Open Citations — Predicting Stock Prices Using LSTM | IJSR
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: 2026-10-16 09:45:13

Citing Works

Stock Price Trend Prediction

Sahil Bhatia

International Journal for Research in Applied Science and Engineering Technology · 2020

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Study of Machine learning Algorithms for Stock Market Prediction

Ashwini Pathak

International Journal of Engineering Research and · 2020

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Financial system modeling using deep neural networks (DNNs) for effective risk assessment and prediction

Jing Duan

Journal of the Franklin Institute · 2019

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Forecasting Financial Markets using Deep Learning

Razvan Zanc, Tudor Cioara, Ionut Manuel Anghel

IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) · 2019

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Investment portfolio analysis by using neural networks

Nijolė Maknickienė, Darius Sabaliauskas

2019

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News Impact on Stock Trend

Protim Dey, Nadia Nahar, B M Mainul Hossain

International Journal of Education and Management Engineering · 2019

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Stock Market Analysis: A Review and Taxonomy of Prediction Techniques

Dev Shah, Haruna Isah, Farhana H. Zulkernine

International Journal of Financial Studies · 2019

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Stock Price Prediction Using LSTM on Indian Share Market

Achyut Ghosh, Soumik Bose, Giridhar Maji, Narayan Chandra Debnath, Soumya Sen

EPiC series in computing · 2019

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A Comparative Study of LSTM and DNN for Stock Market Forecasting

Dev Shah, Wesley Campbell, Farhana H. Zulkernine

IEEE International Conference on Big Data (BigData) · 2018

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Algorithmic Forex Trading using Combination of Numeric Time Series and News Analysis

Varun Patil, Nimish Somani, Aman Tadvi, Vahida Attar

International Conference for Convergence in Technology (I2CT) · 2018

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