Mastering Python for Finance (inbunden)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
340
Utgivningsdatum
2015-04-29
Upplaga
ed
Förlag
Packt Publishing Limited
Illustrationer
black & white illustrations
Dimensioner
235 x 190 x 16 mm
Vikt
603 g
Antal komponenter
1
Komponenter
3:B&W 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Gloss Lam
ISBN
9781784394516

Mastering Python for Finance

Understand, Design, and Implement State-of-the Art Mathematical and Statistical Applications Used in Finance With Python

av James Ma Weiming
Häftad,  Engelska, 2015-04-29
673
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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.

Passar bra ihop

  1. Mastering Python for Finance
  2. +
  3. Careless People

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Övrig information

James Ma Weiming works with high-frequency, low-latency trading systems, writing his own programs and tools, most of which are open sourced. He is currently supporting veteran traders in the, trading pits of the Chicago Board of Trade devising strategies to game the market. He graduated from the Stuart School of Business at Illinois Institute of Technology with a master of science degree in finance. He started his career in Singapore after receiving his bachelor's degree in computer engineering from Nanyang Technological University and diploma in information technology from Nanyang Polytechnic. During his career, he has worked in treasury operations handling foreign exchange and fixed income products. He also developed mobile applications with a company operating a funds and investments distribution platform.

Innehållsförteckning

  1. Python for Financial Applications
  2. Is Python for me?
  3. Objected-oriented versus functional programming
  4. Which Python version should I use?
  5. Introducing IPython
  6. Summary
  7. The Importance of Linearity in Finance
  8. Nonlinearity in Finance
  9. Numerical Procedures
  10. Interest Rates and Derivatives
  11. Interactive Financial Analytics with Python and VSTOXX
  12. Big Data with Python
  13. Algorithmic Trading
  14. Backtesting
  15. Excel with Python

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