Data Scientist Christopher Conlan Releases New Method for Automating Trading “Automated Trading with R”

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Book gives traders new tools to work with brokerages.

Christopher Conlan's book Automated Trading with R, published by APress

"Automated Trading with R provides automated traders with all the tools they need to trade algorithmically with their existing brokerage," said Christopher Conlan

APress, a Springer Nature publishing company dedicated to meeting the information needs of developers, IT professionals, and tech communities worldwide, announces the release of “Automated Trading with R” by author Chris Conlan, Independent Data Scientist.

“This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution,” said Conlan. “Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional trading platform.”

"Automated Trading with R" provides automated traders with all the tools they need to trade algorithmically with their existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. If your brokerage’s API is supported, the source code is plug-and-play.

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

For more information on “Automated Trading with R” http://chrisconlan.com/book

About Christopher Conlan
Chris Conlan began his career as an independent data scientist specializing in trading algorithms. He attended the University of Virginia where he completed his undergraduate statistics coursework in three semesters. During his time at UVA, he secured initial fundraising for a privately held high-frequency forex group as president and chief trading strategist. He is currently managing the development of private technology companies in high-frequency
forex, machine vision, and dynamic reporting. http://www.chrisconlan.com

About APress
Apress, a Springer Nature company, is a publisher dedicated to meeting the information needs of developers, IT professionals, and tech communities worldwide. Our high-quality, practical content helps technology professionals at all levels increase the skills they need to advance in their day-to-day work. Key topics on our list of over 2,500 titles include big data, databases, open source, web development, Java, Python, Apple & Swift, and of course there is Apress’ well-known line of Microsoft and .NET titles.

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