STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK

Sanjit Kumar; Rishabh Sharma; Shubham Srivastava; Siri A Muddebihal; Dr. Saravana Kumar R

STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK

July 2021

Vol-7, Issue-4

Paper ID: 14861

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Machine Learning

Keywords

machine learning deep learning stock prediction stock recurrent neural network neural network python flask

Abstract

The prediction and analysis of stock market data have got an important role in today’s economy. Our project is based on the prediction of stock values for the next 7 days that shows the variation if the stock is going to rise or fall. We will extract data from different websites using API’s then we will form a dataset from the past 2 years and then implement the neural network techniques like LSTM and Linear Regression to train and test the data and finally predicting the output values and using Matplotlib tool to plot a graph for better understanding to the users which will show the stock prices for the next 7 days. This will help the investors find potentially profitable stock. It can be used to gain an insight in to the economy as a whole. Having accurate information helps make better decisions.

License

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Author Information

#	Name	Institute / Affiliation
1	Sanjit Kumar	Dayananda Sagar Academy of Technology and Management
2	Rishabh Sharma	Dayananda Sagar Academy of Technology and Management
3	Shubham Srivastava	Dayananda Sagar Academy of Technology and Management
4	Siri A Muddebihal	Dayananda Sagar Academy of Technology and Management
5	Dr. Saravana Kumar R	Dayananda Sagar Academy of Technology and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style

Kumar, Sanjit, Sharma, Rishabh, Srivastava, Shubham, Muddebihal, Siri A, & R, Dr. Saravana Kumar (2021). STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK. International Journal of Advance Research and Innovative Ideas In Education, 7(4), 224-230.

MLA Style

Kumar, Sanjit, et al. "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, 2021, pp. 224-230.

IEEE Style

Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R, "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, pp. 224-230, 2021.

Vancouver Style

Kumar Sanjit, Sharma Rishabh, Srivastava Shubham, Muddebihal Siri A, R Dr. Saravana Kumar. STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(4):224-230.

Harvard Style

Kumar, Sanjit, Sharma, Rishabh, Srivastava, Shubham, Muddebihal, Siri A, & R, Dr. Saravana Kumar (2021) 'STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK', International Journal of Advance Research and Innovative Ideas In Education, 7(4), pp. 224-230.

Chicago Style

Kumar, Sanjit, et al. "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 224-230.

Turabian Style

Kumar, Sanjit, et al. "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 224-230.