Event-Driven Trading

Event-Driven Trading is a specific application of natural language processing (NLP) technology in the financial sector. It aims to automatically identify market dynamics and investment opportunities by real-time analysis of event information in textual data such as news and social media, thereby assisting or automating the stock trading decision-making process. This method can enhance trading efficiency, reduce risks, and capture market signals that are difficult to detect through traditional data analysis, making it an important application.