QFinZero: A Unified Financial Toolchain for LLM-Based Trading Agents
Haochen Luo, Yifan LI, Ho Tin Ko, An Binh Minh, Junjie Xu, Tang Pok Hin, Wang Chak Wong, Gao Yuan, Zhengzhao Lai, Yuan Zhang, Chen Liu
Abstract
Large language model (LLM) agents are increasingly applied to financial decision-making tasks that require interaction with external tools, including market data retrieval, news analysis, and trade execution. However, existing trading systems rely on fragmented and task-specific APIs, resulting in inconsistent schemas, complex integration, and limited reproducibility. We present QFinZero, a unified trading environment for LLM-based financial agents. QFinZero standardizes three core capabilities: (i) multi-frequency market and derivatives data access, (ii) structured news and event retrieval, and (iii) stateful brokerage simulation with explicit order lifecycle management. All tools adopt consistent JSON schemas and time-aligned interfaces, enabling agents to acquire information and execute trades within a coherent framework. By abstracting financial interaction into composable, agent-invokable primitives, QFinZero reduces engineering overhead and supports reproducible evaluation through comprehensive logging and deterministic replay. We argue that such a standardized trading environment is essential for scalable research on LLM-based financial agents.- Anthology ID:
- 2026.acl-demo.7
- Volume:
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Month:
- July
- Year:
- 2026
- Address:
- San Diego, California, United States
- Editors:
- Greg Durrett, Ping Jian
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 68–77
- Language:
- URL:
- https://preview.aclanthology.org/ingest-acl/2026.acl-demo.7/
- DOI:
- Cite (ACL):
- Haochen Luo, Yifan LI, Ho Tin Ko, An Binh Minh, Junjie Xu, Tang Pok Hin, Wang Chak Wong, Gao Yuan, Zhengzhao Lai, Yuan Zhang, and Chen Liu. 2026. QFinZero: A Unified Financial Toolchain for LLM-Based Trading Agents. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 68–77, San Diego, California, United States. Association for Computational Linguistics.
- Cite (Informal):
- QFinZero: A Unified Financial Toolchain for LLM-Based Trading Agents (Luo et al., ACL 2026)
- PDF:
- https://preview.aclanthology.org/ingest-acl/2026.acl-demo.7.pdf