Abstract
This paper utilizes k-means clustering to cluster stocks in the Istanbul Stock Exchange based on certain financial indicators, principal component analysis to graph the data points and clusters with as much variance as possible in two dimensions. In the end, a confusion matrix is created to calculate the accuracy of the cluster prediction given sectors.