Gela Tsuladze

A stability-validated unsupervised anomaly detection framework for identifying suspicious pre-listing trading behavior in cryptocurrency markets

Abstract Insider trading detection in cryptocurrency markets is challenging due to the absence of ground truth labels and the introduced pseudonymity. Prior work has focused on rule-based methods, as well as investigated lower-volume data, with limited validation. This work propo...