"Quant market intelligence"--Cover

Includes bibliographical references (pages 155-159) and index.

Chapter 1 The Block of Genesis1

Chapter 2 How Bitcoin Works15

Chapter 3 Valuing Bitcoin35

Chapter 4 Price Analysis for Prediction53

Chapter 5 Artificial Intelligence for Price Prediction65

Chapter 6 Traditional Trading Methods71

Chapter 7 Advanced Trading Techniques79

Chapter 8 Automating Signals and Strategies89

Chapter 9 Backtesting and Optimization105

Chapter 10 The Evolution of Artificial Intelligence119

Chapter 11 Case Study: Bitcoin AlphaBot™135

Chapter 12 Digital Asset Market Outlook145

References155

Author Bio161

Index163

Survive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques. 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.