We investigate the trading strategies of retail investors by applying LLMs to analyze messages posted by users on StockTwits.
LLMs manifest common behavioral biases when forecasting expected returns but are better at gauging risks than humans.
Tweets posted via smartphones predict next-day returns and news, suggesting smartphones facilitate rapid access to information.