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.
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MetaGraph uses ontology-guided LLM extraction to build knowledge graphs from 681 papers on GenAI in financial NLP, identifying three distinct phases of development from 2022 to 2025.
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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.
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MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)
MetaGraph uses ontology-guided LLM extraction to build knowledge graphs from 681 papers on GenAI in financial NLP, identifying three distinct phases of development from 2022 to 2025.