YC-Coder-Chen / GRU-stock-price-prediction
A new GRU framework for stock price prediction. A new module similar to the attention mechanism and a module similar to the ResNet are added in the framework. .
☆10Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for GRU-stock-price-prediction
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- 基於DA-RNN之DSTP-RNN論文試做(Ver1.0)☆77Updated 4 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆20Updated 3 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆60Updated 6 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 3 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆20Updated 7 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆54Updated 5 years ago
- ☆10Updated 3 years ago
- Stock market prediction model ANN, SVM, SVR☆16Updated 6 years ago
- stock predict by cnn and lstm☆38Updated 6 years ago
- Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data☆32Updated 4 years ago
- Stock Price Prediction using CNN-LSTM☆83Updated 4 years ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆18Updated 3 years ago
- Stock Prediction usning Transformer NN☆80Updated 5 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆33Updated 5 years ago
- Apply machine learning algorithms in the financial market. Ensemble Model, including XGBoost, LightGBM, CNN, ResNet and LSTM.☆10Updated 2 years ago
- 使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…☆51Updated 4 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆24Updated 2 years ago
- Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for …☆10Updated 5 years ago
- RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆19Updated 4 months ago
- 基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測☆46Updated 4 years ago
- Forex Time-Series Prediction Using TCN☆44Updated 5 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆83Updated 5 years ago
- ☆40Updated 3 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆100Updated 4 years ago
- Time Series analysis with Python and ARIMA model to forecast Bitcoin price☆21Updated 6 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆27Updated 5 years ago
- This project uses XGBoost and LSTM to forecast stock market performance.☆14Updated 3 years ago