A Multi-agent System Based On LLM For Trading Financial Assets
In this paper, we propose an agent-based system including Large Language Models (LLM). It depicts a multi-agent system architecture for cryptocurrency trading, consisting of five distinct agents: an Analyst, a Data Scientist, a Strategy Developer, a Trading Advisor, and a Risk Manager. Each agent...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ovidius University Press
2025-02-01
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| Series: | Ovidius University Annals: Economic Sciences Series |
| Subjects: | |
| Online Access: | https://stec.univ-ovidius.ro/html/anale/RO/2024i2/Section%205/18.pdf |
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