Modeling and Prediction of Stock Price with Convolutional Neural Network Based on Blockchain Interactive Information

Joint Authors

Zhang, Wei
Tao, Ke-xin
Li, Jun-feng
Zhu, Yan-chun
Li, Jing

Source

Wireless Communications and Mobile Computing

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-09

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Information Technology and Computer Science

Abstract EN

The interactive information in blockchain architecture establishes an effective communication channel between users and enterprises, enabling them to communicate in a comprehensive and effective manner.

Therefore, taking blockchain interactive information as the research object, this paper explores how the intervention of official information on investors affects the stock price movement and then makes predictions on stock prices according to the emotional tendency of interactive information.

With the contextual information fusion, a sentiment computing model based on a convolutional neural network is established to extract and quantify the emotional features of blockchain interactive information.

Combined with investors’ emotional features, the stock price prediction model based on long short-term memory is proposed.

The experiment results show that the accuracy of the model has been improved by incorporating the intervened emotional features, thereby proving that information clarification can have a positive effect on the stock price.

American Psychological Association (APA)

Zhang, Wei& Tao, Ke-xin& Li, Jun-feng& Zhu, Yan-chun& Li, Jing. 2020. Modeling and Prediction of Stock Price with Convolutional Neural Network Based on Blockchain Interactive Information. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214493

Modern Language Association (MLA)

Zhang, Wei…[et al.]. Modeling and Prediction of Stock Price with Convolutional Neural Network Based on Blockchain Interactive Information. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1214493

American Medical Association (AMA)

Zhang, Wei& Tao, Ke-xin& Li, Jun-feng& Zhu, Yan-chun& Li, Jing. Modeling and Prediction of Stock Price with Convolutional Neural Network Based on Blockchain Interactive Information. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214493

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1214493