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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
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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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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

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...

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