Application of Large Language Models in Financial Markets
Quantitative traders are exploring whether Large Language Models (LLMs), successful in natural language, can predict financial time series. Challenges include high noise-to-signal ratio, less structured data, and active competition. However, techniques like multimodal learning, residualization, and synthetic data generation show promise.
OpenAI
Hudson River Trading
The Gradient27.07 · 18:05