Survey of feature selection and extraction techniques for stock market prediction
Year of publication: |
2023
|
---|---|
Authors: | Htet Htet Htun ; Biehl, Michael ; Petkov, Nicolai |
Published in: |
Financial innovation : FIN. - Heidelberg : SpringerOpen, ISSN 2199-4730, ZDB-ID 2824759-0. - Vol. 9.2023, 1, Art.-No. 26, p. 1-25
|
Subject: | Dimensionality reduction | Feature extraction | Feature selection | Machine learning | Stock market forecasting | Prognoseverfahren | Forecasting model | Aktienmarkt | Stock market | Künstliche Intelligenz | Artificial intelligence |
-
Application and performance of data mining techniques in stock market : a review
Kaur, Jasleen, (2022)
-
Application of ensemble of recurrent neural networks for forecasting of stock market sentiments
Maknickiene, Nijole, (2018)
-
ARIMA and LSTM: a comparative analysis of financial time series forecasting
Gonçalves, João Vitor Matos, (2023)
- More ...
-
Forecasting relative returns for S&P 500 stocks using machine learning
Htet Htet Htun, (2024)
- More ...