Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Financial Trading with Python

You're reading from  Hands-On Financial Trading with Python

Product type Book
Published in Apr 2021
Publisher Packt
ISBN-13 9781838982881
Pages 360 pages
Edition 1st Edition
Languages
Authors (2):
Jiri Pik Jiri Pik
Profile icon Jiri Pik
Sourav Ghosh Sourav Ghosh
Profile icon Sourav Ghosh
View More author details
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: Introduction to Algorithmic Trading
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

Learning mean-reversion strategies

Mean-reversion strategies are based on the assumption that some statistics will revert to their long-term mean values.

Bollinger band strategy

The Bollinger band strategy is based on identifying periods of short-term volatility.

It depends on three lines:

  • The middle band line is the simple moving average, usually 20-50 days.
  • The upper band is the 2 standard deviations above the middle base line.
  • The lower band is the 2 standard deviations below the middle base line.

One way of creating trading signals from Bollinger bands is to define the overbought and oversold market state:

  • The market is overbought when the price of the financial asset rises above the upper band and so is due for a pullback.
  • The market is oversold when the price of the financial asset drops below the lower band and so is due to bounce back.

This is a mean-reversion strategy, meaning that long term, the price should remain within...

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 ₹800/month. Cancel anytime