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Title: :  Stock market prediction and analysis using LSTM Neural Networks
PaperId: :  19343
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19343
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
kothapally srujaniB V Raju institute of technology
Bhavagna UppalaB V Raju institute of technology
K. Jaya LaxmiB V Raju institute of technology

Abstract

Information technology
LSTM Neural Network, Stock, Prediction, Gradient Descent, Market, Shares, Accurate, Graphical Outcomes.
The prediction of stock value is a complex task that needs a robust algorithm background in order to compute long-term share prices. Stock prices are correlated within the nature of the market; hence it will be difficult to predict the costs. Prior studies concentrated on the factors that can affect investors' emotions. The researchers completed studies based on social media, the period of the stock market, and the use of various models to extract the feature of stocks. To accurately anticipate the stock, they initially used NLP and GBDT, which primarily focus on emotion and select information from the news (which didn’t give accurate predictions). The proposed algorithm uses the market data to predict the share price using machine learning techniques like recurrent neural networks named Long Short-Term Memory (LSTM), in that process weights are corrected for each data point using stochastic gradient descent. This system will provide accurate outcomes in comparison to currently available stock price predictor algorithms. The network is trained and evaluated with various input data sizes to urge the graphical results.

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IJARIIE kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi. "Stock market prediction and analysis using LSTM Neural Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 446-451
MLA kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi. "Stock market prediction and analysis using LSTM Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 446-451.
APA kothapally srujani, Bhavagna Uppala, & K. Jaya Laxmi. (2023). Stock market prediction and analysis using LSTM Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 446-451.
Chicago kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi. "Stock market prediction and analysis using LSTM Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 446-451.
Oxford kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi. 'Stock market prediction and analysis using LSTM Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 446-451. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Stock_market_prediction_and_analysis_using_LSTM_Neural_Networks_ijariie19343.pdf (Accessed : ).
Harvard kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi. (2023) 'Stock market prediction and analysis using LSTM Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 446-451IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Stock_market_prediction_and_analysis_using_LSTM_Neural_Networks_ijariie19343.pdf (Accessed : )
IEEE kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi, "Stock market prediction and analysis using LSTM Neural Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 446-451, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Stock_market_prediction_and_analysis_using_LSTM_Neural_Networks_ijariie19343.pdf [Accessed : ].
Turabian kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi. "Stock market prediction and analysis using LSTM Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver kothapally srujani, Bhavagna Uppala, and K. Jaya Laxmi. Stock market prediction and analysis using LSTM Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 446-451. Available from: https://ijariie.com/AdminUploadPdf/Stock_market_prediction_and_analysis_using_LSTM_Neural_Networks_ijariie19343.pdf
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