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Trading Energy and Metal Futures with Machine Learning & Event Detection

Peter Hafez shows how to use machine learning and systematic event detection techniques to trade energy and metal futures.

The emergence of big data in finance has had a major impact on equities trading. However, other asset classes have seen less of an impact, since fewer alternative data sets are available to support them.

In recent years this has changed with the proliferation of various social media sources and with the development of more advanced knowledge graphs that supports global macro themes.

Recorded at RavenPack's 5th Annual Research Symposium, that took place September 19, 2017 in New York City.

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