July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Exercises
Use the stock_analysis package to complete the following exercises. Unless otherwise noted, use data from 2017 through to the end of 2018:
- Using the StockAnalyzer, calculate and plot three levels of support and resistance for Netflix's closing price from 2017-2018.
- With the StockVisualizer, look at the effect of after-hours trading on the FAANG stocks:
- As individual stocks
- As a portfolio using the make_portfolio() function from stock_analysis.utils
- 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 ...
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