The ABCs of NLP: How Trading Firms Used NLP to Navigate 2020

This year, natural language processing came to the fore in capital markets, helping firms of all kinds parse huge, unstructured datasets.

This year, investors discovered that the fancy algorithms they were using to drive alpha, which used long histories of data to build understanding of markets, failed spectacularly in the extreme context of the pandemic, forcing a reassessment of these models.

Desperate times call for new ways of understanding the world, and many asset managers and banks turned to alternative data—everything and anything from air quality indexes to traffic jam counts to social media posts, and of course

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