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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

Which is the best programming language to use?


With many choices of programming languages available to interface with brokers or vendors, the question that comes naturally to anyone starting out in algorithmic trading platform development is: which language should I use?

Well, the short answer is that there is really no best programming language. How your product will be developed, the performance metrics to follow, the costs involved, latency threshold, risk measures, and the expected user interface are pieces of the puzzle to be taken into consideration. The risk manager, execution engine, and portfolio optimizer are some major components that will affect the design of your system. Your existing trading infrastructure, choice of operating system, programming language compiler capability, and available software tools poses further constraints on the system design, development, and deployment.

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