Candle Stick Pattern Recognition Using Convolutional Neural Network (ResNet)
Rajyashree1, Vishvak. S. Athreiya2, Pavan Balaji K3, Siddharth. S4
1Ms. Rajyashree, Assistant Professor, Department of Computer Science and Engineering, Srm Institute of Science and Technology, Tamilnadu, India.
2Pavan Balaji K, Student, Department of Computer Science and Engineering, Srm Institute of Science and Technology, Tamilnadu, India
3Siddharth.S, Student, Department of Computer Science and Engineering, Srm Institute of Science and Technology, Tamilnadu , India
4Vishvak.S .Athreiya, Student, Department of Computer Science and Engineering, Srm Institute of Science and Technology, Tamilnadu, India
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 597-603 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5451058719/19©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: Financial Markets is depicted as a place where you can make money easily. So, the analysis of the stock market is one of the most happening and interesting analysis Lot of top investment banking company HNI’s (High net worth individuals) who are Active in financial markets use a leading indicator called candle sticks for finding the direction of the movement of a stock and act accordingly to yield maximum profit. Many researchers have come up with a lot of modelling to find these movements. In this research we are going to use Data Analysis and Convolutional Neural Network to find the patterns and movement of the stock prices.
Keyword: Candle Stick Analysis, Data Analysis, Convolutional Neural Networks, Residual Neural Network.
Scope of the Article: Convolutional Neural Networks