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Algorithmic Short Selling with Python

You're reading from   Algorithmic Short Selling with Python Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801815192
Length 376 pages
Edition 1st Edition
Languages
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Author (1):
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Laurent Bernut Laurent Bernut
Author Profile Icon Laurent Bernut
Laurent Bernut
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Table of Contents (17) Chapters Close

Preface The Stock Market Game 10 Classic Myths About Short Selling FREE CHAPTER Take a Walk on the Wild Short Side Long/Short Methodologies: Absolute and Relative Regime Definition The Trading Edge is a Number, and Here is the Formula Improve Your Trading Edge Position Sizing: Money is Made in the Money Management Module Risk is a Number Refining the Investment Universe The Long/Short Toolbox Signals and Execution Portfolio Management System Other Books You May Enjoy
Index
Appendix: Stock Screening

Import libraries

We start with importing standard libraries. pathlib has been commented out. If you wish to save CSV files somewhere on your computer or a server, you can use libraries such as pathlib or os.

# Appendix 
# Data manipulation
import pandas as pd
import numpy as np
from scipy.signal import *
# import pathlib
# Data download
import yfinance as yf
# Data visualisation
%matplotlib inline
import matplotlib.pyplot as plt 

This was, of course, profoundly Earth shattering—we will use the ensuing momentary lapse of reason to swiftly proceed to the next step.

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