<p>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 [&#8230;]</p>
<p>The post <a href="https://www.marktechpost.com/2026/09/01/aqua-a-two-part-agentic-framework-for-autonomous-factor-discovery/">Researchers from Princeton, Ant Group and Stanford Introduce AQuA: A Two-Part Agentic Framework for Autonomous Factor Discovery and Model Development in Quantitative Finance</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>