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Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

How to conduct inference with statsmodels

We will illustrate how to use logistic regression with statsmodels based on a simple built-in dataset containing quarterly US macro data from 1959 – 2009 (see the notebook logistic_regression_macro_data.ipynb for detail).

The variables and their transformations are listed in the following table:

Variable

Description

Transformation

realgdp

Real gross domestic product

Annual Growth Rate

realcons

Real personal consumption expenditures

Annual Growth Rate

realinv

Real gross private domestic investment

Annual Growth Rate

realgovt

Real federal expenditures and gross investment

Annual Growth Rate

realdpi

Real private disposable income

Annual Growth Rate

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Publisher Resources

ISBN: 9781789346411