Getting Started with Algorithmic Trading

A primer for the basic libraries and places to pull data for diving into the world of analyzing trading data in Python

Python has been around for nearly three decades and is still rising in popularity. It’s absolutely something you should learn.

Unfortunately, learning where to start is usually the hardest part of anything, but in this article, we will visit some of the important Python libraries that you can rely on to begin analyzing the various markets. I think you can break down libraries for algorithmic trading into two principal groups:

yfinance — Yahoo! Finance is a great place to pull easy to get market data. The PyPI project has resurrected the library after Yahoo Finance decommissioned the original yfinance library. The library is built off a ‘Ticker’ module that allows easier access to ticker data through methods.

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