Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801815192
Length 376 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Laurent Bernut Laurent Bernut
Author Profile Icon Laurent Bernut
Laurent Bernut
Arrow right icon
View More author details
Toc

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

Robustness score

"Masala: a varying blend of spices used in Indian cooking."

– Merriam Webster dictionary

The Grit Index, Common Sense Ratio, and Van Tharp's SQN all measure robustness. The Grit Index is probably the most elegant and accessible metric for non-finance people. The CSR is a good canary in the coal mine to ferret out dodgy mean reversion strategies. SQN is a solid staple measure of quality. They all do the job. They measure a specific aspect of robustness:

  1. The Grit Index integrates losses throughout the period. It gives an accurate vision of performance of all aspects of downside: magnitude, frequency, and duration.
  2. The CSR combines risks endemic to the two types of strategies in a single measure. It shows how risk is balanced for each metric.
  3. The t-stat SQN incorporates trading frequency into the trading edge formula to show the most efficient use of capital.

Yet, after publicly railing against...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image