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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

Implementing a Backtesting System

A backtest is a simulation of a model-driven investment strategy's response to historical data. While working on designing and developing a backtest, it would be helpful to think in terms of the concept of creating video games.

In this chapter, we will design and implement an event-driven backtesting system using an object-oriented approach. The resulting profits and losses of our trading model may be plotted on to a graph to help visualize the performance of our trading strategy. However, is this sufficient enough to determine whether it is a good model?

There are many concerns to be addressed in backtesting—for example, the effects of transaction costs, execution latency of orders, access to detailed transactions, and quality of historical data. Notwithstanding these factors, the primary goal of creating a backtesting system is to...

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