{"id":241216,"date":"2026-07-03T11:45:21","date_gmt":"2026-07-03T11:45:21","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/i-built-a-btc-strategy-using-ai-in-coinquant-full-backtest\/"},"modified":"2026-07-03T11:45:21","modified_gmt":"2026-07-03T11:45:21","slug":"i-built-a-btc-strategy-using-ai-in-coinquant-full-backtest","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/i-built-a-btc-strategy-using-ai-in-coinquant-full-backtest\/","title":{"rendered":"I Built a BTC Strategy Using AI in CoinQuant [Full Backtest]"},"content":{"rendered":"<div class=\"youtubomatic-video-container\"><iframe loading=\"lazy\" width=\"580\" height=\"380\" src=\"https:\/\/www.youtube.com\/embed\/pD1gDYnLRu0?autoplay=1&#038;controls=1&#038;hl=en\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>A regime-adaptive BTC strategy stayed positive across nearly every tested year, and the full 2018\u20132026 backtest reached 215% with a 22% max drawdown.<\/p>\n<p>This video breaks down the exact BTC system logic, how it switches between trending and ranging conditions, and what the CoinQuant AI backtest actually showed year by year. I also point out a real exit-condition issue in the test so you can judge the results with the right amount of skepticism.<\/p>\n<p>What you&#8217;ll see in this video:<br \/>\n\u2192 The BTC one-hour strategy built and backtested in CoinQuant AI<br \/>\n\u2192 How ADX acts as the regime filter between trend and range modes<br \/>\n\u2192 The five classic indicators used in the system logic<br \/>\n\u2192 The exact take profit and stop loss setup at 5.5% and 1.5%<br \/>\n\u2192 Year-by-year backtest results from 2019 onward<br \/>\n\u2192 The full-period result of 215% return with 22% max drawdown<br \/>\n\u2192 Why one backtest detail may affect the exit accuracy<\/p>\n<p>\u2554\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2550\u2566\u2550\u2566\u2550\u2566\u2550\u2550\u2566\u2550\u2566\u2550\u2566<br \/>\n\ud83d\udd17 Resources &#038; Links:<br \/>\n&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<br \/>\n\u2022 Try CoinQuant For FREE: <a href=\"https:\/\/app.coinquant.ai\/?ref=nZtzOwut\" target=\"_blank\">https:\/\/app.coinquant.ai\/?ref=nZtzOwut<\/a><br \/>\n\u2022 My Algorithmic Trading Courses \u2192 <a href=\"https:\/\/codetradingcafe.com\" target=\"_blank\">https:\/\/codetradingcafe.com<\/a><br \/>\n\u2022 My Book: \u201cAlgorithmic Trading with Python\u201d \u2192  <a href=\"https:\/\/a.co\/d\/6woMBHt\" target=\"_blank\">https:\/\/a.co\/d\/6woMBHt<\/a><br \/>\n\u255a\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569\u2550\u2569<\/p>\n<p>If you want more AI trading builds and backtests, just tell me which asset I should test next.<br \/>\n#aitrading  #machinelearning  #trading  #btc <\/p>\n<p>\u25b8 CHAPTERS<br \/>\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<br \/>\n  0: 00  Profitable Every Year<br \/>\n  1: 22  ADX Regime Switch<br \/>\n  2: 05  Trend Entry Rules<br \/>\n  4: 04  Range Mode Setup<br \/>\n  5: 03  Exits And Platform Issue<br \/>\n  6: 25  Performance Metrics Review<br \/>\n  7: 55  Year By Year Backtests<br \/>\n  11: 02  Full Period Results<br \/>\n  12: 03  Strategy Takeaways<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A regime-adaptive BTC strategy stayed positive across nearly every tested year, and the full 2018\u20132026 backtest reached 215% with a 22% max drawdown. This video breaks down the exact BTC system logic, how it switches between trending and ranging conditions, and what the CoinQuant AI backtest actually showed year by year. I also point out a real exit-condition issue in the test so you can judge the results with the&#8230;<\/p>\n","protected":false},"author":1,"featured_media":241217,"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-241216","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>I Built a BTC Strategy Using AI in CoinQuant [Full Backtest] - 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\/i-built-a-btc-strategy-using-ai-in-coinquant-full-backtest\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"I Built a BTC Strategy Using AI in CoinQuant [Full Backtest] - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"A regime-adaptive BTC strategy stayed positive across nearly every tested year, and the full 2018\u20132026 backtest reached 215% with a 22% max drawdown. This video breaks down the exact BTC system logic, how it switches between trending and ranging conditions, and what the CoinQuant AI backtest actually showed year by year. 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