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Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

Data sources

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. The companion GitHub repository (see beneath) contains instructions on how to obtain or create some of the datasets that we will use throughout and includes some smaller datasets.

A few sample data sources that we will source and work with include, but are not limited to:

  • NASDAQ ITCH order book data
  • Electronic Data Gathering, Analysis, and Retrieval (EDGAR) SEC filings
  • Earnings call transcripts from Seeking Alpha
  • Quandl daily prices ...
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Publisher Resources

ISBN: 9781789346411Supplemental Content