Discovery and Prediction of Stock Index Pattern via Three-Stage Architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs.
Hongbing OuyangXiaolu WeiQiufeng WuPublished in: IEEE Access (2020)
Keyphrases
- recurrent neural networks
- binary trees
- pattern discovery
- stock exchange
- prediction model
- stock market
- data mining
- high dimensional data
- knowledge discovery
- artificial neural networks
- stock price
- memory efficient
- trading systems
- stock index futures
- regression model
- non stationary
- high dimensional
- financial markets
- decision making
- neural network