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Python for Finance

You're reading from   Python for Finance If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Length 408 pages
Edition 1st Edition
Languages
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Author (1):
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Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction and Installation of Python FREE CHAPTER 2. Using Python as an Ordinary Calculator 3. Using Python as a Financial Calculator 4. 13 Lines of Python to Price a Call Option 5. Introduction to Modules 6. Introduction to NumPy and SciPy 7. Visual Finance via Matplotlib 8. Statistical Analysis of Time Series 9. The Black-Scholes-Merton Option Model 10. Python Loops and Implied Volatility 11. Monte Carlo Simulation and Options 12. Volatility Measures and GARCH Index

Retrieving option data from Yahoo! Finance

There are many sources of option data that we could use for our investments, research, or teaching. One of them is Yahoo! Finance. To retrieve option data for IBM, we have the following procedure:

  1. Go to http://finance.yahoo.com.
  2. Type IBM in the search box (top left-hand side).
  3. Click on Options on the left-hand side.

The web page address of Yahoo! Finance is http://finance.yahoo.com/q/op?s=IBM+Options. The screenshot of this web page is shown as follows:

Retrieving option data from Yahoo! Finance

The following program will download option data from Yahoo! Finance:

>>>from pandas.io.data import Options
>>>ticker='IBM'
>>>x = Options(ticker)
>>>calls, puts = x.get_options_data()

We can use the head() and tail() functions to view the first and last several lines of the retrieved data:

>>>calls.head()
   Strike              Symbol   Last  Chg    Bid    Ask  Vol  Open Int
0     100  IBM140118C00100000  78.25    0  83.65  87.10    2        12
1 ...
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