Stock Market Price Prediction Using Deep Learning Models : LSTM & RNN

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Bhumika R; Akhilesh SH; K Vinay Kumar Reddy

Stock Market Price Prediction Using Deep Learning Models : LSTM & RNN

Authors: Bhumika R, Akhilesh SH, K Vinay Kumar Reddy

Unique Paper ID: 176481
Volume: 11
Issue: 11
PageNo: 8058-8064

Keywords: Stock Market Deep Learning LSTM RNN Machine Leaning. Artificial Intelligence Django Prediction Accuracy Precision Model Time Series.

Abstract:
Prediction of Stock Prices is really a hard and challenging task because the market changes so much and in unpredictable ways. This Research tries to make better predictions using powerful Predictive models like deep learning models, Specifically LSTM and RNN. Regular Prediction methods often miss long-term patterns in Stock Prices, Which makes those models less accurate. LSTM and RNN which are good at looking at data that comes in a Sequence are being leveraged in this research, historical data that is been refined is used to train the LSTM and RNN models. An interactive and user-friendly website was developed using Django to visualize the data in forms of dashboards. This shows that deep learning can be very helpful for understanding the stock market and helping investors make smarter choices. In the future, the models can be made more accurate and reliable by adding other market information like financial indicators and economic trends.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 8058-8064

Stock Market Price Prediction Using Deep Learning Models : LSTM & RNN

Available:https://ijirt.org/article?manuscript=176481

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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