Quantitative Trading: How to Build Your Own Algorithmic Trading Business Audiolibro Por Ernest P. Chan arte de portada

Quantitative Trading: How to Build Your Own Algorithmic Trading Business

Wiley Trading

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Quantitative Trading: How to Build Your Own Algorithmic Trading Business

De: Ernest P. Chan
Narrado por: James Gillies
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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.

This audiobook is expertly narrated by James Gillies and was produced and published by Echo Point Books & Media, an independent bookseller in Brattleboro, Vermont. Audio engineering by Matthew Kulewicz, MPSE.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2021 Ernest P. Chan (P)2024 Echo Point Books and Media, LLC
Análisis y Estrategia Inversiones y Comercio Inventario Ciencias de la computación Aprendizaje automático
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I bought this book because I thought it would be current and relevant given the author and copyright date. Truth is it was mostly written a while ago and is largely out-of-date. The recent copyright is misleading since I learned after purchase that it is not a first edition. It seemed barely refreshed. I was very disappointed.

Old, mostly out-of-date book

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