Research on stock trend prediction method based on optimized random forest
Abstract As a complex hot problem in the financial field, stock trend forecasting uses a large amount of data and many related indicators; hence it is difficult to obtain sustainable and effective results only by relying on empirical analysis. Researchers in the field of machine learning have proved...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-03-01
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Series: | CAAI Transactions on Intelligence Technology |
Subjects: | |
Online Access: | https://doi.org/10.1049/cit2.12067 |