REPOGEO REPORT · LITE

1nchaos/adata

Default branch main · commit b14f4e57 · scanned 6/21/2026, 4:51:40 AM

GitHub: 4,789 stars · 640 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)

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

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 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 1nchaos/adata, 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

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

OVERALL DIRECTION

highreadme#1
Add a clear, domain-specific tagline under the main README title
Why:
CURRENT
```
# AData
```
COPY-PASTE FIX
```
# AData

免费开源A股量化交易数据库，专注A股量化交易数据，为个人量化交易而生。
```

highabout#2

Rephrase the 'About' description to emphasize A-share financial data upfront

Why:

CURRENT

免费开源A股量化交易数据库； 专注A股，专注量化，向阳而生； 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生，保卫3000点，珍惜底部机会......【股票数据，股票行情数据，股票量化数据，股票交易数据，k线行情数据，股票概念数据，股票数据接口，行情数据接口，量化交易数据】【多数据源融合，动态设置代理，保障数据高可用性】

COPY-PASTE FIX

免费开源A股量化交易数据库，专注提供A股股票行情、K线、交易及概念数据接口，支持多数据源融合与动态代理，保障数据高可用性。为个人量化交易者提供纯净、持续的A股量化数据服务。

mediumtopics#3

Add more specific financial and quantitative finance topics

Why:

CURRENT

3000, a, china, datasource, financial, kline, market-data, quant, stock, stock-data, stock-market-data

COPY-PASTE FIX

3000, a, china, datasource, financial, kline, market-data, quant, stock, stock-data, stock-market-data, a-share, quantitative-finance, trading-data, stock-api, china-stock

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 1nchaos/adata

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Tushare

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Tushare · recommended 2×
Wind (Wind Financial Terminal) · recommended 1×
Choice (Eastmoney Choice Data Terminal) · recommended 1×
JoinQuant (JoinQuant Data API) · recommended 1×
BaoStock · recommended 1×

CATEGORY QUERY
Where can I find reliable A-share stock market data for quantitative analysis?
you: not recommended
AI recommended (in order):
1. Wind (Wind Financial Terminal)
2. Choice (Eastmoney Choice Data Terminal)
3. Tushare
4. JoinQuant (JoinQuant Data API)
5. BaoStock
6. Refinitiv Eikon
7. Bloomberg Terminal
AI recommended 7 alternatives but never named 1nchaos/adata. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What open-source libraries provide historical K-line and trading data for China A-shares?
you: not recommended
AI recommended (in order):
1. Tushare
2. AkShare
3. baostock
4. Quantaxis
5. WindPy
AI recommended 5 alternatives but never named 1nchaos/adata. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 1nchaos/adata?
pass
AI named 1nchaos/adata explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts 1nchaos/adata in production, what risks or prerequisites should they evaluate first?
pass
AI named 1nchaos/adata 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 1nchaos/adata solve, and who is the primary audience?
pass
AI named 1nchaos/adata explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of 1nchaos/adata. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/1nchaos/adata.svg)](https://repogeo.com/en/r/1nchaos/adata)

HTML

<a href="https://repogeo.com/en/r/1nchaos/adata"><img src="https://repogeo.com/badge/1nchaos/adata.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

1nchaos/adata — 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