Inside the $650 Million Trade That Exposed Wall Street’s Best-Kept Secret
Editor’s Note: Good evening, TradeSmith Insiders – Mike Burnick here.
When most investors hear the phrase “AI stocks,” they picture the same handful of names everyone’s already talking about.
The obvious winners. The trades that have already played out.
But history shows that the biggest gains rarely start there.
They begin with companies hiding in plain sight – businesses that don’t look like AI plays until suddenly, the market realizes they are.
At TradeSmith, we’ve learned this lesson the hard way… and the profitable way. Not by predicting headlines – but by studying how real money moves. Who’s buying. How aggressively. And when.
Few people understand that better than my colleague Jason Bodner. For decades, Jason has focused on one core idea: when Wall Street’s biggest players build positions, they leave measurable footprints — and those footprints can be tracked.
Below, Jason tells the true story of a massive institutional trade that changed how he saw the market – and ultimately led him to build a system designed to spot large buying before it becomes obvious.
And that brings me to what’s next.
On Wednesday, February 25, at 8 p.m. ET, Jason will join Jeff Brown, founder and CEO of Brownstone Research, for a free event called The Secret AI Stocks Summit.
Together, they’ll reveal a small group of what they call “Secret AI Stocks” – companies most investors wouldn’t even classify as AI yet sit at the center of where trillions in AI spending are headed next.
These are the kinds of setups that once included Nvidia, Palantir, Super Micro Computer, and AppLovin — before their explosive runs.
During the summit, Jason will walk through the system he uses to identify these opportunities early… and both he and Jeff will share one AI stock flashing a buy signal.
This isn’t about predicting the future.
It’s about recognizing the signals before the crowd.
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With that said, let’s hand it over to Jason…
The phone rang at my trading desk at Cantor Fitzgerald just after 10 a.m. on a Tuesday.
My job at the time was matching big institutional buyers – pension funds, hedge funds, and sovereign wealth funds – with sellers. If a fund wanted to buy or sell a large block of stock, I was the guy who found the other side of that trade.
On the other end of the line was a friend who managed money at a Wall Street bank. He wanted shares of a stock for a client. Call it KDQ.
I found a seller within minutes. I offered him 100,000 shares – about $2 million worth. Standard procedure. At least, that’s what I thought.
He grabbed them instantly.
“Got any more?”
By closing bell, I’d sold him a million KDQ shares – worth $20 million.
The next day, I sold him another million shares… now at a higher price because the share price was climbing.
The next day, another million shares. The fourth day, the same pattern.
After a month, I found every available KDQ share he could buy – about 20 million shares total worth about $650 million dollars when all was said and done. The stock jumped 70%. CNBC ran the story.
Days later, I learned the buyer’s identity. A $20 billion hedge fund had grabbed a stake of 15% in the company. Through me and others, they’d scooped up 50 million shares.
I sat at my desk and did the math. Anyone who bought KDQ on day one turned $1,000 into $1,700 in four weeks.
That’s roughly 6x what you’d typically earn in a year holding the S&P 500…in just one month.
Whale Hunt
That phone call changed everything for me.
Not because I got rich off the KDQ trade. (I didn’t – I was just the middleman.) But because some people in dark rooms on Wall Street knew about this trade before it wrapped up.
When Wall Street players see one of their own building a position on this scale, they jump in and wide that buying wave higher.
KDQ wasn’t a one-off. These guys are doing this on any given Tuesday and pocketing the profits.
The rest of us? We’re at their mercy.
Without the kind of intel these big players have available to them, we have no idea when a massive trade like this is happening. Compared to them, we’re flying blind.
That’s when a question began to burn in my mind. Could I build a system to spot these massive orders – legally – and ride them higher for profits before the rest of the market caught on?
That question obsessed me for 20 years. I wanted to understand how these whales operate, what clues they leave behind, and how to get in front of their massive buying. The result is my Quantum Edge System.
Using advanced algorithms, it spots the footprints of deep-pocketed investors on buying sprees.
Every day at 2 a.m., it scans 120 data points across about 6,000 stocks. It filters for three critical things:
- 1. Strong market mechanics like abnormal volume, buying pressure, and volatility.
- 2. Solid fundamentals including sales growth, earnings expansion, and manageable debt.
- 3. Unusually large institutional buying patterns – those footprints they leave behind
When all three align, that’s my signal to buy.
Beating Wall Street at Its Own Game
I’m not going to tell you this system is perfect. We don’t win every time. But with Quantum Edge, we win more than we lose. And our winners tend to be bigger than our losers.
That’s a recipe for long-term success.
I understand if you’re skeptical – you should be.
That’s why, I challenged a team of Ivy League quants to prove my success wasn’t random. None could. They had to concede that the system is statistically significant, which in their world means scientifically confirmed.
Third-party firms like Navellier & Associates have analyzed my data across tens of thousands of stocks. They found that we spot, on average, half the top 25 stocks in the S&P 500 each year.
In outlier years, my system has identified as much as 80% of the top performers. These include:
- The Trade Desk (TTD) before its 1,403% run.
- SolarEdge (SEDG) before it jumped 567% in 18 months.
Over a 35-year backtest from 1990 to last year, the system delivered 13.5% annualized returns versus 8.3% for the S&P 500 – nearly two-to-one outperformance. Compounded over the full period, that gap widens to more than 5x.
And right now, my system is lighting up buy signals concentrated in a tiny group of misunderstood stocks.
The Same Signals That Flagged KDQ Are Flashing Again
A group of stocks – less than 0.3% of what we track – shows similar buying patterns to what I saw with that $20 million KDQ order 16 years ago.
And these aren’t just any stocks. They’re what I call Secret AI Stocks.
On the surface, they don’t look like AI stocks at all. They operate in industries outside of tech. But underneath, they’re building the infrastructure AI needs to scale.
Nvidia (NVDA) didn’t start out as an AI trade. When my system flagged usually large levels of institutional buying in September 2016, most folks saw it as a computer gaming chipmaker.
But anyone who bought then and held on could’ve turned $10,000 into more than $1.2 million.
Most people had no idea what Palantir Technologies (PLTR) did when my system identified it back in May 2023. The stock had barely moved for years. Then it ripped 1,921%.
It was a similar story for Dell (DELL) before it climbed 669%… Super Micro Computer (SMCI) before it jumped 1,940%… and AppLovin (APP) before it surged 2,343%.
Now, it’s happening again. Five new Secret AI Stocks are flashing buy signals.
These companies sit in the critical sectors for AI growth – energy, data centers, semiconductor manufacturing. The areas where Silicon Valley, Wall Street, and Washington plan to deploy trillions over the next few years… but where most individual investors haven’t looked yet.
Jeff Brown and I are laying out the full picture at our Secret AI Stocks Summit on Wednesday, February 25 at 8 p.m. ET.
During this free event, we’ll show you more about how we’ve uncovered these hidden AI plays… why they’re positioned to become the next trillion-dollar AI stocks that everyone is talking about… and how you can profit.
And as a thank you for joining us, we’ll each pass along one of our top-Secret AI Stock recommendations.
The whales are already buying. Now, it’s our turn to jump on these trades and ride them higher.
To reserve your spot for Wednesday’s event, go here now.
Sincerely,
Jason Bodner