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Mastering Python for Finance

You're reading from   Mastering Python for Finance Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784394516
Length 340 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Python for Financial Applications FREE CHAPTER 2. The Importance of Linearity in Finance 3. Nonlinearity in Finance 4. Numerical Procedures 5. Interest Rates and Derivatives 6. Interactive Financial Analytics with Python and VSTOXX 7. Big Data with Python 8. Algorithmic Trading 9. Backtesting 10. Excel with Python Index

Gathering the EUROX STOXX 50 Index and VSTOXX data


STOXX Limited publishes the historical daily end-of-day index prices on their website at http://www.stoxx.com/data/historical/historical_benchmark.html.

The "STOXX Europe 600 (all regions)" historical daily data can be obtained at http://www.stoxx.com/download/historical_values/hbrbcpe.txt under Benchmark Indices of the Historical Data category of the website. The EURO STOXX 50 Index can be found within this data file.

The VSTOXX historical daily data can be obtained at http://www.stoxx.com/download/historical_values/h_vstoxx.txt. The EURO STOXX 50 Volatility link is found under Strategy Indices of the Historical Data category of the website.

The Python module urllib can be used to interact with the web resources through the urlretrieve function to download data from an external source onto our local disk.

The following Python code lets us download the required data text files onto our destination directory defined by the data_folder variable...

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