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Computational Finance

30 May 2019

AI in Finance: Constructing a Trading Strategy Using Deep Learning

In this article, you will note the ease with which you can train and validate a neural network, and then see how this is applied by means of a trading strategy. By simple manipulations of historical data, we can leverage the flexibility of deep learning in MATLAB to generate future predictions of time series data, with reasonable precision.

13 May 2019

AI in Finance – Trading: Clustering

Pairs trading is a popular trading strategy. However, it can be shrouded in statistics. By leveraging the strengths of MATLAB’s machine learning and statistics capabilities, you too can formulate your own pairs trading strategies.  In this example, we examine 300 stocks from the S&P 500 and group them into clusters of stocks such that each […]

27 Mar 2019

AI in Finance – Risk Management: Classifying Credit Card Default

AI For Risk Management: Classifying Credit Card Default

In this article, we explore machine learning models using MATLAB which aim to classify whether or not somebody will default on their credit card payment in the next 30 days. We develop models which are instinctive to understand and able to be quickly prototyped and improved. We provide a live script for you to get started immediately with model development.

05 Mar 2019

AI in Finance – FOREX: Algorithmic Trading

Learn how easy Machine Learning in MATLAB is for FOREX Algorithmic Trading. Read how supervised machine learning can be used to identify trading signals. Download the code and get started creating your own models right away.

18 Oct 2017

MATLAB in the Finance Industry

The video presents an overview of how MATLAB can add value to the Finance Industry as an all-in-one platform that supports the entire computational finance workflow.