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size
16 x 2.79 x 23.11 cm
Product Information
Ideal For
General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers
Country Of Origin
India
About Author
Ernest Chan (Ernie) Is The Founder And Chief Scientific Officer Of Predictnow Dot Ai, A Machine Learning Saas And Consultancy For Risk Management And Adaptive Optimization. He Started His Career As A Machine Learning Researcher At Ibms T.J. Watson Research Centers Human Language Technologies Group, Which Produced Some Of The Best-Known Quant Fund Managers. He Was Also One Of The First Few Employees Of Morgan Stanleys Ai Group. He Is The Founder And Non-Executive Chairman Of Qts Capital Management, A Quantitative Cpo/Cta, And The Acclaimed Author Of Several Books On Quantitative Trading, All Published By Wiley. He Obtained His Phd In Physics From Cornell University And His Bs In Physics From The University Of Toronto.
Author Name
Ernest Chan
Genre
Analysis & Strategy
No Of Pages
242
Publisher
Wiley Trading
Isbn Code
9.78E+12
Product Description
- Premium Quality: Quantitative Trading: Build Your Own Algorithmic Trading Business is a 242-page paperback by Ernest Chan, offering a rigorous, practitioner-driven guide to building systematic trading strategies from the ground up.
- About the Author: Ernest Chan is the founder and chief scientific officer of Predictnow.ai, a machine learning SaaS and consultancy for risk management and adaptive optimization, and began his career as a machine learning researcher at IBM's T.J. Watson Research Center's Human Language Technologies group.
- Expert Credentials: Chan was also one of the first few employees of Morgan Stanley's AI group and is the founder and non-executive chairman of QTS Capital Management, a quantitative CPO/CTA, bringing decades of institutional-grade quantitative expertise to this text.
- Versatile Occasion: Suitable for finance professionals, data scientists, algorithmic trading enthusiasts, and college students pursuing careers in quantitative finance or investment management.
- Ideal For: Readers seeking a practical, academically grounded roadmap for building their own algorithmic trading business, whether as a career pivot, entrepreneurial venture, or intellectual pursuit.
- Lifestyle Essential: Published under the respected Wiley Trading imprint and authored by an acclaimed quant practitioner with a PhD in physics from Cornell University, this book stands as an authoritative reference for anyone serious about systematic trading.