A new stock price prediction model named as CNN-BiLSTM-ECA is proposed, which combines Convolutional Neural Network (CNN), Bidirectional Long Short-term Memory ...
Oct 22, 2024 · Therefore, this paper proposes a CNN-BiLSTM-AM method to predict the stock closing price of the next day. This method is composed of ...
A new stock price prediction model named as CNN-BiLSTM-ECA is proposed, which combines Convolutional Neural Network (CNN), Bidirectional Long Short-term Memory ...
This paper proposes a CNN-BiLSTM-Attention-based model, which was first used to predict the price of the Chinese stock index and was found to be more ...
A new stock price prediction model named as CNN-BiLSTM-ECA is proposed, which combines Convolutional Neural Network (CNN), Bidirectional Long Short-term Memory ...
People also ask
Can CNN be used for stock prediction?
What is the best model for stock forecasting?
How does recurrent neural network predict stock price?
What is CNN LSTM for forecasting?
In order to provide better prediction results of stock price, a new stock price prediction model named as CNN-BiLSTM-ECA is proposed, which combines ...
Apr 23, 2023 · In this paper, a CNN-BiLSTM-Attention-based model is proposed to boost the accuracy of predicting stock prices and indices.
Jun 28, 2021 · In order to provide better prediction results of stock price, a new stock price prediction model named as CNN-BiLSTM-ECA is proposed, which ...
These models leverage the feature extraction capability of CNN and the sequence modeling proficiency of LSTM to forecast financial trends more reliably.
Apr 13, 2023 · In this paper, a CNN-BiLSTM-Attention-based model is proposed to boost the accuracy of predicting stock prices and indices.