Good evening, and welcome to this week’s edition of Stealth Trades!
I have made clear my bullish stance on copper for all of 2026. And my thesis has not changed.
Supply is shrinking. Demand is growing. And the price will almost certainly go up.
Today, in this weekly update, I want to share the proof. Here are ten charts and graphics that illustrate the coming copper crisis.
This one is pretty self-explanatory. Supply cannot keep up with demand and that gap is expected to widen significantly over the next decade.
One of the counter arguments to this claim is that data centers buildouts could take longer than expected, and that new technology like photonics will lower copper demand.
But as you can see, data centers are just a small fraction of that demand.
Here’s a chart you’ve probably never seen before. It is the copper-to-Nasdaq ratio.
Copper futures may be at all-time highs. But on a relative basis, it trades at its lowest level to stocks in decades.
In addition, inventories are shrinking.
The “backwardation” is when front month futures contracts trade at a premium to contracts with a delivery date several months into the future. That is what is happening now, and it is the opposite of what we usually see.
Then there’s the often quoted “30-year commodity cycle.”
Personally, I’m not a big believer in these mythical multi-decade cycles. Technology is advancing at 10,000X the rate it was a century ago. These cycles should speed up. So, take that one with a grain of salt.
This one, on the other hand, is hard to ignore.
Discoveries of new copper deposits are marginal at best. And look how much we need to find.
Globally, we need roughly 700 metric tons of copper over the next 25 years. That’s equal to all the copper ever mined in the history of human civilization.
Then there are the charts.
The Global X Copper Miners ETF – ticker COPX, is setting up in a classic breakout pattern on the weekly chart.
Copper futures are showing a similar pattern.
And, if history repeats, we could be looking at $25 per pound by 2030.
This is my case for copper and why I believe it offers one of the most asymmetrical opportunities in the commodities sector.
Good evening, and welcome to this week’s edition of Stealth Trades!
The new Fed Chairman just blamed the Federal Reserve for the inflation of the last five and a half years.
Not supply chains. Not the pandemic. Not Congress.
The Fed.
Kevin Warsh gave his first Jackson Hole keynote as Chairman on Friday, and buried in the middle of it was a sentence no sitting Fed chief has ever said out loud:
“There is one signal nobody can miss: The responsibility for 65 months of sustained, elevated inflation sits squarely with the central bank. And that is where it belongs.”
He took the blame for all of it. And I don’t think he would start his term that way unless you intend to be the guy who ends it.
Here is why that matters for your money.
The market has spent this entire year pricing in rate cuts. As of Friday, the odds of a cut at the September meeting are under 2%. The odds of a rate hike moved from 35% to 46% in the hour after he spoke.
And the inflation numbers are even worse than the headlines
12-month PCE increase: 3.7%.
6-month PCE increase: 4.1%.
Inflation is NOT cooling off. It is reaccelerating.
Warsh took it even further. He broke the PCE basket into its 199 individual components and counted how many are rising faster than 3% a year.
The answer is 54%.
Before the pandemic, that number averaged 32%.
For four years, every hot inflation print got explained away. It’s used cars. It’s eggs. It’s shipping containers. It’s one weird category dragging up the average.
That excuse is dead. When more than half of everything you buy is running above 3%, it is not eggs.
Policy is not tight, and he said so clearly.
This is the part that should reset your expectations.
Warsh said he would be hard pressed to describe broad financial conditions as restrictive.
He even brought receipts…
Business capital spending is up around 9% over the past four quarters, the fastest since 2021.
S&P 500 corporate profits are up more than 20% in a year.
Corporate credit spreads sit near the low end of their historical range with heavy issuance.
Banks even told the Fed in July that lending standards for commercial and industrial loans are on the EASY end of their range.
Even equity volatility is low.
Here is the simplest way to see it. The effective fed funds rate is 3.63%. Inflation is 3.7%.
After inflation, the Fed is charging nothing. Wall Street banks have been getting free money.
The “restrictive” policy they like to complain about is anything but.
So, the business environment is strong. Unemployment claims are low. But inflation is still too high. And that is his top priority.
Gee… I wonder what he will do?
He couldn’t have made it any clearer. He is not going to cut rates. He’s going to raise them. And he will keep raising them until we finally see, for the first time in six years, sub-2% annual inflation.
Fed chairmen tend to sort of pick a team. Either they are focused on the stock market and keeping the business environment competitive, or they are focused on everyday citizens and prioritize keeping prices stable.
They have a mandate to do both. But that is easier said than done. At some point, they have to make a decision. And Warsh just told you which way he will go when pressed.
The next Fed meeting is September 16th.
Warsh revealed his standard in this morning’s speech. He said he must be confident inflation is moving to target clearly, and at sufficient speed. Otherwise, in his words, they have work to do.
“Work to do” does not mean cutting. It does not mean looser financial conditions. It means tighter ones.
Warsh has no plans to use unconventional policy tools. He made clear they should be used sparingly, if at all.
He will not be riding to the rescue the first time the stock market has a bad month.
The rescue window is closing. And the stock market will not be propped up by artificially low rates.
Good evening, and welcome to this week’s edition of Stealth Trades!
There is a structural shortage in the copper market driving prices higher. And all signs point to the situation getting worse, not better.
Translation?
The price of copper keeps going up.
Right now, there are about 200,000 tonnes of copper left in the London Metal Exchange warehouse system. That’s the pile the entire world outside of China and America borrows from when it runs short.
Roughly half of that is already spoken for.
Inventories there have fallen for 42 straight trading days. The longest drawdown streak since 2014.
On top of that, the Congo just banned exports of copper concentrate.
And the United States pulled in more than 200,000 tonnes of refined copper in the month of July alone — the biggest month in twelve years.
Right now, copper prices are near all-time highs – setting up in a textbook breakout pattern about to explode even higher. More on that in a minute.
The supply/demand imbalance in the copper market is huge. Every legitimate forecast shows global supply falling short of the rising demand coming from data centers and grid expansions.
Global mine production fell 1.6% over the first five months of this year. Not grew slower. FELL.
And the International Copper Study Group thinks refined production grows a whopping four tenths of one percent for the full year.
And unlike most shortages, the problem cannot be fixed with money. It takes 10-15 years to get a new copper mine up to production. And today’s copper ore is a fraction of the purity we mined 50 years ago.
Add it all up, and you get a market with more buyers than sellers. And when that happens, the result is always the same.
The chart tells the story…
This is what I call a “base-on-base” formation. After a strong run up in late 2025, copper formed a 4-month consolidation pattern before making new all-time highs.
But the summer was brutal for tech stocks. A lot of the big AI names retraced or went nowhere. With proposed data centers being the key contributor to new supply, that same choppy action carried over to copper.
But the smart money kept buying. And it formed another textbook shallowing base.
Nothing is guaranteed. But these base-on-base patterns can deliver outsized moves higher since the available supply has contracted even further.
On Tuesday, I started buying – right there at that arrow when copper pulled back to its 50-day moving average and the lower edge of its trendline.
If the structure holds, this will likely be the last dip before the next surge higher.
I bought futures contracts, but if you want exposure there are other ways to get it.
The simplest is CPER – the United States Copper Index Fund. It is an exchange traded fund that trades just like a stock and can be purchased in any account.
Those who prefer miners should look at the Global X Copper Miners ETF, ticker COPX.
It holds a basket of copper mining stocks and just broke out to new multi-month highs.
Good evening, and welcome to this week’s edition of Stealth Trades!
Every market crash leaves the same fingerprints.
Before the 2000 top and before the 2007 top, the same warning signs showed up. These are specific, dated, measurable events.
There are a total of 14 bear market signals.
Thirteen of them have already triggered. The last one has not.
This does not mean we are days or weeks away from a crash. The first 13 signals arrived by January in 1999, and the Nasdaq went on to double that year before eventually crashing.
So, don’t let this scare you. But I would rather you be aware of where we stand than caught off guard.
The first four signals are the easiest to spot:
#1 – Record debt issuance in the hot sector.
Telecom companies issued over five hundred billion dollars of bonds between 1996 and 2001. That was the fuel.
Morgan Stanley puts AI-related debt issuance at roughly five hundred seventy billion dollars this year. Bonds from the hyperscalers hit two hundred twenty-five billion by mid-year — up nearly a thousand percent from last year.
Check.
#2 – The debt moves off the balance sheet.
In 2006, Wall Street issued about $521 billion dollars of CDOs — the vehicles that hid mortgage risk where you couldn’t see it.
Moody’s now counts $1.2 trillion dollars of off-balance-sheet AI commitments. Microsoft alone disclosed $329 billion dollars of leases that haven’t even started yet. That number was $93 billion a year earlier.
And starting next fiscal year, Microsoft extends the assumed useful life of its data centers from fifteen years to twenty-five. It’s a trick to shrink depreciation and create the illusion that profits are higher than they are.
Check.
#3 – Sellers start financing buyers.
In the last 90’s, Lucent lent $8 billion to its own customers so they could buy Lucent equipment — then booked those loans as revenue. Nortel did the same.
By 2000, McKinsey $25.6 billion of this across 9 equipment makers.
Today Nvidia holds $30 billion of equity in OpenAI, $10 billion committed to Anthropic, and a signed agreement to buy CoreWeave’s unsold capacity through 2032.
Checked.
#4 – Capital spending outruns cash flow.
In the 2001 telecom cycle, capital spending outran revenue growth by about 32%. Everyone swore the demand was coming.
Today, AI capex is outrunning AI revenue by 46%. Wider than the telecom bust — and that number comes from CreditSights.
And Oracle spent $55 billion on capex last fiscal year against -$23 billion of free cash flow.
Check.
The next 4 markers come from the crowd – retail investors like you and I who act predictably at euphoric peaks.
#5 – Record margin debt.
Margin debt is money investors borrow against their own portfolios to buy more stock. It peaked six months before the 2000 top and four months before the 2007 top.
Today: $1.53 trillion; up 51.5% in a year.
That growth rate has appeared exactly three times before. 2000. 2007. 2021.
Check.
$6 – Record IPO volume.
1999 produced roughly 480 internet IPOs with an average first-day pop of seventy-one percent.
American companies raised $251 billion of equity in the first half of this year – an all-time record.
IPOs alone were $148 billion. That matches the entire record year of 2021 — in six months. And SpaceX by itself raised $86 billion, the largest IPO in history.
In 1999, the mania was the speculation and wild moves. Today, it’s the size.
Check.
#7 – Retail investors pile into leverage.
1.2 trillion dollars went into US-listed ETFs this year — double last year’s pace. Semiconductors are the number one sector.
And there are now leveraged chip funds — products designed to deliver two or three times the daily move of an already violent sector — pulling in record money. They even had them for SpaceX the week it went public.
Check.
#8 – Insiders sell and nobody buys.
Angelo Mozilo sold 139 million dollars of Countrywide stock in 2006 and 2007 while defending the loan book on television.
Over the last twelve months, insiders at Nvidia, Palantir, Alphabet and Meta sold 3.4 billion dollars of stock.
Insider purchases over that same stretch? Zero. Not one share.
Check.
There are also two “symbolic signals.”
#9 – The Super Bowl.
In the 2000 Super Bowl, 17 dot-com companies bought Super Bowl ads at $2.2million apiece. By the next year’s game, only 3 of those 17 companies still existed.
We saw it again four years ago – February 2022. They nicknamed it the Crypto Bowl. FTX, Coinbase, Crypto dot com and eToro spent $44 million dollars in a single afternoon. Larry David for FTX. LeBron James for Crypto dot com.
FTX filed for bankruptcy nine months later. The founder went to prison.
Coinbase stock finished 2022 down 86%.
Crypto dot com cut 20% of its workforce that June. Then they did it again in January.
And at the next Super Bowl? Zero crypto ads. The deals all fell apart.
February 8th of this year, 23% of the Super Bowl was AI companies. 15 ads out of 66. OpenAI. Google. Amazon. Meta. Anthropic.
To be clear, none of this tells you the day of the top. Especially in this market.
But it tells us we’re in the neighborhood.
Also… check.
#10 – The picks-and-shovels supplier becomes the most valuable company on earth.
Cisco sold the routers that built the internet. On March 27th, 2000, Cisco passed Microsoft to become the most valuable company in the world.
Seventeen days after the Nasdaq peaked.
On May 13th of this year, Nvidia became the first company in history worth $5.5 trillion dollars. The high of the Nasdaq, as of today, was three weeks later on June 3rd.
Check.
#11 – The regulators start writing memos.
The Bank for International Settlements in March. The Federal Reserve in May. The Bank of England in July. And Moody’s on July 24th, warning that “unprecedented” AI spending threatens the credit quality of Amazon, Meta and Alphabet.
The BIS has its own word for how this is being financed – shadow borrowing. Roughly 15% of the entire private direct-lending market — a market north of a trillion dollars — is now lending into AI and tech. Four years ago, that was basically nothing.
In July, the Bank of England published a chart of how expensive American stocks are relative to bonds, and wrote that it has moved toward “levels not seen since the dot-com bubble.”
And that’s coming from a central bank.
Check
The final three markets come from the credit market. These, in my opinion, are the ones that actually matter.
#12 – Credit in the hot sector turns while everything else stays calm.
The ABX index tracked subprime mortgage bonds. On January 19th, 2007, the BBB-minus slice traded at 97 and a half. By February 27th it was at 62.
Down 36% in five weeks.
Today, Oracle’s five-year credit default swaps went from 145 basis points in January to over 215 in July. It’s an all-time record — above where they traded in the 2008 financial crisis. CoreWeave’s are north of 800.
Check.
#13 – The funding market starts choking.
In June of 2007, Merrill Lynch seized 850 million dollars of AAA-rated collateral from a Bear Stearns hedge fund — and couldn’t find a buyer for it. That was the market discovering, in public, that the paper had no price.
Today, coverage on hyperscaler bond deals — how many buyers show up per dollar offered — fell from about five times in February to under two times in July.
And CoreWeave’s term loan repriced 125 basis points wider, with lenders forcing back maintenance covenants that have been absent from leveraged loans for over a decade.
Check.
And finally, the one that has not yet fired.
#14 – Lenders get scared.
When you loan money to the US government, you get paid a little bit of interest. When you loan money to a risky company that might not pay you back, you demand more.
That difference is what matters.
When lenders are relaxed, that gap is small. When lenders get scared, they demand more, and the gap gets wide.
Right now, that gap is 2.7 percentage points.
America’s riskiest companies are borrowing at less than three points above the US government.
That is near the smallest that gap has ever been. Smaller than it was in 2021. Lenders are charging almost nothing to take real risk.
That gap has a name, by the way. On Wall Street they call it the ‘high yield spread.’ And it is the single most reliable warning light of a pending crash.
In 2007 it sat at 2.3 percent in the spring. By August it was at 4 percent. Four months before the S&P’s peak.
Back in 2000, that gap started widening in the spring. Once the gap exceeded 3.5 percent, it never came back. By November of that year, the Bank of England noted junk borrowing costs had reached the levels of the early 1990s recession.
Credit was pricing a recession. Stocks were pricing perfection.
Credit was right.
Here’s the picture today…
Oracle’s default insurance is at a record above 2008. Lenders are demanding covenants they haven’t asked for in a decade. CoreWeave is borrowing at 15% interest. And broad corporate credit is priced like nothing is wrong at all.
It sounds like a contradiction. And it is. That’s the whole point. This is exactly what early 2007 looked like before peaking later that year.
So, this one is still unchecked. But it’s the one to watch.
Open up TradingView and chart the following ticker symbol: BAMLH0A0HYM2.
That is the symbol for the High Yield Index Spread. Today it sits at 2.71. When it hits 3.5, things are getting ugly. And if it stays there, elevated, above 3.5% for more than a month? Get out.
There’s a pattern that has repeated with every great technology for 150 years.
Every time this country builds something enormous, the same thing happens. Every single time. And it has never once — not one time in a hundred and fifty years — worked out the way the investors expected.
There is always a shift – from the companies building the technology to the ones using it – that destroys investors in the first group of stocks and delivers life-changing returns for those in the latter.
The same shift will happen with AI stocks – not if, only when. The question is, is it happening right now? Because there is over 150 years of precedent for how the final stage of AI is going to play out.
Start with the railroads. The most important thing America built in the 19th century. Thirty-five thousand miles of new track laid between 1866 and 1873. It worked. It connected a continent.
And by 1877, twenty percent of American railroad track mileage was in receivership. A fifth of the network — bankrupt. Forty percent of all railroad bonds were in default.
Railroad stocks lost sixty percent of their value. When Jay Cooke and Company went under in September of 1873, the New York Stock Exchange closed its doors for ten days for the first time in its history.
Now jump to the internet; fiber optics. In the five years after 1996, telecom companies poured more than 500 billion dollars into cable.
By the early 2000s, less than 2 percent of it was being used.
Global Crossing raised about 20 billion dollars, laid a hundred thousand miles of undersea fiber, and filed for bankruptcy in January of 2002. Its assets sold for pennies on the dollar of what it cost to build.
So who got rich off all that fiber? Google. Amazon. Netflix. Companies that never laid a single mile of it.
They built their empires on bandwidth that was practically free — because somebody else had already gone broke providing it.
The same is true of the airlines. The airplane might be the most transformative machine of the 20th century. Warren Buffett said that as of 1992, all the money made by every airline company in this country since the dawn of aviation added up to zero. Absolutely zero. Between 2000 and 2008 they lost another sixty billion. And this year the industry’s own forecast has it earning about 6.8% on capital that costs them 8.2% — which means it is still, right now, in 2026, losing money for the people who fund it.
Look, here’s the thing…
The technology always works. That’s not the question. The question is who gets paid for it. And the answer is almost never the people who built it. It’s the people who use it.
The only question is: When will the shift happen?
Last month’s blow up of the Situational Awareness hedge fund happened for 2 reasons:
Aschenbrenner used 4:1 leverage on the long side
AI infrastructure stocks cratered while software ripped higher
He was long infrastructure – Coreweave, Nebius, Micron, etc. All of those stocks fell 30-50% in a month.
At the same time, he was short software – Workday, Microsoft, Adobe, Salesforce. Those stocks all went up.
Throw in some leverage, and that’s how to turn $45 billion into $10 billion in a month.
Painful lesson.
But it showed a shift in the AI theme. The market didn’t crash; money just walked out of one end of the AI trade and into the other.
Many investors assume that those who build the new technology will see the greatest investment yield. But there is no relationship between those two things. There never has been.
Amazon spent about 131 billion dollars on capital expenditure in 2025 — roughly 95 cents of every dollar the whole business generated in operating cash, poured straight into the ground. This year they’re guiding to $220 billion.
Oracle’s free cash flow went negative, and its long-term debt nearly doubled.
And CoreWeave — one of Leopold’s biggest positions — is carrying term loans at 11-15% interest. All so the business can steadily burn cash.
Valuations have gotten, uhhh… optimistic. And they won’t be justified forever. Many of the big winners of the last three years are nearing long term peaks.
The AI infrastructure trade that has been powering this market for the last four years is likely to shift in the next 12 months.
It happened to railroads in a decade. Fiber took about five. We are currently 4 years into the AI buildout which, to me, feels like the 8th inning.
I’m not saying the stock market is going to crash. But I do expect to see rotation. Money will shift from stocks building a commodity (compute) that will only become cheaper every year, to the companies using the commodity to build an empire.
And there is a simple test to determine which you have. Ask yourself this:
When compute becomes meaningfully cheaper, will it help this company or hurt it?
Good evening, and welcome to this week’s edition of Stealth Trades!
The markets remain quiet and continue to bounce around in the same 5% range they have been all summer.
This is normal. In fact, it is necessary.
After the big rally we saw in April and May, stocks need a chance to digest the move.
This is what sets up the next leg higher.
But it is also boring.
So, instead of wasting your time with a deep dive and how things look “fine” I decided instead to feature a recent IPO setting up in a clean pre-breakout pattern.
The company is Beta Technologies, ticker BETA. The company makes electric aircraft that can take off vertically, along with several other sci-fi looking pieces of equipment.
BETA went public on November 5th and, like most IPOs, quickly fell by more than half.
This happens most of the time. Stocks hit the market at ludicrous valuations, price discovery takes them down, until eventually shares reach a fair value and investors start buying – classic stage analysis.
Take a look at the chart:
BETA spent the last five months quietly consolidating near its lows. Dips are shallowing, the moving averages are turning up, and there is clear resistance around $20 a share.
Fundamentally, there’s not much there yet. Revenue is minimal and profits are non-existent. So, it is still a “story stock” priced on assumptions of future success.
But given the situation in Iran, the likelihood this thing drags on longer than expected, and the administration’s goal of increasing America’s military budget by 50%, the defense sector is not one to sleep on.
If BETA breaks out above $20/share, it would make a compelling buy for me.
Good evening, and welcome to this week’s edition of Stealth Trades!
Three weeks ago, I told you I was watching the sectors closely to see where money rotated next.
I think I found it.
If you have been with me through this AI bull market, you know the pattern by now. The money never sits still. It rotates from one theme to the next, always hunting the next bottleneck in the global AI build-out.
First, it was the semiconductors – Nvidia, AMD, Broadcom.
Then nuclear and power. Remember the runs in OKLO and SMR?
Then came the infrastructure names – data centers, cooling, power equipment.
And most recently, memory and storage – Micron, Sandisk, and Seagate going vertical, some up 1,000%+.
Every rotation followed the same logic. The market finds the next choke point in the AI expansion, capital floods in, and the stocks go parabolic before most investors even know the theme exists.
So where does the money go next?
I believe the answer is robotics. This is the next logical layer – “physical AI.”
Here’s the simple version of the thesis…
Until now, AI has been trapped in the digital world. It writes emails. It writes code. It builds spreadsheets and slide decks. Impressive stuff – but it all happens behind a screen.
That is changing right now. AI is getting a body. And the money is starting to move.
THE CATALYSTS ARE STACKING UP
Look at what has happened in just the last six weeks:
June 24 – Agility Robotics, the company whose Digit humanoid is already working in real warehouses, announced it is going public through a $2.5 billion SPAC merger with Churchill Capital Corp XI (ticker CCXI, becoming AGLT). It will be the first pure-play humanoid robot company on a US exchange.
July 3 – Chinese regulators approved Unitree Robotics’ $618 million IPO in Shanghai. Unitree reportedly did about $235 million in 2025 revenue – up 335% year-over-year – with gross margins near 60%. And unlike most of this space, it is already profitable. Humanoids are now over half its revenue.
Tesla – The last Model S rolled off the Fremont line in May. That line is being converted to build the Optimus V3 humanoid, with production slated to begin in the next few weeks. Musk’s stated ambition is an eventual 1 million units per year.
Figure AI – The startup raised over $1 billion at a $39 billion valuation to build humanoids for commercial labor. That’s a bigger valuation than many S&P 500 companies.
Amazon – Now has over 1 million robots working in its warehouses. Robots are on pace to outnumber human workers in its fulfillment centers.
Nvidia – Jensen Huang opened the year at CES declaring that the “ChatGPT moment for physical AI” is coming. Nvidia is pouring resources into its Isaac GR00T robot brains and Jetson Thor robot computers and has called robotics a $40 trillion opportunity.
Morgan Stanley projects humanoid robots will become a $5 trillion annual market by 2050, with 1 billion units deployed.
Now, I take 25-year forecasts with a big grain of salt. Nobody can model 2050.
But even if they are off by 80%, that is still a trillion-dollar market being built from almost nothing today.
THE SMART MONEY IS ALREADY MOVING
Here is the part most investors have missed. While everyone was staring at the memory stocks, the robot supply chain quietly started going vertical.
Vishay Precision Group (VPG), which makes the strain gauges and force sensors that let a robot feel pressure in its joints, ran 269%.
Teradyne (TER) – the parent company of Universal Robots that tests the AI chips going into robots is up 139% this year.
Ouster (OUST) has more than doubled as investors scramble for exposure to their digital lidar – the eyes of the machines.
Nvidia, on the other hand, has gone nowhere – up less than 5% on the year.
And this is typical of what we see early in a rotation. The picks-and-shovels names move first, quietly, while the headlines are still focused on the last theme. It is the same pattern we saw in memory a year ago.
FOLLOW THE BOTTLENECK
Regular readers know my favorite question in this AI cycle: where is the next bottleneck?
For robotics, the answer is the hardware itself.
Actuators – the motorized joints that make a robot move – are 40-60% of the cost of a humanoid. The precision gears inside them come from a tiny handful of suppliers, mostly in Japan. The high-torque motors require rare-earth magnets. Even precision ball bearings, which I’m learning is a fairly niche market, are expected to see explosive demand growth.
This is an area I will be focusing heavily on in the third quarter. And I will keep you updated on what I find.
Good evening, and welcome to this week’s edition of Stealth Trades!
This is one of the strongest bull markets I have ever seen. Nothing has been able to slow it down. Rising bond yields, lost hope of rate cuts, surging energy prices, even a war in the Middle East. Stocks continue to march higher.
This is especially impressive given some of the drops in large-cap tech. Several of the largest stocks in the indexes are already in bear market territory.
We’re talking about multi-hundred-billion and trillion-dollar companies in serious decline. Here is where some of the big tech names stand today from their highs:
Coinbase (COIN): -69%
Oracle (ORCL): -57%
Salesforce (CRM): -57%
ServiceNow (NOW): -56%
Netflix (NFLX): -48%
Palantir (PLTR): -48%
Microsoft (MSFT): -37%
Meta (META): -32%
Arm Holdings (ARM): -27%
Broadcom (AVGO): -26%
Marvell Technology (MRVL): -20%
Nvidia (NVDA): -19%
Amazon (AMZN): -19%
Alphabet (GOOGL): -17%
Yet, despite this, we see nothing but strength.
The Nasdaq Composite continues to see more stocks making new highs than lows every day.
The percentage of stocks above their long-term 200-day moving average, which is a measure of market participation, continues to improve.
As of this morning, over 62% of stocks are above it.
The advance decline line – another indicator of overall market breadth – is also making new highs.
When the advance decline line runs ahead of the index, this is typically a sign of strength beneath the surface. Historically, it has signaled a continuation of the bull market trend.
The opposite was true in late 2021. The indexes were advancing while the advance decline line was flat. This signaled weakness. It was a warning to the pending bear market in 2022.
I don’t have a crystal ball. But every underlying metric I track points to higher prices in the second half of 2026.
I’m not saying it is justified. Stocks are, without question, trading at lofty valuations. But they were inflated in 1999 too, and the Nasdaq went on to double again before the 2000 correction.
The indexes made no progress in June. It has been a choppy month, trading back and forth in a 3% range from the highs.
But this is normal. In fact, it’s healthy. Stocks need to take a breath. They need to digest the last move, consolidate, and prepare for the next.
I’m glad a lot of the mega caps are down 20-50%. This will set up the next runs.
If I had to guess, this is what I think the market will do over the next few months.
I believe we will start July strong, absorb a little bit of supply near the highs, then press into new high ground late-July or early August. That would fit the pattern we have seen over the last couple years.
Anything could happen. President Trump could escalate things with Iran, start a new war, or something else out of left field. But if the worst is behind us, this is what I expect to see.
I am closely watching the sectors to see where money is rotating next. Semiconductor stocks are extended. The memory stocks that are up 1,000%+ may soon run out of steam. But the next big move is no doubt setting up. And I think there is a lot more money to be made in the market this year.
Good evening, and welcome to this week’s edition of Stealth Trades!
One of the most reliable signals you will find is insider buying in a stock.
The logic is simple…
Insiders know everything about their company. They know the sales and earnings before they’re reported publicly. They know about mergers and buyouts long before the whispers start. They know the results of their drug trials weeks before the press conference.
So, if they are buying their stock – while privy to such private, market moving information – it may be a sign that good news is coming.
I have run a paid service since 2017 called the Insider Effect. It has significantly outperformed the stock market for nearly a decade. And all we do is look for signs of clear, opportunistic insider buying activity.
Are they all winners? No.
But it is rare to see a big loser. If a company were about to report terrible sales, a failed drug trial, or some other disastrous corporate event, do you really think the top executives would be buying their stock? At current market prices?
Absolutely not.
Now, I almost never share my top insider picks for free. Afterall, we have winners who spent thousands to get that research.
But this morning I shared one on YouTube. And I wanted to be sure you saw it as well.
Members got this information weeks ago. And to my loyal Insider Effect subscribers, don’t worry – this will not be routine.
But I want everyone to see the information that is available to them.
Below is the official buy alert sent to members on June 4. The stock, AUPH, still trades within a few percent of where it was at that time.
Aurinia Pharmaceuticals Inc. (AUPH)
Aurinia Pharmaceuticals Inc. (AUPH) is a commercial-stage biotech focused on autoimmune kidney disease and related autoimmune conditions.
Its main drug is LUPKYNIS, the first FDA-approved oral therapy for adults with active lupus nephritis – a serious complication of lupus where the immune system attacks the kidneys.
As is common in biotech, most insider activity tends to be selling (due to heavy stock-based compensation as a result of company cashflow constraints).
But Aurinia has caught the attention of one insider – Kevin Tang – who has been moving in the opposite direction.
Tang is no ordinary biotech insider.
He is the founder of Tang Capital Management, a life-sciences investment firm with a long history of investing in, controlling, acquiring, and restructuring biotech companies. Over the years, Tang has helped build or back companies including Ardea Biosciences, La Jolla Pharmaceutical, Odonate Therapeutics, Heron Therapeutics, and Concentra Biosciences.
His playbook is to look for biotech assets the market is undervaluing – then build influence, push for leaner operations, and drive some kind of strategic transaction.
That is exactly what appears to be happening at Aurinia.
Over the past few years, Tang has been accumulating AUPH shares. Then in early 2026, after another large open-market purchase in March, he amassed enough influence to take over as CEO and reshape the company around his own team.
Tang replaced the prior CEO, helped overhaul the board, reduced the number of directors from nine to six, and installed a much leaner compensation structure. He also elected to receive no salary, bonus, equity awards, or other compensation from Aurinia.
That is a very different setup from the old regime.
Then, almost immediately, he used Aurinia to acquire Kezar Life Sciences – a biotech he had apparently been eyeing for some time through another Tang-linked vehicle.
So this is not just an insider buying stock.
This is an activist biotech investor taking control of the company, cutting costs, reshaping leadership, and using Aurinia as a platform to consolidate autoimmune assets.
And he is still buying.
Earlier this week, on June 2, Tang bought another roughly $12.5 million worth of AUPH shares on the open market – bumping his stake in the company up to 10%.
At the same time, he also sold 10,000 put options, creating a potential obligation to acquire up to 1,000,000 additional common shares at $15 per share if exercised by January 15, 2027.
That is a clear statement of conviction.
Tang is not just adding shares – he is effectively underwriting more potential exposure around the same price level.
So what could be underlying his conviction in AUPH?
The first piece is LUPKYNIS.
In 2025, LUPKYNIS generated $271.3 million of net product sales, up 25.5% from the prior year. In Q1 2026, it generated $73.6 million of net product sales, helping Aurinia produce $77.7 million of total revenue, $34.4 million of net income, and $32.6 million of operating cash flow. Management is guiding for $305 million to $315 million of LUPKYNIS sales in 2026.
So the base business is still growing.
That alone gives Aurinia a much stronger foundation than a typical clinical-stage biotech. The company ended Q1 with nearly $379 million of cash, cash equivalents, restricted cash, and investments. It also repurchased 12.2 million shares in 2025 and another 2.5 million shares in Q1 2026.
In other words, Aurinia already has a cash-generating commercial drug, a large cash balance, and a management team now focused hard on capital allocation.
The second piece is market potential.
Aurinia says more than 200,000 people in the U.S. have systemic lupus erythematosus, and roughly 20% to 60% of them develop lupus nephritis. That implies a large U.S. lupus nephritis patient pool before even counting international markets handled through partner Otsuka.
And LUPKYNIS still appears to have runway.
The drug has not plateaued five years into launch. It continues to grow. And updated lupus nephritis treatment guidelines increasingly support early aggressive therapy, including approaches that can include a calcineurin inhibitor – exactly where LUPKYNIS fits.
The third piece is Aritinercept.
Aritinercept is Aurinia’s next autoimmune asset. It targets both BAFF and APRIL, two pathways involved in B-cell-driven autoimmune disease. The company believes that dual blockade could give it broader immune control than drugs targeting only one pathway.
Aurinia has already completed a Phase 1 single ascending dose study, where the drug was well tolerated and showed durable immunoglobulin reductions that support the possibility of once-monthly dosing.
More importantly, Aurinia has now said Aritinercept is in clinical development for three potential autoimmune indications.
That gives the company multiple chances to expand beyond lupus nephritis.
The fourth piece is Kezar.
In March, Aurinia agreed to acquire Kezar for $6.955 per share in cash plus a contingent value right. The key asset is Zetomipzomib, a first-in-class immunoproteasome inhibitor being developed for autoimmune hepatitis, lupus nephritis, and systemic lupus erythematosus.
Kezar had already reported encouraging Phase 2 autoimmune hepatitis data and had a constructive FDA Type C interaction.
This acquisition gives Aurinia another shot on goal in autoimmune disease – and it fits Tang’s broader pattern. He appears to be using Aurinia’s cash flow and balance sheet to build a larger autoimmune company, not just milk one commercial drug.
That creates several potential catalysts.
LUPKYNIS can continue showing commercial growth. Aritinercept indications can be disclosed or advanced. Kezar can close and be integrated. Zetomipzomib can move toward a clearer FDA path. And Tang could pursue additional strategic moves if he sees more undervalued assets in the autoimmune space.
There is also the possibility of a larger strategic transaction down the road.
Tang has a long history of dealmaking. And while that is no guarantee – it does mean investors should view Aurinia differently now. The company is no longer run like a sleepy specialty pharma waiting for LUPKYNIS to mature. It is now under an operator who has repeatedly used biotech companies as vehicles for transactions, restructurings, and exits.
Valuation also looks reasonable. AUPH trades at a modest multiple of trailing sales compared with many commercial rare-disease and specialty biotech names.
Price action is also looking constructive.
Since April, AUPH appears to have formed a bull flag / wedge pattern. The stock consolidated tightly after a prior move higher, and yesterday it looked to have broken out of that range – simultaneously reclaiming both its 21-day and 50-day moving averages (blue and red lines on chart).
Aurinia is now under a capital-allocation-heavy, strategically opportunistic leadership team. And Tang just keeps increasing his exposure.
Given Tang’s open-market purchases, his put-sale commitment, his history of biotech dealmaking, the continued LUPKYNIS growth, the Aritinercept and Kezar pipeline optionality, the modest valuation, and the constructive breakout setup, Aurinia Pharmaceuticals (AUPH) makes a compelling investment.
Good evening, and welcome to this week’s edition of Stealth Trades!
I don’t need to tell you that artificial intelligence is the big theme of the stock market. It has been since 2022. But that theme is rapidly evolving.
On May 7th, Anthropic’s Claude Cowork was introduced to Microsoft Office. It is now living inside Excel, PowerPoint, and Word. Generally available. Not a demo. Not a waitlist.
It is embedded in the three apps that 1.4 billion office workers open every single morning.
Microsoft’s already there too. Copilot has around 20 million paying users, and they rolled out a new Office bundle on May 1st.
And here’s why that’s a bigger deal than it sounds…
Up until a few months ago, “using AI at work” meant you were a developer writing code in something like Cursor. That’s maybe 25 million people on the whole planet.
Now?
AI is about to operate the actual software that over a billion knowledge workers use to do their jobs.
It is a major inflection point.
And few people understand what agentic AI is about to do to global computing demand.
This is a completely different animal than the chatbots you’ve been using.
And there is a basket of stocks that quietly power this entire build-out. Some of these you have never heard of.
WHY AGENTS BREAK THE OLD MATH
If you haven’t started playing with all the fancy AI tools yet, there’s something you need to understand – an AI agent is not a chatbot.
When you ask ChatGPT a question, that’s quick. It doesn’t use a lot of compute power. But AI agents are different beasts.
Compute is measured in tokens which are just little units of compute.
A developer running a focused 30-minute coding session burns somewhere around 50,000 to 200,000 tokens.
Now compare that to a user like me doing financial research.
I might ask an agent to analyze the nuclear power ecosystem, analyze every publicly traded company in the space, reconcile a 200-row file and compare it to industry comps, write a full email summary, and build a 40-slide deck from the information. All from one command.
That single task burns 800,000 to 2 million tokens.
Now… multiply that by 1.4 billion office workers.
Microsoft has already said over 80% of the Fortune 500 has rolled Copilot out to be part of their workforce. The load this puts on the system makes everything that came before it look like a rounding error.
And the infrastructure to handle it does not exist yet.
A chatbot session is short, GPU-heavy, and low-context. An agentic session is the opposite — it runs for hours, it constantly does things, and it leans on CPUs, memory, and GPUs all at once.
The server CPU-to-GPU ratio has already shifted from 1-to-12 in the old training builds to 1-to-2 in these new agentic builds.
That means a whole pile of components nobody was talking about — CPUs, memory, storage, power chips — just became mission critical. The picks-and-shovels layer just got a massive promotion.
That’s why stocks like Sandisk and Micron are going vertical right now.
SURGING TOKEN DEMAND
According to Goldman Sachs’s models, consumer and enterprise agents will push monthly token consumption to roughly 24 times the entire world’s current capacity by 2030.
And in that same report, Goldman noted that quote “token economics turn positive in the first half of 2026.” That’s the moment an agent’s output is worth more than what it costs to run it.
And once that flips, every company on earth has to deploy agents just to stay competitive.
Right now, agentic AI is still more hobbyist tinkering than full commercial deployment. The second it pays for itself, adoption goes vertical — months, not years.
And get this — we are still ridiculously early. The latest estimates say about 78% of humanity has never used a single AI tool. Not once.
THREE U.S. STOCKS YOU CAN BUY EASILY
Unfortunately, a lot of the best names in this stack trade overseas. But I know most of you want something you can buy in the account you already have, without jumping through hoops. So, here are three US-listed stocks that each own a different layer of the agentic build — CPUs, memory, and storage.
STOCK #1 — ARM HOLDINGS (ARM)
This is the toll booth. When a hyperscaler builds its own custom AI chip — Amazon’s Graviton, Google’s Axion, Microsoft’s Cobalt, Nvidia’s Grace and Vera — almost every one of them is built on Arm’s architecture. And Arm collects a royalty on each and every chip.
They don’t care who wins the design war between Amazon, Google, and Microsoft. They get paid either way.
STOCK #2 — MICRON (MU)
Remember what I told you about agentic AI? Agents run for hours and they’re hungry for memory — that’s where all the context lives. Micron is the only US-listed pure-play in high-bandwidth memory, the stuff that sits right next to the GPU.
And guess what? Their entire 2026 HBM production is already sold out. The whole year. The stock has gone parabolic. It is unquestionably extended. But it’s hard to price a company selling out a year of capacity in advance.
STOCK #3 — SEAGATE (STX)
Agents generate mountains more data than chatbots ever did, and all that data has to live somewhere. Seagate is one half of the hard-drive duopoly, and for the first time since 2017 they’ve got real pricing power — capacity reportedly sold out through year-end.
If you want the storage layer of this trade, this is the easy US way to play it.
And if you want to go deeper into storage, its duopoly partner Western Digital, ticker WDC, and the NAND spin-off SanDisk, ticker SNDK, are other options.
INTERNATIONAL STOCKS
If you have an account somewhere like Interactive Brokers that lets you trade global markets, you might also consider some of these:
