ENHANCING ANOMALY DETECTION IN FINANCIAL MARKETS WITH AN LLM-BASED MULTI-AGENT FRAMEWORK

By Taejin Park

Published 2024-03-28

Everscope rating

1126.3

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: LLM-based Multi-Agent Framework. Problem types: Anomaly Detection, Natural Language Processing.

arXiv:2403.19735 · Paper rankings

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