arleigh418 / Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--PytorchLinks
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 5 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
Sorting:
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆40Updated 8 years ago
- Attempt to use XGBoost in stock price prediction☆89Updated 5 years ago
- stock predict by cnn and lstm☆39Updated 7 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆20Updated 4 years ago
- Time Series Classification with Convolutional Neural Network: Automated Trading by Pattern Recognition (Master's Thesis)☆19Updated 2 years ago
- By PyTorch☆141Updated 6 years ago
- 多因子lstm预测☆14Updated 3 years ago
- 基於DA-RNN之DSTP-RNN論文試做(Ver1.0)☆77Updated 5 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Updated 4 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Updated 4 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance…☆106Updated 5 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☆108Updated 7 years ago
- Financial time series forecast using dual attention RNN☆27Updated 6 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 5 years ago
- copper price(time series) prediction using bpnn and lstm☆106Updated 6 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆91Updated 3 years ago
- ☆132Updated 6 years ago
- 股价预测程序,尝试各种模型。☆36Updated 4 years ago
- Multi-scale Two-way Deep Neural Network☆43Updated 4 years ago
- Stock price forecasting stuff with BERT☆33Updated 4 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆32Updated 3 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆130Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆57Updated 4 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Updated 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。☆99Updated 5 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Updated 5 years ago
- ☆10Updated 3 years ago
- A Study on Stock Price Prediction and Quantitative Strategy - Based on Deep Learning 『深層学習に基づく株価予測とクオン ツ戦略に関する研究』基于深度学习的股票价格预测和量化策略研究☆32Updated 3 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆62Updated 7 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 4 years ago