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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

Product type Paperback

Published in Apr 2015

Publisher Packt

ISBN-13 9781784394516

Length 340 pages

Edition 1st Edition

Languages

Python

Concepts

Data Science

Table of Contents (12) Chapters

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

Index

A

algorithmic trading
- about / Introduction to algorithmic trading
- trading platforms, with public API / List of trading platforms with public API
- programming languages, selecting / Which is the best programming language to use?
- system functionalities / System functionalities
algorithmic trading, with Interactive Brokers' and IbPy
- Interactive Brokers Trader Workstation, obtaining / Getting Interactive Brokers' Trader WorkStation
algorithmic trading, with Interactive Brokers and IbPy
- about / Algorithmic trading with Interactive Brokers and IbPy
- IB API wrapper, obtaining / Getting IbPy – the IB API wrapper
- simple order routing mechanism / A simple order routing mechanism
algorithms, using in backtesting
- about / Discussion of algorithms in backtesting
- k-means clustering algorithm / K-means clustering
- k-nearest neighbor (KNN) / K-nearest neighbor machine learning algorithm
- classification and regression tree (CART) analysis / Classification...

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