Description

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.

Quantitative Trading: How to Build Your Own Algorithmic Trading Business

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Hardback by Ernest P. Chan

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Description:

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 16/09/2021
    ISBN13: 9781119800064, 978-1119800064
    ISBN10: 1119800064

    Number of Pages: 256

    Non Fiction , Business, Finance & Law

    Description

    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.

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