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.

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.