International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Open Citations

Predicting Stock Prices Using LSTM

Murtaza Roondiwala, Harshal Patel, Shraddha Varma

239 Open Citations
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Last updated: 2026-10-13 15:00:16

Citing Works

LSTM Approach for Efficient Stock Market Prediction

Sanjiv Kumar, Utkarsh Aggarwal, Pratiksha Gautam, Aryan Tuteja, Priya Matta, Sudhanshu Maurya

International Conference on Intelligent Technologies (CONIT) · 2023

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LSTM-based Portfolio Optimization Strategy for SP500

Lyucheng Dong

Advances in Economics Management and Political Sciences · 2023

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Machine learning approaches in stock market prediction: A systematic literature review

Latrisha N. Mintarya, Jeta N.M. Halim, Callista Angie, Said Achmad, Aditya Kurniawan

Procedia Computer Science · 2023

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Predicting stock market using machine learning: best and accurate way to know future stock prices

Dhruhi Sheth, Manan Shah

International Journal of Systems Assurance Engineering and Management · 2023

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Prediction of stock closing price PT. Telkom Indonesia with LSTM method

Firman Aji Prasetyo, Setiya Nugroho, Agus Setiawan

AIP conference proceedings · 2023

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Prediction of Stock Market Using LSTM-RNN Model

Nimesh Raj

International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) · 2023

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Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs

Kelum Gajamannage, Yonggi Park, Dilhani Ishanka Jayathilake

Expert Systems with Applications · 2023

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Staging Emotions in Stock Market Data Using Natural Language Processing with Transformers

Hiroki Takenaga, Xiang Li

IEEE International Conference on Information, Communication and Networks (ICICN) · 2023

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Stock Market Analysis and Prediction Using ARIMA, Facebook Prophet, and Stacked Long Short-Term Memory Recurrent Neural Network

R. Parvathi, Xiaohui Yuan

Advances in computational intelligence and robotics book series · 2023

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Stock Market Prediction During COVID-19 Pandemic: A Time-Series Big Data Analysis Method

Saeid Pourroostaei Ardakani, Ali Cheshmehzangi

Urban sustainability · 2023

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