A multi-agent LLM equity system produces statistically significant outperformance on S&P 500 stocks, with strong-buy portfolios returning +2.18% monthly versus +1.15% for the equal-weight benchmark over 19 months.
Review of prompt engineering techniques in fi- nance: An evaluation of chain-of-thought, tree-of-thought, and graph-of-thought ap- proaches.SSRN Working Paper 5339795
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Signal or Noise in Multi-Agent LLM-based Stock Recommendations?
A multi-agent LLM equity system produces statistically significant outperformance on S&P 500 stocks, with strong-buy portfolios returning +2.18% monthly versus +1.15% for the equal-weight benchmark over 19 months.