{"product_id":"algorithmic-trading-ai-ml-r","title":"Algorithmic Trading via AI\/Machine Learning with R","description":"\u003ch3\u003e\u003cstrong\u003eAuthors\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eJason Guevara, Ričards Bulavs, Oskars Linares\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 9781041264682\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePublished:\u003c\/strong\u003e July 6, 2026\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e Hardcover\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eLanguage:\u003c\/strong\u003e English\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e Chapman \u0026amp; Hall\/CRC Press\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAlgorithmic Trading via AI\/Machine Learning with R demonstrates how algorithmic trading can empower retail traders to compete more effectively in markets long dominated by institutional giants. By translating advanced techniques into practical, systematic strategies, the book shows how automation, disciplined risk management, and data-driven decision making help individuals filter out market noise, avoid manipulation, and exploit opportunities once reserved for large firms. The book turns R into a full research and execution platform, not just a statistical environment, with reproducible examples in every chapter that readers can extend into their own trading and research pipeline. By the end, readers will have built, tested, and connected live strategies to market data.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eClearly structured pedagogical build from foundational R tools to full automation and API integration · Practical framework for levelling the playing field between retail traders and institutional players · All scripts available on the book's GitHub branch · Companion video tutorials via the QuantRoom YouTube channel · Hands-on integration with the Schwab Trader API · Appendix comparing the C++ TWS API with the IBrokers R interface\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eCoverage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eKey AI\/ML R packages and a comparative analysis of Python vs R for algorithmic trading; market data acquisition and storage solutions; trading model and strategy design (trend following, mean reversion, statistical arbitrage, seasonality, volatility breakout, machine learning-based models); backtesting and forward testing methodology; AI\/ML techniques for finance including supervised and unsupervised learning and deep learning; ten detailed case studies; getting started with the Interactive Brokers TWS API; automation and monitoring of live algorithmic trading systems.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eAbout the Authors\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eJason Guevara\u003c\/strong\u003e is a financial analyst and accountant who maintains the QuantRoom YouTube channel dedicated to R scripts for active traders and quants, and does contract work for OIS Market Research Group as an R financial systems architect. He holds a B.S. in Finance from California State University, Northridge, and has programmed in R since 2012.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eRičards Bulavs\u003c\/strong\u003e holds a B.Sc. in Finance from the University of Latvia (2025) and joined the OIS Market Research Group as a Research Associate analysing financial market data and implementing quantitative trading models. He specialises in crafting algorithmic trading strategies in C++, Python, and R.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDr. Oskars Linares\u003c\/strong\u003e is Founder, Research Director, and Quant Strategist at the OIS Market Research Group. He developed the proprietary Minimal-Model (MinMod) used to guide OIS trading operations and has more than 100 peer-reviewed publications to his name, including co-authorship of several books published by Academic Press, Oxford University Press, and CRC Press.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e1. Key AI\/ML R Packages\u003cbr\u003e\n2. Market Data Acquisition\u003cbr\u003e\n3. Trading Models \u0026amp; Strategy Design\u003cbr\u003e\n4. Performance Testing\u003cbr\u003e\n5. AI\/ML for Finance\u003cbr\u003e\n6. Case Studies in AI\/ML-Enhanced Trading Strategies\u003cbr\u003e\n7. Getting Started with the Interactive Brokers TWS API\u003cbr\u003e\n8. Algorithmic Trading: Automation and Monitoring\u003cbr\u003e\n9. QuantRoom Videos \u0026amp; Scripts\u003cbr\u003e\nAppendix A – Comparison of C++ TWS API and R IBrokers Package\u003cbr\u003e\nAppendix B – The R C++ Application Programming Interface (API)\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eWhy buy this book?\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eA rare, fully practical R-based guide to algorithmic trading with AI\/ML, backed by reproducible scripts and a live companion video channel. A strong acquisition for finance and business libraries, quantitative finance programmes, and professionals building or teaching systematic trading strategies.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eKeywords\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003ealgorithmic trading, R programming, machine learning finance, quantitative trading, retail trading, backtesting, Interactive Brokers API, Schwab Trader API, fintech\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eTarget Audience\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eRetail traders, investors and financial analysts, quantitative researchers, finance students, financial systems developers\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eGenre\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eAlgorithmic Trading\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003eQ\u0026amp;A\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eQ: What does \"Algorithmic Trading via AI\/Machine Learning with R\" teach?\u003c\/strong\u003e\u003cbr\u003e\nA: It teaches readers to build, backtest, and deploy algorithmic trading strategies in R, using AI\/ML techniques and live broker APIs such as Interactive Brokers and Schwab Trader.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Do I need prior R experience to use this book?\u003c\/strong\u003e\u003cbr\u003e\nA: The book builds from foundational R tools up to full automation, making it accessible to readers with basic R familiarity who want to progress to live algorithmic trading.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Are the code examples reproducible?\u003c\/strong\u003e\u003cbr\u003e\nA: Yes, every chapter includes reproducible examples, and all scripts are available on the book's GitHub branch.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Which trading strategies are covered?\u003c\/strong\u003e\u003cbr\u003e\nA: Trend following, mean reversion, statistical arbitrage, seasonality, volatility breakout, and machine learning-based approaches, each with backtesting and forward-testing methodology.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Where can I buy Algorithmic Trading via AI\/Machine Learning with R?\u003c\/strong\u003e\u003cbr\u003e\nA: You can purchase it directly from CLNZ Books, with worldwide delivery and institutional invoicing available.\u003c\/p\u003e\n\n\u003ch3\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/clnzbooks.com\/pages\/faq-frequently-asked-questions\" style=\"color:#8B0000;\"\u003e📘 Learn more about shipping, delivery times, and returns, see our FAQ here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/clnzbooks.com\/pages\/how-to-order\"\u003eHow to Order\u003c\/a\u003e\u003c\/p\u003e\n","brand":"Chapman \u0026 Hall\/CRC Press","offers":[{"title":"Default Title","offer_id":44032361365578,"sku":"9781041264682","price":495.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0287\/7351\/5338\/files\/Algorithmic.png?v=1786025485","url":"https:\/\/clnzbooks.com\/products\/algorithmic-trading-ai-ml-r","provider":"CLNZ Books ","version":"1.0","type":"link"}