Hudson River Trading

Applying Large Language Models in Financial Markets

Large language models successfully model word sequences, but attempts to apply them to stock price prediction face fundamental limitations: financial time series contain much noise and little signal, and competition among traders makes markets nearly efficient. Nevertheless, promising directions include multimodal learning, synthetic data, and analysis of extreme events.

OpenAI Hudson River Trading