A Deep Learning Method to Predict Stock Prices

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Memarzadeh Faezeh; KHOSRAVI FARSANI HADI; Javdani Gandomani Taghi

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2022 | Issue:8

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Title

A Deep Learning Method to Predict Stock Prices

Author(s)

Memarzadeh Faezeh | KHOSRAVI FARSANI HADI | Javdani Gandomani Taghi

Keywords

Stock Price Prediction

Stock Market

Emotion Index

Twitter

Yahoo Finance

Deep Learning Network

Abstract

Today, with the development of the world of communication and the emergence of social networks, people's lives and decisions have undergone many changes. Social networks with the aim of informing, have been able to play a major role in various aspects of life and decision making. In the meantime, people use social networks to make various decisions such as investment and type of stock. In this paper, a method based on deep learning is designed and developed to predict stock value movement. The data was collected from the social networks Twitter and Yahoo Finance for three months. Twitter data is first tagged with semantic analysis and then tagged using CNN. Stock Market value data was calculated along with the Emotion Index and analyzed by different modes of the proposed LSTM model to predict the trend of Stock Market value. The results show that emotion indices and calculation of HLPCT and PCTchange criteria have been effective in predicting the trend of Stock Market value with the least error. The results also show the superiority of the proposed method compared to the existing methods in terms of price prediction.

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APA: Copy

Memarzadeh, Faezeh, KHOSRAVI FARSANI, HADI, & Javdani Gandomani, Taghi. (2022). A Deep Learning Method to Predict Stock Prices. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949657/en

Vancouver: Copy

Memarzadeh Faezeh, KHOSRAVI FARSANI HADI, Javdani Gandomani Taghi. A Deep Learning Method to Predict Stock Prices. 2022. Available from: https://sid.ir/paper/949657/en

IEEE: Copy

Faezeh Memarzadeh, HADI KHOSRAVI FARSANI, and Taghi Javdani Gandomani, “A Deep Learning Method to Predict Stock Prices,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2022, [Online]. Available: https://sid.ir/paper/949657/en

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