ZhangMian-CentraleSupelec / Transformer-for-Stock-Price-Prediction
☆10Updated 2 years ago
Alternatives and similar repositories for Transformer-for-Stock-Price-Prediction:
Users that are interested in Transformer-for-Stock-Price-Prediction are comparing it to the libraries listed below
- Intra day Stock Prediction 10 minutes into the future☆103Updated 5 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆27Updated 2 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆65Updated 3 years ago
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆72Updated 3 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆55Updated 7 months ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆52Updated 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
- 复现AAAI-21-STHAN-SR☆10Updated last year
- Stock Prediction usning Transformer NN☆81Updated 5 years ago
- LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈☆93Updated 8 months ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance…☆90Updated 5 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆30Updated 5 years ago
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 4 months ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆23Updated 4 years ago
- ☆49Updated 2 years ago
- An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.☆28Updated 4 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆27Updated 5 years ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆96Updated 8 months ago
- Stock risk premium prediction via FM/ EXT/ GBDT/ XGB/LBGM. Mengxuan Chen's graduation thesis at WHU.☆14Updated 5 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Updated 3 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 3 years ago
- Mean-Variance Optimization using DL (pytorch)☆30Updated 2 years ago
- stock prediction with GAN and WGAN☆93Updated 2 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- ☆11Updated 2 years ago
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆13Updated 5 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆56Updated 6 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Updated 2 years ago
- Implementation of AAAI-24 CI-STHPAN: Pre-Trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergrap…☆43Updated 6 months ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆12Updated 3 years ago