How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting

Stock market forecasting is a time series problem that aims to predict possible future prices or directions of an index/stock. The stock data contains high uncertainty and is influenced by too many factors; hence it isn’t easy to achieve the goal by traditional time series methods. In literat...

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Bibliografiske detaljer

Principais autores:	Zinnet Duygu Aksehir, Erdal Kilic
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2022-01-01
Serier:	IEEE Access
Fag:	CNN model feature selection labeling stock prediction
Online adgang:	https://ieeexplore.ieee.org/document/9738619/
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