Reader small image

You're reading from  Hands-On Data Analysis with Pandas - Second Edition

Product typeBook
Published inApr 2021
Reading LevelIntermediate
PublisherPackt
ISBN-139781800563452
Edition2nd Edition
Languages
Tools
Concepts
Right arrow
Author (1)
Stefanie Molin
Stefanie Molin
author image
Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more about Stefanie Molin

Right arrow

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...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Hands-On Data Analysis with Pandas - Second Edition
Published in: Apr 2021Publisher: PacktISBN-13: 9781800563452

Author (1)

author image
Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more about Stefanie Molin