{"id":25738,"date":"2025-08-01T10:23:21","date_gmt":"2025-08-01T07:23:21","guid":{"rendered":"https:\/\/forklog.com\/en\/oklahoma-schoolboys-chatgpt-bot-outperforms-russell-2000\/"},"modified":"2025-08-01T10:23:21","modified_gmt":"2025-08-01T07:23:21","slug":"oklahoma-schoolboys-chatgpt-bot-outperforms-russell-2000","status":"publish","type":"post","link":"https:\/\/u1f987.com\/en\/oklahoma-schoolboys-chatgpt-bot-outperforms-russell-2000\/","title":{"rendered":"Oklahoma Schoolboy&#8217;s ChatGPT Bot Outperforms Russell 2000"},"content":{"rendered":"<p>A schoolboy from rural Oklahoma entrusted ChatGPT with managing $100, achieving a return that significantly outpaced the market, reports <a href=\"https:\/\/decrypt.co\/332826\/high-school-students-chatgpt-trading-bot\">Decrypt<\/a>.<\/p>\n<p>Nathan Smith&#8217;s experiment began four weeks ago with a simple idea: to give artificial intelligence full control over a portfolio of small-cap stocks and observe the outcome.<\/p>\n<p>The return was 23.8%, while during the same period, the Russell 2000 and XBI indices rose by 3.9% and 3.5%, respectively.<\/p>\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-qw.googleusercontent.com\/docsz\/AD_4nXcYVNa2SE8Xs6Pcdw3UZpSkzGHr8HH2vZ2Qn4sORfu1Xp23g7nvpqEJ9ZOcs48omi4lHOJAh9vJUd4iaKHHZySEi50YRWqbTjjF_CYp7kQWHXizhRKgp52GvLwvYSPIlJAuWjbyVw?key=l20fRKns8Xy0YXJeTVJl_A\" alt=\"Oklahoma Schoolboy's ChatGPT Bot Outperforms Russell 2000\"\/><figcaption class=\"wp-element-caption\">Comparison of returns. Data: Decrypt.<\/figcaption><\/figure>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cI constantly saw ads for AI stock pickers on YouTube, claiming \u2018our algorithm analyzes all stocks on the NYSE, etc.\u2019 I started digging and was surprised that no one had yet attempted to fully hand over portfolio management to a <span data-descr=\"large language model\" class=\"old_tooltip\">LLM<\/span>,\u201d Smith said.<\/p>\n<\/blockquote>\n<p>The task was simple: to assemble the strongest possible portfolio of American small-cap stocks (less than $300 million). The goal was to maximize returns from June 27 to July 27.<\/p>\n<p>The algorithm was given full autonomy.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cThe AI literally manages everything. Position sizes, stop-losses, etc. \u2014 I don\u2019t interfere,\u201d Smith noted.<\/p>\n<\/blockquote>\n<p>He calculated the risk levels. The <a href=\"https:\/\/ru.wikipedia.org\/wiki\/%D0%9A%D0%BE%D1%8D%D1%84%D1%84%D0%B8%D1%86%D0%B8%D0%B5%D0%BD%D1%82_%D0%A8%D0%B0%D1%80%D0%BF%D0%B0#:~:text=%D0%9A%D0%BE%D1%8D%D1%84%D1%84%D0%B8%D1%86%D0%B8%D0%B5%D0%BD%D1%82%20%D0%A8%D0%B0%D1%80%D0%BF%D0%B0%20%E2%80%94%20%D0%BF%D0%BE%D0%BA%D0%B0%D0%B7%D0%B0%D1%82%D0%B5%D0%BB%D1%8C%20%D1%8D%D1%84%D1%84%D0%B5%D0%BA%D1%82%D0%B8%D0%B2%D0%BD%D0%BE%D1%81%D1%82%D0%B8%20%D0%B8%D0%BD%D0%B2%D0%B5%D1%81%D1%82%D0%B8%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D0%BE%D0%B3%D0%BE,%D1%80%D0%B8%D1%81%D0%BA%20%D0%BA%20%D1%81%D1%80%D0%B5%D0%B4%D0%BD%D0%B5%D0%BC%D1%83%20%D0%BE%D1%82%D0%BA%D0%BB%D0%BE%D0%BD%D0%B5%D0%BD%D0%B8%D1%8E%20%D0%BF%D0%BE%D1%80%D1%82%D1%84%D0%B5%D0%BB%D1%8F\">Sharpe Ratio<\/a> was 0.9413, indicating high risk, while the <a href=\"https:\/\/ru.wikipedia.org\/wiki\/%D0%9A%D0%BE%D1%8D%D1%84%D1%84%D0%B8%D1%86%D0%B8%D0%B5%D0%BD%D1%82_%D0%A1%D0%BE%D1%80%D1%82%D0%B8%D0%BD%D0%BE\">Sortino Ratio<\/a> was 2.0021, suggesting good growth potential with limited drawdowns.<\/p>\n<p>One of ChatGPT&#8217;s successful decisions was purchasing CADL, which contributed about 50% of the portfolio&#8217;s total profit.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cIt sold CADL without hesitation. I think the AI correctly understood that in microcaps, profits can vanish in an instant. Not every hedge fund would dare to take such a step,\u201d Smith said.<\/p>\n<\/blockquote>\n<p>The young man created five main functions:<\/p>\n<ul class=\"wp-block-list\">\n<li>manual buying\/selling of new stocks;<\/li>\n<li>portfolio processing for tracking trades;<\/li>\n<li>daily result calculations via Yahoo Finance;<\/li>\n<li>generating comparison charts with the S&#038;P 500 index.<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cHonestly, it\u2019s all quite simple. The system pulls prices through the <span data-descr=\"application programming interface\" class=\"old_tooltip\">API<\/span> of Yahoo Finance and analyzes data using Pandas,\u201d he noted.<\/p>\n<\/blockquote>\n<p>ChatGPT selects stocks once a week, adhering to the capitalization limit, while the young man executes trades and records results. He plans to extend the experiment until December.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cIt seems I\u2019ve found my calling in life and I really hope to make it my profession,\u201d Smith concluded.<\/p>\n<\/blockquote>\n<p>Back in February 2024, institutional investors <a href=\"https:\/\/u1f987.com\/en\/news\/institutional-traders-anticipate-greater-ai-role-in-trading\">predicted<\/a> more active use of AI in trading.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A schoolboy from rural Oklahoma entrusted ChatGPT with managing $100, achieving a return that significantly outpaced the market, reports Decrypt. Nathan Smith&#8217;s experiment began four weeks ago with a simple idea: to give artificial intelligence full control over a portfolio of small-cap stocks and observe the outcome. The return was 23.8%, while during the same [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":25737,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"","news_style_id":"","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,1201,1267],"class_list":["post-25738","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-chatbots","tag-cryptocurrency-trading"],"aioseo_notices":[],"amp_enabled":true,"views":"207","promo_type":"","layout_type":"","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/25738","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/comments?post=25738"}],"version-history":[{"count":0,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/25738\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media\/25737"}],"wp:attachment":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media?parent=25738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/categories?post=25738"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/tags?post=25738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}