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zzquant/zzshare

自在量化的开放接口

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1skill in this repository
3commits in 30 days

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Individual skills in this repository

How it works

zzquant

When your agent uses it

A-share Quant Data Engine - Expert analysis tool for historical and real-time market data, technical indicators, and market sentiment.

What it loads into context

Frontmatter

44 tokens

Always available to the agent

SKILL.md

1,014 tokens

When the skill is activated

Reference documents

17,062 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Core Capabilities
  2. Best Practices & Instructions
  3. Instructions for Tool Usage
  4. Sample Analytical Flows
  5. Sample Prompts

Scripts executed separately

  • __init__.py
  • test/__init__.py
  • test/client_test.py
  • test_zzshare.py
  • zzshare/__init__.py
  • zzshare/ai_utils.py
  • zzshare/cli.py
  • zzshare/client.py
  • zzshare/core.py
  • zzshare/logger.py
  • zzshare/mcp.py
  • zzshare/utils.py

Files

  • .github/workflows/workflow.ymlasset1,083 bytes
  • .gitignoreasset465 bytes
  • .pypirc.exampleasset279 bytes
  • FUNDAMENTALS.mddoc30,705 bytes
  • LICENSEasset1,064 bytes
  • MANIFEST.inasset117 bytes
  • README.mddoc27,568 bytes
  • SKILL.mdcore4,040 bytes
  • __init__.pyruns0 bytes
  • cli_help.txtdoc7,604 bytes
  • group1103.pngasset208,277 bytes
  • pyproject.tomlasset1,594 bytes
  • smithery.yamlasset323 bytes
  • test/__init__.pyruns24 bytes
  • test/client_test.pyruns12,466 bytes
  • test_zzshare.pyruns2,993 bytes
  • zzshare/__init__.pyruns2,149 bytes
  • zzshare/ai_utils.pyruns3,470 bytes
  • zzshare/cli.pyruns11,424 bytes
  • zzshare/client.pyruns40,830 bytes
  • zzshare/client.pyiasset7,223 bytes
  • zzshare/core.pyruns7,136 bytes
  • zzshare/logger.pyruns1,828 bytes
  • zzshare/mcp.pyruns4,680 bytes
  • zzshare/utils.pyruns1,642 bytes
Read SKILL.md

# zzquant (Zizi Quant)

You are an expert A-share quantitative analyst. You have access to the `zzshare` quantitative data engine, which provides deep market insights, technical analysis, and sentiment indicators for the Chinese stock market.

## Core Capabilities

- **Market Snapshots**: Fetch real-time or historical data for the entire market or specific sectors (Main board, STAR market, GEM, Beijing exchange).
- **Technical Analysis**: Retrieve Daily and Minute-level (1m, 5m, 15m, 30m, 60m) K-lines with support for Forward (qfq) and Backward (hfq) adjustment.
- **Sentiment & Breadth**: Analyze market "mood" through up/down distribution, money flow, and volume trends.
- **Plate & Leaderboard Analysis**: Identify leading sectors (题材, 概念, 行业) and the "Uplimit Tiers" (涨停梯队) to find market leaders.
- **Security Discovery**: Fuzzy search for stock codes by company name or sector.

## Best Practices & Instructions
View the complete source on GitHub

Skills included

  • zzquant

Repository facts

License
MIT
Created
Jan 31, 2026
Last pushed
Nov 4, 2026
Forks
20
Open issues
8
Project activity
Active

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 6, 2026

Show all 48 signals by file

.gitignore

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    [Credential-related source omitted]

README.md

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    pip install git+https://github.com/zzquant/zzshare.git
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    git clone https://github.com/zzquant/zzshare.git
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    > 💡 **提示**:[可选,需要提高访问频率时使用] 接口 Token 可在官网个人资料页面 [点此免费获取](https://quant.zizizaizai.com/me/profile?tab=2&invite_code=E22541A0)。
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    - 数据说明:实时获取 A 股快照数据,支持单支、多代码并发以及通配符筛选全市场。 - **注意**:本接口需要token才能使用, 限制20次/分钟,token在官网个人资料页面获取(<https://quant.zizizaizai.com/me/profile>)
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    - **注意**:本接口需要token才能使用, 限制20次/分钟,token在官网个人资料页面获取(<https://quant.zizizaizai.com/me/profile>)
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    <summary><b>Q: 需要申请 Token 吗?</b></summary> 大部分不需要,但是为了保障接口稳定性,zzshare 部分接口需要 API Token。 您可以在 [个人中心](https://api.zizizaizai.com/user/profile) 免费获取初始 Token。
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    您可以在 [个人中心](https://api.zizizaizai.com/user/profile) 免费获取初始 Token。

__init__.py

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    Executable file

pyproject.toml

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    [project.urls] Homepage = "https://github.com/zzquant/zzshare"
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    Homepage = "https://github.com/zzquant/zzshare"
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    Repository = "https://github.com/zzquant/zzshare"
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    Issues = "https://github.com/zzquant/zzshare/issues"

test/__init__.py

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test/client_test.py

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    timeout=30,             http_url=os.getenv("API_BASE_URL", "https://api.zizizaizai.com")         )
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    http_url=os.getenv("API_BASE_URL", "https://api.zizizaizai.com")

test_zzshare.py

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    Executable file
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    # 获取地址:https://quant.zizizaizai.com/me/profile
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    [Credential-related source omitted]

zzshare/__init__.py

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zzshare/ai_utils.py

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zzshare/cli.py

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zzshare/client.py

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    data = body             elif res.status_code == 401:                 logger.error("Unauthorized. Please check your API token at https://quant.zizizaizai.com/me/profile")
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    elif res.status_code == 401:                 logger.error("Unauthorized. Please check your API token at https://quant.zizizaizai.com/me/profile")             elif res.status_code == 429:
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    logger.error("Unauthorized. Please check your API token at https://quant.zizizaizai.com/me/profile")
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    data = body             elif res.status_code == 401:                 logger.error("Unauthorized. Please check your API token at https://quant.zizizaizai.com/me/profile")
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    elif res.status_code == 401:                 logger.error("Unauthorized. Please check your API token at https://quant.zizizaizai.com/me/profile")             elif res.status_code == 429:
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    logger.error("Unauthorized. Please check your API token at https://quant.zizizaizai.com/me/profile")

zzshare/core.py

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    while True:             try:                 res = requests.get(
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    try:                 res = requests.get(                     url,
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    res = requests.get(

zzshare/logger.py

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    Executable file

zzshare/mcp.py

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    Executable file

zzshare/utils.py

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    Executable file

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 43 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.