ChatGPT May Rival Flash Boys in Transforming Markets
Large language models have the potential to understand what drives asset prices — and change financial behavior forever.
Mix-and-match markets.
Photographer: Michael Nagle/Bloomberg
Large language models, such as ChatGPT, are threatening to disrupt most areas of life and work. Financial trading is no exception. The potential for LLMs to understand markets rather than just recognize patterns sets them apart from earlier versions of machine learning and artificial intelligence that have failed to achieve much notable trading success.
The basic problem is that financial prices are nearly all noise, they are very close to random walks. Lots of smart people and algorithms conspire to eliminate any signal that can be used for profit. It’s like trying to understand text that is deliberately written to be misleading. Traditional AI is more successful when signals are stronger relative to noise.
Before we get deeper into what sets modern LLMs apart, let me lay out why you should care, even if you have no interest in computerized financial trading. Trading is the foundation of finance and even small changes in mechanisms exert profound effects on the market, which translate into profound economic consequences.
