fabriceyhc / ppl_gnn_stocksLinks
Final project repo for UCLA CS 267A
☆14Updated 4 years ago
Alternatives and similar repositories for ppl_gnn_stocks
Users that are interested in ppl_gnn_stocks are comparing it to the libraries listed below
Sorting:
- GCNET: graph-based prediction of stock price movement using graph convolutional network☆9Updated 3 years ago
- ☆18Updated 4 years ago
- ☆15Updated 4 years ago
- Open code for PriceGraph☆71Updated last year
- ☆9Updated 4 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆53Updated 3 years ago
- Financial time series forecasting with multi-modality graph neural network☆46Updated last year
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆53Updated 3 years ago
- Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"☆16Updated 3 years ago
- Price prediction for Crypto, Stock, and Index using Hybrid Graph Attention Network (GAT) and Long Short-Term Memory (LSTM) models on PyTo…☆21Updated last year
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 9 months ago
- ☆65Updated 4 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- ☆53Updated 4 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆159Updated 5 years ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆17Updated 2 years ago
- Relation-Aware Transformer for Portfolio Policy Learning using Binance provider☆23Updated 4 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- TensorFlow implementation of the HARNet model for realized volatility forecasting.☆28Updated last year
- ☆16Updated 3 years ago
- ☆17Updated 2 years ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆45Updated 3 years ago
- ☆52Updated 3 years ago
- Explore TESLA stock price (time-series) using ARIMA & GARCH model.☆19Updated 3 years ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆25Updated 4 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆41Updated 4 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆98Updated 3 years ago
- ☆12Updated 3 years ago
- A PyTorch exercise in implementing a continuous time LSTM to simulate Neural Hawkes Process based on the paper by Hongyuan Mei and Jason …☆10Updated 2 years ago