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For the development of successful share trading strategies, forecasting thecourse of action of the stock market index is important. Effective predictionof closing stock prices could guarantee investors attractive benefits. Machinelearning algorithms have the ability to process and forecast almost reliableclosing prices for historical stock patterns. In this article, we intensivelystudied NASDAQ stock market and targeted to choose the portfolio of tendifferent companies belongs to different sectors. The objective is to computeopening price of next day stock using historical data. To fulfill this tasknine different Machine Learning regressor applied on this data and evaluatedusing MSE and R2 as performance metric.

A comparative study of Different Machine Learning Regressors For Stock Market Prediction