We’re Bringing Financial AI to Main Street

By Keith Kaplan September 17, 2026

Listen to the audio version of this article (generated by AI).

Michael’s note: There are some problems that even the brightest human intelligence can’t solve. Luckily, AI is here to help us.

That’s the message from our CEO, Keith Kaplan, in today’s special dispatch.

Keith’s not convinced by the gloom and doom about AI like you’ve been seeing in the media lately. He says that the new era of intelligence is a boon to investors who know how to use it. And our firm has spent millions of dollars and years of hard work making that easy for Main Street.

The result is Predictive Alpha. It’s an AI-powered forecasting tool that projects stock prices up to 21 days out with historical accuracy rates of 85% and better.

Keith’s sharing details about our next-generation system at our Super AI Trading Event on Sept. 22. He’ll show you how a five-stock rotating portfolio based on its forecasts beat the market by 3-to-1 this year.

Register for the event here, and you’ll get free limited-time access to our most powerful Predictive Alpha model. Search thousands of stocks to your heart’s content and trade those forecasts in the lead-up to the event.

Now, here’s Keith…

Richard Feynman could explain almost anything in the physical world.

The renowned theoretical physicist won a Nobel Prize for working out how light and electrons behave, in equations so exact their predictions matched reality to more than 10 decimal places.

But one problem beat him his entire life.

It was in the cream curling into his coffee… the smoke rising off a match… the water sputtering from his tap.

It was turbulence – the instant a smooth, calm flow trips over itself and erupts into chaos.

It’s a simple enough question: How can a smooth flow of fluid suddenly break down on its own?

But for 90 years, no one could prove why.

The question was so hard that, in 2000, a group of mathematicians named it one of the seven greatest unsolved problems in all of math – the Millennium Prize Problems – and put up a $1 million reward for anyone who could crack it.

Then, early this month, it happened.

But it wasn’t a human mathematician who cracked it. It was a swarm of 10,000 AI agents.

Those agents were built by OpenAI, the company behind ChatGPT.

And what they pulled off isn’t only useful for solving a 90-year-old physics problem. It turns out to be just as useful in the stock market.

That’s why my team and I have spent years of work and millions of research dollars putting the power of AI in the hands of ordinary investors.

I’m not talking about a chatbot. This is a different kind of AI – one trained to find the patterns hidden in market chaos.

It’s designed to project where any of 2,334 stocks in the system are most likely to head over the next 21 trading days, with 85% historical accuracy rates or better.

Tools like this used to be locked inside the world’s top hedge funds. Now, we’re bringing that same edge to Main Street.

In testing, a simple five-stock version of it returned an average annual gain of 239% – across seven years that ran straight through the pandemic, the 2022 crash, the 2025 tariff selloff, rising interest rates, and two wars.

So far this year, this portfolio has outperformed the S&P 500 three to one as of August’s monthly close.

And our AI has called countless other winning trades in between.

Just yesterday, this AI tool led to a winning trade of 8.8% in just eight trading days on little-known health sciences firm Revvity (RVTY).

Back in April, it called a 19% gain in AI memory stock Micron Technology (MU) in just over two weeks.

And in June, it spotted a 22.5% gain in AI power company Bloom Energy (BE) in just eight trading days.

On Tuesday, Sept. 22, at 10 a.m. ET, I’ll show you how it works and how you can use it yourself when you trade. You can RSVP for that here.

Today, I want to show you the idea behind it – the same idea those AI agents used to crack a 90-year-old math problem, now put to work on the stock market.

700,000 Forecasts a Month

Think about how ChatGPT works.

It’s read so much writing that it’s learned how words tend to follow one another. Now picture that same technology aimed at a different target.

Instead of language, AI models can be trained on numbers – and there’s no more potentially lucrative set of numbers than in the stock market.

Every price, every gap, every sudden spike in how a stock moves. Train an AI on that kind of data, and it learns how stock prices tend to behave – enough to project where a stock is likely to head next.

It doesn’t know what a company does. It doesn’t read the news or listen to tips on CNBC. But it recognizes patterns in large sets of numbers.

Show it how a stock is trading today, and it finds moments in history that look like this one – then forecasts where the price is likely to go next based on what has happened in the past.

We call it Predictive Alpha. Every trading day, it forecasts prices on 2,334 stocks – more than 700,000 projections a month.

We’ve instructed the model to stay quiet on most stocks. It only flags one when that stock has hit its forecast at least 85% of the time in the past. In a typical week, fewer than one in 100 clear that bar.

Here’s what those forecasts have looked like.

On July 27, 2023, the model projected Opendoor Technologies would reach $4.87. The stock hit that exact price 24 hours later – a move of 9.4%.

On June 16, 2025, it pointed to Garmin trading at $212.83. Garmin got there to the penny, and faster than expected – a 4.5% move, in 15 days.

In May 2025, it projected Tesla would reach $302.89 within 21 trading days. Even with tariff uncertainty hanging over carmakers, the stock hit the exact figure – a 5.2% move, in 24 hours.

It’s not a crystal ball. Markets shift. New patterns emerge. But hidden in the seeming chaos are patterns that repeat – if you know how to look.

This AI Reads the Market’s Turbulence

Every trading day, the market takes thousands of small shocks – a Fed comment, an earnings miss, surging bond yields, and currency fluctuations around the world.

Most of the time, it absorbs them and moves on.

Then one of them tips the whole system, and a calm market turns into a crash.

That’s a type of turbulence – the same problem that stumped mathematicians for 90 years, until AI cracked it this month.

Markets run on the same kind of chaos. On any given day, billions of data points are changing by the second – interest rates, earnings, currencies, commodities, and far more.

Move any one of them a little, and the effect ripples out across thousands of stocks. It’s far more than any person could ever track.

But it’s exactly what this new kind of AI is built to read.

Wall Street already knows it. The top quant funds – Renaissance Technologies, Two Sigma, and Citadel – have run on machine learning for years. Now the rest of the Street is scrambling to catch up in what’s become a full-blown AI arms race.

Morgan Stanley recently warned that a wave of “creative destruction” is coming for investing itself – and that firms that don’t adapt risk being left behind.

Very few Main Street investors have anything close – yet. That’s what we’re setting out to change.

And that’s why you should join me on Tuesday, Sept. 22, at 10 a.m. ET.

I’ll walk you through the technology behind our AI system and the forecasts it’s flagged. I’ll explain why the five-stock strategy works – and how you can use it to build an AI-powered portfolio designed to capture the market’s biggest short-term moves.

I’ll even pass along one of the system’s top trades, as a thank-you for joining.

Here’s that link again to RSVP. I hope to see you there!

Sincerely,

Keith Kaplan
CEO, TradeSmith