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Update README.md
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JerBouma authored Aug 15, 2023
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Expand Up @@ -310,7 +310,7 @@ stock_data_biotech = yf.download(tickers, start="2020-01-01", end="2020-06-01")[
stock_data_biotech = stock_data_biotech.dropna(axis='columns')
````

Next up I initialise subplots and loop over all collected tickers. Here, I create a new temporary DataFrame that I fill
Next up I initialize subplots and loop over all collected tickers. Here, I create a new temporary DataFrame that I fill
with the adjusted close prices of the ticker as well as the Bollinger Bands. Then I plot the data in one of
the subplots.

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