FinanceReport 数据研究 · 会员制服务Data Research · Membership
关于我们About Us

把数据做清澈，是我们专注做的事We Exist to Make Data Clear

FinanceReport 是我们自研运营的多资产金融数据平台，覆盖境内外市场，也是一切服务的底座。市场从来不缺信息，缺的是口径干净、能被追问、能指导行动的结论。 FinanceReport is our own multi-asset financial data platform spanning domestic and offshore markets — the foundation of everything we sell. The market doesn't lack information; it lacks conclusions with clean methodology that survive scrutiny.

我们相信什么What We Believe

FinanceReport 团队是一支以 AI 大模型为生产力底座的研究团队：模型负责效率与广度，人负责口径与判断。团队自研并运营 FinanceReport 数据平台（Python / FastAPI / Vue 3 / MySQL），我们不生产"看起来很专业"的厚报告，只交付经得起追问的研究结论。 The FinanceReport team is AI-powered: models bring speed and breadth, humans own methodology and judgment. We built and run the FinanceReport platform (Python / FastAPI / Vue 3 / MySQL) — no impressive-looking thick reports, only conclusions that survive scrutiny.

三条不变的执业原则：Three principles we never bend:

  • 口径先行Methodology First项目启动先对齐指标定义与数据边界，不留在报告里才解释。Metric definitions and data boundaries agreed upfront, not explained after the fact.
  • 逐数可溯Traceable Numbers报告中的每个数字都能追溯到来源、样本与清洗规则。Every figure traces back to its source, sample and cleaning rules.
  • 诚实报告局限Honest About Limits样本不足就说不足，数据缺失就说缺失，不编结论。If the sample is thin or data is missing, we say so — never fabricate.

平台小档案（均为线上真实计数）：Platform facts (all live counts):

  • 30+功能页面——数据概览、财报查询、财务分析、行情、期货、利率外汇、能源化工、宏观、舆情等pages: overview, financials, quotes, futures, rates & FX, energy & chem, macro, sentiment…
  • 16线上数据域，页面按"看世界 → 看中国 → 看海外"的投研路径组织live data domains, organized as an investor's top-down reading path
  • 多源公开渠道接入，定时自动更新，来源全程登记public-data intake, scheduled updates, sources fully logged
  • 统一口径先校验后入库，持续交叉印证，严控数据质量风险validated before storage, continuous cross-checks

团队构成The Team

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研究组 · AI 辅助调研Research · AI-Assisted

基于大模型完成行业广度扫描、调研设计与初稿生成；研究员负责口径审定、深度访谈与结论把关。LLMs drive landscape scanning, research design and drafting; researchers own methodology, in-depth interviews and sign-off.

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数据组 · AI 增强分析Data · AI-Augmented

以大模型加速数据清洗、建模与看板开发，分析流程可复现，模型输出全部经人工验证。LLM-accelerated cleaning, modeling and dashboards — reproducible pipelines, every model output human-verified.

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质控组 · 双重审计QA · Dual Audit

AI 审计与人工复核双重把关：核对口径、抽验数据、挑战结论，拦截静默错误与幻觉。AI audit plus human review: checking methodology, sampling data, stress-testing conclusions, catching silent errors and hallucinations.

注：平台技术文档与数据质量审计记录随项目留档，可供会员查阅。Platform documentation and data-quality audit records are versioned with the project, available to members.