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Prediction of Stock Market Price Using Classification Rules and Graph Based Analysis

Jageshwer Shriwas, Shagufta Farzana

Abstract


Stock price prediction is the way of trading indexes with the help of key techniques. These techniques are helpful to all the people who want to know how the stock prices are fluctuate. In this paper we are analyzing index point of NSE with the help of using classification technique of data mining to find the best group and finally this group evaluated with the help of graph based analysis. In graph based analysis we are using the index point to make a graph and find the pattern which is based on daily stock price .This pattern shows new indexes and key point which is average value of all the indexes. Here we are using one year index point of an NSE and analyze it for stock price prediction. This Study perform the prediction of stock market index values as well as daily direction of change in the index

Keywords


Graph Based Analysis, Prediction, Ruled Based Classification, Stock Price.

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