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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
Python
Tools
Pandas
Concepts
Databases
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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

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Exercises

Use the stock_analysis package to complete the following exercises. Unless otherwise noted, use data from 2019 through the end of 2020. In case there are any issues collecting the data with the StockReader class, backup CSV files are provided in the exercises/ directory:

  1. Using the StockAnalyzer and StockVisualizer classes, calculate and plot three levels of support and resistance for Netflix's closing price.
  2. With the StockVisualizer class, look at the effect of after-hours trading on the FAANG stocks:

    a) As individual stocks

    b) As a portfolio using the make_portfolio() function from the stock_analysis.utils module

  3. Using the StockVisualizer.open_to_close() method, create a plot that fills the area between the FAANG stocks' opening price (as a portfolio) and its closing price each day in red if the price declined and in green if the price increased. As a bonus, do the same for a portfolio of bitcoin and the S&P 500.
  4. Mutual funds and exchange...
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Hands-On Data Analysis with Pandas - Second Edition
Published in: Apr 2021Publisher: PacktISBN-13: 9781800563452
© 2021 Packt Publishing Limited All Rights Reserved

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

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