{"id":288972,"date":"2026-10-02T15:26:37","date_gmt":"2026-10-02T15:26:37","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/machine-learning-for-trading-a-0-71-correlation-that-was-pure-illusion-it-dropped-to-0-01\/"},"modified":"2026-10-02T15:26:37","modified_gmt":"2026-10-02T15:26:37","slug":"machine-learning-for-trading-a-0-71-correlation-that-was-pure-illusion-it-dropped-to-0-01","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/machine-learning-for-trading-a-0-71-correlation-that-was-pure-illusion-it-dropped-to-0-01\/","title":{"rendered":"Machine Learning for Trading: A 0.71 Correlation That Was Pure Illusion (It Dropped to 0.01)"},"content":{"rendered":"<div class=\"youtubomatic-video-container\"><iframe loading=\"lazy\" width=\"580\" height=\"380\" src=\"https:\/\/www.youtube.com\/embed\/P0EpRlb-4_k?autoplay=1&#038;controls=1&#038;hl=en\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>Machine learning for trading: two halves of the data agree with a correlation of 0.71. Split them so that one price move cannot land in both halves, and it drops to 0.01. The trap of overlapping signals, on 40,955 real signals.<\/p>\n<p>\ud83d\udcda Free courses with full code and data for subscribers of my Telegram channel Data Lab: <a href=\"https:\/\/t.me\/lavrinenko_data\" target=\"_blank\">https:\/\/t.me\/lavrinenko_data<\/a><\/p>\n<p>\ud83c\udf93 The full course on Udemy, \u201cAI Forex Trading Bot with Machine Learning, Python &#038; MT5\u201d: <a href=\"https:\/\/www.udemy.com\/course\/build-a-machine-learning-trading-bot-in-python\/?referralCode=59ABEDBF83EA5E7A1812\" target=\"_blank\">https:\/\/www.udemy.com\/course\/build-a-machine-learning-trading-bot-in-python\/?referralCode=59ABEDBF83EA5E7A1812<\/a><br \/>\n\ud83d\udcd8 My other courses on Udemy:<br \/>\n\u2022 Forex Algorithmic Trading: Backtesting Strategies in Python: <a href=\"https:\/\/www.udemy.com\/course\/test-it-before-you-trade-it-backtests-without-curve-fitting\/?referralCode=AAFD579BEC179990057A\" target=\"_blank\">https:\/\/www.udemy.com\/course\/test-it-before-you-trade-it-backtests-without-curve-fitting\/?referralCode=AAFD579BEC179990057A<\/a><br \/>\n\u2022 Forex Risk Management &#038; Position Sizing for Trading Robots: <a href=\"https:\/\/www.udemy.com\/course\/forex-risk-management-position-sizing-for-trading-robots\/?referralCode=90AEC80D7222F92C6E93\" target=\"_blank\">https:\/\/www.udemy.com\/course\/forex-risk-management-position-sizing-for-trading-robots\/?referralCode=90AEC80D7222F92C6E93<\/a><\/p>\n<p>Chapters:<br \/>\n0: 00 Intro: 0.71 that drops to 0.01<br \/>\n0: 12 The split-half check<br \/>\n0: 53 A convincing picture<br \/>\n1: 19 Signals come in ladders<br \/>\n1: 48 Each half gets copies of the same moves<br \/>\n2: 19 One signal per move: 0.01<br \/>\n2: 50 The same trap in significance tests<br \/>\n3: 26 Rows are not independent<br \/>\n3: 47 Split by time, not by row<br \/>\n4: 17 What to test next<\/p>\n<p>I&#8217;m Vasyl Lavrinenko. For more than 20 years I&#8217;ve been building trading systems for real investors, and my Expert Advisors have won awards at international trading competitions. On this channel I test trading ideas on real market data and show what actually works, and what doesn&#8217;t.<\/p>\n<p>\ud83d\udcac Which idea should I test next? Tell me in the comments.<br \/>\n\ud83d\udd14 Subscribe and turn on notifications, so you don\u2019t miss the next analysis.<\/p>\n<p>Topics: machine learning trading bot in Python, AI trading bot for forex, algorithmic trading with Python, MT5 expert advisor programming, Python trading strategy, machine learning algo trading.<br \/>\n#tradingbot #machinelearning #forex<\/p>\n<p>Educational content only, not financial advice. Trading involves a risk of loss.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning for trading: two halves of the data agree with a correlation of 0.71. Split them so that one price move cannot land in both halves, and it drops to 0.01. The trap of overlapping signals, on 40,955 real signals. \ud83d\udcda Free courses with full code and data for subscribers of my Telegram channel Data Lab: https:\/\/t.me\/lavrinenko_data \ud83c\udf93 The full course on Udemy, \u201cAI Forex Trading Bot with Machine&#8230;<\/p>\n","protected":false},"author":1,"featured_media":288973,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","tve_updated_post":"","tve_custom_css":"","tve_user_custom_css":"","tve_globals":{},"tcb2_ready":0,"tcb_editor_enabled":0,"tve_landing_page":"","_tve_header":"","_tve_footer":""},"categories":[1],"tags":[],"class_list":["post-288972","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Machine Learning for Trading: A 0.71 Correlation That Was Pure Illusion (It Dropped to 0.01) - UshopWell.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ushopwell.com\/ublog\/machine-learning-for-trading-a-0-71-correlation-that-was-pure-illusion-it-dropped-to-0-01\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine Learning for Trading: A 0.71 Correlation That Was Pure Illusion (It Dropped to 0.01) - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"Machine learning for trading: two halves of the data agree with a correlation of 0.71. Split them so that one price move cannot land in both halves, and it drops to 0.01. 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