Chinese Stock Market

Research on the Chinese stock market increasingly leverages advanced machine learning techniques, particularly deep learning architectures like LSTMs, BiLSTMs, and transformer-based models, to improve stock price prediction and trading strategy optimization. Current efforts focus on incorporating diverse data sources, including investor sentiment from online forums and financial news analyzed via large language models (LLMs), alongside traditional technical indicators, to enhance predictive accuracy and robustness. These advancements aim to improve investment decision-making and risk management, contributing to both academic understanding of market dynamics and the development of more sophisticated quantitative trading strategies.