From the 1 of 6 linked papers with an AI index.
6 papers
EVOQUANT: Self-Evolving Verifier-Guided Strategy Optimization for Robust Quantitative Trading
Jie Mao, Changlun Li, Xiang Li +7
EVOQUANT is a framework that uses large language models together with a verifier pipeline to automatically diagnose, edit, and improve quantitative trading strategies, achieving hi…
Unleashing Expert Opinion from Social Media for Stock Prediction
Wanyun Zhou, Saizhuo Wang, Xiang Li +3
While stock prediction task traditionally relies on volume-price and fundamental data to predict the return ratio or price movement trend, sentiment factors derived from social med…
Automated machine learning for physics-informed convolutional neural networks
Wanyun Zhou, Haoze Song, Xiaowen Chu
Recent advances in deep learning for solving partial differential equations (PDEs) have introduced physics-informed neural networks (PINNs), which integrate machine learning with p…
DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets
Wanyun Zhou, Saizhuo Wang, Mihai Cucuringu +5
The lead-lag effect, where the price movement of one asset systematically precedes that of another, has been widely observed in financial markets and conveys valuable predictive si…
The Multi-Round Diagnostic RAG Framework for Emulating Clinical Reasoning
Penglei Sun, Yixiang Chen, Xiang Li +1
In recent years, accurately and quickly deploying medical large language models (LLMs) has become a trend. Among these, retrieval-augmented generation (RAG) has garnered attention…
FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
Xiang Li, Penglei Sun, Wanyun Zhou +3
Individual investors are significantly outnumbered and disadvantaged in financial markets, overwhelmed by abundant information and lacking professional analysis. Equity research re…