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Mastering Python for Finance

You're reading from   Mastering Python for Finance Implement advanced state-of-the-art financial statistical applications using Python

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789346466
Length 426 pages
Edition 2nd Edition
Languages
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Author (1):
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James Ma Weiming James Ma Weiming
Author Profile Icon James Ma Weiming
James Ma Weiming
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started with Python
2. Overview of Financial Analysis with Python FREE CHAPTER 3. Section 2: Financial Concepts
4. The Importance of Linearity in Finance 5. Nonlinearity in Finance 6. Numerical Methods for Pricing Options 7. Modeling Interest Rates and Derivatives 8. Statistical Analysis of Time Series Data 9. Section 3: A Hands-On Approach
10. Interactive Financial Analytics with the VIX 11. Building an Algorithmic Trading Platform 12. Implementing a Backtesting System 13. Machine Learning for Finance 14. Deep Learning for Finance 15. Other Books You May Enjoy

Building a mean-reverting algorithmic trading system

With our broker now accepting orders and responding to our requests, we can begin to design a fully-automated trading system. In this section, we will explore how to design and implement a mean-reverting algorithmic trading system.

Designing the mean-reversion algorithm

Suppose we believe that in normal market conditions, prices fluctuate, but tend to revert back to some short-term level, such as the average of the most recent prices. In this example, we assume that the EUR/USD currency pair is exhibiting a mean-reversion property in the near short-term period. First, we resample the raw tick-level data into standard time series intervals, for example, at one-minute intervals...

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