The Korean global prediction platform PolyMarket recently announced a large‑scale trading result. The anonymous trader “Swywstoni” employed an algorithmic high‑volume trading strategy and recorded a maximum profit of $12 million (about 1.5 billion KRW). With cases such as this emerging, unregulated prediction markets are becoming new trading arenas for major investors.
PolyMarket combines artificial intelligence and big data to analyze and predict market price volatility in real time. Swywstoni built a model that integrates past data with real‑time indicators through the platform, optimizing both trade timing and position. As a result, the profitability of high‑volume trades reportedly increased by over 30 % compared with conventional strategies.
However, concerns regarding such unregulated markets are growing. Financial regulators now state that “prediction trading platforms” need regulatory frameworks for investor protection and market transparency. They are also considering legal measures against potential fraudulent or unfair practices in large‑volume trades.
All content on Hankyung Premium9 is protected as Korean Economic Daily’s copyrighted material, and unauthorized reproduction, duplication, distribution, capture, etc. are prohibited. Violation of these terms may result in civil and criminal liability.