A Novel Stock Market Model using Statistical Methods

Halavath*, Alle Bhavana Kumari**, D. Ram Babu***
*-*** Department of Computer Science and Engineering, Sreenidhi Institute of Science & Technology, Hyderabad, Telangana, India.
Periodicity:October - December'2021
DOI : https://doi.org/10.26634/jse.16.2.17634

Abstract

A stock market model using statistical analysis is used to predict sales by an investment manager in such a way as to recognize the main aspects that affect the same business strategy planning. The basic understanding of the necessary data for evaluating a predictive model is achieved using statistical methods. This helps the management to define the marketing strategy while preparing a report that helps the analyst to analyze the results obtained by the marketing officer. This paper presents a theoretical and analytical framework implementation using a support vector machines for stock market forecasting. The model tries to predict whether a stock price will be higher or lower in the future or it is on a given day which helps to determine whether to invest or not. Technical and fundamental analysis or time series analysis used by most of the stockbrokers for forecasting the stocks. Machine learning algorithms implemented using Python programming language predicts the stock market. However, this paper proposes that a machine learning (ML) approach based on these aspects will use the available stock information and use the resulting information to make accurate predictions.

Keywords

Stock Market, Machine Learning, Support Vector Machines.

How to Cite this Article?

Halavath, Kumari, A. B., and Babu, D. R. (2021). A Novel Stock Market Model using Statistical Methods. i-manager’s Journal on Software Engineering, 16(2), 9-15. https://doi.org/10.26634/jse.16.2.17634

References

[1]. 5paisa.com. (n.d.). Introduction to Equity Stock Market in India. 5Paisa Capital Ltd. Retrieved from https://www. 5paisa.com/school/introducti on-to-stock-market
[2]. Agarwal, P. (n.d.). Introduction to the Stock Market. Intelligent Economist. Retrieved from https://www.intelligent economist.com/ stock-market/
[3]. Ariyo, A. A., Adewumi, A. O., & Ayo, C. K. (2014, March). Stock price prediction using the ARIMA model. In 2014, UKSim-AMSS 16th International Conference on Computer Modelling and Simulation (pp. 106-112). IEEE. https://doi. org/10.1109/UKSim.2014.67
[4]. Ashik, A. M., & Kannan, K. S. (2019). Time series model for stock price forecasting in India. In Logistics, Supply Chain and Financial Predictive Analytics (pp. 221-231). Springer, Singapore. https://doi.org/10.1007/978-981-13- 0872-7_17
[5]. Bhuriya, D., Kaushal, G., Sharma, A., & Singh, U. (2017, April). Stock market predication using a linear regression. In 2017, International Conference of Electronics, Communication and Aerospace Technology (ICECA) (Vol. 2, pp. 510-513). IEEE. https://doi.org/10.1109/ICECA.2017. 8212716
[6]. Frankenfield, J. (2022). Machine Learning. Investopedia. Retrieved from https://www.investopedia.com/terms/m/ machine-learning.asp
[7]. Idrees, S. M., Alam, M. A., & Agarwal, P. (2019). A prediction approach for stock market volatility based on time series data. IEEE Access, 7, 17287-17298. https://doi. org/10.1109/ACCESS.2019.2895252
[8]. MathWorks. (n.d.). What Is Machine Learning? 3 things you need to know. The MathWorks, Inc. Retrieved from https://www.mathworks.com/discovery/machine-learning. html
[9]. Panigrahi, S. S., & Mantri, J. K. (2015, October). A text based Decision Tree model for stock market forecasting. In 2015, International Conference on Green Computing and Internet of Things (ICGCIoT) (pp. 405-411). IEEE. https:// doi.org/10.1109/ICGCIoT.2015.7380497
[10]. Senator With Guts (n.d.). Importance of Stock Exchange in the World Economic Setup. Senator With Guts. Retrieved from https://senatorwithguts.com/ importanceof- stock-exchange-in-the-world-economic-setup
[11]. Sharetipsinfo (n.d.). Importance of stock market and how stock market is important for countries economy. ShareTipsInfo. Retrieved from https://www.sharetipsinfo. com/economy-stock-market. html
[12]. Sunil. (2017, September 13). Understanding Support Vector Machine (SVM) algorithm from examples (along with code). Analytics Vidhya. Retrieved from https://www. analyticsvidhya.com/blog/2017/09/understaing-supportvector- machine-example-code/
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