Price Prediction of Stock Market- An Empirical Research
Shawni Dutta1, Samir Kumar Bandyopadhyay2
1Shawni Dutta, Department of Computer Science, The Bhawanipur Education Society College, Kolkata, India.
2Samir Kumar Bandyopadhyay*, Academic Advisor, The Bhawanipur Education Society College, Kolkata, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1015-1021 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2083059120/2020©BEIESP | DOI: 10.35940/ijrte.A2083.059120
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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: Stock market price prediction is an inspiring problem domain of financial sector as it involves several factors and drives people towards a complex problem solving approach. Financial markets are one of the key points of any country economy. Researchers have been working over several years on stock market prediction which is an interesting problem in itself since a number of variables are involved for prediction. In this study, an extensive review of existing techniques dedicated to stock market forecasting is carried out. A comparative analysis of the existing techniques, mentioning methodologies along with the future direction also provided.
Keywords: Stock Exchanges, Stock Market Analysis; Prediction; Statistics; Sentiment Analysis.
Scope of the Article: Regression and Prediction