Augmenting Investment Analysts with Data Science

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19 February 2019

Fundamental investing consists in building a thesis of how the world spins and where it is heading, and then identifying relevant investments that are aligned with the strategic vision. The second part can be quite tedious as it implies combing through the financial metrics of hundreds to thousands of corporations that fit within the strategy to identify investments that are under or over priced to then buy or sell respectively. This article will show how it is possible to fit a Machine Learning model to a fundamental investment strategy in order to allow analysts do scale their investment thesis in a transparent and interpretable way.

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Geographic Focus
Asia-Pacific, EMEA, LATAM, North America