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Articles

An End-To-End LLM Enhanced Trading System

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By Ziyao Zhou, Ronitt Mehra
| articlegateway.com
Abstract This project introduces an end-to-end trading system that leverages Large Language Models (LLMs) for real-time market sentiment analysis and trading signal generation. By synthesizing financial news and social-media streams, the system integrates sentiment-driven insights with technical indicators to support actionable investment decisions. FinGPT serves as the core sentiment model, ensuring domain-specific accuracy, while additional models validate performance across financial contexts.
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