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Hands-On Financial Trading with Python

You're reading from   Hands-On Financial Trading with Python A practical guide to using Zipline and other Python libraries for backtesting trading strategies

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781838982881
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Sourav Ghosh Sourav Ghosh
Author Profile Icon Sourav Ghosh
Sourav Ghosh
Jiri Pik Jiri Pik
Author Profile Icon Jiri Pik
Jiri Pik
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to Algorithmic Trading
2. Chapter 1: Introduction to Algorithmic Trading FREE CHAPTER 3. Section 2: In-Depth Look at Python Libraries for the Analysis of Financial Datasets
4. Chapter 2: Exploratory Data Analysis in Python 5. Chapter 3: High-Speed Scientific Computing Using NumPy 6. Chapter 4: Data Manipulation and Analysis with pandas 7. Chapter 5: Data Visualization Using Matplotlib 8. Chapter 6: Statistical Estimation, Inference, and Prediction 9. Section 3: Algorithmic Trading in Python
10. Chapter 7: Financial Market Data Access in Python 11. Chapter 8: Introduction to Zipline and PyFolio 12. Chapter 9: Fundamental Algorithmic Trading Strategies 13. Other Books You May Enjoy Appendix A: How to Setup a Python Environment

Installing Zipline and PyFolio

We recommend setting up the development environment as described in Appendix A. Nevertheless, the detailed instructions are given in the following sections.

Installing Zipline

For performance reasons, Zipline is closely dependent on a particular version of Python and its related libraries. Therefore, the best way to install it is to create a conda virtual environment and install Zipline there. We recommend using Anaconda Python for this.

Let's create a virtual environment called zipline_env with Python 3.6 and install the zipline package:

conda create -n zipline_env python=3.6
conda activate zipline_env
conda install -c conda-forge zipline

We will now install PyFolio.

Installing PyFolio

You can install the pyfolio package via pip:

pip install pyfolio

As we can see, installing PyFolio is also an easy task.

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