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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

Key metrics

There is a large number of valuation proxies computed from fundamental data. These factors can be combined as inputs into a machine learning valuation model to predict prices. We will see examples of how some of these factors are used in practice in the following chapters:

Factor

Description

Cash flow yield

The ratio divides the operational cash flow per share by the share price. A higher ratio implies better cash returns for shareholders (if paid out using dividends or share buybacks, or profitably reinvested in the business).

Free cash flow yield

The ratio divides the free cash flow per share, which reflects the amount of cash available for distribution after necessary expenses and investments, by the share ...

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Publisher Resources

ISBN: 9781789346411Supplemental Content