Historical data have shown that several patterns in the behavior of the stock market are repeatable and thus they can be recognized and used to predict the future behavior of the markets. The aim of this work is to collect stock market data and trigger alerts if a given pattern is discovered at runtime. In order to present the work, the application has to work also offline using log-files.

Tags: JAVA, ESPER framework, COMPLEX EVENT PROCESSING
Downloads: presentazione,documentazione,software

MapReduce.it fornisce la prima risorsa italiana online sulla programmazione MapReduce e sul framework Java Hadoop