BuySideFlow揭示投資研究結果中的時點錯誤

Computer Science > Artificial Intelligence arXiv:2611.

12966 (cs) [Submitted on 7 Nov 2026] Title:BuySideFlow: A Point-in-Time Benchmark for LLM Agents in Investment Research Authors:Dong Bo, Fanjin Zhang, Ke Cheng, Xinxin Zhao, Xiaowei Su, Yang Wang, Jinghang Xu, Cuiping Li, Hong Chen, Jing Zhang View a PDF of the paper titled BuySideFlow: A Point-in-Time Benchmark for LLM Agents in Investment Research, by Dong Bo and 9 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) can generate SQL and SQL--Python workflows for investment research, but ensuring point-in-time (PIT) validity remains challenging.

Agents must enforce disclosure cutoffs and select the appropriate historical states and record versions throughout data retrieval and financial analysis.

We introduce \textsc{BuySideFlow}, a benchmark of 408 practitioner-derived Chinese-language tasks spanning equities, funds, fixed income, and macroeconomics over a fixed snapshot from a licensed production financial database.

We provide executable references and a taxonomy of temporal errors, pairing result checks with expert audits of executed workflows.We evaluate nine agent configurations on all tasks, with result accuracy ranging from 16.2\% to 36.8\%.

An audit of 900 runs on 100 shared tasks confirms PIT violations in 193 of the 380 runs that pass result checks (50.8\%), showing that output agreement alone does not establish temporal validity.Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2611.12966 [cs.AI] (or arXiv:2611.12966v1 [cs.

AI] for this version) https://doi.org/10.48550/arXiv.2611.

12966 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Dong Bo [view email] [v1] Sat, 7 Nov 2026 12:55:19 UTC (502 KB) Full-text links: Access Paper: View a PDF of the paper titled BuySideFlow: A Point-in-Time Benchmark for LLM Agents in Investment Research, by Dong Bo and 9 other authorsView PDFHTML (experimental)TeX Source view license Additional Features Audio Summary Current browse context: cs.

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