Sequential trading agents produce decisions, orders, execution receipts, account states, and reports that need not agree, even when the final portfolio value is correctly computed. We present FIDES-Li...
AStockArena is a real‑time decision‑auditing benchmark for continuous trading in China’s A‑share market, evaluating 13 open‑ and closed‑source models over 3,198 sequential decisions. The benchmark reconstructs actual account actions by aligning reports, trade requests, execution responses, and account states, then audits them with eight checks covering execution traceability, evidence sufficiency, and financial meta‑awareness. Across 1,070 trading points, 72.99% show at least one audit gap, with evidence gaps most common, and historical replay demonstrates that flagged trades significantly affect portfolio outcomes.
By Zeyu Liu, Sing Kwong Lai, Xuanzhi Feng, HaoYang Shang, Yang Li, Zihao Fang, Xuan Liu
arXiv:2609.14811v1 Announce Type: new
Abstract: We introduce Crypto Accounting Bench (CAB), a benchmark for assessing whether frontier and open-weight language models can reconstruct the complete jou...
By Kareem Khattab, Omar Khattab, Mohamed Ibrahem
An LLM asked for a trading strategy returns three artifacts at once: a natural-language rationale, an executable implementation, and once run, a track record. Whether these are the same object is rare...
arXiv:2608.23308v1 Announce Type: cross
Abstract: An LLM asked for a trading strategy returns three artifacts at once: a natural-language rationale, an executable implementation, and once run, a trac...
By Arther Tian, Alex Ding, Simon Wu, Aaron Chan
arXiv:2606. 08285v1 Announce Type: new Abstract: Large language models (LLMs) and agentic systems are increasingly proposed for financial trading, yet their reported performance remains difficult to compare because studies vary in data provenance, temporal split discipline, execution timing, turnover treatment, and transaction-cost modeling.
By Junyi Yao, Zihao Zheng