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Quantitative Trading - How to Build Your Own Algorithmic Trading Business, Second Edition (Hardcover, 2nd Edition) Loot Price: R872
Discovery Miles 8 720
Quantitative Trading - How to Build Your Own Algorithmic Trading Business, Second Edition (Hardcover, 2nd Edition): Ep Chan

Quantitative Trading - How to Build Your Own Algorithmic Trading Business, Second Edition (Hardcover, 2nd Edition)

Ep Chan

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Loot Price R872 Discovery Miles 8 720 | Repayment Terms: R82 pm x 12*

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Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm. You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examples A new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: July 2021
First published: 2021
Authors: Ep Chan
Dimensions: 231 x 159 x 24mm (L x W x T)
Format: Hardcover
Pages: 256
Edition: 2nd Edition
ISBN-13: 978-1-119-80006-4
Categories: Books > Business & Economics > Finance & accounting > Finance > Investment & securities > General
Books > Money & Finance > Investment & securities > General
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LSN: 1-119-80006-4
Barcode: 9781119800064

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