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Acquire Free Financial Market Data with Cutting-Edge Python Libraries
A May 2017 Economist cover declared data to be the world’s most valuable resource. It’s none truer than in algorithmic trading. As algorithmic traders, it’s our job to acquire and make sense of billions of rows of market data for use in trading algorithms. In this context, it’s crucial to gather high-quality, reliable data that can adequately support trading algorithms and market research. Luckily for us, it’s possible to acquire high-quality data for free (or nearly free).
This chapter offers recipes for a series of different Python libraries—including the cutting-edge OpenBB Platform—to acquire free financial market data using Python. One of the primary challenges most ...
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