Insider trading filings are a source of publicly available information available to anyone by the United States Securities and Exchange Commission (SEC). The fact that financial markets allow people to profit from knowledge about events that affect a company, provokes an interest in the behavior of those agents and their trading movements. This work is aimed at discovering sequential associations within insider trading information stored at the United States SEC Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system.