FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validation
cs.AI, cs.CE
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/damilab/FaVOR
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- The Llama 3 Herd of Models
- Empirical Asset Pricing with Large Language Model Agents
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining
- GPT-4o System Card
- Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
- Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination
- R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
- Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations
- LLM-Powered Multi-Agent System for Automated Crypto Portfolio Management
- Beyond the Black Box: Interpretability of LLMs in Finance
- QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model
- Qwen3 Technical Report
- Qlib: An AI-oriented Quantitative Investment Platform
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