(Tutorial) Python For Finance: Algorithmic Trading

By DataCamp Community - 2021-02-05

Description

PYTHON for FINANCE introduces you to ALGORITHMIC TRADING, time-series data, and other common financial analyses!

Summary

  • community datacamp Python For Finance: That way, the statistic is continually calculated as long as the window falls first within the dates of the time series.
  • However, note that most of them will soon be deprecated, so it’s best to use a combination of the functions rolling() with mean() or std(),… Depending of course on which type of moving window you want to calculate exactly.
  • Considering all of this, you see that it’s definitely a skill to get the right window size based upon the data sampling frequency.

 

Topics

  1. Stock (0.29)
  2. Backend (0.26)
  3. Database (0.14)

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