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What is S&P 500 Stock Movement Prediction with CNN about?
This paper presents a method for predicting the movement of S&P 500 stocks using Convolutional Neural Networks (CNN) and raw historical market data, including stock split and dividend events. It highlights the advantages of deep learning techniques, particularly CNNs, over traditional mathematical approaches in financial forecasting. The proposed model aims to enhance prediction accuracy by leveraging complex patterns in multivariate time series data without relying on engineered features.
- Author
- David Chuah
- Language
- EN