developing an investment strategy with artificial intelligence Leahy, Eoghan creator text nju Hoboken, New Jersey John Wiley & Sons Inc 2024 monographic eng v, 168 pages : illustrations ; 24 cm 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. 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 Eoghan Leahy. "Quant market intelligence"--Cover Includes bibliographical references (pages 155-159) and index. Inversiones Innovaciones tecnológicas Inteligencia artificial Aplicaciones financieras Bitcoin (Moneda electrónica) Criptomonedas HG 1710.3 L434a 2024 9781119661177 (hbk.) 111966117X (hbk.) 251201 20260915105840.0 eng