In this chapter, we took an adventure into learning the fundamentals of algorithmic trading using pandas and Zipline. We started with a little theory to set a framework for understanding how the algorithms would be implemented. From there, we implemented three different trading algorithms using Zipline and dived into the decisions made and their impact on the portfolios as the transactions were executed. Finally, we established a fundamental knowledge of how to simulate markets and make automated trading decisions.
Mastering Pandas for Finance
By :
Mastering Pandas for Finance
By:
Overview of this book
Table of Contents (16 chapters)
Mastering pandas for Finance
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started with pandas Using Wakari.io
Introducing the Series and DataFrame
Reshaping, Reorganizing, and Aggregating
Time-series
Time-series Stock Data
Trading Using Google Trends
Algorithmic Trading
Working with Options
Portfolios and Risk
Index
Customer Reviews