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

By Rajat M. Barot, Arjun S. Borkhatariya

Published 2026-04-04

Everscope rating

1233.7

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: PolySwarm Multi-Agent LLM Framework. Problem types: Classification, Time Series Forecasting, Optimization, Portfolio Optimization, Risk Management, Algorithmic Execution, Pairs Trading, Market Making, Anomaly Detection, Natural Language Processing.

arXiv:2604.03888 · Paper rankings

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