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Test Driven Python Development

You're reading from   Test Driven Python Development Develop high-quality and maintainable Python applications using the principles of test-driven development

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781783987924
Length 264 pages
Edition 1st Edition
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Author (1):
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Siddharta Govindaraj Siddharta Govindaraj
Author Profile Icon Siddharta Govindaraj
Siddharta Govindaraj
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Test-Driven Development FREE CHAPTER 2. Red-Green-Refactor – The TDD Cycle 3. Code Smells and Refactoring 4. Using Mock Objects to Test Interactions 5. Working with Legacy Code 6. Maintaining Your Test Suite 7. Executable Documentation with doctest 8. Extending unittest with nose2 9. Unit Testing Patterns 10. Tools to Improve Test-Driven Development A. Answers to Exercises B. Working with Older Python Versions Index

A dual crossover moving average


In the previous chapter, we wrote a method to check for an increasing trend. We will take that example forward in this chapter by developing a method to check for a dual crossover moving average.

A dual crossover moving average (DMAC) is a simple indicator to show the short-term trend of a stock compared to a long-term trend.

The following figure shows how the DMAC works:

Consider a stock, with closing prices as shown above. First, we calculate two moving average trends. The short-term (5-day) moving average is calculated by taking the moving average for a short number of days. The long-term moving average is calculated by taking the moving average for a longer number of days, for example the moving average of the last 10 days.

When we plot the values of the long- term and short-term moving average graphs, we see that at certain points, the short-term graph crosses from below the long-term to above the long-term graph. This point represents a Buy Signal. At other...

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