RRepoGEO

REPOGEO REPORT · LITE

simonlin1212/a-stock-data

Default branch main · commit e40d0655 · scanned 6/26/2026, 8:02:01 AM

GitHub: 5,590 stars · 1,078 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface simonlin1212/a-stock-data, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening paragraph to clarify its role as a full-stack China A-share data toolkit

    Why:

    CURRENT
    # a-stock-data

A 股全栈数据工具包 — 7 层架构 · 28 个端点 · 13 个数据源 · 零第三方数据封装依赖

一个自包含的 Skill 文件，把分散在 13 个数据源里的 A 股原始数据整合成 AI 编程助手直接能用的工具集。你不用再背 mootdx 的 K 线参数、东财的 PDF Referer 头、iwencai 的 X-Claw 鉴权——全部封装好了.
    COPY-PASTE FIX
    # a-stock-data: 中国 A 股全栈数据工具包 (China A-Share Full-Stack Data Toolkit)

这是一个专为 AI 编程助手设计的、自包含的中国 A 股全栈数据工具包。它整合了 13 个数据源的原始数据，提供 7 层架构和 28 个端点，覆盖行情、研报、资金面、筹码、公告等，无需依赖第三方数据封装库。你不再需要记忆复杂的数据源参数或处理鉴权，所有数据获取和处理都已封装完毕。
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/simonlin1212/a-stock-data

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface simonlin1212/a-stock-data
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tushare
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tushare · recommended 2×
  2. Wind Financial Terminal (Wind API) · recommended 1×
  3. East Money Open API (东方财富开放平台) · recommended 1×
  4. Sina Finance API (新浪财经API) · recommended 1×
  5. Tencent Finance API (腾讯财经API) · recommended 1×
  • CATEGORY QUERY
    How can I programmatically access comprehensive China A-share market data for analysis?
    you: not recommended
    AI recommended (in order):
    1. Wind Financial Terminal (Wind API)
    2. Tushare
    3. East Money Open API (东方财富开放平台)
    4. Sina Finance API (新浪财经API)
    5. Tencent Finance API (腾讯财经API)
    6. Refinitiv Eikon / Workspace
    7. Bloomberg Terminal (Bloomberg API)

    AI recommended 7 alternatives but never named simonlin1212/a-stock-data. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python library simplifies fetching and integrating diverse Chinese stock market data sources?
    you: not recommended
    AI recommended (in order):
    1. Tushare
    2. AkShare
    3. BaoStock
    4. WindPy
    5. jqdatasdk
    6. PyShare

    AI recommended 6 alternatives but never named simonlin1212/a-stock-data. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of simonlin1212/a-stock-data?
    pass
    AI named simonlin1212/a-stock-data explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts simonlin1212/a-stock-data in production, what risks or prerequisites should they evaluate first?
    pass
    AI named simonlin1212/a-stock-data explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo simonlin1212/a-stock-data solve, and who is the primary audience?
    pass
    AI did not name simonlin1212/a-stock-data — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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simonlin1212/a-stock-data — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite