Skip main navigation

Exercise: Predicting Amazon stock movement

In this exercise, we will use the LSTM network to predict the short-term movement of Amazon stock on a small set of high-frequency order book data.
Note that the section below contains external content and is not managed by FutureLearn. Interacting with the content may require or result in personal data transfer to this external website; FutureLearn advises you to check the external website’s privacy policy before use.

This GitHub link for predicting stock price movement using RNN will direct you to GitHub Classroom, where you can accept the assignment to apply LSTM network to high-frequency data of Amazon stock.

This article is from the free online

An Introduction to Machine Learning in Quantitative Finance

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now