Prediction of Stock Market using Data Mining and Artificial Intelligence

Nishant Dudhwala · Kunal Jadhav · Pawan Gabda · Brij Kishor

36 citations0/0 files storedInternational Journal of Computer Applications

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Stock Market Forecasting Methods Forecasting Techniques and Applications Time Series Analysis and Forecasting

Abstract

Predicting anything is very hard where the relationship between inputs and outputs are non-linear in nature.The prediction of stock market values is one of a challenging task of financial time series.Online application for buying and selling the shares is used in high amounts these days.The next step of this web application will be not just registering, buying and selling the shares but it will also be predicting the values for particular shares in the market.We are proposing the system which will study the database of shares and will give predictions according to it.With the help of study of neural networks the system will be designed and based on.For prediction particularly ARMA (autoregressive-movingaverage) algorithm is used.Hence the system will be able to give highest probability predictions for particular shares.

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References

2004Forecasting Intraday stock price trends with text mining techniques 2008A Hybrid Machine Learning System For Stock Market Forecasting 2010Financial Stock Market Forecast using Data Mining Techniques 2014Stock market prediction by using artificial neural network 2013A Linear Regression Approach to Prediction of Stock Market Trading Volume: A Case Study 2011A Hybrid Machine Learning System for Stock Market Forecasting 1978Roster of College of Chaplains.

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