Automated Trading with R Quantitative Research and Platform Development /

All the tools you need are provided in this book 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...

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Bibliographic Details
Main Author: Conlan, Chris (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2016.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Part 1: Problem Scope
  • Chapter 1: Fundamentals of Automated Trading
  • Chapter 2: Networking Part I: Fetching Data
  • Part 2: Building the Platform
  • Chapter 3: Data Preparation
  • Chapter 4: Indicators
  • Chapter 5: Rule Sets
  • Chapter 6: High-Performance Computing
  • Chapter 7: Simulation and Backtesting
  • Chapter 8: Optimization
  • Chapter 9: Networking Part II
  • Chapter 10: Organizing and Automating Scripts
  • Part 3: Production Trading
  • Chapter 11: Looking Forward
  • Chapter 12: Appendix A: Source Code
  • Chapter 13: Appendix B: Scoping in Multicore R
  • .