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MonedaIO/benchmarks

Moneda Bench: finance AI benchmarks by Moneda

装之前:没有可直接复制的命令 · 许可证 MIT · 链接可访问

第一步:pnpm install

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
官方说明Moneda Bench: finance AI benchmarks by Moneda. Harness, graders and public samples. Leaderboards at benchmarks.finance
★ 数取值
0 ★ · MonedaIO/benchmarks · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
来源明细
从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
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收录于 2026-11-03 · 最近见到 2026-11-14 · 共见到 12 次 · 被 1 个来源列出
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综合分 103 · 1 个来源 · repo
常见问题(答案都来自我们的记录)
它适合谁 / 用来做什么?
我们把它归在这些标签下: 开源项目。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 MonedaIO/benchmarks;我们收录于 2026-11-03;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# Moneda Bench

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

By Moneda · Leaderboards: benchmarks.finance · Datasets: FilingsBench · PortfolioBench · CiteBench
Benchmarks for AI systems that answer questions about finance: reading company
filings, doing portfolio arithmetic, and citing sources that actually say what
the answer claims. Leaderboards, method and changelog are at
benchmarks.finance.
This repository holds what you need to rerun the public part of each benchmark
yourself: the harness, the graders, the judge prompts, the item format, each
benchmark's public sample, and the scripts that turn a graded run into a
leaderboard row.
> Provenance. Moneda Bench is created and maintained by Moneda, which also
> builds Numa 1, one of the systems it scores. Every system is run on the same
> items, the same window, the same grader and default settings, and the public
> splits can be rerun by anyone. Moneda is not a regulated firm and does not
> manage portfolios. A score does not certify compliance with any rule, and no
> result is investment advice or investment performance.
## The benchmarks
| Benchmark | Folder | What it tests | Public sample | Graded by | Leaderboard |
| Moneda FilingsBench | filingsbench/ | Can a system find the right SEC filing and period with no document attached, and read the figure correctly? | 44 questions | code against SEC XBRL as first filed; two judges for segment questions | link |
| Moneda PortfolioBench | portfoliobench/ | Portfolio decisions on hypothetical portfolios: rebalancing, volatility, drawdown, VaR, correlation, position sizing, constraints, fund choice | 16 tasks (Part A) | code | link |
| Moneda CiteBench | citebench/ | In a research note, does each linked source say what the claim next to it says? | 11 companies | code plus a two-judge panel per claim, human audit | link |
Coming later, each with its own folder when its first public sample is ready:
Moneda GroundBench (made-up live market figures), Moneda MarketBench
(market-level questions), Moneda KnowledgeBench (finance knowledge) and
Moneda AdviceBench (personal directives without over-refusing education).
In code each benchmark keeps a short key: filings, portfolio, and
verifiability for CiteBench.
## External track: other people's benchmarks, our grading
benchmarks.finance also shows scores Moneda ran on public benchmarks it did
not write, where the grading is Moneda's own rather than the authors'. Their
runners are in external/ so anyone can reproduce those scores.
Each folder holds an adapter that downloads the original data from its
official source at run time (pinned revision, cached outside the repo,
$MONEDABENCHDATADIR), our judge prompts and grading code, the settings of
the published runs, and a README on how the grading differs. None of their
items, answers or per-question files are in this repository, and
scripts/check-public.mjs fails if one is committed.
| Benchmark | Key | Data licence | What is ours | Comparable with the authors' board? |
| FinanceBench (Patronus AI, open sample) | financebench | CC BY-NC 4.0, non-commercial | no documents given; two LLM judges instead of human labels; split panel counts half | No |
| FinanceQA (AfterQuery) | financeqa | Apache-2.0 | code exact match, then two LLM judges instead of human annotators | No |
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来源
github · https://github.com/MonedaIO/benchmarks
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