Pythagoras Expectation based Mining Technique for Stock Market Divination
S. Bhakiya1, A. Akila2, R. Parameswari3
1S.Bhakiya, Department of Computer Science, Vels Institute of Science, Technology & Advanced Studies, Chennai, India.
2Dr.A.Akila*, Department of Computer Science, Vels Institute of Science, Technology & Advanced Studies, Chennai, India.
2Dr. R. Parameswari, Department of Computer Science , Vels Institute of Science, Technology and Advanced Studies, Chennai, India.
Manuscript received on 11 August 2019. | Revised Manuscript received on 14 August 2019. | Manuscript published on 30 September 2019. | PP: 5362-5365 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6089098319/2019©BEIESP | DOI: 10.35940/ijrte.C6089.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Analysis of stocks will be helpful for the new investors to invest in the stock market depending on the different factors of the application. Stock market checks the daily tasks for manipulation of Sensex, sharestrading and stock market. The exchange gives way for a well-organized and open market for trading in fair, debt instruments and derivatives. Since the last decade, there is an increased need for improving the accuracy of forecasting models in various domains. This paper uses Pythagoras Expectation for Stock Market Prediction. There is a real urge to find the appropriate stock investment which would have a good return. The aim of this article is to predicate the prediction of financial movements in stock market. The proposed work is experimented using the dataset fetched from yahoo finance and the results were verified and found to be significant using ARIMA model.
Keywords— Pythagoras Expectation, Moving Average, Relative Strength Index, Moving Average Convergence Divergence, Initial Public Offer.
Scope of the Article: Data Mining Methods, Techniques, and Tools