Cluster analysis of stocks using KMeans

[shraiyya]

• The data frame consists of the closing prices of 30 different stocks.
• The average annual percentage return and volatility of all 30 stocks over a theoretical one-year period are calculated first. The code clusters the 30 stocks according to their mean annual volatilities and Returns using K-means clustering.
• The optimum number of clusters is found using the Elbow curve method
• Please add Dwoc tag and level.