2 citations · 3 across the 2 of their papers we have counts for
2 papers
q-fin.CP2025★ 1 cited
Integrating Large Language Models and Reinforcement Learning for Sentiment-Driven Quantitative Trading
Wo Long, Wenxin Zeng, Xiaoyu Zhang +1
This research develops a sentiment-driven quantitative trading system that leverages a large language model, FinGPT, for sentiment analysis, and explores a novel method for signal…
q-fin.TR2025★ 2 cited
An End-To-End LLM Enhanced Trading System
Ziyao Zhou, Ronitt Mehra
This project introduces an end-to-end trading system that leverages Large Language Models (LLMs) for real-time market sentiment analysis. By synthesizing data from financial news a…