8月21日
10:40
10:40官方账号arXiv cs.AI@Jianghai Li, Pavel Kuznetsov, Yury Yanovich, Konstantin Nott-Whaley, Igor Vodolazov
This paper focuses on Solana memecoins, detecting rug pulls using machine learning models like XGBoost. It reveals most memecoins show rug pull characteristics within an hour of launch, emphasizing the need for short-horizon prediction. The study also finds multi-source data fusion improves detection reliability across platforms like PumpFun and Raydium.
推荐理由:This study offers a practical framework for detecting Solana memecoin rug pulls, using XGBoost and multi-source data fusion, providing valuable insights for investors in the DeFi space.