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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
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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 FREE CHAPTER
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 data points with annotations

The matplotlib.Axes.text(...) method adds a text box to our plots:

ax.text(1, 10000, 'Generated using numpy and matplotlib')
fig

The output is as follows:

Figure 5.8 – Plot displaying Matplotlib text annotations

Figure 5.8 – Plot displaying Matplotlib text annotations

The matplotlib.Axes.annotate(...) method provides more control over the annotations.

The code block that follows uses the following parameters to control the annotation:

  • The xy= parameter specifies the location of the data point.
  • The xytext= parameter specifies the location of the text box.
  • The arrowprops= parameter accepts a dictionary specifying parameters to control the arrow from the text box to the data point.
  • The facecolor= parameter specifies the color and the shrink= parameter specifies the size of the arrow.
  • The horizontalalignment= and verticalalignment= parameters specify the orientation of the text box relative to the data point.

The code...

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