You're reading from Mastering Python for Finance. - Second Edition

Product typeBook

Published inApr 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789346466

Edition2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Financial Technology

Author (1)

James Ma Weiming

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

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Mastering Python for Finance. - Second Edition

Published in: Apr 2019Publisher: PacktISBN-13: 9781789346466

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Author (1)

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.
Read more about James Ma Weiming

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