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Hands-On Financial Trading with Python

You're reading from   Hands-On Financial Trading with Python A practical guide to using Zipline and other Python libraries for backtesting trading strategies

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781838982881
Length 360 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Sourav Ghosh Sourav Ghosh
Author Profile Icon Sourav Ghosh
Sourav Ghosh
Jiri Pik Jiri Pik
Author Profile Icon Jiri Pik
Jiri Pik
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to Algorithmic Trading FREE CHAPTER
2. Chapter 1: Introduction to Algorithmic Trading 3. Section 2: In-Depth Look at Python Libraries for the Analysis of Financial Datasets
4. Chapter 2: Exploratory Data Analysis in Python 5. Chapter 3: High-Speed Scientific Computing Using NumPy 6. Chapter 4: Data Manipulation and Analysis with pandas 7. Chapter 5: Data Visualization Using Matplotlib 8. Chapter 6: Statistical Estimation, Inference, and Prediction 9. Section 3: Algorithmic Trading in Python
10. Chapter 7: Financial Market Data Access in Python 11. Chapter 8: Introduction to Zipline and PyFolio 12. Chapter 9: Fundamental Algorithmic Trading Strategies 13. Other Books You May Enjoy Appendix A: How to Setup a Python Environment

Introduction to risk management with PyFolio

Having a risk management system is a fundamental part of having a successful algorithmic trading system.

Various risks are involved in algorithmic trading:

  • Market risk: While all strategies lose money at some point in their life cycle, quantifying risk measures and ensuring there are risk management systems in place can mitigate strategy losses. In some cases, bad risk management can increase trading losses to an extreme and even shut down successful trading firms completely.
  • Regulatory risk: This is the risk that stems from either accidentally or intentionally violating regulations. It is designed to enforce smooth and fair market functionality. Some well-known examples include spoofing, quote stuffing, and banging the close.
  • Software implementation risk: Software development is a complex process and sophisticated algorithmic trading strategy systems are especially complex. Even seemingly minor software bugs can lead...
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