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  • Book Overview & Buying Mastering Python for Finance
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Mastering Python for Finance

Mastering Python for Finance

3.3 (7)
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Mastering Python for Finance

Mastering Python for Finance

3.3 (7)

Overview of this book

If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Table of Contents (12 chapters)
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11
Index

Designing and implementing a backtesting system


Now that we have an idea of designing a video game for creating a backtesting trading system, we can begin our object-oriented approach by first defining the required classes for the various components in our trading system.

We are interested in implementing a simple backtesting system to test a mean-reverting strategy. Using the daily historical prices from Google Finance, we will take the closing price of each day to compute the volatility of price returns for a particular stock, using the ticker symbol AAPL as an example. We want to test a theory that if the standard deviation of returns for an elapsed number of days is far from the mean of zero by a particular threshold, a buy or sell signal is generated. When such a signal is indeed generated, a market order is sent to the exchange to be executed at the opening price of the next trading day.

As soon as we open a position, we would like to track our unrealized and realized profits till date...

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83
Tech Concepts
36
Programming languages
73
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Mastering Python for Finance
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