Research on stock trend prediction method based on optimized random forest-Reference-Cited by-同舟云学术

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Research on stock trend prediction method based on optimized random forest

Published:2021-12-03 Issue: Volume: Page:
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Yin Lili¹^ORCID,Li Benling¹,Li Peng¹^ORCID,Zhang Rubo²

Affiliation:

1. School of Computer and Science and Technology Harbin University of Science and Technology Harbin China

2. Department of Computer Science and Engineering Dalian Nationalities University Dalian China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12067

Reference30 articles.

1. A study on efficient market hypothesis to predict exchange rate trends using sentiment analysis of Twitter data;Komariah K.S.;J. Korea Multimedia Soc.,2016

2. Stock prediction using deep learning

3. A robust predictive model for stock price prediction using deep learning and natural language processing;Mehtab S.;ArXiv: Statistical Finance,2019

4. The enhanced classification for the stock index prediction;Kim H.;Procedia Comput. Sci,2016

5. Combining of random forest estimates using LSboost for stock market index prediction

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