FinAgent, developed by a team from Nanyang Technological University and the National University of Singapore, integrates market intelligence, reflection modules, and augmented tools to enhance decision-making in financial trading. The agent's unique dual-level reflection module enables rapid adaptation to market dynamics and incorporates diversified memory retrieval systems. FinAgent significantly outperforms existing baselines across 6 financial datasets, achieving an average improvement of over 36% on profit metrics. The agent's emphasis on reasoning for actions fosters trust in its financial decisions.
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arxiv.org
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