REPOGEO REPORT · LITE
simonlin1212/a-stock-data
Default branch main · commit cc54fb64 · scanned 5/27/2026, 7:57:10 AM
GitHub: 2,520 stars · 547 forks
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.
- highreadme#1Reposition README opening to clearly state value for AI assistants and zero dependencies
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: Full-stack China A-Share Data Toolkit for AI Coding Assistants A self-contained Skill file that integrates raw A-share data from 13 scattered data sources into a toolset directly usable by AI programming assistants. It features a 7-layer architecture, 28 endpoints, and zero third-party data encapsulation dependencies, eliminating the need to manage complex API parameters or authentication for various sources.
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
CURRENT(none)
COPY-PASTE FIXhttps://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.
- Wind Financial Terminal (Wind Data) · recommended 1×
- Refinitiv Eikon / Workspace (formerly Thomson Reuters Eikon) · recommended 1×
- Bloomberg Terminal · recommended 1×
- Tushare · recommended 1×
- East Money (东方财富) Data APIs · recommended 1×
- CATEGORY QUERYHow to access comprehensive China A-share market data for AI coding assistants?you: not recommendedAI recommended (in order):
- Wind Financial Terminal (Wind Data)
- Refinitiv Eikon / Workspace (formerly Thomson Reuters Eikon)
- Bloomberg Terminal
- Tushare
- East Money (东方财富) Data APIs
- Quandl (now Nasdaq Data Link)
AI recommended 6 alternatives but never named simonlin1212/a-stock-data. This is the gap to close.
Show full AI answer
- CATEGORY QUERYToolkit for integrating diverse Chinese stock market data sources without third-party API dependencies?you: not recommendedAI recommended (in order):
- requests
- BeautifulSoup
- lxml
- pandas
- Jsoup
- Apache POI
- rvest
- httr
- data.table
- dplyr
- cheerio
- axios
- node-fetch
- papaparse
- HtmlAgilityPack
- HttpClient
- Selenium
- Puppeteer
- PostgreSQL
- MySQL
- MongoDB
AI recommended 21 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
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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