Table of Contents

Overview of Financial Analysis with Python

The Importance of Linearity in Finance

Nonlinearity in Finance

Numerical Methods for Pricing Options

Modeling Interest Rates and Derivates

Statistical Analysis of Time Series Data

Interactive Financial Analytics with VIX

Building an Algorithmic Trading Platform

Implementing a Backtesting System

Machine Learning for Finance

Deep Learning for Finance

About the Author

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.