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
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.
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