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AStockArena: Beyond Returns, Can We Entrust Real Capital to the Decisions of Financial Agents? — arXiv:2611.00515

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.00515
License (as archived): CC0-1.0
Archived: 2026-11-03T10:25:53.135Z
SHA-256 of the archived text: 5312ae0c68d7d8bf0d675f130209dd2290532aaaf75b3c339fe7f116ebba9f60
Stable URL of this page: https://metraipolis.com/documento/dc_d7c677e669c6

How to cite

AStockArena: Beyond Returns, Can We Entrust Real Capital to the Decisions of Financial Agents? — arXiv:2611.00515 — arXiv (en), https://arxiv.org/abs/2611.00515 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_d7c677e669c6 (Metraipolis archive dc_d7c677e669c6, sha256 5312ae0c68d7d8bf0d675f130209dd2290532aaaf75b3c339fe7f116ebba9f60)

BibTeX

@misc{dcd7c677e669c6,
  title = {AStockArena: Beyond Returns, Can We Entrust Real Capital to the Decisions of Financial Agents? — arXiv:2611.00515},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.00515},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_d7c677e669c6; sha256 5312ae0c68d7d8bf0d675f130209dd2290532aaaf75b3c339fe7f116ebba9f60},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.00515. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Large language models (LLMs) are increasingly used in dynamic financial trading, yet real-time trading benchmarks mainly evaluate agents by cumulative returns and risk-adjusted performance. Such outcome metrics cannot show whether trades are faithfully reported, supported by available evidence, and consistent with account states. We introduce AStockArena, a real-time decision-auditing benchmark for continuous trading in China's A-share market. Under shared market conditions and execution constraints, we evaluate 13 open- and closed-source models over 3,198 sequential decisions. AStockArena reconstructsthe actions actually posted to accounts by aligning reports, trade requests, execution responses, and account states, and audits them with eight checks spanning execution traceability (O), evidence sufficiency (RK), and financial meta-awareness (B), combining record verification with consensus expert annotation. Of 1,070 trading points, 72.99% exhibit at least one audit gap; model-level rates range from52.2% to 91.2%, with evidence gaps most prevalent. Historical trade-filtering replay further shows thatportfolio outcomes are sensitive to these flagged trades. Decision-process auditing thus offers a verifiable complement to return-based evaluation of financial agents.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2611.00515 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T10:19:50.013Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).