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Mastering Python for Finance

You're reading from Mastering Python for Finance Implement advanced state-of-the-art financial statistical applications using Python

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781789346466

Length 426 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Financial Technology

Author (1):

James Ma Weiming

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: Getting Started with Python

2. Overview of Financial Analysis with Python FREE CHAPTER

3. Section 2: Financial Concepts

4. The Importance of Linearity in Finance

5. Nonlinearity in Finance

6. Numerical Methods for Pricing Options

7. Modeling Interest Rates and Derivatives

8. Statistical Analysis of Time Series Data

9. Section 3: A Hands-On Approach

10. Interactive Financial Analytics with the VIX

11. Building an Algorithmic Trading Platform

12. Implementing a Backtesting System

13. Machine Learning for Finance

14. Deep Learning for Finance

15. Other Books You May Enjoy

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Section 3: A Hands-On Approach

In this section, we will apply the theoretical concepts covered in Section 1, Getting Started with Python and Section 2, Financial Concepts to build fully-functional working systems.

This section will contain the following chapters:

Chapter 7, Interactive Financial Analytics with VIX
Chapter 8, Building an Algorithmic Trading Platform
Chapter 9, Implementing a Backtesting System
Chapter 10, Machine Learning for Finance
Chapter 11, Deep Learning for Finance

The rest of the chapter is locked

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Authors (1)

James Ma Weiming

James Ma Weiming

James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.

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