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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

Enriching plots with colors, markers, and line styles

Colors, markers, and lines styles make charts easier to understand.

The code block that follows plots four different functions and uses the following parameters to modify the appearance:

  • The color= parameter is used to assign colors.
  • The linewidth= parameter is used to change the width/thickness of the lines.
  • The marker= parameter assigns different shapes to mark the data points.
  • The markersize= parameter changes the size of those markers.
  • The alpha= parameter is used to modify the transparency.
  • The drawstyle= parameter changes the default line connectivity to step connectivity between data points for one plot.

The code is as follows:

fig, (ax1, ax2, ax3, ax4) = plt.subplots(4, 
                                    ...
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