arleigh418 / Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
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
☆47Updated 4 years ago
Alternatives and similar repositories for Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch:
Users that are interested in Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch are comparing it to the libraries listed below
- stock predict by cnn and lstm☆38Updated 6 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- 多因子lstm预测☆14Updated 2 years ago
- Attempt to use XGBoost in stock price prediction☆86Updated 4 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☆33Updated 4 years ago
- Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络☆58Updated 7 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…☆53Updated 4 years ago
- 股价预测程序，尝试各种模型。☆33Updated 3 years ago
- 使用pytorch搭建的循环神经网络在股票数据时间序列上的应用☆105Updated 7 years ago
- Time Series Classification with Convolutional Neural Network: Automated Trading by Pattern Recognition (Master's Thesis)☆19Updated 2 years ago
- DBN股票预测的，改的程序，加了训练方法和tensorboard可视化等☆26Updated 8 months ago
- Stock Price Prediction with PCA and LSTM☆14Updated 4 years ago
- LSTM神经网络预测沪深300指数及其涨跌☆41Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 years ago
- By PyTorch☆140Updated 5 years ago
- ☆10Updated 3 years ago
- A new GRU framework for stock price prediction. A new module similar to the attention mechanism and a module similar to the ResNet are ad…☆10Updated 5 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆35Updated 5 years ago
- Multi-scale Two-way Deep Neural Network☆43Updated 4 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆28Updated 5 years ago
- 基于机器学习的股票投资算法，使用到了Auto-ARIMA、LSTM、SVM、Prophet、朴素贝叶斯、移动平均算法等多个算法，从信息收集、算法分析、回测等多个方面进行分析，从消息面、基本面、技术面三种分析方法进行分析。☆96Updated 5 years ago
- Trained an LSTM model in python to predict prices after denoising the price signal using wavelet transformation method.☆8Updated 5 years ago
- Financial time series forecast using dual attention RNN☆27Updated 6 years ago
- Implementation of seq2seq with attention in keras☆114Updated 5 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- This project includes following repositories Presentation Machine Learning algorithms like Prophet, ARIMA, XGBoost, LSTM and Seq2Seq☆17Updated 5 years ago
- LSTM 实现的股票最高价预测☆139Updated 2 years ago
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 8 months ago