If you just started using Python to analyze historical stock prices with the aim of visualizing trends and build investment strategies, or if you are a more experienced coder tired to use loops, you should stick around and learn how to improve your scripts with the reduce() function.

For instance, let’s suppose you selected a number of stock tickers and your task was to download the historical adjusted close prices for each company and merge them in a unique clean dataset similar to the one below:

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