Skip to Content
Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning
book

Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning

by Peng Liu
September 2023
Beginner to intermediate
341 pages
9h 41m
English
Apress
Content preview from Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
P. LiuQuantitative Trading Strategies Using Pythonhttps://doi.org/10.1007/978-1-4842-9675-2_4

4. Understanding Risk and Return

Peng Liu1  
(1)
Singapore, Singapore
 

Any financial asset is characterized by its risk and return. Return means the financial reward it brings, such as the percentage increase in the asset value. We hope to maximize the percentage return of the asset as much as possible. However, a higher reward often comes with higher risk, where risk refers to the volatility of such return. That is, an asset displays high oscillations in its historical returns, making its future outlook more uncertain than, say, a stable product with little deviation ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python for Data Analysis, 3rd Edition

Python for Data Analysis, 3rd Edition

Wes McKinney
Practical Statistics for Data Scientists, 2nd Edition

Practical Statistics for Data Scientists, 2nd Edition

Peter Bruce, Andrew Bruce, Peter Gedeck

Publisher Resources

ISBN: 9781484296752Purchase LinkPublisher Website