AI-powered bitcoin trading : developing an investment strategy with artificial intelligence /
Artificial intelligence-powered bitcoin trading
Eoghan Leahy.
- Hoboken, New Jersey : John Wiley & Sons Inc ; 2024.
- v, 168 pages : illustrations ; 24 cm
"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.