AI-Powered Bitcoin Trading
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AI-Powered Bitcoin Trading
AI-Powered Bitcoin Trading
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 analysing markets and creating fully automated AI-optimized trading systems.
AI-Powered Bitcoin Trading outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analysing asset prices and then applies them to Bitcoin prices. It demonstrates 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 optimisation methods are presented, with a special emphasis placed on the use of distributed genetic algorithms for parameter optimisation.
Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBotβ’ combines human insight with AI-driven optimisation to build profitable trend trading strategies.
Book Details
INFORMATION
ISBN: 9781119661177
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 23 May 2024
Country: United States
Imprint: John Wiley & Sons Inc
Audience: General / adult
DIMENSIONS
Spine width: 23.0mm
Width: 158.0mm
Height: 231.0mm
Weight: 363g
Pages: 176
About the Author
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, βThe Quarterly - Global Cross Asset Overviewβ 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 masterβs degree in international business from the UCD Smurfit Business School, and an MSc in High Performance Computing from Trinity College Dublin.
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