Financial Market Applications of LLMs

This article explores the intersection of Large Language Models (LLMs) and financial markets, focusing on their potential to transform quantitative trading. It discusses how LLMs, known for their prowess in language-related tasks, are being considered for price and trade prediction in the financial sector. The comparison of data volume between GPT-3 training and stock market data, multi-modal AI applications in finance, and the concept of 'residualisation' in both AI and finance are highlighted. The piece also delves into challenges such as the unpredictability of market data and the potential for creating synthetic data to enhance trading strategies.

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