Abstract

Web browsers are some of the most frequently used computer applications today. However, a large portion of their data cycles is wasted during idle time. The purpose of this project is to create a browser page that can take advantage of these wasted cycles, using them to analyze stock price trends. Multiple machines will analyze individual stocks and send their results to a central server, which will then determine the most profitable investment strategies from the compiled data. Following the naming convention of popular volunteer computing projects such as SETI@home, this program will be calle