{"id":180917,"date":"2026-02-25T23:39:15","date_gmt":"2026-02-25T23:39:15","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/how-i-got-rich-using-ai-trading-bots-working-method-2026\/"},"modified":"2026-02-25T23:39:15","modified_gmt":"2026-02-25T23:39:15","slug":"how-i-got-rich-using-ai-trading-bots-working-method-2026","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/how-i-got-rich-using-ai-trading-bots-working-method-2026\/","title":{"rendered":"How I Got RICH Using AI Trading Bots (working method 2026)"},"content":{"rendered":"<div class=\"youtubomatic-video-container\"><iframe loading=\"lazy\" width=\"580\" height=\"380\" src=\"https:\/\/www.youtube.com\/embed\/Fag2QTB2Vd8?autoplay=1&#038;controls=1&#038;hl=en\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>I ran my Claude Code AI overnight to develop and backtest a trading strategy. This video walks through the results, the iterative improvement process, and the tools used for robust algorithmic development.<\/p>\n<p>I show the overnight backtesting results from Claude Code, detailing the progression from a failing strategy to a refined momentum squeeze system. I analyze in-sample vs. out-of-sample performance, run Monte Carlo bootstrap simulations, and explain key filters like the Wolfpack indicator. Finally, I introduce the SignalSwap platform for strategy development and sharing.<\/p>\n<p>&#8211; Overnight AI-driven strategy development with Claude Code Opus 4.6<br \/>\n&#8211; Validating strategy robustness with Vector BT and Monte Carlo simulations<br \/>\n&#8211; Implementing market filters and the Wolfpack indicator for signals<br \/>\n&#8211; Analyzing CPU performance for rapid backtesting<br \/>\n&#8211; Introduction to the SignalSwap platform for strategy deployment<\/p>\n<p>LINKS:<br \/>\nSignup with this link for Pionex:: <a href=\"https:\/\/www.pionex.com\/en\/sign\/ref\/xOPc43XF\" target=\"_blank\">https:\/\/www.pionex.com\/en\/sign\/ref\/xOPc43XF<\/a><\/p>\n<p>Get My Strategies: <a href=\"https:\/\/whop.com\/tradetactics\/\" target=\"_blank\">https:\/\/whop.com\/tradetactics\/<\/a><\/p>\n<p>Bybit:  <a href=\"https:\/\/partner.bybit.com\/b\/SIGNALSWAP\" target=\"_blank\">https:\/\/partner.bybit.com\/b\/SIGNALSWAP<\/a><\/p>\n<p>Discord (Find the full price data in the video here): <a href=\"https:\/\/discord.gg\/dJ6ZCxENEw\" target=\"_blank\">https:\/\/discord.gg\/dJ6ZCxENEw<\/a><\/p>\n<p>All of my social media links: <a href=\"https:\/\/linktr.ee\/tradingtactics\" target=\"_blank\">https:\/\/linktr.ee\/tradingtactics<\/a><\/p>\n<p>============================================================<br \/>\nYOUTUBE CHAPTERS<br \/>\n============================================================<\/p>\n<p>0: 00 Overnight Cloud Code Trading Results<br \/>\n0: 57 In-Sample vs Out-of-Sample Testing<br \/>\n1: 57 Progressive Strategy Improvements<br \/>\n2: 42 Checking Divergence Between Data Sets<br \/>\n3: 56 Vector BT and Data Processing Setup<br \/>\n4: 53 Final Momentum Squeeze Version Results<br \/>\n6: 18 Setting Up Cloud Code Tools<br \/>\n7: 35 Monte Carlo Simulation Analysis<br \/>\n8: 45 Market Filters and Trading Conditions<br \/>\n10: 35 Wolfpack Indicator Trading Signals<br \/>\n11: 50 When to Trade vs When to Sleep<br \/>\n12: 44 Benefits of Algorithmic Trading Bots<br \/>\n13: 54 CPU Performance and Backtesting Speed<br \/>\n15: 08 Plugging Results into TradingView<br \/>\n15: 54 Optimizing Strategies for Specific Assets<br \/>\n16: 54 Bootstrap Simulation Results<br \/>\n18: 17 Introducing SignalSwap Platform<br \/>\n19: 53 Marketplace with Real Data<br \/>\n20: 46 Revenue Sharing and Bot Quality<br \/>\n21: 39 SignalSwap System Features<br \/>\n22: 48 Conclusion and Next Steps<\/p>\n<p>#algorithmictrading #backtesting #tradingbots #quantitativeanalysis #tradingstrategy<\/p>\n<p>Disclaimer:<br \/>\nThe information provided by Trade Tactics and its affiliates is for educational purposes only and is not intended as investment or trading advice. The user bears sole responsibility for any actions taken based on this information and Trade Tactics and its affiliates will not be held liable for any losses or damages resulting from its use.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I ran my Claude Code AI overnight to develop and backtest a trading strategy. This video walks through the results, the iterative improvement process, and the tools used for robust algorithmic development. I show the overnight backtesting results from Claude Code, detailing the progression from a failing strategy to a refined momentum squeeze system. I analyze in-sample vs. out-of-sample performance, run Monte Carlo bootstrap simulations, and explain key filters like&#8230;<\/p>\n","protected":false},"author":1,"featured_media":180918,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-180917","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How I Got RICH Using AI Trading Bots (working method 2026) - 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\/how-i-got-rich-using-ai-trading-bots-working-method-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How I Got RICH Using AI Trading Bots (working method 2026) - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"I ran my Claude Code AI overnight to develop and backtest a trading strategy. 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