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Mastering pandas for Finance by Michael Heydt

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Summary

In this chapter, we took an adventure into learning the fundamentals of algorithmic trading using pandas and Zipline. We started with a little theory to set a framework for understanding how the algorithms would be implemented. From there, we implemented three different trading algorithms using Zipline and dived into the decisions made and their impact on the portfolios as the transactions were executed. Finally, we established a fundamental knowledge of how to simulate markets and make automated trading decisions.

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