The purpose of this book is to provide a concise yet comprehensive background of some effective methods for analyzing markets and creating fully automated AI-optimized trading systems.
The book outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analyzing asset prices and then apply them to Bitcoin prices, showing how to generate actionable insights from data that can be used to create fully automated trading signals and systems.
Big data analytics can be enhanced with artificial intelligence techniques. Back testing and optimization methods are presented with a special emphasis placed on the use of distributed genetic algorithms for parameter optimization.
Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBot™ combines human insight with AI-driven optimization to build profit table trend trading strategies.
Table of Contents
Chapter 1 The Block of Genesis 1
Chapter 2 How Bitcoin Works 15
Chapter 3 Valuing Bitcoin 35
Chapter 4 Price Analysis for Prediction 53
Chapter 5 Artificial Intelligence for Price Prediction 65
Chapter 6 Traditional Trading Methods 71
Chapter 7 Advanced Trading Techniques 79
Chapter 8 Automating Signals and Strategies 89
Chapter 9 Backtesting and Optimization 105
Chapter 10 The Evolution of Artificial Intelligence 119
Chapter 11 Case Study: Bitcoin AlphaBot 135
Chapter 12 Digital Asset Market Outlook 145
References 155
Author Bio 161
Index 163