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Hands-On Financial Trading with Python

You're reading from  Hands-On Financial Trading with Python

Product type Book
Published in Apr 2021
Publisher Packt
ISBN-13 9781838982881
Pages 360 pages
Edition 1st Edition
Languages
Authors (2):
Jiri Pik Jiri Pik
Profile icon Jiri Pik
Sourav Ghosh Sourav Ghosh
Profile icon Sourav Ghosh
View More author details
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: Introduction to Algorithmic Trading
2. Chapter 1: Introduction to Algorithmic Trading 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

Downloading the complimentary Quandl data bundle

The steps are as follows:

  1. Change the active environment:
    conda activate handson-algorithmic-trading-with-python
  2. Set the QUANDL_API_KEY value if you have not set it up yet via Window's Control Panel or by using .bash_profile or .bashrc.

    For Windows, use the following command:

    SET QUANDL_API_KEY=XXXXXXXX

    For Mac/Linux, use the following command:

    export QUANDL_API_KEY=XXXXXXXX
  3. Ingest the data:
    zipline ingest -b quandl

    Note

    You don't need to download this bundle repeatedly. The data is no longer being updated.

Once you have set up the environment, follow these steps:

  1. Change the current directory to the cloned GitHub repository.
  2. Change the active environment:
    conda activate handson-algorithmic-trading-with-python
  3. Launch Jupyter Lab, like so:
    jupyter lab 
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