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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

List of trading platforms with public API


The following table lists some brokers and trading platform vendors who have their API documentation publicly available:

Broker/vendor

URL

Programming languages supported

Interactive Brokers

https://www.interactivebrokers.com/en/index.php?f=1325

C++, Posix C++, Java, and Visual Basic for ActiveX

E*Trade

https://developer.etrade.com

Java, PHP, and C++

IG

http://labs.ig.com/

REST, Java, FIX, and Microsoft .NET Framework 4.0

Tradier

https://developer.tradier.com

Java, Perl, Python, and Ruby

TradeKing

https://developers.tradeking.com

Java, Node.js, PHP, R, and Ruby

Cunningham trading systems

http://www.ctsfutures.com/wiki/T4%20API%2040.MainPage.ashx

Microsoft .NET Framework 4.0

CQG

http://cqg.com/Products/CQG-API.aspx

C#, C++, Excel, MATLAB, and VB.NET

Trading technologies

https://developer.tradingtechnologies.com

Microsoft .NET Framework 4.0

OANDA

http://developer.oanda.com

REST, Java, FIX, and MT4

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