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Python for Algorithmic Trading Cookbook

Recipes for designing, building, and deploying algorithmic trading strategies with Python

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  • 412pages
  • 15 heures de lecture

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The book focuses on using Python libraries to analyze and manipulate free financial market data, enabling readers to develop effective algorithmic trading strategies. It guides readers through the process of transforming data insights into actionable trading algorithms and provides practical steps for deploying these strategies in real trading environments. Ideal for those looking to enhance their trading skills with programming, it combines financial concepts with technical execution.

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Python for Algorithmic Trading Cookbook, Jason Strimpel

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Année de publication
2024
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