mlsanityData to 14 Oct 2026

PAMS: Platform for Artificial Market Simulations

arXiv 2309.10729 ↗First posted 19 Sep 2023q-fin.CP cs.AI cs.LGcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 41 references that are in the map. First posted on arXiv 19 Sep 2023.

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2 of 41 references.

References · 2

  1. 2016Layer Normalizationcited by 5,669
  2. 2017Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Tradingcited by 11

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Experimental Analysis of Deep Hedging Using Artificial Market Simulations for Underlying Asset Simulatorscited by 0