Intelligent trading framework based on large language models

Abstract

This paper presents an intelligent trading framework based on large language models. This system integrates the semantic reasoning of LLMs with classic statistical models, using LLMs to analyze news, sentiment, and macro reports to generate signals. These signals are combined with historical data and then drive the risk control module. The trading system replaces human analysts, providing 24-hour automated monitoring, reducing the working hours of human analysts, and promptly capturing event-driven opportunities during market fluctuations.