{"product_id":"automated-trading-with-r-quantitative-research-and-platform-development","title":"Automated Trading with R: Quantitative Research and Platform Development","description":"Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play.\n\nAutomated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform.\nThe platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software components are strictly decoupled and easily scalable, providing opportunity to substitute any data source, trading algorithm, or brokerage. This book will:\nProvide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders\nOffer an understanding of the internal mechanisms of an automated trading system\nStandardize discussion and notation of real-world strategy optimization problems\n\nWhat You Will Learn\nUnderstand machine-learning criteria for statistical validity in the context of time-series Optimize strategies, generate real-time trading decisions, and minimize computation time while programming an automated strategy in R and using its package library\nBest simulate strategy performance in its specific use case to derive accurate performance estimates\nUnderstand critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capital\n\nWho This Book Is For\nTraders\/practitioners at the retail or small fund level with at least an undergraduate background in finance or computer science; graduate level finance or data science students\u003cbr\u003eASIN: 148422177X\u003cbr\u003eVSKU: BVV.148422177X.G\u003cbr\u003eCondition: Good\u003cbr\u003eAuthor\/Artist:Conlan, Chris\u003cbr\u003eBinding: Paperback\u003cbr\u003e\u003cb\u003eNote:\u003c\/b\u003e Any images shown are stock photographs and product may differ from what is shown.  \u003cbr\u003e\u003cb\u003eCondition Notes\u003c\/b\u003e: The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact  including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.  \u003cbr\u003e","brand":"Blue Vase Books","offers":[{"title":"Default Title","offer_id":43331463708733,"sku":"BVV.148422177X.G","price":19.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0589\/4225\/9261\/files\/148422177X-0.jpg?v=1783550287","url":"https:\/\/www.bluevasebooks.com\/products\/automated-trading-with-r-quantitative-research-and-platform-development","provider":"Blue Vase Books","version":"1.0","type":"link"}