Online ISSN: 2515-8260

Author : A.S.ARUNACHALAM, D.SHALINIGAYATHRI and


Survey on combined supervised learning for optimized daily Stock price

D.SHALINIGAYATHRI and A.S.ARUNACHALAM

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 5014-5021

Equity Market is the place of shares and stock trading system which collection of buyers and sellers.  In this domain, diverse public or private shares are traded by the listed companies. The Stock market places an important role in predicting the growth of a country's economy.  The prediction of the stock market becomes a difficult task due to its non-linear scenario. The Machine Learning algorithm handles previously logged data as training samples and makes supports for forecasting the stock price for future trends. Supervised Learning is a powerful Machine Learning task.  The basic idea of Supervised Learning is to classify and process data using Machine Learning.  This paper denotes the survey and usage of Supervised Learning in a stock market application.  This survey expresses the various aspect of the stock market then describes Supervised Learning and its algorithm for future prediction of the stock market.  This paper shows a detailed idea about the supervised learning techniques and future scope of developing new features