a-share · SkillNav

AkShare A-Stock Quant Skill

A broad AkShare-based quantitative data skill for prices, financials, flows, sectors, IPOs and margin data.

82VF score

Maintainer: awsl1414
Market coverage: A-share · HK · US
GitHub stars: Repository popularity
Updated: 2026-03

Best for

A-share researchers who need breadth across market datasets.

Implementation statusGuide reviewed · 2026-03

Implementation status

a-share

Expected result

Very broad China-market coverage

Known failure mode

Many upstream interfaces increase fragility

Compatibility

A-share · HK · US

Why it stands out

Very broad China-market coverage
Useful for data-driven prompts
No single paid vendor lock-in

Risks and limitations

Many upstream interfaces increase fragility
Field definitions require verification

Examples and expected outcomes

Example 1

Generate a sourced A-share brief

Sourced evidence
Repeatable steps
Explicit uncertainty

Example 2

Compare valuation and money-flow signals

Sourced evidence
Repeatable steps
Explicit uncertainty

Example 3

Screen a ticker list with transparent rules

Sourced evidence
Repeatable steps
Explicit uncertainty

Access requirements

Keys and runtime

No AkShare key; Python environment required

License and data rights

Confirm terms for each AkShare upstream endpoint

Rate limits

Batch tickers and add backoff for broad scans

Connect to your Agent

Claude config

claude skill add --url github.com/openclaw/skills/tree/main/skills/awsl1414/akshare-a-stock

# Project-scoped Agent Skill layout
.claude/skills/akshare-a-stock-review/SKILL.md
.claude/skills/akshare-a-stock-review/references/

# Restart Claude Code and confirm discovery.

Prompt example

“Use AkShare A-Stock Quant Skill to research 600519. List sources and timestamps first, then separate facts, calculations, risks and missing data. Do not give personalized trading advice.”

When not to use it

Many upstream interfaces increase fragility
Field definitions require verification

Installation