Stock Market Prediction using Artificial Intelligence
P. Subashini1, Ameer Naseh2, Rohan Hazra3, Rohan Grover4
1P.Subashni, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Ameer Naseh, CSE, SRM Institute of Science and Technology , Chennai, India. Rohan Hazra, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Rohan Grover, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Rohan Hazra, CSE, SRM Institute of Science and Technology , Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1062-1064 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6278048419/19©BEIESP
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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: Forecasting stock market prices has always been a challenging task for many financial analysts and market researchers. Stock prediction is also a motivating space of analysis for investors. Current progression of the market is a reason of concern for many investors. Smart prediction methods indirectly facilitate traders by providing supportive info like the longer term market direction. Data mining techniques measure effective for foretelling future by applying varied algorithms over data. This project focuses at forecasting the stock market prices by using economic news data and public sentiments in order to increase efficiency of the algorithm. It proposes a unique strategy for predicting the stock market closing price. Many scholars have researched in this area of chaotic forecast in their ways. ANN can be used effectively in predicting closing price using data mining techniques .For this reason a feed forward neural algorithm is used which consists of many layers. Historical stock data and semantic analysis of market is used to predict the final stock market price.
Keywords: Stock Market Movement, Artificial Intelligence
Scope of the Article: Artificial Intelligence