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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

How to work with fundamental data

Fundamental data pertains to the economic drivers that determine the value of securities. The nature of the data depends on the asset class:

  • For equities and corporate credit, it includes corporate financials as well as industry and economy-wide data.
  • For government bonds, it includes international macro-data and foreign exchange.
  • For commodities, it includes asset-specific supply-and-demand determinants, such as weather data for crops.

We will focus on equity fundamentals for the US, where data is easier to access. There are some 13,000+ public companies worldwide that generate 2 million pages of annual reports and 30,000+ hours of earnings calls. In algorithmic trading, fundamental data and features ...

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Publisher Resources

ISBN: 9781789346411Supplemental Content