Comparative Study of Stock Prediction System using Regression Techniques
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Abstract
There is a creating enthusiasm for the prediction and analysis of stock prices to augment the profits for the end client. This figuring will give an inexact estimation whether the stock price will increment or abatement sooner rather than later. To play out this prediction we will utilizeinformation mining algorithms like linear regression, support vector regression(SVR) and ridge regression. The method will likewise give a comparative study of these three algorithms on the premise of their precision in prediction of the stocks. The prediction system alongside the information of fundamental and technical analysis can prompt an extremely precise prediction, which will bring about exceptional yields. The system can be utilized by traders, typical clients, brokers and so on.
Keywords: Stocks, regression, support vector machines, fundamental analysis, technical analysis, behavioral finance, API
Keywords: Stocks, regression, support vector machines, fundamental analysis, technical analysis, behavioral finance, API
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