Agent-based Simulation Research on Bitcoin Price Fluctuation

Abstract

In recent years, with the development of the Internet, network currency has gradually emerged. Bitcoin which is produced on the basis of complex algorithms has developed rapidly and attracted wide attention in academia. This paper explores the influence factors of bitcoin market transaction by analyzing the interaction between agents in bitcoin market transaction. Applying complex adaptive system modeling method based on multi-agent, this paper establishes an agent-based bitcoin market transaction model, and designs behavioral rules as well as transaction mechanism in detail for each agent in the process of market transaction. Then, we carry out a simulation on the Starlogo simulation platform and analyze the impact of the change in trader’s number on market transaction.