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Analysis of Stock Market using Data Mining Techniques

Ashmita Phuyal, Aditi Pokharel, Nilima Dahal, Sushil Shrestha

Abstract


Long term investments are one of the major leading investment strategies in the modern financial market. However, calculating intrinsic value of some company and evaluating shares for long term investment is not easy, since analysts have to visualize a large number of financial indicators and evaluate them in the right manner. The prediction of stock markets is considered as one of the major challenging tasks of financial time series. Due to the presence of non-linear data sets and dynamic nature, there is an increasing demand in analysis of the market and prediction of future stock trends. In this paper we present a data mining and machine learning aided approach to evaluate the equity’s future price over the long term. However, the main objective of this paper is to find the best algorithm for prediction to predict the values of the stock market.

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References


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