This paper presents the application of Tokenlab, an agent-based modeling framework designed to analyze price dynamics and speculative behavior within token-based economies. By decomposing complex token systems into discrete agent interactions governed by fundamental behavioral rules, Tokenlab simplifies the simulation of otherwise intricate market scenarios. Its core innovation lies in its ability to model a range of speculative strategies and assess their collective influence on token price evolution. Through a novel controller mechanism, Tokenlab facilitates the simulation of multiple speculator archetypes and their interactions, thereby providing valuable insights into market sentiment and price formation. This method enables a systematic exploration of how varying degrees of speculative activity and evolving strategies across different market stages shape token price trajectories. Our findings enhance the understanding of speculation in token markets and present a quantitative framework for measuring and interpreting market heat indicators.

翻译：本文介绍了TokenLab的应用，这是一个基于代理的建模框架，旨在分析代币经济中的价格动态和投机行为。通过将复杂的代币系统分解为受基本行为规则支配的离散代理交互，TokenLab简化了原本错综复杂的市场情景模拟。其核心创新在于能够建模一系列投机策略，并评估它们对代币价格演变的集体影响。通过一种新颖的控制器机制，TokenLab促进了多种投机者原型及其相互作用的模拟，从而为市场情绪和价格形成提供了有价值的见解。该方法能够系统性地探索不同程度的投机活动以及不同市场阶段中不断演变的策略如何塑造代币价格轨迹。我们的研究结果增进了对代币市场投机的理解，并提出了一个用于量化和解读市场热度指标的定量框架。