Abstract
This paper explores the link between virtual currencies and money laundering, focusing on forensic accounting techniques to trace suspicious transactions. We review literature and case studies to identify red flags, and propose a data-driven framework using analytics and machine learning to track illicit activities.Our findings emphasize the need for stronger oversight,collaboration among regulators, law enforcement, and forensic accountants, and the development of specialized tools. We recommend robust AML/CFT regulations, continuous training, and enhanced forensic capabilities to improve financial system security and transparency.