  For the development of successful share trading strategies, forecasting the
course of action of the stock market index is important. Effective prediction
of closing stock prices could guarantee investors attractive benefits. Machine
learning algorithms have the ability to process and forecast almost reliable
closing prices for historical stock patterns. In this article, we intensively
studied NASDAQ stock market and targeted to choose the portfolio of ten
different companies belongs to different sectors. The objective is to compute
opening price of next day stock using historical data. To fulfill this task
nine different Machine Learning regressor applied on this data and evaluated
using MSE and R2 as performance metric.
