LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage

The below research paper, published at the end of last year, challenges the belief that Large Language Models (LLMs) are not suitable to predict financial market returns due to their unpredictability. Applying the Chronos model, a time-series foundation model, the researchers found that LLMs are able to identify inefficiencies amidst randomness and generate alpha.

Emmanuel Hauptmann

Emmanuel Hauptmann is CIO and Head of Systematic Equities at RAM AI. He co-founded the company in 2007 and has led the development of the firm’s systematic investment and AI platform since.