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Articles / Artificial Intelligence / Machine Learning
Posted 19 Aug 2020

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Using Machine Learning to Explain Extreme Price Moves

19 Aug 2020CPOL5 min read
In this article we look at how Refinitiv Labs looks at the real-life challenge faced by equity traders with regards to detecting and responding to unexpected asset price changes.
Understanding extreme asset price changes involves combining price history, news, events and social media data, much of which is only available in the form of unstructured text. By applying machine learning technologies to a real-time data pipeline, Refinitiv Labs has developed a prototype to help traders identify and respond to extreme price moves at pace.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

David_Oliver
United States United States
David is a Senior Data Scientist at Refinitiv Labs London. He has worked in financial services for more than 15 years, at Tier 1 banks and hedge funds, and has a strong interest in using machine learning at the enterprise scale.

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