Stock market forecasting using deep learning with long short-term memory and gated recurrent unit.
E. T. SivadasanN. Mohana SundaramR. SanthoshPublished in: Soft Comput. (2024)
Keyphrases
- deep learning
- stock market
- financial time series
- short term
- recurrent neural networks
- garch model
- long term
- foreign exchange
- unsupervised learning
- unsupervised feature learning
- stock price
- financial data
- stock exchange
- machine learning
- stock returns
- trading rules
- feed forward
- financial markets
- forecasting model
- mental models
- stock index futures
- stock data
- financial news
- exchange rate
- stock trading
- neural network
- weakly supervised
- news articles
- text classification
- artificial neural networks
- feature selection
- chinese stock market