Yuanzhe-Jia / ResNLS
ResNLS: An Improved Model for Stock Price Forecasting
☆11Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for ResNLS
- Implementation of AAAI-24 CI-STHPAN: Pre-Trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergrap…☆38Updated 4 months ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆28Updated 9 months ago
- Reproduce AAAI22-FactorVAE☆55Updated last year
- ☆54Updated 2 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆34Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆52Updated 3 years ago
- 复现AAAI-21-STHAN-SR☆10Updated last year
- Jiahao Li, Yong Zhang, Xingyu Yang, and Liangwei Chen. "Online portfolio management via deep reinforcement learning with high-frequency d…☆20Updated last year
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆80Updated 4 months ago
- Financial time series forecasting with multi-modality graph neural network☆37Updated 10 months ago
- ☆23Updated 2 months ago
- A curated list of time series prediction resources.☆53Updated 2 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆43Updated 4 months ago
- PyTorch implementation of FactorVAE☆51Updated 2 months ago
- MASA: Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management.☆24Updated last month
- ☆49Updated 2 years ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆90Updated 6 months ago
- Multi Task Learning Time Series Momentum☆14Updated 6 months ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆24Updated 2 years ago
- Open code for PriceGraph☆68Updated 6 months ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆63Updated 3 years ago
- Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".☆119Updated 8 months ago
- ☆41Updated last year
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 years ago
- ☆10Updated 3 years ago
- ☆65Updated 5 months ago
- Stock Price Prediction with PCA and LSTM☆14Updated 3 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆86Updated 7 months ago
- This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Fo…☆167Updated last month
- Price prediction for Crypto, Stock, and Index using Hybrid Graph Attention Network (GAT) and Long Short-Term Memory (LSTM) models on PyTo…☆20Updated 11 months ago