Abstract
In this project we investigated several aspects related to financial time series data. Starting with the methodology of time series correlation and correlation graph based analyses we went to two directions. First, a comprehensive analytical tool was built which offers functions for financial/time-series data pre-processing, data management, data representation, and a Minimum Spanning Tree (MST) based technique that transforms raw data into valuable knowledge. Second, some algorithmic aspects that improve computation efficiency were examined.