Authors:
- Provides technical analysis of patterns in stocks and commodities
- Showcases how to build successful trading models that work
- Observes and analyses how to start out trading as a professional, and how to trade and profit successfully in the long run
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
This Palgrave Pivot innovatively combines new methods and approaches to building dynamic trading systems to forecast future price direction in today’s increasingly difficult and volatile financial markets. The primary purpose of this book is to provide a structured course for building robust algorithmic trading models that forecast future price direction.
Chan provides insider information and insights on trading strategies; her knowledge and experience has been gained over two decades as a trader in foreign exchange, stock and derivatives markets. She guides the reader to build, evaluate, and test the predictive ability and the profitability of abnormal returns of new hybrid forecasting models.
Authors and Affiliations
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University of Malaya, Kuala Lumpur, Malaysia
Jacinta Chan
About the author
Jacinta Chan, PhD in Financial Statistics, is with the Faculty of Business and Accountancy at the University of Malaya, Malaysia. She shares her knowledge and skills gained over two decades as a forex dealer, equity research analyst, product development officer of the futures exchange and senior Vice President of the sales and dealing derivatives desk of a financial institution with her students in universities and trading courses all over the world.
Bibliographic Information
Book Title: Automation of Trading Machine for Traders
Book Subtitle: How to Develop Trading Models
Authors: Jacinta Chan
DOI: https://doi.org/10.1007/978-981-13-9945-9
Publisher: Palgrave Pivot Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-9944-2Published: 16 December 2019
eBook ISBN: 978-981-13-9945-9Published: 02 December 2019
Edition Number: 1
Number of Pages: XX, 130
Number of Illustrations: 1 b/w illustrations, 10 illustrations in colour