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

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

by Eoghan Leahy

Narrated by John Keating

Unabridged — 4 hours, 41 minutes

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

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

by Eoghan Leahy

Narrated by John Keating

Unabridged — 4 hours, 41 minutes

Audiobook (Digital)

$12.99
FREE With a B&N Audiobooks Subscription | Cancel Anytime
$0.00

Free with a B&N Audiobooks Subscription | Cancel Anytime

START FREE TRIAL

Already Subscribed? 

Sign in to Your BN.com Account


Listen on the free Barnes & Noble NOOK app


Related collections and offers

FREE

with a B&N Audiobooks Subscription

Or Pay $12.99

Overview

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.

Product Details

BN ID: 2940191761763
Publisher: Ascent Audio
Publication date: 06/11/2024
Edition description: Unabridged
From the B&N Reads Blog

Customer Reviews