蚂蚁集团等机构推出AQuA框架，解决量化金融模型开发中的数据污染问题。
AQuA是由普林斯顿、蚂蚁集团和斯坦福研究人员开发的双部分智能体框架。该框架专注于量化金融中的自主因子发现和模型开发。研究解决了量化研究代理在实验中可能污染证据的问题。AQuA通过分离作者和审查者角色来避免共享盲点。
Researchers from Princeton, Ant Group and Stanford Introduce AQuA: A Two-Part Agentic Framework for Autonomous Factor Discovery and Model Development in Quantitative Finance
Quantitative research agents that write their own experiments can corrupt the evidence they later learn from. A leaky feature that scores well gets stored as a successful precedent and propagated through later iterations. Prompt-level instructions and reviewer agents do not close this, because author and reviewer share the same blind spots. A team of researchers […] The post Researchers from Princeton, Ant Group and Stanford Introduce AQuA: A Two-Part Agentic Framework for Autonomous Factor Discovery and Model Development in Quantitative Finance appeared first on MarkTechPost .