Unlock alpha with advanced sentiment analysis using Financial News

Produced by Corvus Research

Download our latest white paper developed in collaboration with Corvus Research where we explore the potential of Real-Time News data feeds alongside Natural Language Processing (NLP) techniques.

In today’s fast-paced financial landscape, staying ahead of the market requires cutting-edge tools and insights. Historically, news data has been a trusted source for generating mid-frequency trading alpha. However, with the rapid advancements in NLP, the potential to extract even more value from news data has never been greater.

Our latest white paper, "Unlock alpha with advanced sentiment analysis using Financial News", explores how combining LSEG’s Machine Readable News data feed with state-of-the-art Large Language Models (LLMs) for signal generation can unlock new opportunities for alpha.

This comprehensive study reveals:

What steps can be taken to go from raw news data to tokenised data?
How can news signals be used to drive or augment investment strategies?
How can the challenges in application of LLMs be overcome?

Download the full white paper by completing the form

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