Stock Market Prediction using LSTM

Priya Sidhu; Himanshu Aggarwal; Madan Lal

Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India

Research Article

Stock Market Prediction using LSTM

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@INPROCEEDINGS{10.4108/eai.27-2-2020.2303545,
    author={Priya  Sidhu and Himanshu  Aggarwal and Madan  Lal},
    title={Stock Market Prediction using LSTM},
    proceedings={Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India},
    publisher={EAI},
    proceedings_a={ICIDSSD},
    year={2021},
    month={3},
    keywords={stock price lstm methodology},
    doi={10.4108/eai.27-2-2020.2303545}
}

Priya Sidhu
Himanshu Aggarwal
Madan Lal
Year: 2021
Stock Market Prediction using LSTM
ICIDSSD
EAI
DOI: 10.4108/eai.27-2-2020.2303545

Priya Sidhu¹^,*, Himanshu Aggarwal¹, Madan Lal¹

1: Dept.of Computer Science& Engineering, Punjabi University, Patiala

*Contact email: sidhupriyaa@gmail.com

Abstract

In this paper, the analyses of stock is done using Long-Short-Term Memory as it helps in predicting the future price of the stock market. LSTM focuses on predicting the next output that will help to do the time series analysis. Therefore, to do the forecasting of the stock price, we have to consider the closing price. LSTM helps to find the future price using the previous day’s closing price. LSTM neural network helps in predicting TATAGLOBAL stock by using multi-feature input variables to verify the prediction effect on the stock time series.

Keywords: stock price lstm methodology

Published: 2021-03-11
Publisher: EAI

: http://dx.doi.org/10.4108/eai.27-2-2020.2303545