Signal or Noise in Multi-Agent LLM-based Stock Recommendations?

By George Fatouros, Kostas Metaxas

Published 2026-04-19

Everscope rating

1543.5

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Multi-Agent LLM Equity System with Monte Carlo Validation and NNLS Attribution. Problem types: Portfolio Optimization, Ranking, Classification, Natural Language Processing, Optimization, Risk Management.

arXiv:2604.17327 · Paper rankings

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