8 citations · 12 across the 4 of their papers we have counts for
4 papers
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Hongyang Yang, Boyu Zhang, Yang She +2
We present FinRL-X, a modular and deployment-consistent trading architecture that unifies data processing, strategy construction, backtesting, and broker execution under a weight-c…
FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs
Yixuan Liang, Yuncong Liu, Neng Wang +3
Financial sentiment analysis is crucial for understanding the influence of news on stock prices. Recently, large language models (LLMs) have been widely adopted for this purpose du…
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Hongyang Yang, Boyu Zhang, Neng Wang +8
As financial institutions and professionals increasingly incorporate Large Language Models (LLMs) into their workflows, substantial barriers, including proprietary data and special…
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models
Boyu Zhang, Hongyang Yang, Tianyu Zhou +2
Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their t…