Stock Exchange Prediction through Regression Technique
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Stock exchange forecast has become an attractive research because of its essential job in the economy and profitable offers. In the stock exchange, the choice of when purchasing or selling stock is significant so as to achieve interest. There are many methods that can be appropriated to help businesspeople so as to resolve a choice for financial benefit. In this survey work, I have introduced a Forecast Algorithm that will give the connection between the dependent factor-like cost and Independent factors like First, Last, Close, Open,att1, DTYYYMMDD, VALUES, PRE LOW, TICKER, VOL, OPENING stock values and qualities. In this review, I have clarified the change of the stock value forecast with the utilization of regression investigation a calculation. Here regression is utilized to predict the stock cost of an organization for a specific date.
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A. Nayak, M. M. Pai, and R. M. J. P. C. S. Pai, "Prediction models for Indian stock market," vol. 89, pp. 441-449, 2016.https://doi.org/ 10.1016/j.procs. 2016.06.096
B. W. Wanjawa and L. J.Muchemi, "Ann model to predict stock prices at stock exchange markets," arXiv Preprint arXiv, 2014.https://arxiv.org/abs/ 1502. 06434
G.Ding, L. J. I. Qin, and Cybernetics, "Study on the prediction of stock price based on the associated network model of LSTM," International Journal of Machine Learning and Cybernetics,vol. 11, no. 6, pp. 1307-1317,2020.https://doi.org/ 10.1007/s13042-019-01041-1
M. Mike-Hana Fongang and N. Ahmadi, "The Impact of a Pandemic (COVID-19) on the Stock Markets: A Study on the Stock Markets of China, US and UK,",2020.
D. Bhuriya, G. Kaushal, A. Sharma, and U. Singh, "Stock market predication using a linear regression," in 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA), 2017, vol. 2, pp. 510-513: IEEE. https://doi.org/10.1109/ICECA.2017.8212716
Q. A. Al-Radaideh, A. A. Assaf, and E. Alnagi, "Predicting stock prices using data mining techniques," in The International Arab Conference on Information Technology (ACIT’2013), 2013, pp. 1-8.
K. H. Sadia, A. Sharma, A. Paul, S. Padhi, and S. Sanyal, "Stock market prediction using machine learning algorithms," International Journal of Advances in Technology, vol. 8, no. 4, pp. 25-31, 2019.
J. Patel, M. Patel, and M. Darji, "Stock Price Prediction Using Clustering and Regression: Areview,"International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3, no. 1, pp. 1967-1971,2018.
S. B. Imandoust, M. J. Bolandraftar, and Applications, "Forecasting the direction of stock market index movement using three data mining techniques: the case of Tehran Stock Exchange," International Journal of Engineering Research and Applications, vol. 4, no. 6, pp. 106-117, 2014.
I. S. Abuhaiba, H. M. Dawoud, and Applications, "Combining different approaches to improve Arabic text documents classification," International Journal of IntelligentSystems andApplications, vol. 9, no. 4, p. 39-52, 2017.
M. R. Naqvi, M. A. Jaffar, M. Aslam, S. K. Shahzad, M. W. Iqbal, and A. Farooq, "Importance of Big Data in Precision and Personalized Medicine," in 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2020, pp. 1-6: IEEE.https://doi.org/10.1109/HORA49412.2020.9152842
A. A. Rasheed, "Cognitive Analytics of Apple Products from Crowdsourced Tweets," in 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1543-1549: IEEE.https://doi.org/10.1109/ICCMC51019.2021.9418302
S. S. Maini and K. Govinda, "Stock market prediction using data mining techniques," in 2017 International Conference on Intelligent Sustainable Systems (ICISS), 2017, pp. 654-661: IEEE. https://doi.org/10.1109/ISS1.2017.8389253
D. Bhuriya, G. Kaushal, A. Sharma, and U. Singh, "Stock market predication using a linear regression," in 2017 international conference of electronics, communication and aerospace technology (ICECA), 2017, vol. 2, pp. 510-513: IEEE. https://doi.org/10.1109/ICECA.2017.8212716
A. E. Khedr, N. J. Yaseen, and Applications, "Predicting stock market behavior using data mining technique and news sentiment analysis," International Journal of Intelligent Systems and Applications,vol. 9, no. 7, p. 22-30, 2017.
M. R. Naqviet al., "A Concurrence Study on Interoperability Issues in IoT and Decision Making Based Model on Data and Services being used during Inter-Operability," LGURJCSIT,vol. 4, no. 4, pp. 73-85, 2020.
D. Shah, H. Isah, and F. J. Zulkernine, "Stock market
Stock Exchange Prediction through Regression analysis: A review and taxonomy of prediction techniques," International Journal of Financial Studies,vol. 7, no. 2, p. 26, 2019. https://doi.org/10.3390/ijfs7020026
P. Garg, S. J. Vishwakarma, and A. Technology, "An Efficient Prediction of Share Price using Data Mining Techniques," Journal of Engineering and Advanced Technology (IJEAT), vol. 8, no. 6, pp. 3110-3115, 2019.
S. Nimje, R. Mayya, M. N. A. Baig, and S. J. Jawale, "Prediction on Stocks Using Data Mining," 2020.https://papers.ssrn.com/sol3/ papers.cfm?abstract_ id=3565311
M. Dang and D. Duong, "Improvement methods for stock market prediction using financial news articles," in 2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), 2016, pp. 125-129: IEEE. https://doi.org/10.1109/NICS.2016.7725636
A. Sari, H. Saputra, and A. J.Siahaan, "Financial distress analysis on Indonesia stock exchange companies," International Journal for Innovative Research in Multidisciplinary Field, vol. 4, no. 3, pp. 73-74, 2018.
A. Bhardwaj, Y. Narayan, and M. J. P. C. S. Dutta, "Sentiment analysis for Indian stock market prediction using Sensex and nifty," Procedia Computer Science, vol. 70, pp. 85-91, 2015. https://doi.org/ 10.1016/j.procs.2015.10.043
Copyright (c) 2021 Marium Malik, Maira Kamran, Salman Mahmood
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