Predicting the French Election

The French election was of great interest to the financial world, because of the chance of large movements on the currency markets. The project involved a large number of interested parties, including several distinct hedge funds, who needed personalised models. Data was gathered from several different hedge funds and held securely on SherlockML.

An ever-evolving dataset of live results was simple to deal with collaboratively for the Data Scientists using SherlockML. They were able to work side by side in the workspace, collaborating extensively (with access to the same dataset) while maintaining their own folders and workstreams.

In order to report to the hedge funds, Jupyter Notebooks were converted to SherlockML Reports at the touch of a button, containing graphs and markdown (and code if desired).

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