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2 papers in research.

April 2026ResearchAGA—04

Quantitative signal discovery: a closed-loop multi-agent architecture

A closed-loop architecture where three specialized agents mine candidate alpha signals from market data, translate them into self-correcting Python, and validate them with statistical backtests — refining the search on every pass instead of generating once and hoping.

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  1. February 2026
    Research
    AGA—02

    Governed autonomy: approval lanes and audit trails in agentic systems

    How to give AI agents real autonomy without losing control — a pattern of approval lanes, reversible actions and complete audit trails that lets a business trust software to run part of its operation.

    Luis Hasanaj · Read →