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Call for Papers:Vol.11 Issue.3

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Title: :  STOCK PRICE PREDICTION USING LSTM
PaperId: :  23377
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23377
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
HITESH SHUKLAGALGOTIAS UNIVERSITY
SAHIL CHAUHANGALGOTIAS UNIVERSITY

Abstract

computer science
machine learning, deep learning, computer science, neural network,, long short term memory, stock price analysis, time series analysis, prediction analysis, data modelling, RNN, CNN,
Our stock prediction project leverages machine learning (ML) and deep learning techniques to forecast stock prices with increased accuracy. By analyzing vast historical data, our model learns complex patterns and trends in stock market behavior. We employ recurrent neural networks (RNNs) and convolutional neural networks (CNNs) to capture temporal and spatial dependencies, respectively. Feature engineering and sentiment analysis of news and social media data further enhance predictions. Rigorous training and validation ensure robustness. Our approach aims to empower investors with valuable insights, helping them make informed decisions in the dynamic world of finance. As we all know that the stock market is a very difficult market for investment and needs strong brainstorming before one shall start investing money in it. The field of stock price analysis requires immense research and deep knowledge of finance. Stock Market Analysis is one of the leading use of fundamentals of machine learning. It is very difficult to find the future price of stock market because of the volatile nature of the market. Our work focuses on the LSTM model to predict the prices using strategic parameters of stock market like RMSE and MAPE. The lower the values of the parameter shows the higher accuracy of our model. In this work, to obtain better accuracy of the model, best of the features will be selected using different Feature selection methods.

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IJARIIE HITESH SHUKLA, and SAHIL CHAUHAN. "STOCK PRICE PREDICTION USING LSTM" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 4304-4311
MLA HITESH SHUKLA, and SAHIL CHAUHAN. "STOCK PRICE PREDICTION USING LSTM." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 4304-4311.
APA HITESH SHUKLA, & SAHIL CHAUHAN. (2024). STOCK PRICE PREDICTION USING LSTM. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 4304-4311.
Chicago HITESH SHUKLA, and SAHIL CHAUHAN. "STOCK PRICE PREDICTION USING LSTM." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 4304-4311.
Oxford HITESH SHUKLA, and SAHIL CHAUHAN. 'STOCK PRICE PREDICTION USING LSTM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 4304-4311. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/STOCK_PRICE_PREDICTION_USING_LSTM_ijariie23377.pdf (Accessed : 30 August 2024).
Harvard HITESH SHUKLA, and SAHIL CHAUHAN. (2024) 'STOCK PRICE PREDICTION USING LSTM', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 4304-4311IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/STOCK_PRICE_PREDICTION_USING_LSTM_ijariie23377.pdf (Accessed : 30 August 2024)
IEEE HITESH SHUKLA, and SAHIL CHAUHAN, "STOCK PRICE PREDICTION USING LSTM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 4304-4311, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/STOCK_PRICE_PREDICTION_USING_LSTM_ijariie23377.pdf [Accessed : 30 August 2024].
Turabian HITESH SHUKLA, and SAHIL CHAUHAN. "STOCK PRICE PREDICTION USING LSTM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (30 August 2024).
Vancouver HITESH SHUKLA, and SAHIL CHAUHAN. STOCK PRICE PREDICTION USING LSTM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 30 August 2024]; 10(2) : 4304-4311. Available from: https://ijariie.com/AdminUploadPdf/STOCK_PRICE_PREDICTION_USING_LSTM_ijariie23377.pdf
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