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Automated Trading with R - Quantitative Research and | Christopher Conlan | Apress

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Algorithmic Trading

Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. 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. 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. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser.

Full source code and step-by-step explanation for a plug-and-play trading platform; the platform can be used in independent simulation, brokerage-assisted simulation, or end-to-end production trading Includes lengthy tables and descriptions of performance metrics, indicators, rule sets, and brokerage plans, helping users get to production quicker Includes performance assessments of popular strategies implemented on multi-asset portfolios, allowing users to swap components to customize, research, and deploy automated strategies see more benefits.

About this book Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Table of contents 13 chapters Fundamentals of Automated Trading Conlan, Chris Pages Networking Part I Conlan, Chris Pages Data Preparation Conlan, Chris Pages Indicators Conlan, Chris Pages Rule Sets Conlan, Chris Pages High-Performance Computing Conlan, Chris Pages Simulation and Backtesting Conlan, Chris Pages Optimization Conlan, Chris Pages Networking Part II Conlan, Chris Pages Organizing and Automating Scripts Conlan, Chris Pages Looking Forward Conlan, Chris Pages Source Code Conlan, Chris Pages Scoping in Multicore R Conlan, Chris Pages Services for this book Download High-Resolution Cover.

Bibliographic Information Bibliographic Information Book Title Automated Trading with R Book Subtitle Quantitative Research and Platform Development Authors Christopher Conlan Copyright Publisher Apress Copyright Holder Chris Conlan eBook ISBN DOI Write for Us Write Submit a proposal Publishing process Documents for Current Authors. Company About Us Blog Events News Publishing Partners Contact Us Team.