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 lit...
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Main Authors: | Zinnet Duygu Aksehir, Erdal Kilic |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9738619/ |
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