Investing Insider Jun 4, 2026, 5:. These developments reflect shifting investor sentiment, economic data releases, and sector-specific catalysts that could influence your portfolio positioning and allocation strategies across equities and related assets.

What this means for investors: Pay close attention to how this trend unfolds. Smart investors use market developments like this to rebalance portfolios, identify undervalued opportunities, and adjust risk exposure. The key is staying informed and acting decisively based on reliable market intelligence and your investment objectives.

Key market context: The SpaceX IPO Just Hit the Reality Wall (Plus, the Trades Behind It) | InvestorPlace Download the free report here: Search symbol, company name, or keywords The SpaceX IPO Just Hit the Reality Wall (Plus, the Trades Behind It) The $2 trillion hype trade ran into a valuation gut-check. Here’s how to tell a breakthrough from a bust. Luke Lango and t. These developments reflect shifting investor sentiment, economic data releases, and sector-specific catalysts that could influence your portfolio positioning and allocation strategies across equities and related assets.

What this means for investors: Pay close attention to how this trend unfolds. Smart investors use market developments like this to rebalance portfolios, identify undervalued opportunities, and adjust risk exposure. The key is staying informed and acting decisively based on reliable market intelligence and your investment objectives.