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Python for Finance Cookbook
book

Python for Finance Cookbook

by Eryk Lewinson
January 2020
Beginner to intermediate
432 pages
11h 24m
English
Packt Publishing
Content preview from Python for Finance Cookbook

How it works...

In Step 2, we created a QuantFig object by passing a DataFrame containing the input data, as well as some arguments for the title and legend's position. We could have created a simple candlestick chart by running the iplot method of QuantFig immediately afterward.

However, in Step 3, we also added two moving average lines by using the add_sma/add_ema methods. We decided to consider 20 periods (days, in this case). By default, the averages are calculated using the close column, however, we can change this by providing the column argument.

The difference between the two moving averages is that the exponential one puts more weight on recent prices. By doing so, it is more responsive to new information and reacts faster to any ...

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Publisher Resources

ISBN: 9781789618518