{"id":26915,"date":"2026-04-22T07:30:00","date_gmt":"2026-04-22T11:30:00","guid":{"rendered":"https:\/\/jeffclarktrader.com\/market-minute\/?p=26915"},"modified":"2026-04-21T11:54:54","modified_gmt":"2026-04-21T15:54:54","slug":"the-secret-behind-historys-most-profitable-hedge-fund","status":"publish","type":"post","link":"https:\/\/jeffclarktrader.com\/market-minute\/the-secret-behind-historys-most-profitable-hedge-fund\/","title":{"rendered":"The Secret Behind History\u2019s Most Profitable Hedge Fund"},"content":{"rendered":"<div class=\"card card-body bg-light mb-4 mt-4\">\n<p><strong>Managing Editor&rsquo;s Note: <\/strong>In just a few hours, TradeSmith CEO Keith Kaplan will be going live at the <em><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT864375&amp;eid=MKT867702&amp;step=start&amp;plcid=PLC244599\">AI Signals Trading Event<\/a><\/em> to show how high-probability setups have historically delivered remarkably consistent results.<\/p>\n<p>By analyzing millions of potential trades, Keith and his team have identified specific combinations of factors that tend to lead to the same outcomes again and again.<\/p>\n<p>If you&rsquo;re looking for a more systematic, data-driven way to approach the market, be sure to register for today&rsquo;s event, then check out how the system works below.<\/p>\n<\/div>\n<h2>The Secret Behind History&rsquo;s Most Profitable Hedge Fund<\/h2>\n<p><strong>BY KEITH KAPLAN, CEO, TRADESMITH<\/strong><\/p>\n<p>In September 1995, a philosophy professor read a manifesto in <em>The Washington Post<\/em> and unmasked a killer.<\/p>\n<p>Her name was Linda Patrik. She was at her desk at Union College in Schenectady, New York, when a colleague handed her a printout of a 35,000-word anti-technology rant the paper had published.<\/p>\n<p>Despite the longest and most expensive criminal investigation in U.S. history, the FBI had failed to catch its author, the Unabomber, for 18 years.<\/p>\n<p>Between 1978 and 1995, 16 of his homemade bombs had killed three people and injured two dozen more. In desperation, the Bureau decided to publish his manifesto, hoping someone would know who wrote it.<\/p>\n<p>Patrik recognized him immediately. The anti-technology stance was identical to the extreme views of her estranged brother-in-law, Ted.<\/p>\n<p>She called her husband, David Kaczynski, and told him to come to her office to read it himself. He was skeptical at first. Then he noticed the phrase &ldquo;cool-headed logicians,&rdquo; which his brother had often used.<\/p>\n<p>These weren&rsquo;t the only tells that Ted Kaczynski was the Unabomber. After Patrik tipped off the FBI, its forensic linguists found a cluster of details that pointed back to him.<\/p>\n<ul>\n<li>Unusual misspellings &ndash; &ldquo;wilfully&rdquo; for &ldquo;willfully,&rdquo; and &ldquo;clew&rdquo; for &ldquo;clue&rdquo; &ndash; that matched spelling reforms championed by <em>The Chicago Tribune<\/em>, suggesting the author had grown up in or near Chicago.<\/li>\n<li>The phrase &ldquo;rearing children&rdquo; instead of &ldquo;raising children&rdquo; &ndash; a northern U.S. dialect marker.<\/li>\n<li>Words like &ldquo;anomic&rdquo; and &ldquo;chimerical&rdquo; that suggested a highly educated author.<\/li>\n<\/ul>\n<p>Each signal alone didn&#8217;t mean much. But together, they formed a linguistic &ldquo;thumbprint&rdquo; &ndash; a unique pattern that pointed to one man.<\/p>\n<p>Today, at TradeSmith, we&rsquo;re using AI to do something similar. But instead of tracking down criminals, we&rsquo;re hunting for opportunities across 2,467 stocks, every day.<\/p>\n<p>You see, every great trade has its own thumbprint, too. In linguistics, it might be a writing style or a phrase. In the stock market, it&rsquo;s a unique combination of data points that, taken together, signal a high-probability trade.<\/p>\n<p>Our new system identifies those thumbprints &ndash; 90 minutes <em>before<\/em> the trade occurs.<\/p>\n<p>That&rsquo;s a big claim, I know. And I don&rsquo;t take it lightly.<\/p>\n<h2>Stocks Have Their Own Language, Too<\/h2>\n<p>This kind of pattern recognition has been hiding in plain sight for decades.<\/p>\n<p>It began in a Long Island strip mall, in a cramped office beside a pizza joint, where a former math professor was building the most successful hedge fund in history.<\/p>\n<p>Jim Simons had just walked away from his tenured position running the math department at Stony Brook University. He was working out of a nearby mall to run his fledgling trading firm, which he later named Renaissance Technologies.<\/p>\n<p>Simons wasn&rsquo;t interested in earnings reports or analyst forecasts. He knew that if you did what everyone else was doing, you&rsquo;d get the same returns as everyone else. And he wanted to beat the market, not just track it.<\/p>\n<p>So he looked for unique signals &ndash; obscure, repeatable patterns buried in reams of market data that pointed to predictable moves.<\/p>\n<p>To find them, he didn&rsquo;t hire Wall Street traders. He hired mathematicians, physicists, and &ndash; notably &ndash; two IBM scientists who had spent their careers building speech recognition models.<\/p>\n<p>They&rsquo;d been building computer models to predict the next word in a sentence based on patterns in prior text. Simons told them to apply the same logic to stocks.<\/p>\n<p>The result: Renaissance Technologies averaged 66% annual gross returns over four decades and became the most profitable hedge fund in history.<\/p>\n<p>For decades, this approach stayed locked inside a handful of elite hedge funds, widening the wealth gap instead of closing it.<\/p>\n<p>Since we founded TradeSmith 21 years ago, it&rsquo;s been our mission to change that. But we&rsquo;ve never gone this deep.<\/p>\n<p>Our new AI system evaluates 2.09 million potential trades a day across 2,467 stocks. It runs each one through 847 individual calculations, hunting for the same kinds of signals Simons built his career on.<\/p>\n<p>When the right combination of factors aligns, our system flags it as a high-probability trade setup.<\/p>\n<p>The results have surprised even us.<\/p>\n<h2>Historical Win Rates of 90% and Higher<\/h2>\n<p>Take <strong>Lam Research (LRCX)<\/strong>, one of the largest makers of semiconductor manufacturing equipment.<\/p>\n<p>Two factors had to align for this signal to fire. The stock had to close above its 200-day moving average. And that close had to fall two trading days before a market holiday.<\/p>\n<p>Nothing about the company&rsquo;s earnings&hellip; about the semiconductor sector&hellip; or about the broader market. Just a price condition and a calendar condition, lining up at a specific moment.<\/p>\n<p>That&rsquo;s it.<\/p>\n<p>When the signal fired on Aug. 28, 2025 &ndash; two trading days before Labor Day &ndash; LRCX gained 11.4% in 15 days.<\/p>\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/tradesmith.com\/wp-content\/uploads\/2026\/04\/Screenshot-2026-04-15-at-10.58.46-AM.png\" alt=\"\"\/><\/figure>\n\n<p>The historical accuracy rate behind that signal was 86%.<\/p>\n<p>Or take data analytics company <strong>Palantir (PLTR)<\/strong>.<\/p>\n<p>On Oct. 30, 2020 &ndash; with markets rattled by a new COVID variant &ndash; our system flagged a thumbprint with a 95% historical success rate.<\/p>\n<p>Every time Palantir had gone down at least three days in a row&hellip; its daily price swings were shrinking&hellip; and at least 5,000 U.S. hospitals were accepting new patients&hellip; the stock was on the verge of a major jump.<\/p>\n<p>The forecast called for a 5.8% gain in nine days. The result: 15.1% in seven.<\/p>\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/tradesmith.com\/wp-content\/uploads\/2026\/04\/Screenshot-2026-04-16-at-12.10.57-PM.png\" alt=\"\"\/><\/figure>\n\n<h2>Bull or Bear: Our System Doesn&rsquo;t Care<\/h2>\n<p>You may be wondering what hospital numbers have to do with Palantir&rsquo;s share price.<\/p>\n<p>Its biggest clients are hospitals. With about 6,100 hospitals operating across the U.S., a drop below 5,000 open facilities would spell trouble for the company&rsquo;s revenue. When hospital numbers fall, Palantir&rsquo;s business feels it &ndash; and so does its share price.<\/p>\n<p>Our system is built to find those kinds of connections. Not the hospital figures themselves, but the imprints they leave behind in the data.<\/p>\n<p>No one knows exactly why each signal works so well. <em>It doesn&rsquo;t matter<\/em>. Our system is objective. It&rsquo;s looking for alignments that have worked before, most of the time &ndash; even when there&rsquo;s no obvious reason why.<\/p>\n<p>This new kind of trading system doesn&rsquo;t care whether we&rsquo;re in a bull or a bear market. It doesn&rsquo;t need a strong economy or a calm geopolitical environment. It just needs certain factors to align. That&rsquo;s what makes it so powerful in today&rsquo;s market.<\/p>\n<p>I&rsquo;ll walk you through how it works in more detail &ndash; including the signals it&rsquo;s tracking right now and the trades it&rsquo;s flagging for the weeks ahead &ndash; during our<strong><em> AI Signals Trading Event<\/em><\/strong> launch.<\/p>\n<p>It kicks off<strong> in a few hours at 10 a.m. Eastern.<\/strong> So make sure to clear some time in your calendar and <strong><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT864375&amp;eid=MKT867702&amp;step=start&amp;plcid=PLC244599\">register your interest here.<\/a><\/strong><\/p>\n<p>My team and I have been working on this new project for the last 12 months. And since becoming CEO of TradeSmith, I&rsquo;ve never been more excited about what we&rsquo;re about to reveal.<\/p>\n<p>All the best,<\/p>\n<p>&nbsp;<\/p>\n<p>Keith Kaplan <br \/> CEO, TradeSmith<\/p>\n<p><strong>P.S.<\/strong> Not every signal lasts forever. When enough traders discover an anomaly, they trade it to death. And the edge goes away.<\/p>\n<p>Renaissance Technologies knows this better than anyone. Every day, its systems measure &ldquo;signal decay.&rdquo; The second a signal stops working, it&rsquo;s killed without mercy.<\/p>\n<p>Our new system does the same thing. But right now, the window is still open for many of our best signals. I&rsquo;ll show you what that means for you today, at 10am ET. <strong><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT864375&amp;eid=MKT867702&amp;step=start&amp;plcid=PLC244599\">Here&rsquo;s that link again to secure your spot.<\/a><\/strong><\/p>\n\n\n\n","protected":false},"excerpt":{"rendered":"<p>The trick that caught a killer \u2013 and finds winning trades\u2026<\/p>\n","protected":false},"author":100,"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-26915","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_legacy_post":false,"_links":{"self":[{"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/posts\/26915","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\/100"}],"replies":[{"embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/comments?post=26915"}],"version-history":[{"count":2,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/posts\/26915\/revisions"}],"predecessor-version":[{"id":26924,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/posts\/26915\/revisions\/26924"}],"wp:attachment":[{"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/media?parent=26915"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/categories?post=26915"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/tags?post=26915"},{"taxonomy":"publication","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/publication?post=26915"},{"taxonomy":"person","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/person?post=26915"},{"taxonomy":"newsletter-type","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/newsletter-type?post=26915"},{"taxonomy":"ticker","embeddable":true,"href":"https:\/\/jeffclarktrader.com\/market-minute\/wp-json\/wp\/v2\/ticker?post=26915"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}