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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50475
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The stock market is a place where people trade company shares, playing a vital role in the global economy. Stock exchanges serve by linking buyers and sellers so that these transactions can be made easier. One of the hardest things in finance is accurately forecasting stock prices, particularly for long-term investors that wish to get the best out of their investments. But since the market is highly volatile and in a continuous state of flux, form of Gated Recurrent Unit (GRU) networks, comes in. GRUs are perfect for monitoring time-based data since they are able to discern patterns and trends across time. In this project, we intend to utilize GRU models to forecast stock prices in real time based on historical data from models can be an effective tool for stock price forecasting, helping investors cope with the vagueness of the market and make better decisions.
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Publication Date
6/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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