How can agents simulate speculative token trading?
Modeling Speculative Trading Patterns in Token Markets: An Agent-Based Analysis with TokenLab
December 11, 2024
https://arxiv.org/pdf/2412.07512This paper explores how speculative trading affects token prices using an agent-based model called TokenLab. It simulates different speculator "archetypes" (e.g., short-term vs. long-term traders) and their impact on price volatility across various market phases (upward, downward, stable). The key takeaway for LLM-based multi-agent systems is the potential for simulating complex market dynamics by modeling individual agent behaviors with different strategies and observing their aggregate effects on the system, such as price fluctuations. This framework could inform the design of more robust and realistic multi-agent simulations for various applications beyond token markets.