This system identifies settings that are repeatable across thousands of stocks, and you can test them yourself.
Most investors assume that the market is chaotic… unpredictable… and impossible to “solve.”
But what if this isn’t quite true?
On Friday digest seizure, Keith KaplanCEO of our subsidiary Want SmithHe asserts that markets behave less like randomness and more like a complex puzzle – a puzzle governed by recurring patterns, much like a Rubik’s Cube.
By analyzing millions of potential trades, Keith and his team have identified specific combinations of factors that tend to lead to the same results over and over again. Not predictions, but high-probability setups that have historically produced remarkably consistent results.
Below, Keith explains how this system works — and why it reveals opportunities most investors would never think to look for.
He will also explain exactly how this system works during his lifetime Artificial intelligence signals trading event Next Wednesday, April 22 at 10am EST. You can reserve your place – and start trying out the system straight away – here.
If you’re looking for a more systematic, data-driven way to approach the market, today’s article is definitely worth your time.
I’ll let Keith take it from here.
I wish you a good evening,
Jeff Remsburg
In the spring of 1974, a 29-year-old architecture professor in Budapest set out to solve an engineering problem—and accidentally created one of the world’s wildest puzzles.
Erno Rubik wanted to see if he could move a group of interconnected blocks independently without the entire structure collapsing.
He built a prototype out of wood: 26 small pieces, held together by a round core inspired by the smooth stones he observed along the banks of the Danube.
Then he mixed it up…and spent the next month trying to put it back together again.
His cube had 43 quintillion possible configurations—the result of six faces, 54 colored squares, and each twist reshuffled their relationships.
What caused it to finally crack wasn’t brute force. It has been a discovery that certain sequences of movements produce reliable, repeatable results – every time.
For example: Rotate the top layer clockwise twice, rotate it right side up, and then rotate the top layer again. If this sequence is performed in the correct order, on the correct pieces, it always produces the same result. It doesn’t matter what the rest of the cube looks like. The result was completely expected.
What we discovered in Want Smith is that the stock market has its own version of this problem… and its own solution.
Each stock’s path is shaped by thousands of variables simultaneously: price history, momentum, volatility, economic data, sector trends, and hundreds of other arcane factors that most analysts would never think to correlate.
This is the principle behind the new AI-powered trading system that our engineers have spent the past 12 months developing. By evaluating 2.09 million potential trades every day, something remarkable was found.
When certain combinations of factors align, they indicate trading setups with historical accuracy of 90% or better.
This alignment doesn’t happen just once or twice. They are repeated across bull markets and bear markets, crashes and recoveries.
We call them “signals”. In a one-year backtest, a portfolio of these signal-based trades outperformed the S&P 500 by about 3 to 1.
In this article, I’ll show you some examples of those deals… Plus I give you Access the trial version of our software Before the next launch event.
First, if you don’t know us already, please get a little background on TradeSmith – and how we got here…
Prospectors in the modern era
We are a financial technology company based in Baltimore.
As CEO, I manage a team of 65 people, and 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.
Inside our research lab, we’re like modern-day prospectors panning for gold – we’re just using data and computers, not pans and shovels. We constantly test trading strategies, financial metrics, and data patterns to uncover profitable systems and indicators.
This is what made us stand out in it Forbes, The Wall Street Journaland The Economist.
Our risk management program, TradeStopsPut us on the map. It takes the emotions out of investing by showing you the ideal time to sell your shares.
We’ve also created software that detects hidden seasonal patterns in stocks… detects undervalued options trades… and uses AI to predict stock movements for up to 21 trading days.
I am proud of what we have accomplished so far. But I have to say – this latest system tops them all…
Solving the market puzzle…one unit at a time
Each signal in our new system is built from a specific set of factors – technical indicators, price patterns, and market conditions – that lined up before and preceded big moves.
When they all line up again, the signal goes off.
takes Invesco Limited (IVZ)One of the largest investment management companies in the world.
There are two factors that must agree for this signal to be triggered. 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.
This is the kind of pattern that no human analyst would ever find. Not because it’s complicated, but because no one would think to look for it.
But this IVZ signal produced an 18.8% gain in 11 days.
to Lam Research Company (LRCX)one of the largest manufacturers of semiconductor manufacturing equipment, had to juggle two different factors.
The stock had to close above its 200-day moving average. This close was supposed to fall two days before the market holiday.
That’s it. Nothing about the company’s profits. Nothing about the semiconductor sector. Nothing about the broader market. Just a price condition and a calendar condition, lining up at a specific moment.
After 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 didn’t just test this strategy using historical data. In January and February, we also ran an internal live beta test using the same signals internally – led by a quantitative strategist at TradeSmith. Mike Carr.
Seven times the market return
Mike began writing code for the US Air Force and working in cryptography for the Pentagon. He co-managed mutual funds and high net worth accounts worth up to $200 million before joining us at TradeSmith.
He also holds the Certified Market Technician designation – a technical analysis credential held by less than 5,000 people worldwide.
So he is the perfect person to implement this new system.
Among the top 100 trades he posted, we saw an average profit of 2.6% in nine trading days. Over the same period, the S&P 500 rose just 0.4%.
So we’re talking roughly a 7x market return.
And remember, an average return of 2.6% occurred over nine trading days. This equates to a gain of 73% over the course of a full year.
It’s not swinging for the fences on a handful of high-risk bets. But through a constant series of short, high-probability setups, each one identified by AI the night before the market opens.
When we traded these signals with options, 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
That’s why I’m so excited to showcase this new system at our upcoming launch event — and why I’d love for you to join me and test this amazing new system for yourself.
Unlike anything in our 21 year history
We have Artificial intelligence signals trading event I’m going to share something I’ve never done before.
Mike agreed to put real money into any stock indicated by our signals system one morning, without researching the company at all.
He did not look at the profits… or look at the news… or even research what the company did. He just followed the signal. We’ve recorded it all, and I’ll share the result with people who join us.
At this event, I’ll walk you through exactly how our signaling system works. I’ll also touch on the factors it tracks… the trades it signals… and why the coming weeks could provide one of the most target-rich environments for signal trading we’ve seen in years.
You go Wednesday, April 22 at 10 a.m. EST. So, make sure to clear some time in your schedule Secure your place.
When you sign up using this link, you’ll also get instant trial access to our new signals software so you can test it out before the event.
This way, you can explore the signals triggered by 2467 stocks yourself before broadcasting them.
Hope to see you there.
Keith Kaplan
CEO, Want Smith
note: We have already allowed a small group of investors to test the system before launch. One beta user, Edward F., reported a perfect success rate on every trade he closed. Another, John M, called it a “game changer.”
Here’s the link again to access our beta program before it launches on April 22nd.
