PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative Finance
Researchers introduce PandaAI, a neuro-symbolic AI agent combining Large Language Models with financial domain expertise to improve sequential decision-making in quantitative finance. The system demonstrates 18.2% higher Rank IC and 25.7% lower maximum drawdown than existing time-series models on Chinese stock data, addressing the challenge of applying deep learning to low signal-to-noise ratio financial markets.