Achieving fully automated quantitative research

Develop fully automated quantitative research systems for trading strategy development that operate end-to-end without human intervention while maintaining practical viability in real-world markets.

Background

QuantEvolve demonstrates the feasibility of evolutionary multi-agent strategy generation but acknowledges that complete automation of the quantitative research pipeline is not yet achieved.

The broader goal of end-to-end automation encompasses robust validation, hypothesis quality assurance, and bridging the research-to-deployment gap, which collectively remain unresolved.