by horizon-llm · Agent Tool · ★ 67
AlphaQuanter This repository contains the implementation of the paper AlphaQuanter: An End-to-End Tool-Orchestrated Agentic Reinforcement Learning Framework for Stock Trading. 📖 Overview While Large Language Model (LLM) agents show promise in automated trading, they still face critical limitations. Prominent multi-agent frameworks often suffer from inefficiency, produce inconsistent signals, and lack the end-to-end optimization required to learn a coherent strategy from market feedback.
| Stars | 67 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 51.9386146874532/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-03 |
| Created | 2025-10-16 |
| Platforms | python |
| Est. Tokens | ~13k |
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AlphaQuanter is [ACL2026] AlphaQuanter: An End-to-End Tool-Orchestrated Agentic Reinforcement Learning Framework for Stock Trading.. It is categorized as a Agent Tool with 67 GitHub stars.
AlphaQuanter is primarily written in Python. It covers topics such as agent, agentic-rl.
You can find installation instructions and usage details in the AlphaQuanter GitHub repository at github.com/horizon-llm/AlphaQuanter. The project has 67 stars and 11 forks, indicating an active community.