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Hands-On Data Analysis with Pandas

You're reading from   Hands-On Data Analysis with Pandas A Python data science handbook for data collection, wrangling, analysis, and visualization

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800563452
Length 788 pages
Edition 2nd Edition
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Author (1):
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Stefanie Molin Stefanie Molin
Author Profile Icon Stefanie Molin
Stefanie Molin
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Getting Started with Pandas
2. Chapter 1: Introduction to Data Analysis FREE CHAPTER 3. Chapter 2: Working with Pandas DataFrames 4. Section 2: Using Pandas for Data Analysis
5. Chapter 3: Data Wrangling with Pandas 6. Chapter 4: Aggregating Pandas DataFrames 7. Chapter 5: Visualizing Data with Pandas and Matplotlib 8. Chapter 6: Plotting with Seaborn and Customization Techniques 9. Section 3: Applications – Real-World Analyses Using Pandas
10. Chapter 7: Financial Analysis – Bitcoin and the Stock Market 11. Chapter 8: Rule-Based Anomaly Detection 12. Section 4: Introduction to Machine Learning with Scikit-Learn
13. Chapter 9: Getting Started with Machine Learning in Python 14. Chapter 10: Making Better Predictions – Optimizing Models 15. Chapter 11: Machine Learning Anomaly Detection 16. Section 5: Additional Resources
17. Chapter 12: The Road Ahead 18. Solutions
19. Other Books You May Enjoy Appendix

Technical analysis of financial instruments

With technical analysis of assets, metrics (such as cumulative returns and volatility) are calculated to compare various assets to each other. As with the previous two sections in this chapter, we will be writing a module with classes to help us. We will need the StockAnalyzer class for technical analysis of a single asset and the AssetGroupAnalyzer class for technical analysis of a group of assets. These classes are in the stock_analysis/stock_analyzer.py file.

As with the other modules, we will start with our docstring and imports:

"""Classes for technical analysis of assets."""
import math
from .utils import validate_df

The StockAnalyzer class

For analyzing individual assets, we will build the StockAnalyzer class, which calculates metrics for a given asset. The following UML diagram shows all the metrics that it provides:

Figure 7.19 – Structure of the StockAnalyzer...

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