marcuswang6/stock-top-papers
A curated list of academic papers with code applying deep learning and reinforcement learning to stock price prediction and quantitative trading.
Not currently ranked — collecting fresh signals.
star history
This repository organizes academic papers at the intersection of machine learning and finance, covering stock price prediction, trading strategies, risk modeling, and volatility forecasting. Papers are categorized by publication year, task, model architecture (transformers, GNNs, LLMs, SSM/Mamba), and methodology (NLP-based, graph learning, RL, retrieval-augmented). The collection spans top venues like KDD, WWW, AAAI, and ACL.
Frequently asked
- What is marcuswang6/stock-top-papers?
- A curated list of academic papers with code applying deep learning and reinforcement learning to stock price prediction and quantitative trading.
- Is stock-top-papers open source?
- Yes — marcuswang6/stock-top-papers is open source, released under the Apache-2.0 license.
- How popular is stock-top-papers?
- marcuswang6/stock-top-papers has 467 stars on GitHub.
- Where can I find stock-top-papers?
- marcuswang6/stock-top-papers is on GitHub at https://github.com/marcuswang6/stock-top-papers.