donghyeonk / hanLinks
TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018
☆29Updated 11 months ago
Alternatives and similar repositories for han
Users that are interested in han are comparing it to the libraries listed below
Sorting:
- ☆59Updated 5 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆177Updated 5 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆56Updated 3 years ago
- Multi-scale Two-way Deep Neural Network☆43Updated 4 years ago
- Code for stock movement prediction from tweets and historical stock prices.☆223Updated 6 years ago
- ☆53Updated 3 years ago
- ☆105Updated 4 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆161Updated 5 years ago
- ☆53Updated 5 years ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆25Updated 4 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆130Updated 3 years ago
- A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement predictio…☆209Updated 5 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 4 years ago
- ☆67Updated 2 years ago
- [ACL 2021-Findings] Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading."☆117Updated 3 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Updated 4 years ago
- ☆65Updated 4 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 4 years ago
- Open code for PriceGraph☆71Updated last year
- ☆77Updated 5 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- Intra day Stock Prediction 10 minutes into the future☆109Updated 6 years ago
- 1th: Kaggle Jane Street Market Prediction: AE MLP+xgb☆44Updated 3 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆54Updated 3 years ago
- Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction☆60Updated last year
- Stock price forecasting stuff with BERT☆33Updated 4 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆33Updated last year
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆45Updated 3 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆99Updated 3 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆100Updated 5 years ago