Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
ERNEST P. CHAN, PhD, is an expert in the application of statistical models and software for trading currencies, futures, and stocks. He holds a doctorate in theoretical physics from Cornell University and is Managing Member of investment management firm QTS Capital Management and founder of financial machine learning firm Predictnow.ai.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Quantitative Trading : How to Build Your Own Algorithmic Trading Business
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Wiley & Sons, Incorporated, John, 2021
ISBN 10 : 1119800064
ISBN 13 : 9781119800064
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Quantitative Trading : How to Build Your Own Algorithmic Trading Business
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ISBN 10 : 1119800064
ISBN 13 : 9781119800064
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Quantitative Trading - How to Build Your Own Algorithmic Trading Business, Second Edition
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John Wiley and Sons, 2021
ISBN 10 : 1119800064
ISBN 13 : 9781119800064
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Quantitative Trading (Hardcover)
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ISBN 13 : 9781119800064
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Hardcover. Etat : new. Hardcover. 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 examplesA 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781119800064
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Quantitative Trading: How to Build Your Own Algorithmic Trading Business (eng)
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Quantitative Trading
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John Wiley and Sons Inc, US, 2021
ISBN 10 : 1119800064
ISBN 13 : 9781119800064
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Hardback. Etat : New. 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 examplesA 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. N° de réf. du vendeur LU-9781119800064
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Quantitative Trading
Edité par
John Wiley and Sons Inc, US, 2021
ISBN 10 : 1119800064
ISBN 13 : 9781119800064
Neuf
Couverture rigide
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
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Hardback. Etat : New. 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 examplesA 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. N° de réf. du vendeur LU-9781119800064
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