Stock Price Prediction Using Machine Learning Algorithm
Abstract & Details
Research Area
Electronics Engineering
Keywords
Stock market
LSTM
RNN
KERAS
future stock price prediction
stock prediction
Abstract
Investment firms, hedge funds and even individuals have been using financial models to better understand market behavior and make profitable investments and trades. A wealth of information is available in the form of historical stock prices and company performance data, suitable for machine learning algorithms to process. Can we actually predict stock prices with machine learning? Investors make educated guesses by analyzing data. They'll read the news, study the company history, industry trends and other lots of data points that go into making a prediction.
For data with timeframes recurrent neural networks (RNNs) come in handy but recent researches have shown that LSTM, networks are the most popular and useful variants of RNNs.
We have used the Keras to build a LSTM to predict stock prices using historical closing price and trading volume and visualize both the predicted price values over time and the optimal parameters for the model.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pranav Sanjeev Mali | DKTE'S Textile and Engineering Institute, Ichalkaranji |
| 2 | Prathamesh Mohan Chatte | DKTE'S Textile and Engineering Institute, Ichalkaranji. |
| 3 | Pritam Sukumar Awate | DKTE'S Textile and Engineering Institute, Ichalkaranji |
| 4 | Hritik Shrikant Atwad | DKTE'S Textile and Engineering Institute, Ichalkaranji |
| 5 | Prof. S. D. Gokhale | DKTE'S Textile and Engineering Institute, Ichalkaranji |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mali, Pranav Sanjeev, Chatte, Prathamesh Mohan, Awate, Pritam Sukumar, Atwad, Hritik Shrikant, & Gokhale, Prof. S. D. (2022). Stock Price Prediction Using Machine Learning Algorithm. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 2910-2914.
MLA Style
Mali, Pranav Sanjeev, et al. "Stock Price Prediction Using Machine Learning Algorithm." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 2910-2914.
IEEE Style
Pranav Sanjeev Mali, Prathamesh Mohan Chatte, Pritam Sukumar Awate, Hritik Shrikant Atwad, and Prof. S. D. Gokhale, "Stock Price Prediction Using Machine Learning Algorithm," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 2910-2914, 2022.
Vancouver Style
Mali Pranav Sanjeev, Chatte Prathamesh Mohan, Awate Pritam Sukumar, Atwad Hritik Shrikant, Gokhale Prof. S. D.. Stock Price Prediction Using Machine Learning Algorithm. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):2910-2914.
Harvard Style
Mali, Pranav Sanjeev, Chatte, Prathamesh Mohan, Awate, Pritam Sukumar, Atwad, Hritik Shrikant, & Gokhale, Prof. S. D. (2022) 'Stock Price Prediction Using Machine Learning Algorithm', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 2910-2914.
Chicago Style
Mali, Pranav Sanjeev, et al. "Stock Price Prediction Using Machine Learning Algorithm." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2910-2914.
Turabian Style
Mali, Pranav Sanjeev, et al. "Stock Price Prediction Using Machine Learning Algorithm." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2910-2914.
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