{"id":28508,"date":"2026-09-18T07:30:00","date_gmt":"2026-09-18T11:30:00","guid":{"rendered":"https:\/\/jeffclarktrader.com\/market-minute\/?p=28508"},"modified":"2026-09-17T15:38:00","modified_gmt":"2026-09-17T19:38:00","slug":"bringing-financial-ai-to-main-street","status":"publish","type":"post","link":"https:\/\/jeffclarktrader.com\/market-minute\/bringing-financial-ai-to-main-street\/","title":{"rendered":"Bringing Financial AI to Main Street"},"content":{"rendered":"<div class=\"card card-body bg-light mb-4 mt-4\">\n<p><strong>Managing Editor&rsquo;s note: <\/strong>There are some problems that even the brightest human intelligence can&rsquo;t solve. Luckily, AI is here to help us.<\/p>\n<p>That&rsquo;s the message from our CEO, Keith Kaplan, in today&rsquo;s special dispatch.<\/p>\n<p>Keith&rsquo;s not convinced by the gloom and doom about AI like you&rsquo;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 TradeSmith has spent millions of dollars and years of hard work making that easy for Main Street.<\/p>\n<p>The result is Predictive Alpha. It&rsquo;s an AI-powered forecasting tool that projects stock prices up to 21 days out with historical accuracy rates of 85% and better.<\/p>\n<p>Keith&rsquo;s sharing details about our next-generation system at our <strong><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT881838&amp;eid=MKT884563&amp;step=start&amp;plcid=PLC251277\">Super AI Trading Event<\/a><\/strong> on Sept. 22. He&rsquo;ll show you how a five-stock rotating portfolio based on its forecasts beat the market by 3-to-1 this year.<\/p>\n<p><strong><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT881838&amp;eid=MKT884563&amp;step=start&amp;plcid=PLC251277\">Register for the event here<\/a><\/strong>, and you&rsquo;ll get free limited-time access to our most powerful Predictive Alpha model. Search thousands of stocks to your heart&rsquo;s content and trade those forecasts in the lead-up to the event.<\/p>\n<p>Now, here&rsquo;s Keith&hellip;<\/p>\n<\/div>\n<h2>Bringing Financial AI to Main Street<\/h2>\n<p><strong>BY KEITH KAPLAN, CEO, TRADESMITH<\/strong><\/p>\n<p>Richard Feynman could explain almost anything in the physical world.<\/p>\n<p>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.<\/p>\n<p>But one problem beat him his entire life.<\/p>\n<p>It was in the cream curling into his coffee&hellip; the smoke rising off a match&hellip; the water sputtering from his tap.<\/p>\n<p>It was <em>turbulence<\/em> &ndash; the instant a smooth, calm flow trips over itself and erupts into chaos.<\/p>\n<p>It&rsquo;s a simple enough question: How can a smooth flow of fluid suddenly break down on its own?<\/p>\n<p>But for 90 years, no one could prove why.<\/p>\n<p>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 &ndash; the Millennium Prize Problems &ndash; and put up a $1 million reward for anyone who could crack it.<\/p>\n<p>Then, early this month, it happened.<\/p>\n<p>But it wasn&rsquo;t a human mathematician who cracked it. It was a swarm of 10,000 AI agents.<\/p>\n<p>Those agents were built by OpenAI, the company behind ChatGPT.<\/p>\n<p>And what they pulled off isn&#8217;t only useful for solving a 90-year-old physics problem. It turns out to be just as useful in the stock market.<\/p>\n<p>That&#8217;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.<\/p>\n<p>I&rsquo;m not talking about a chatbot. This is a different kind of AI &ndash; one trained to find the patterns hidden in market chaos.<\/p>\n<p>It&rsquo;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.<\/p>\n<p>Tools like this used to be locked inside the world&#8217;s top hedge funds. Now, we&#8217;re bringing that same edge to Main Street.<\/p>\n<p>In testing, a simple five-stock version of it returned an average annual gain of 239% &ndash; across seven years that ran straight through the pandemic, the 2022 crash, the 2025 tariff selloff, rising interest rates, and two wars.<\/p>\n<p>So far this year, this portfolio has outperformed the S&amp;P 500 three to one as of August&rsquo;s monthly close.<\/p>\n<p>And our AI has called countless other winning trades in between.<\/p>\n<ul>\n<li>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).<\/li>\n<li>Back in April, it called a 19% gain in AI memory stock Micron Technology (MU) in just over two weeks.<\/li>\n<li>And in June, it spotted a 22.5% gain in AI power company Bloom Energy (BE) in just eight trading days.<\/li>\n<\/ul>\n<p>On Tuesday, Sept. 22, at 10 a.m. ET, I&#8217;ll show you how it works and how you can use it yourself when you trade. <strong><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT881838&amp;eid=MKT884563&amp;step=start&amp;plcid=PLC251277\">You can RSVP for that here.<\/a><\/strong><\/p>\n<p>Today, I want to show you the idea behind it &ndash; the same idea those AI agents used to crack a 90-year-old math problem, now put to work on the stock market.<\/p>\n<h2>700,000 Forecasts a Month<\/h2>\n<p>Think about how ChatGPT works.<\/p>\n<p>It&rsquo;s read so much writing that it&rsquo;s learned how words tend to follow one another. Now picture that same technology aimed at a different target.<\/p>\n<p>Instead of language, AI models can be trained on numbers &ndash; and there&#8217;s no more potentially lucrative set of numbers than in the stock market.<\/p>\n<p>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 &ndash; enough to project where a stock is likely to head next.<\/p>\n<p>It doesn&#8217;t know what a company does. It doesn&#8217;t read the news or listen to tips on CNBC. But it recognizes patterns in large sets of numbers.<\/p>\n<p>Show it how a stock is trading today, and it finds moments in history that look like this one &ndash; then forecasts where the price is likely to go next based on what has happened in the past.<\/p>\n<p>We call it Predictive Alpha. Every trading day, it forecasts prices on 2,334 stocks &ndash; more than 700,000 projections a month.<\/p>\n<p>We&rsquo;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.<\/p>\n<p>Here&#8217;s what those forecasts have looked like.<\/p>\n<ul>\n<li>On July 27, 2023, the model projected Opendoor Technologies would reach $4.87. The stock hit that exact price 24 hours later &ndash; a move of 9.4%.<\/li>\n<li>On June 16, 2025, it pointed to Garmin trading at $212.83. Garmin got there to the penny, and faster than expected &ndash; a 4.5% move, in 15 days.<\/li>\n<li>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 &ndash; a 5.2% move, in 24 hours.<\/li>\n<\/ul>\n<p>It&#8217;s not a crystal ball. Markets shift. New patterns emerge. But hidden in the seeming chaos are patterns that repeat &ndash; if you know how to look.<\/p>\n<h2>This AI Reads the Market&rsquo;s Turbulence<\/h2>\n<p>Every trading day, the market takes thousands of small shocks &ndash; a Fed comment, an earnings miss, surging bond yields, and currency fluctuations around the world.<\/p>\n<p>Most of the time, it absorbs them and moves on.<\/p>\n<p>Then one of them tips the whole system, and a calm market turns into a crash.<\/p>\n<p>That&#8217;s a type of turbulence &ndash; the same problem that stumped mathematicians for 90 years, until AI cracked it this month.<\/p>\n<p>Markets run on the same kind of chaos. On any given day, billions of data points are changing by the second &ndash; interest rates, earnings, currencies, commodities, and far more.<\/p>\n<p>Move any one of them a little, and the effect ripples out across thousands of stocks. It&#8217;s far more than any person could ever track.<\/p>\n<p>But it&#8217;s exactly what this new kind of AI is built to read.<\/p>\n<p>Wall Street already knows it. The top quant funds &ndash; Renaissance Technologies, Two Sigma, and Citadel &ndash; have run on machine learning for years. Now the rest of the Street is scrambling to catch up in what&#8217;s become a full-blown AI arms race.<\/p>\n<p>Morgan Stanley recently warned that a wave of &#8220;creative destruction&#8221; is coming for investing itself &ndash; and that firms that don&#8217;t adapt risk being left behind.<\/p>\n<p>Very few Main Street investors have anything close &ndash; yet. That&#8217;s what we&#8217;re setting out to change.<\/p>\n<p>And that&rsquo;s why you should join me on Tuesday, Sept. 22, at 10 a.m. ET.<\/p>\n<p>I&#8217;ll walk you through the technology behind our AI system and the forecasts it&#8217;s flagged. I&#8217;ll explain why the five-stock strategy works &ndash; and how you can use it to build an AI-powered portfolio designed to capture the market&#8217;s biggest short-term moves.<\/p>\n<p>I&#8217;ll even pass along one of the system&#8217;s top trades, as a thank-you for joining.<\/p>\n<p><strong><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT881838&amp;eid=MKT884563&amp;step=start&amp;plcid=PLC251277\">Here&rsquo;s that link again to RSVP<\/a><\/strong>. I hope to see you there!<\/p>\n<p>Sincerely,<br \/> Keith Kaplan<br \/> CEO, TradeSmith<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI models can be trained on numbers \u2013 and there&#8217;s no more potentially lucrative set of numbers than in the stock market.<\/p>\n","protected":false},"author":2765,"featured_media":0,"comment_status":"closed","ping_status":"0","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ep_exclude_from_search":false,"service":"","footnotes":""},"categories":[1],"tags":[],"publication":[10],"person":[118],"newsletter-type":[],"ticker":[],"class_list":["post-28508","post","type-post","status-publish","format-standard","hentry","category-market-minute","publication-market-minute","person-keith-kaplan"],"acf":[],"ai_tts_audio_outdated":false,"ai_tts_content_changed_at":"","ai_tts_content_changed_during_generation":false,"ai_tts_legacy_post":false,"_links":{"self":[{"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/posts\/28508","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/users\/2765"}],"replies":[{"embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/comments?post=28508"}],"version-history":[{"count":2,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/posts\/28508\/revisions"}],"predecessor-version":[{"id":28520,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/posts\/28508\/revisions\/28520"}],"wp:attachment":[{"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/media?parent=28508"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/categories?post=28508"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/tags?post=28508"},{"taxonomy":"publication","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/publication?post=28508"},{"taxonomy":"person","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/person?post=28508"},{"taxonomy":"newsletter-type","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/newsletter-type?post=28508"},{"taxonomy":"ticker","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/ticker?post=28508"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}