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AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial In

Description: FREE SHIPPING UK WIDE AI-Powered Bitcoin Trading by Eoghan Leahy 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Author Biography EOGHAN LEAHY is the Founder and CEO of Quant Market Intelligence Limited, an AI-powered trading and research company. Previously working as the quant strategy and cryptocurrency product specialist at Bloomberg LP, he has helped hedge funds, sovereign wealth funds, and treasury departments back-test and automate trading strategies. Leahy helped Bloomberg become the top-rated platform for data visualization and technical analysis. He created and edited a popular Bloomberg publication, "The Quarterly - Global Cross Asset Overview" which won several industry awards. In 2016 he delivered the first series of cryptocurrency seminars in the EMEA region for Bloomberg clients. He also collaborated internally on the early phases of BloombergGPT. He holds a BASc in economics from University College Dublin, a masters degree in international business from the UCD Smurfit Business School, and an MSc in High Performance Computing from Trinity College Dublin. 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 Details ISBN111966117X Short Title Know When to HODL, Know When to FODL Language English ISBN-10 111966117X ISBN-13 9781119661177 Format Hardcover DEWEY 332.178 Publisher John Wiley & Sons Inc Imprint John Wiley & Sons Inc Place of Publication New York Country of Publication United States NZ Release Date 2023-06-27 UK Release Date 2024-02-13 Year 2024 Author Eoghan Leahy Audience General Pages 176 Subtitle Developing an Investment Strategy with Artificial Intelligence Publication Date 2024-05-23 US Release Date 2024-05-23 AU Release Date 2024-06-24 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:160107744;

Price: 38.79 GBP

Location: London

End Time: 2025-01-09T06:50:23.000Z

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AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial In

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Format: Hardcover

Language: English

ISBN-13: 9781119661177

Author: Eoghan Leahy

Type: NA

Book Title: AI-Powered Bitcoin Trading

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