ABSTRACT: Successful predictions of future stock will maximize the profit of the investors. The Prediction of the stock market is the task to determine the upcoming value of instrument traded on a company stock or financial exchange. The Report proposes a Simple AI model to foresee the stock value esteem. The proposed calculation incorporates molecule swarm advancement (PSO) and least help vector (LS-SVM). PSO calculation has been utilized to streamline LS-SVM to foresee costs of every day stock. The proposed model depends on the investigation of verifiable information and specialized pointers. The PSO calculations have been utilized to streamline LS-SVM to foresee of every day costs of day by day stock. The proposed model depends on the investigation of verifiable information and specialized markers. The PSO calculation chooses a blend of sans best parameters for LS-SVM....
Key Words: Stock Price, Support Vector Machine, profitability, Machine learning.
[1]. Zhen Hu, Jibe Zhu, and Ken Tse "Stocks Market Prediction Using Support Vector Machine", 6th International Conference on Information Management, Innovation Management and Industrial Engineering, 2013.M.
[2]. Wei Huang, Yoshiteru Nakamori, Shou-Yang Wang, "Forecasting stock market movement direction with support vector machine", Computers & Operations Research, Volume 32, Issue 10, October 2005,
[3]. N. Ancona, Classification Properties of Support Vector Machines for Regression, Technical Report, RIIESI/CNR-Nr. 02/99.
[4]. K. jae Kim, "Financial time series forecasting using support vector machines," Neurocomputing, vol. 55, 2003.
[5]. Debashish Das and Mohammad shorifuddin data mining and neural network techniques in stock market prediction: a methodological review, international journal of Artificial Intelligence & applications, vol.4, no.1, January 2011.
