Modeling Speculative Trading Patterns in Token Markets: An Agent-Based Analysis with TokenLab

TL;DR

Token prices in crypto markets are heavily shaped by speculative trading, which conventional valuation approaches struggle to capture. The paper introduces Tokenlab, an agent-based modeling framework with a novel supply controller to simulate speculative behavior and its impact on price formation. It extends the Quantity Theory of Money to crypto by using relationships such as $M \cdot V = P \cdot Q$ and the reformulated $M \cdot C = T \cdot H$ to connect token supply $M$, velocity $V$, price $P$, and transaction value $Q$, enabling measurement of how supply, holding time $H$, and transaction flow drive prices. Empirical validation on $LINK$ data across multiple market phases demonstrates that the composition and intensity of speculative archetypes can explain deviations from baseline supply-demand dynamics, offering a quantitative framework for market heat indicators. The work provides a scalable, configurable ABM tool for token ecosystem analysis with practical implications for investors and designers.

Abstract

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.

Figures (2)

• Figure 1: TokenLab Logo
• Figure 2: Simulated price dynamics and deviations. This figure illustrates the actual price trend, moving averages of price differences, and the impact of speculative behaviors on price simulations.