Quantitative Investment

Quantitative investment seeks to leverage computational methods for superior financial returns, focusing on developing robust and efficient trading strategies. Current research emphasizes the use of large language models (LLMs) and advanced deep learning architectures, such as graph neural networks and multi-agent systems, to extract predictive signals from diverse financial data and dynamically adapt to market conditions. This field is significant for its potential to improve investment performance and efficiency, driving innovation in both financial modeling and artificial intelligence.