---
title: Agents Propose, Code Decides: An Autonomous Research Loop Framework to Build an Equity Alpha Model
url: https://www.ml-quant.com/papers/ssrn/7568638/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-09
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 7568638
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7568638
featured: 2026-10-09
citations: unknown
topic: ML & AI Methods
---


# Agents Propose, Code Decides: An Autonomous Research Loop Framework to Build an Equity Alpha Model

An autonomous research loop in which agents propose factor candidates and code verifies them builds multi-factor alpha models, screening 212 predictors and admitting 14 that raise baseline information coefficient out-of-sample.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7568638
- Identifier: SSRN 7568638
- Released: 2026-10-07
- First featured: Quant Letter No. 134 (2026-10-09): https://www.ml-quant.com/issues/2026-10-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods
- Authors: Erfan Sadeghi

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