q-fin.TR

PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage

Rajat M. Barot, Arjun S. Borkhatariya / April 7, 2026

arXiv:2604.03888v1 Announce Type: new
Abstract: This paper presents PolySwarm, a novel multi-agent large language model (LLM) framework designed for real-time prediction market trading and latency arbitrage on decentralized platforms such as Polymarke…

cs.LG, math.OC, q-fin.CP, q-fin.MF, q-fin.TR

Reinforcement Learning for Speculative Trading under Exploratory Framework

Yun Zhao, Alex S. L. Tse, Harry Zheng / April 3, 2026

arXiv:2604.02035v1 Announce Type: cross
Abstract: We study a speculative trading problem within the exploratory reinforcement learning (RL) framework of Wang et al. [2020]. The problem is formulated as a sequential optimal stopping problem over entry …