Quantitative_Trading_-_How_To_Build_Your_Own_Algorithmic_Trading_Business,_Second_Edition_(Wiley_Trading)_Hardcover_By_Ernest_Chan(Original_Book)
Quantitative_Trading_-_How_To_Build_Your_Own_Algorithmic_Trading_Business,_Second_Edition_(Wiley_Trading)_Hardcover_By_Ernest_Chan(Original_Book)
Quantitative_Trading_-_How_To_Build_Your_Own_Algorithmic_Trading_Business,_Second_Edition_(Wiley_Trading)_Hardcover_By_Ernest_Chan(Original_Book)__undefined__undefined
Quantitative Trading - How To Build Your Own Algorithmic Trading Business, ..More

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Product Information

Brand

Pagify


Ideal For

Reading


Material

Paper


Country Of Origin

India


Pack Of

1


Author

Ernest P. Chan


Genre

Analysis & Strategy


Isbn

9780000000000


Page Count

272


Product Type

Book

Product Description


  • Premium Quality: Quantitative Trading: How to Build Your Own Algorithmic Trading Business, Second Edition is an original hardcover by Ernest Chan, founder and chief scientific officer of Predictnow.ai, a machine learning SaaS and consultancy specialising in risk management and adaptive optimisation.

  • About the Author: Ernest Chan began his career as a machine learning researcher at IBM's T.J. Watson Research Center's Human Language Technologies group and was among the first employees of Morgan Stanley's AI group, giving him deep expertise across both academic research and institutional finance.

  • Product Design: Part of the respected Wiley Trading series, this 272-page hardcover edition is printed on quality paper and carries ISBN 9781119800064, making it a definitive and durable reference for quantitative finance practitioners.

  • User Experience: The book provides a practical, step-by-step framework for building an algorithmic trading business, drawing on the author's extensive experience in quantitative research and fund management to guide readers through real-world implementation.

  • Versatile Occasion: Suitable for independent traders, finance professionals, data scientists, and students looking to apply machine learning and quantitative methods to financial markets.

  • Ideal For: Ideal for anyone seeking a rigorous yet accessible guide to algorithmic trading strategies, backtesting, and the business infrastructure required to trade systematically at a professional level.