AI as a tool for predicting insider trading

In her latest research, Dr. Solmaz Batebi, assistant teaching professor of Finance, explores how artificial intelligence can be used to predict insider trading.

Batebi’s findings, now published in the June 2026 Global Finance Journal, reveal that machine learning methods vastly outperform traditional methods of predicting the likelihood and magnitude of insider sales. AI excels at synthesizing and analyzing information and behavior patterns.

“Before AI, investigations on a single trade could take six months to a year to understand the intention,” Batebi said. “With AI, much of that same workload can happen in a couple minutes.”

Read more about the bridge between finance and computer science in the UW Bothell story, “Predicting insider trading with AI.”