About this document
Detecting Insider Trading via Data Analysis by anshk2404ak is a document available to read on EtoBox.
This project investigates insider trading detection through transaction analysis, utilizing machine learning techniques on stock trading datasets. Key findings indicate that abnormal trading volumes and price movements, particularly before major announcements, are strong indicators of insider trading. The study suggests improvements for real-time monitoring and collaboration with regulators to enhance detection systems.
- Author
- anshk2404ak
- Language
- EN