Editor’s note: In today’s market, patterns form and disappear so quickly that traditional analysis is starting to fall behind. Increasingly, the advantage goes to investors who can spot stock behaviors early — or better yet, use systems that can detect them for you.
That’s why we wanted to share today’s guest article from the CEO of TradeSmith Keith Kaplan. In it, he explains how former New England Patriots coach Bill Belichick led his team to victories by creating behavioral profiles of his best players, and how this method works similarly to TradeSmith’s Behavioral Profile Analysis (BPA). A system that identifies specific market “signals” – patterns that have historically led to profitable trades – often before they are fully evident.
You can also explore this system for yourself now… before Keith explains it step-by-step over the next period Artificial intelligence signals trading event on Wednesday, April 22 at 10 a.m. EST.
If you want to know how it works – and what it stands for in today’s market – you can Reserve your spot and get access here.
Bill Belichick knows things about opposing quarterbacks that even they don’t know themselves.
Belichick coached the New England Patriots for more than two decades and won six Super Bowls. But it wasn’t just the victories that made him a legend, it was also the preparation behind them.
Every week, before facing a new team, he built a behavioral profile of his key players. Not just the obvious tendencies — like where a quarterback likes to throw the ball on third or long or how he handles pressure — but also the really subtle things.
How the QB responds to cold weather Whether he holds the ball longer on the turf than on the turf. How a particular referee’s calls shape his decisions.
FBI analysts have built an entire system around the same idea. Study any person carefully enough, and their behavioral patterns become clear and predictable. Not perfect…but enough to act on.
Most investors don’t realize this. But each stock has its own behavioral profile, too — its own habits, quirks, and sayings.
Once you learn how to read this profile, the market looks less like a random system and more like a place where patterns govern what happens next.
in Want SmithMy team and I have spent over a year developing a new type of trading tool for pattern extraction. One builds a behavioral profile of over 2,000 stocks and scans them daily looking for specific patterns that have historically preceded big moves.
I’ll show you how this works in a moment, and how recurring patterns are found with historical accuracy rates of 90% and higher. I also give you An opportunity to test a beta version of our software Before the next launch event.
First, if you don’t know us already, please get some background on TradeSmith.
21 years of learning to read market forecasts
We are a leading fintech company headquartered in Baltimore.
As CEO, I manage a team of 65 people, with an annual budget of $8 million, developing 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. We are always innovating, and this is what makes us excel at it Forbes, The Wall Street Journaland The Economist.
Inside our research lab, we’re like modern-day prospectors panning for gold, only we use data and computers, not pans and shovels. We constantly test algorithmic trading strategies, market health indicators, and analytics to uncover what actually works — and what doesn’t.
You may have heard about our risk management programme, TradeStops. It takes the emotions out of investing by showing you the ideal time to sell your shares.
We’ve also created software tools that detect hidden seasonal patterns in stocks… look for undervalued options trades… and use AI to forecast stock movements for up to 21 trading days.
But this time, we didn’t just create a revolutionary trading software. We’ve also created a whole new way of thinking about the markets.
Every stock has its own story
We all know that there are different ways to analyze stocks and choose trades. The two main ones are Fundamental analysis and Technical analysis (Also known as chart analysis).
Through fundamental analysis, you can look at the value of a company and whether the market is pricing it correctly. Warren Buffett made this method famous. It works. But he applies the same framework to every company, as if they all behaved the same way.
With technical analysis, you look at how a stock is trading rather than what the company is doing. It also works. But like fundamental analysis, it also applies the same frameworks to thousands of different companies.
Then there’s a third, game-changing approach that we’ve been working on at TradeSmith.
Where fundamental analysis asks how much a company is worth and technical analysis asks how its shares trade, our approach asks something completely different.
how This specific stock Action – and when does this behavior indicate a big step?
We call it behavioral profile analysis (BPA). It changes the way you think about trading…
This changes how you see stocks
At the foundation of BPA is a simple observation: every business in the world is unique.
This means that each stock has its own way of behaving and its own way of reacting to what is happening in the economy and the markets.
For example, a technology company like Oracle Corporation (ORCL) It will behave differently than an oil product such as Chevron Company (CVX). And a large pharmaceutical company such as Pfizer (PFE) You will behave differently from such a retailer Messi Company (M). These are four very different business models.
When you look at the markets this way, stocks start to resemble people. Each one has their own behavioral patterns – their habits, tendencies, and quirks.
The same economic event hits two companies differently. The same market development leads to two different reactions. Underneath it all, each stock leaves behind a distinct trading “fingerprint.”
But most of these fingerprints are invisible to the human eye.
That’s why the system we developed evaluates 2.09 million potential trades per day across 2,467 stocks. He runs each one through hundreds of calculations, looking for specific combinations of factors that have historically preceded big moves.
We’ve tested this strategy from every angle. Here’s what we found…
When these factors align, gains tend to follow
Invesco Limited (IVZ) It is one of the largest investment management companies in the world.
We ran it through our system and found that two factors must be aligned to trigger the IVZ signal. The stock’s Bollinger Band Index B percent and cash flow index must exceed 80.
The Bollinger Percent B indicator measures where a stock’s price is relative to its most recent trading range. The money flow index tracks whether money is flowing in or out of a stock.
No human analyst would be able to solve this specific pattern because no one would think to look for it.
But this signal produced an 18.8% gain in 11 days.
to Lam Research Company (LRCX)one of the largest manufacturers of semiconductor manufacturing equipment, the pattern was different.
Two different factors had to be aligned to trigger this signal. The stock had to close above its 200-day moving average. This close was supposed to fall exactly two trading days before the market holiday.
Nothing about the company’s earnings…or the semiconductor sector…or the broader market. Just a price condition and a calendar condition, lining up at a specific moment.
That’s it.
When the signal was triggered on August 28, 2025 — two days before Labor Day — LRCX rose 11.4% in 15 days.
The historical accuracy rate behind that signal was 86%.
We did not stop there.
In January and February, we also conducted live beta testing using the same signals internally. The results were just as strong.
We were blown away by these live test results
One of our demo trades was running Equifax Corporation (EFX). It is one of the largest consumer credit reporting agencies in America.
Again, two factors had to be aligned to trigger this signal. The stock had to close lower for four consecutive days. Market volatility had to rise above its 10-day average.
When both conditions were met, the result was a 15.2% profit in seven days – versus a historical accuracy rate of 91%.
With these examples, we were trading our signals with stocks.
When we applied our signals to options trades, the results included:
- Caterpillar Inc. (cat): 126% within 72 hours
- Nvidia company (NVDA): 129% in 5 days
- Lockheed Martin (LMT): 365% in 30 days
- HCA Healthcare (HCA): 461% in 13 days
- Generac Holding Company (GNRC): 1,082% in 33 days
We’ve invested over a year of work… and millions of dollars… into this system. But as you can see, the results are worth it. We have built the most advanced analytical platform in our company’s 21-year history.
Because it looks at the world in a way that more than 99% of investors never think about, it gives you a powerful advantage.
They think differently… trade differently… and deliver market-beating trades as a result.
You can find out all about this on my website Artificial intelligence signals trading event on Wednesday, April 22 at 10 a.m. EST.
I’ll walk you through the technology behind it – and the deals on the horizon over the coming weeks.
In the meantime, take it for a test drive. by Register for this event hereYou will get instant access to the final beta version before launch.
Hope to see you there.
Keith Kaplan
CEO, Want Smith
note: Not every signal lasts forever. When enough traders discover an anomaly, they trade it to death. The edge closes. Renaissance Technologies, the world’s most successful hedge fund, understood this fact better than anyone. Every day, its systems measure “signal decay.” The moment the signal stops working, he is mercilessly killed.
Our system does the same thing. But for now, the window is still open for many of our best signals. I’ll explain what that means for you at the event on April 22. Here’s the link again to secure your spot.
