A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION

PRIYANKA.S.V; PUGAZHENTHI.P; RUBAN RAJ.K; SAADH.A

A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION

March 2020

Vol-6, Issue-2

Paper ID: 11717

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

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Abstract

The Stock market process is full of uncertainty and is affected by many factors. Hence the Stock market prediction is one of the important exertions in finance and business. In this system technical analysis are considered. Technical analysis is done using historical data of stock prices by applying machine learning. The learned model can then be used to make future predictions about stock values. The system is trained by using machine learning algorithm. Then the correlation between the stock values is analyzed. The learned model can then be used to make future predictions about stock values. It can be shown that this method is able to predict the stock performance. In this system we applied prediction techniques approach in order to predict stock prices for a sample companies. In stock predictions, a set of pure technical data, fundamental data, and derived data are used in prediction of future values of stocks. The pure technical data is based on previous stock data while the fundamental data represents the companies’ activity and the situation of market. All the data will be classified and clustering using the data mining techniques.

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Author Information

#	Name	Institute / Affiliation
1	PRIYANKA.S.V	T.J.S ENGINEERGING COLLEGE
2	PUGAZHENTHI.P	T.J.S ENGINEERGING COLLEGE
3	RUBAN RAJ.K	T.J.S ENGINEERGING COLLEGE
4	SAADH.A	T.J.S ENGINEERGING COLLEGE

How to Cite

Use the following formats to cite this article in your research.

APA Style

PRIYANKA.S.V, PUGAZHENTHI.P, RAJ.K, RUBAN, & SAADH.A (2020). A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 1233-1239.

MLA Style

PRIYANKA.S.V, et al. "A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 1233-1239.

IEEE Style

PRIYANKA.S.V, PUGAZHENTHI.P, RUBAN RAJ.K, and SAADH.A, "A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 1233-1239, 2020.

Vancouver Style

PRIYANKA.S.V, PUGAZHENTHI.P, RAJ.K RUBAN, SAADH.A. A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):1233-1239.

Harvard Style

PRIYANKA.S.V, PUGAZHENTHI.P, RAJ.K, RUBAN, & SAADH.A (2020) 'A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 1233-1239.

Chicago Style

PRIYANKA.S.V, et al. "A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1233-1239.

Turabian Style

PRIYANKA.S.V, et al. "A PROGNOSIS FOR STOCK MARKET PREDICTION BASED ON TERM STREAK INFORMATION." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1233-1239.