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Python and Data Science in Trading

Python and Data Science in Trading

In 2021, the use of Python for data analysis and trading strategy automation became even more consolidated. Libraries like Pandas, NumPy, and Scikit-learn allow creating sophisticated analyses and even machine learning models for the financial market.

Tips:

  • Use Jupyter Notebooks to explore data.
  • Automate reports and backtests.
  • Experiment with machine learning to predict trends.

Python is an indispensable tool for modern traders!

This post is licensed under CC BY 4.0 by the author.