gsyyysg / StockFormerView external linksLinks
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
☆346May 6, 2024Updated last year
Alternatives and similar repositories for StockFormer
Users that are interested in StockFormer are comparing it to the libraries listed below
Sorting:
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆123May 17, 2024Updated last year
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆99May 16, 2025Updated 8 months ago
- Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".☆344Mar 19, 2024Updated last year
- This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Fo…☆406Jun 26, 2025Updated 7 months ago
- ☆58Feb 7, 2025Updated last year
- ☆70Feb 27, 2024Updated last year
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆112Dec 25, 2024Updated last year
- ☆69Jun 16, 2024Updated last year
- Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.☆1,006Dec 18, 2024Updated last year
- ☆43Jan 24, 2023Updated 3 years ago
- ☆30Jul 21, 2023Updated 2 years ago
- Official Implementation of SimStock : Representation Model for Stock Similarities☆87Jun 17, 2024Updated last year
- [WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"☆104Mar 17, 2025Updated 10 months ago
- pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"☆172Jul 2, 2024Updated last year
- ☆129Jan 9, 2025Updated last year
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆46Jan 9, 2025Updated last year
- Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors☆338Sep 1, 2024Updated last year
- Papers for AI + quantitative investment☆135Sep 12, 2024Updated last year
- ☆77Nov 16, 2022Updated 3 years ago
- Official implementation of PRUDEX-Compass☆53Jun 21, 2023Updated 2 years ago
- ☆35Jan 1, 2025Updated last year
- Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, I…☆424Sep 29, 2025Updated 4 months ago
- ☆16Oct 6, 2021Updated 4 years ago
- TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning☆2,478Jun 4, 2025Updated 8 months ago
- Accepted at AAAI 25 Workshop Long Research Paper☆25Jun 6, 2025Updated 8 months ago
- Code for paper "Temporal Relational Ranking for Stock Prediction"☆517Mar 4, 2021Updated 4 years ago
- ☆30Mar 13, 2024Updated last year
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆105Jul 3, 2024Updated last year
- 强化学习进行量化金融☆41Jul 20, 2022Updated 3 years ago
- 量化机器学习/深度学习模型（Model Zoo）；Alpha 因子（Factor Zoo）； 量化资源以及相关论文代码☆151Jul 24, 2025Updated 6 months ago
- ☆137Jul 19, 2024Updated last year
- Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data☆893Updated this week
- ☆20Sep 6, 2025Updated 5 months ago
- The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Infor…☆290Jan 13, 2023Updated 3 years ago
- ☆24Jan 1, 2025Updated last year
- Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierar…☆131Aug 31, 2023Updated 2 years ago
- Custom Loss functions for asset return prediction with deep learning regression☆36Oct 17, 2022Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆58Aug 17, 2021Updated 4 years ago
- ☆40Jun 13, 2023Updated 2 years ago