PAMS: Platform for Artificial Market Simulations
Masanori Hirano Ryosuke Takata Kiyoshi Izumi
This paper presents a new artificial market simulation platform, PAMS:
Platform for Artificial Market Simulations. PAMS is developed as a Python-based
simulator that is easily integrated with deep learning and enabling various
simulation that requires easy users' modification. In this paper, we
demonstrate PAMS effectiveness through a study using agents predicting future
prices by deep learning.