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Algorithmic Short Selling with Python: Refine your algorithmic trading edge, con

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All net proceeds will support Goodwill of Colorado

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
ISBN
9781801815192

About this product

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1801815194
ISBN-13
9781801815192
eBay Product ID (ePID)
2321473702

Product Key Features

Book Title
Algorithmic Short Selling with Python : Refine Your Algorithmic Trading Edge, Consistently Generate Investment Ideas, and Build a Robust Long/Short Product
Number of Pages
376 Pages
Language
English
Topic
Personal Finance / Investing, Finance / General, Programming Languages / Python, Investments & Securities / General
Publication Year
2021
Genre
Computers, Business & Economics
Author
Laurent Bernut
Format
Trade Paperback

Dimensions

Item Length
3.6 in
Item Width
3 in

Additional Product Features

Intended Audience
Trade
Table Of Content
Table of Contents The Stock Market Game 10 Classic Myths About Short-Selling 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 Appendix
Synopsis
This book will take you on a journey from an idea ("buy bullish stocks, sell bearish ones") to becoming part of the elite club of long/short algorithmic traders. Along the way, we will explore several key concepts, such as trading edge, frequency, signal processing, trading psychology, capital efficiency, risk management, and asset allocation, ..., Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways markets Key Features: Understand techniques such as trend following, mean reversion, position sizing, and risk management in a short-selling context Implement Python source code to explore and develop your own investment strategy Test your trading strategies to limit risk and increase profits Book Description: If you are in the long/short business, learning how to sell short is not a choice. Short selling is the key to raising assets when the markets are down. This book will help you demystify and rehabilitate the short-selling craft, providing Python source code to construct a robust long/short portfolio. It explains everything you have ever read about short selling from a long-only perspective. This book will take you on a journey from an idea ("buy bullish stocks, sell bearish ones") to becoming part of the elite club of long/short hedge fund algorithmic traders. You'll explore key concepts such as trading psychology, trading edge, regime definition, signal processing, position sizing, risk management, and asset allocation, one obstacle at a time. Along the way, you'll will discover simple methods to consistently generate investment ideas, and consider variables that impact returns, volatility, and overall attractiveness of returns. By the end of this book, you'll not only become familiar with some of the most sophisticated concepts in capital markets, but also have Python source code to construct a long/short product that investors are bound to find attractive. What You Will Learn: Develop the mindset required to win the infinite, complex, random game called the stock market Demystify short selling in order to make consistent profits from bull, bear, and sideways markets Generate ideas consistently on both sides of the portfolio Implement Python source code to engineer a statistically robust trading edge Perform superior risk management for high returns Build a long/short product that investors will find appealing Who this book is for: This is a book by a practitioner for practitioners. It is designed to benefit a wide range of people, including long/short market participants, quantitative participants, proprietary traders, commodity trading advisors, retail investors (pro retailers, students, and retail quants), and long-only investors. At least 2 years of active trading experience, intermediate-level experience of the Python programming language, and basic mathematical literacy (basic statistics and algebra) are expected., Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways markets Key Features Understand techniques such as trend following, mean reversion, position sizing, and risk management in a short-selling context Implement Python source code to explore and develop your own investment strategy Test your trading strategies to limit risk and increase profits Book Description If you are in the long/short business, learning how to sell short is not a choice. Short selling is the key to raising assets under management. This book will help you demystify and hone the short selling craft, providing Python source code to construct a robust long/short portfolio. It discusses fundamental and advanced trading concepts from the perspective of a veteran short seller. This book will take you on a journey from an idea ("buy bullish stocks, sell bearish ones") to becoming part of the elite club of long/short hedge fund algorithmic traders. You'll explore key concepts such as trading psychology, trading edge, regime definition, signal processing, position sizing, risk management, and asset allocation, one obstacle at a time. Along the way, you'll will discover simple methods to consistently generate investment ideas, and consider variables that impact returns, volatility, and overall attractiveness of returns. By the end of this book, you'll not only become familiar with some of the most sophisticated concepts in capital markets, but also have Python source code to construct a long/short product that investors are bound to find attractive. What you will learn Develop the mindset required to win the infinite, complex, random game called the stock market Demystify short selling in order to generate alpa in bull, bear, and sideways markets Generate ideas consistently on both sides of the portfolio Implement Python source code to engineer a statistically robust trading edge Develop superior risk management habits Build a long/short product that investors will find appealing Who this book is for This is a book by a practitioner for practitioners. It is designed to benefit a wide range of people, including long/short market participants, quantitative participants, proprietary traders, commodity trading advisors, retail investors (pro retailers, students, and retail quants), and long-only investors. At least 2 years of active trading experience, intermediate-level experience of the Python programming language, and basic mathematical literacy (basic statistics and algebra) are expected.
LC Classification Number
HG6041

Item description from the seller

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