Chief Investment Strategist, The Freeport Society
There are only 24 hours in a day – and I used to waste far too many of them on soul-crushing admin.
That’s where AI has most changed my life.
Tasks that would have taken me hours, now take minutes… or even seconds.
I’ve used ChatGPT to crank out legal contracts and business letters in two languages… create graphics and freshen up my websites…. transpose soprano saxophone notes to alto so I can play Christmas carols with my 15-year-old son…. and map out the optimal Disney World visit for my four-year-old daughter.
Now, I’m using it to plan a custom tour of the Uffizi Gallery in Florence that will (hopefully) hold my kids’ attention longer than the latest YouTube short.
Don’t get me wrong. I’m capable of doing these tasks on my own. But they would have taken me hours… days… even weeks.
That’s the beauty of AI.
If you know how to use it, it makes you infinitely more productive.
And this is true of investing, too.
As colleague Keith Kaplan will be lifting the lid on tomorrow in a special broadcast (you can sign up here to attend), he and his team at TradeSmith have created a breakthrough new tool that can make you a better trader.
They’ve nicknamed it TradeSmithGPT.
It works 24/7, 365 days a year – analyzing opportunities across more than 2,400 stocks in every sector you can imagine.
And in backtesting, it’s been able to compress four, eight, even nine years of average stock market gains, in a matter of weeks.
I’ve known Keith for a long time. He and his team have been instrumental in the success of our elite quant advisory, Freeport Alpha. And I’ve never known him to release a new piece of software that doesn’t blow the doors off in terms of market-beating gains.
So, today, I want to make sure tomorrow’s event is on your radar. And give you a sneak peek at this powerful new AI-powered trading tool.
Shockingly Human-Like Responses
By now, you’ve no doubt tried an AI chatbot yourself.
ChatGPT, Google’s Gemini, and Elon Musk’s Grok work through a mix of advanced language modeling, pattern recognition, and probabilistic reasoning.
They’re powered by a Large Language Model (LLM), which has been trained on an enormous dataset of text – books, articles, code, websites… you name it.
When we ask them a question, they break down our input into tokens (words or parts of words). They analyze them for context. Then they use a neural network to predict the most likely next tokens to form the appropriate response.
The results seem shockingly human – but they’re really just statistical likelihoods calculated in real time.
We get answers to our questions, summaries on demand, writing and coding help, even image and video generation – all because the AI draws on patterns from its training and adapts them to our specific request.
Now, businesses are using open-source LLMs to build custom AIs that deliver specific value to them and their customers.
- AT&T has created an AI bot that helps process 40 million annual customer service calls more efficiently. DoorDash has enhanced its delivery support. And IBM created its AskHR application to provide staff with quick, accurate responses to HR-related questions.
- Qraft Technologies offers AI-driven exchange-traded funds (ETFs) that use machine learning to manage portfolios.
- Fintech startup Conquest Planning uses AI to help financial advisors create personalized financial plans.
- And Public, a retail brokerage platform, has integrated an AI assistant named Alpha to give users market insights and personalized investment ideas.
And Keith and his team of data scientists, computer programmers, and quant investors have done something similar.
But instead of training on vast amounts of text… its AI-powered trader trains on vast amounts of stock market data.
This Trader Never Sleeps
Think of it like working with a veteran trader.
Only this trader never sleeps… has a photographic memory… and has watched every market pattern unfold for seven years. So, he can tell you, “I’ve seen this setup 1,000 times before. Here’s what usually happens next.”
Except Keith’s new AI tool can process vastly more data than any human trader ever could. It’s engineered on over 120 million data points, including…
- 4.2 million historical price outcomes across more than 2,400 stocks over seven years
- 88.9 million daily forecasts that model price movements across a 21-day horizon
- Tens of millions of “validation” runs, which refine accuracy and confidence with each new day of data
And it uses this data to spot ideal “profit windows” to trade a stock on the market on any given day.
For example, Tesla might have a 6-day profit window. Apple might have a 15-day one. And Microsoft might have a 19-day profit window.
And the top winners in backtesting are wild. They include gains of…
- 89% in 1 day
- 153% in 18 days
- 339% in 18 days
- 432% in 5 days
- And even 776% in 17 days
This is the real deal. But don’t just take my word for it. Here’s what Freeport Society cofounder Louis Navellier had to say about it…
I’ve been building quant systems since the ‘70s. So, if anyone knows a thing or two about them, it’s me. But let me tell you. What TradeSmith has been able to do with AI and their new financial software is nothing short of incredible. When you see how it’s now possible to see years’ worth of gains in the short term You may never need to buy another piece of trading software.
That’s a ringing endorsement for the man The New York Times called the “Kind of Quants.”
Of course, seeing is believing.
Head here now to see TradeSmithGPT in action. You can also sign up for Keith’s broadcast tomorrow, which kicks off at 10:00 a.m. Eastern.
He’ll demo this new AI tool live on camera — and share the names and tickers of three stocks that could each double in a matter of days.
See you tomorrow.
To live, liberty, and the pursuit of wealth,
Charles Sizemore
Chief Investment Strategist, The Freeport Society
P.S. Here’s that link again to get access to the trial version of TradeSmithGPT and attend tomorrow’s presentation at 10 a.m. ET. Out of curiosity, what do you use AI for most? Let me know at [email protected].