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_1

1. Quantitative Trading: An Introduction

Peng Liu1  
(1)
Singapore, Singapore
 

Quantitative trading, also called algorithmic trading, refers to automated trading activities that buy or sell particular instruments based on specific algorithms. Here, an algorithm can be considered a model that transforms an input into an output. In this case, the input includes sufficient data to make a proper trading decision, and the output is the action of buying or selling an instrument. The quality of a trading decision thus relies on the sufficiency of the input data and the suitability ...

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