Machine Learning for Trading

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A comprehensive introduction to how ML can add value to the design and execution of algorithmic trading strategies

View the Project on GitHub stefan-jansen/machine-learning-for-trading

Data Sources used in the book

We will use freely available historical data from market, fundamental and alternative sources. Chapter 2, Market and Fundamental Data and Chapter 3, Alternative Data for Finance cover characteristics and access to these data sources and introduce key providers that we will use throughout the book.

A few sample data sources that we will source and work with include, among others:

How to source the Data

There are several notebooks that guide you through the data sourcing process:

In addition, instructions to obtain data sources for specific applications are provided in the relevant directories and notebooks.