AI-Powered Bitcoin Trading

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A01=Eoghan Leahy
Age Group_Uncategorized
Age Group_Uncategorized
Author_Eoghan Leahy
automatic-update
bitcoin
Category1=Non-Fiction
Category=KF
COP=United States
crypto markets
crypto trading
Cryptocurrency
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
how to trade bitcoin
how to trade cryptocurrency
individual bitcoin investor
Language_English
PA=Available
Price_€20 to €50
PS=Active
retail trading
short-term trading
shorting bitcoin
softlaunch
technical analysis

Product details

  • ISBN 9781119661177
  • Weight: 363g
  • Dimensions: 158 x 231mm
  • Publication Date: 23 May 2024
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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.

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 master’s 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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