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Automated Trading with R
Chris Conlan (Taschenbuch, Englisch)
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Beschreibung
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. Automated 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. The 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: Provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders Offer an understanding of the internal mechanisms of an automated trading system Standardize discussion and notation of real-world strategy optimization problems What You Will Learn Understand 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 Best simulate strategy performance in its specific use case to derive accurate performance estimates Understand critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capital Who This Book Is For Traders/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 Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
29.09.2016
Sprache
Englisch
EAN
9781484221778
Herausgeber
APRESS
Sonderedition
Nein
Autor
Chris Conlan
Seitenanzahl
205
Einbandart
Taschenbuch
Buch Untertitel
Quantitative Research and Platform Development
Schlagwörter
Automated trading, R programming, High-performance computing, Algorithm science, Data science, Numerical optimization, Quantitative finance, Machine learning, System administration, Trading algorithms, Data management
Thema-Inhalt
UMC - Compiler und Übersetzer
UM - Computerprogrammierung und Softwareentwicklung
Höhe
254 mm
Breite
17.8 cm
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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