Python for Algorithmic Trading Cookbook

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Store Financial Market Data on Your Computer

If there’s one thing algorithmic traders cannot get enough of, it’s data. The data that fuels our strategies is more than just numbers—it’s the lifeblood of our decision-making processes. And having data available locally—or at least within your control—is a big part of that. Speed of access and reliability are important reasons why you might want to store data locally. Local data is insulated from internet outages, ensuring that data-driven processes remain uninterrupted. Further, if you need to update a bad price, you can persist the update through time.

In terms of price considerations, local storage offers cost-efficiency benefits over recurring cloud expenses. Storing a few terabytes of data ...