📈Python for finance series

Feature Engineering

Fractionally Differentiated Features

Ke Gui
The Startup
Published in
16 min readAug 26, 2020

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Photo by Dave Gandy under the Public Domain Dedication License

Warning: There is no magical formula or Holy Grail here, though a new world might open the door for you.

Note 1: How to install mlfinlab package without error messages can be found here.

Note 2: If you are reading Advances in Financial Machine Learning by Marcos Prado. 7. Fractionally Differentiated Features is Chapter 5 about Fractionally Differentiated Features. 8. Data Labelling is Chapter 3 about The Triple-barrier Method. And 9. Meta-labeling is Chapter 3.6 on page 50.

📈Python For Finance Series

  1. Identifying Outliers
  2. Identifying Outliers — Part Two
  3. Identifying Outliers — Part Three
  4. Stylized Facts
  5. Feature Engineering & Feature Selection
  6. Data Transformation
  7. Fractionally Differentiated Features
  8. Data Labelling
  9. Meta-labeling and Stacking

Introduction

Fractional differentiation (or Fractional derivative or Fractional calculus) is a great idea once you understood all the equations. But the first time…

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Ke Gui
The Startup

An ordinary guy who wants to be the reason someone believes in the goodness of people. He is living at Brisbane, Australia, with a lovely backyard.