Tushare Finance

Name: Tushare Finance
Author: stanleychanh

stanleychanh/tushare-finance-skill-for-claude-code

5.1k installs
76 repo stars
Updated August 3, 2026
stanleychanh/tushare-finance-skill-for-claude-code

tushare-finance is an agent skill that 获取中国金融市场数据（A股、港股、美股、基金、期货、债券）。支持220+个Tushare Pro接口：股票行情、财务报表、宏观经济指标。当用户请求股价数据、财务分析、指数行情、GDP/CPI等宏观数据时使用。.

About

获取中国金融市场数据（A股、港股、美股、基金、期货、债券）。支持220+个Tushare Pro接口：股票行情、财务报表、宏观经济指标。当用户请求股价数据、财务分析、指数行情、GDP/CPI等宏观数据时使用。本 skill 通过 Tushare Pro API 获取中国金融市场数据，支持 220+ 个数据接口。 ## 快速开始 ### 1. Token 配置 **询问用户**：是否已配置 Tushare Token？如未配置，引导用户： 1. 访问 https://tushare.pro 注册 2. 获取 Token 3. 配置环境变量：`export TUSHARE_TOKEN="your_token"` ### 2. 验证依赖检查 Python 环境： ```bash python -c "import tushare, pandas; print('OK')" ``` 如报错，安装依赖： # Tushare 金融数据 Skill 本 skill 通过 Tushare Pro API 获取中国金融市场数据，支持 220+ 个数据接口。 Token 配置 **询问用户**：是否已配置 Tushare Token？如未配置，引导用户： 1. 访问 https://tushare.pro 注册 2. 配置环境变量：`export TUSHARE_TOKEN="your_token"` ### 2. 验证依赖检查 Python 环境： ```bash python -c "import tushare, pandas; print('OK')" ``` 如报错，安装依赖： ```bash pip install tushare pandas ``` ## 常用接口速查 | 数据类型 | 接口方法 | 说明 | |---------|---------|------| | 股票列表 | `pro.stock_basic()` | 获取所有股票列表 | | 日线行情 | `pro.daily()` | 获取日线行情数据 | | 财务指标 | `pro.fina_indicator()` | 财务指标（ROE等） | | 利润表 | `pro.income()` | 利润表数据 | | 指数行情 | `pro.index_daily()` | 指数日线数据 | | 基金净值 | `pro.fund_nav()` | 基金净值数据 | | GDP数据 | `pro.gdp()` | 国内生产总值 | | CPI数据 | `pro.cpi()` | 居民消费价格指数 | **完整接口列表**：查看 [接口文档索引](reference/README.md) ## 数据获取流程 1.

访问 https://tushare.pro 注册
配置环境变量：export TUSHARE_TOKEN="your_token"
**查找接口**：根据需求在 [接口索引](reference/README.md) 找到对应接口
**阅读文档**：查看 reference/接口文档/[接口名].md 了解参数
**返回结果**：DataFrame 格式

Tushare Finance by the numbers

5,067 all-time installs (skills.sh)
+25 installs in the week ending Aug 5, 2026 (Skillselion tracking)
Ranked #140 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
Security screen: MEDIUM risk (skills.sh audit)
Data as of Aug 4, 2026 (Skillselion catalog sync)

At a glance

tushare-finance capabilities & compatibility

Capabilities: 访问 https://tushare.pro 注册 · 配置环境变量：export tushare_token="your_token" · **查找接口**：根据需求在 [接口索引](reference/readme.md) 找到对应接 · **阅读文档**：查看 reference/接口文档/[接口名].md 了解参数 · **返回结果**：dataframe 格式
Use cases: api development · documentation · trading

From the docs

What tushare-finance says it does

# Tushare 金融数据 Skill 本 skill 通过 Tushare Pro API 获取中国金融市场数据，支持 220+ 个数据接口。

SKILL.md

Token 配置 **询问用户**：是否已配置 Tushare Token？如未配置，引导用户： 1.

SKILL.md

配置环境变量：`export TUSHARE_TOKEN="your_token"` ### 2.

SKILL.md

npx skills add https://github.com/stanleychanh/tushare-finance-skill-for-claude-code --skill tushare-finance

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

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Installs	5.1k
repo stars	★ 76
Security audit	2 / 3 scanners passed
Last updated	August 3, 2026
Repository	stanleychanh/tushare-finance-skill-for-claude-code ↗

What problem does tushare-finance solve for developers working with tushare-finance?

获取中国金融市场数据（A股、港股、美股、基金、期货、债券）。支持220+个Tushare Pro接口：股票行情、财务报表、宏观经济指标。当用户请求股价数据、财务分析、指数行情、GDP/CPI等宏观数据时使用。

Who is it for?

Developers using tushare-finance for tasks described in the skill documentation.

Skip if: Skip when docs are unavailable or the task is outside tushare-finance's documented scope.

When should I use this skill?

What you get

Structured workflows and grounded outputs from SKILL.md when invoking tushare-finance.

Market data DataFrames
Financial statement extracts
Macro indicator tables

By the numbers

Supports 220+ Tushare Pro API interfaces
Covers A-share, HK, US, fund, futures, and bond data types

Files

.github/
- workflows/
reference/
- 接口文档/

SKILL.mdMarkdownGitHub ↗

Tushare 金融数据 Skill

本 skill 通过 Tushare Pro API 获取中国金融市场数据，支持 220+ 个数据接口。

快速开始

1. Token 配置

询问用户：是否已配置 Tushare Token？

如未配置，引导用户： 1. 访问 https://tushare.pro 注册 2. 获取 Token 3. 配置环境变量：export TUSHARE_TOKEN="your_token"

2. 验证依赖

检查 Python 环境：

python -c "import tushare, pandas; print('OK')"

如报错，安装依赖：

pip install tushare pandas

常用接口速查

数据类型	接口方法	说明
股票列表	`pro.stock_basic()`	获取所有股票列表
日线行情	`pro.daily()`	获取日线行情数据
财务指标	`pro.fina_indicator()`	财务指标（ROE等）
利润表	`pro.income()`	利润表数据
指数行情	`pro.index_daily()`	指数日线数据
基金净值	`pro.fund_nav()`	基金净值数据
GDP数据	`pro.gdp()`	国内生产总值
CPI数据	`pro.cpi()`	居民消费价格指数

完整接口列表：查看接口文档索引

数据获取流程

1. 查找接口：根据需求在接口索引找到对应接口 2. 阅读文档：查看 reference/接口文档/[接口名].md 了解参数 3. 编写代码：

   import tushare as ts

   # 初始化（使用环境变量中的 Token）
   pro = ts.pro_api()

   # 调用接口
   df = pro.daily(ts_code='000001.SZ', start_date='20241201', end_date='20241231')

4. 返回结果：DataFrame 格式

参数格式说明

日期：YYYYMMDD（如 20241231）
股票代码：ts_code 格式（如 000001.SZ, 600000.SH）
返回格式：pandas DataFrame

接口文档参考

接口索引：reference/README.md

接口文档按类别组织：

股票数据（39 个接口）
指数数据（18 个接口）
基金数据（11 个接口）
期货期权（16 个接口）
宏观经济（10 个接口）
港股美股（23 个接口）
债券数据（16 个接口）

参考资源

Tushare 官方文档：https://tushare.pro/document/2
API 测试工具：https://tushare.pro/document/1

GitHub Actions 自动同步配置

本项目使用 GitHub Actions 实现自动同步到 ClawHub。

配置步骤

1. 获取 ClawHub Token

# 登录 ClawHub（本地执行）
clawhub login

# 查看你的 token
clawhub whoami
# Token 通常存储在 ~/.config/clawhub/config.json

2. 配置 GitHub Secrets

1. 进入 GitHub 仓库设置页面 2. 导航到 Settings → Secrets and variables → Actions 3. 点击 New repository secret 4. 添加以下 secret：

Name: CLAWHUB_TOKEN
Value: 你的 ClawHub token（从 ~/.config/clawhub/config.json 复制）

3. 测试自动同步

# 修改 metadata.json 中的版本号
# 例如：2.0.0 → 2.0.1

# 提交并推送
git add metadata.json
git commit -m "Bump version to 2.0.1"
git push origin master

# GitHub Actions 会自动触发：
# 1. 发布到 ClawHub
# 2. 创建 GitHub Release

工作流程说明

当你推送代码到 master 分支时，如果修改了以下文件，会自动触发同步：

SKILL.md
metadata.json
README.md
scripts/**
reference/**

自动化步骤

1. ✅ 检出代码 2. ✅ 安装 ClawHub CLI 3. ✅ 使用 CLAWHUB_TOKEN 认证 4. ✅ 从 metadata.json 读取版本号 5. ✅ 发布到 ClawHub 6. ✅ 创建 GitHub Release

注意事项

首次配置：需要手动在 GitHub 仓库中添加 CLAWHUB_TOKEN secret
版本号：每次更新前记得修改 metadata.json 中的版本号
速率限制：ClawHub 有发布速率限制，避免频繁推送
失败重试：如果发布失败，可以在 GitHub Actions 页面手动重新运行

手动发布（备用方案）

如果自动同步失败，可以手动发布：

# 本地执行
clawhub publish . --slug tushare-finance --name "tushare-finance" --version 2.0.1 --changelog "手动发布"

查看同步状态

GitHub Actions: https://github.com/StanleyChanH/Tushare-Finance-Skill-for-Claude-Code/actions
ClawHub 页面: https://clawhub.com/skill/tushare-finance
GitHub Releases: https://github.com/StanleyChanH/Tushare-Finance-Skill-for-Claude-Code/releases

name: Sync Tushare Docs

on:
  # 每周一 UTC 02:00 自动运行（北京时间周一 10:00）
  schedule:
    - cron: '0 2 * * 1'

  # 支持手动触发
  workflow_dispatch:
    inputs:
      dry_run:
        description: '只检测变更，不写入文件'
        required: false
        type: boolean
        default: false
      max_docs:
        description: '最大爬取数量（0=全部，用于测试）'
        required: false
        type: number
        default: 0
      doc_id:
        description: '指定单个 doc_id（留空=全部）'
        required: false
        type: string
        default: ''

permissions:
  contents: write
  pull-requests: write

jobs:
  sync-docs:
    runs-on: ubuntu-latest
    timeout-minutes: 60

    steps:
      - name: Checkout repository
        uses: actions/checkout@v4

      - name: Setup Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'
          cache: 'pip'

      - name: Install Python dependencies
        run: pip install requests playwright beautifulsoup4 markdownify ddddocr

      - name: Install Playwright Chromium
        run: playwright install chromium --with-deps

      - name: Run Tushare doc crawler
        id: crawler
        env:
          TUSHARE_ACCOUNT: ${{ secrets.TUSHARE_ACCOUNT }}
          TUSHARE_PASSWORD: ${{ secrets.TUSHARE_PASSWORD }}
        run: |
          ARGS=""
          if [ "${{ inputs.dry_run }}" = "true" ]; then
            ARGS="$ARGS --dry-run"
          fi
          if [ -n "${{ inputs.max_docs }}" ] && [ "${{ inputs.max_docs }}" != "0" ]; then
            ARGS="$ARGS --max-docs ${{ inputs.max_docs }}"
          fi
          if [ -n "${{ inputs.doc_id }}" ]; then
            ARGS="$ARGS --doc-id ${{ inputs.doc_id }}"
          fi

          echo "Running: python scripts/crawl_docs.py --verbose $ARGS"
          python scripts/crawl_docs.py --verbose $ARGS

      - name: Detect changes
        id: changes
        run: |
          if git diff --quiet; then
            echo "has_changes=false" >> $GITHUB_OUTPUT
            echo "No documentation changes detected"
          else
            echo "has_changes=true" >> $GITHUB_OUTPUT
            echo "Documentation changes detected:"
            git diff --stat
          fi

      - name: Create Pull Request
        if: steps.changes.outputs.has_changes == 'true'
        uses: peter-evans/create-pull-request@v6
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          commit-message: "docs: auto-sync Tushare API documentation"
          title: "Auto-sync: Tushare API documentation updates"
          body: |
            ## Tushare API 文档自动同步

            This PR is auto-generated by [sync-docs.yml](.github/workflows/sync-docs.yml).

            ### Changes
            - Updated API documentation from [Tushare official docs](https://tushare.pro/document/2)
            - Synced `reference/接口文档/` markdown files
            - Updated `reference/all_links.json` index
            - Regenerated `reference/README.md`

            ---
            *Please review the changes before merging.*
          branch: docs/auto-sync-tushare
          base: master
          labels: |
            documentation
            automated
          delete-branch: true

      - name: Summary
        if: always()
        run: |
          echo "## Sync Summary" >> $GITHUB_STEP_SUMMARY
          echo "" >> $GITHUB_STEP_SUMMARY
          if [ "${{ steps.changes.outputs.has_changes }}" = "true" ]; then
            echo "✅ Documentation changes detected and PR created/updated" >> $GITHUB_STEP_SUMMARY
          else
            echo "✅ No documentation changes - all docs are up to date" >> $GITHUB_STEP_SUMMARY
          fi
          echo "" >> $GITHUB_STEP_SUMMARY
          echo "**Sync time**: $(TZ='Asia/Shanghai' date '+%Y-%m-%d %H:%M CST')" >> $GITHUB_STEP_SUMMARY

name: Sync to ClawHub

on:
  push:
    branches: [ master ]
    paths:
      - 'SKILL.md'
      - 'metadata.json'
      - 'README.md'
      - 'scripts/**'
      - 'reference/**'

permissions:
  contents: write

jobs:
  sync:
    runs-on: ubuntu-latest
    timeout-minutes: 10  # 增加超时时间到 10 分钟

    steps:
    - name: Checkout repository
      uses: actions/checkout@v4

    - name: Setup Node.js
      uses: actions/setup-node@v4
      with:
        node-version: '20'

    - name: Install ClawHub CLI
      run: npm install -g clawhub

    - name: Authenticate ClawHub
      env:
        CLAWHUB_TOKEN: ${{ secrets.CLAWHUB_TOKEN }}
      run: |
        clawhub login --token "$CLAWHUB_TOKEN" --no-browser

    - name: Get version from metadata
      id: version
      run: |
        VERSION=$(node -p "require('./metadata.json').version")
        echo "version=$VERSION" >> $GITHUB_OUTPUT

    - name: Publish to ClawHub
      env:
        NODE_OPTIONS: "--max-old-space-size=4096"
      run: |
        echo "Publishing to ClawHub..."
        
        # 尝试发布（允许失败）
        clawhub publish . \
          --slug tushare-finance \
          --name "tushare-finance" \
          --version ${{ steps.version.outputs.version }} \
          --changelog "Automated sync from GitHub commit ${{ github.sha }}" \
          --no-input || true
        
        # 等待一段时间让 ClawHub 处理
        echo "Waiting for ClawHub to process..."
        sleep 30
        
        # 验证是否发布成功
        echo "Verifying publication..."
        if clawhub search tushare-finance | grep -q "v${{ steps.version.outputs.version }}"; then
          echo "✅ Successfully published v${{ steps.version.outputs.version }} to ClawHub!"
        else
          echo "⚠️ Could not verify publication, but this may be due to ClawHub processing delay"
          echo "ℹ️ Please check ClawHub manually: https://clawhub.com/skill/tushare-finance"
        fi

    - name: Create GitHub Release
      uses: actions/create-release@v1
      env:
        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
      with:
        tag_name: v${{ steps.version.outputs.version }}
        release_name: Release v${{ steps.version.outputs.version }}
        body: |
          ## Changes
          Automated release synced to ClawHub

          Commit: ${{ github.sha }}
        draft: false
        prerelease: false

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
Pipfile.lock

# PEP 582
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# IDEs
.vscode/
.idea/
*.swp
*.swo
*~

# OS
.DS_Store
Thumbs.db

# Tushare doc sync state
reference/.content_hashes.json

# Project specific
*.csv
*.xlsx
*.xls
data/

.omc/

MIT License

Copyright (c) 2025 StanleyChanH

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

{
  "name": "tushare-finance",
  "version": "2.1.0",
  "description": "获取中国金融市场数据（A股、港股、美股、基金、期货、债券）。支持220+个Tushare Pro接口：股票行情、财务报表、宏观经济指标。提供Python API客户端、命令行工具和批量导出功能。",
  "author": "StanleyChanH",
  "tags": ["金融数据", "A股", "港股", "美股", "量化", "股票", "基金", "期货", "Tushare", "财务数据", "宏观经济"],
  "repository": "https://github.com/StanleyChanH/Tushare-Finance-Skill-for-Claude-Code",
  "license": "Apache-2.0",
  "dependencies": {
    "python": ">=3.8",
    "packages": ["tushare>=1.3.0", "pandas>=2.0.0", "openpyxl>=3.1.0"]
  },
  "openclaw": {
    "requires": {
      "bins": ["python3"],
      "env": ["TUSHARE_TOKEN"]
    }
  }
}

Tushare API 快速参考

本文档提供最常用的 Tushare API 接口和代码示例。

作者: StanleyChanH

股票数据

获取股票列表

import tushare as ts
pro = ts.pro_api()

# 获取所有正常上市的股票
df = pro.stock_basic(list_status='L')

# 筛选特定交易所
df_sz = pro.stock_basic(exchange='SZSE')  # 深交所
df_sh = pro.stock_basic(exchange='SSE')   # 上交所

获取日线行情

# 单只股票
df = pro.daily(ts_code='000001.SZ', start_date='20241201', end_date='20241231')

# 多只股票
df = pro.daily(ts_code='000001.SZ,600000.SH', start_date='20241201', end_date='20241231')

# 某日所有股票
df = pro.daily(trade_date='20241231')

获取财务数据

# 利润表
df = pro.income(ts_code='600000.SH', start_date='20240101', end_date='20241231')

# 资产负债表
df = pro.balancesheet(ts_code='600000.SH', start_date='20240101', end_date='20241231')

# 现金流量表
df = pro.cashflow(ts_code='600000.SH', start_date='20240101', end_date='20241231')

# 财务指标
df = pro.fina_indicator(ts_code='600000.SH', start_date='20240101', end_date='20241231')

指数数据

获取指数列表

df = pro.index_basic(market='SSE')  # 上交所指数
df = pro.index_basic(market='SZSE') # 深交所指数

获取指数行情

# 上证指数
df = pro.index_daily(ts_code='000001.SH', start_date='20241201', end_date='20241231')

# 深证成指
df = pro.index_daily(ts_code='399001.SZ', start_date='20241201', end_date='20241231')

基金数据

获取基金列表

df = pro.fund_basic(market='E')  # 场内基金
df = pro.fund_basic(market='O')  # 场外基金

获取基金净值

df = pro.fund_nav(ts_code='000001.OF', start_date='20241201', end_date='20241231')

宏观经济

GDP 数据

df = pro.gdp(start_q='2020011', end_q='2024044')

CPI 数据

df = pro.cpi(start_date='20240101', end_date='20241231')

PMI 数据

df = pro.pmi(start_date='20240101', end_date='20241231')

利率数据

# Shibor
df = pro.shibor(start_date='20241201', end_date='20241231')

# LPR
df = pro.lpr(start_date='20241201', end_date='20241231')

港股美股

港股数据

# 港股列表
df = pro.hk_basic()

# 港股行情
df = pro.hk_daily(ts_code='00700.HK', start_date='20241201', end_date='20241231')

美股数据

# 美股列表
df = pro.us_basic()

# 美股行情
df = pro.us_daily(ts_code='AAPL', start_date='20241201', end_date='20241231')

常见查询模式

按日期范围查询

df = pro.daily(
    ts_code='000001.SZ',
    start_date='20240101',  # YYYYMMDD
    end_date='20241231'
)

按交易日查询

df = pro.daily(trade_date='20241231')

获取最新数据

# 先获取最近的交易日
import datetime
today = datetime.datetime.now().strftime('%Y%m%d')
df = pro.daily(trade_date=today)

数据处理技巧

数据清洗

# 去除停牌数据
df = df[df['vol'] > 0]

# 排序
df = df.sort_values('trade_date')

# 重置索引
df = df.reset_index(drop=True)

数据保存

# 保存到 CSV
df.to_csv('data.csv', index=False)

# 保存到 Excel
df.to_excel('data.xlsx', index=False)

错误处理

import tushare as ts

try:
    pro = ts.pro_api('your_token')
    df = pro.daily(ts_code='000001.SZ', start_date='20241201', end_date='20241231')
    print(df.head())
except ts.errors.TushareException as e:
    print(f"Tushare API 错误: {e}")
except Exception as e:
    print(f"错误: {e}")

性能优化

批量获取

# 一次获取多只股票
stock_codes = ['000001.SZ', '600000.SH', '000002.SZ']
df = pro.daily(ts_code=','.join(stock_codes), start_date='20241201', end_date='20241231')

控制请求频率

import time

for stock in stock_codes:
    df = pro.daily(ts_code=stock, start_date='20241201', end_date='20241231')
    time.sleep(0.3)  # 避免超限

常用字段说明

日线行情字段

trade_date: 交易日期
ts_code: 股票代码
open: 开盘价
high: 最高价
low: 最低价
close: 收盘价
vol: 成交量（手）
amount: 成交额（千元）

财务指标字段

end_date: 报告期
roe: 净资产收益率
net_profit_margin: 销售净利率
gross_margin: 销售毛利率
debt_to_assets: 资产负债率

Tushare Finance Skill

![Version](https://github.com/StanleyChanH/Tushare-Finance-Skill-for-Claude-Code) ![License](LICENSE) ![ClawHub](https://clawhub.com) ![Auto Sync](https://github.com/StanleyChanH/Tushare-Finance-Skill-for-Claude-Code/actions/workflows/sync-docs.yml)

获取中国金融市场数据的 OpenClaw Skill，支持 220+ 个 Tushare Pro 接口。

✨ 特性

🚀 开箱即用 - 一键安装，无需复杂配置
📊 全面覆盖 - A股、港股、美股、基金、期货、债券
🔧 多种方式 - Python API、命令行工具、批量导出
📈 实时数据 - 支持股票行情、财务报表、宏观经济
🔄 OpenClaw 集成 - 无缝集成到自动化工作流
📖 完整文档 - 220+ 接口完整索引和使用示例
🤖 自动同步 - GitHub Actions 定期爬取官方文档，自动更新

📥 安装

方法 1：通过 ClawHub（推荐）

clawhub install tushare-finance

方法 2：手动安装

git clone https://github.com/StanleyChanH/Tushare-Finance-Skill-for-Claude-Code.git
cd Tushare-Finance-Skill-for-Claude-Code
pip install -r requirements.txt

🔑 配置

获取 Tushare Token

1. 访问 Tushare Pro 注册账号 2. 在个人中心获取 Token 3. 配置环境变量：

export TUSHARE_TOKEN="your_token_here"

🚀 快速开始

Python API

from scripts.api_client import TushareAPI

# 初始化客户端
api = TushareAPI()

# 查询股票日线行情
df = api.get_stock_daily("000001.SZ", "2024-01-01", "2024-12-31")
print(df.head())

# 查询公司基本信息
info = api.get_stock_info("000001.SZ")
print(info)

# 批量查询多只股票
stocks = ["000001.SZ", "000002.SZ", "600000.SH"]
data = api.batch_query(stocks, "2024-01-01", "2024-12-31")

📊 支持的数据类型

类别	接口数量	示例接口
股票数据	39	`daily`, `stock_basic`, `fina_indicator`, `income`
指数专题	18	`index_daily`, `index_weight`, `index_basic`
公募基金	11	`fund_nav`, `fund_basic`, `fund_hold`
期货期权	16	`futures_daily`, `opt_daily`
宏观经济	10	`gdp`, `cpi`, `pmi`, `shibor`
港股美股	23	`hk_daily`, `us_daily`
债券专题	16	`cb_basic`, `cb_price`
ETF专题	7	`etf_basic`, `fund_etf_hist`
大模型语料	7	`news`, `anns`, `policy`
行业经济	8	`movie`, `box_office`

完整接口列表：查看接口文档索引

🤖 文档自动同步

本项目通过 GitHub Actions 自动从 Tushare 官方文档同步 API 文档。

工作流程

每周一 10:00 CST (自动) / 手动触发
    │
    ├─ Playwright 登录 Tushare
    ├─ ddddocr 自动识别验证码
    ├─ 爬取 220+ 文档页面
    ├─ SHA256 增量对比，只更新有变更的文档
    ├─ 内容质量校验
    └─ 自动创建 Pull Request

手动触发

在 GitHub Actions 页面点击 "Run workflow"，支持以下参数：

参数	说明
`dry_run`	只检测变更，不写入文件
`max_docs`	最大爬取数量（测试用）
`doc_id`	只爬取指定文档

配置 Secrets

需要在仓库 Settings → Secrets 中配置：

Secret	说明
`TUSHARE_ACCOUNT`	Tushare 登录手机号或邮箱
`TUSHARE_PASSWORD`	Tushare 登录密码

📖 文档结构

├── SKILL.md              # Skill 定义文件
├── QUICK_REFERENCE.md    # 快速参考
├── scripts/
│   ├── api_client.py     # Python API 客户端
│   └── crawl_docs.py     # 文档自动同步爬虫
├── reference/
│   ├── README.md         # 接口文档索引
│   ├── all_links.json    # 全部接口链接
│   └── 接口文档/          # 220+ 个接口 Markdown 文件
└── .github/workflows/
    ├── sync-docs.yml     # 文档自动同步工作流
    └── sync-to-clawhub.yml # ClawHub 发布工作流

🤝 贡献

欢迎贡献代码、报告问题或提出建议！

📄 许可证

Apache License 2.0

🙏 致谢

Tushare Pro - 提供高质量金融数据 API
OpenClaw - OpenClaw 框架

📚 相关资源

GitHub：https://github.com/StanleyChanH/Tushare-Finance-Skill-for-Claude-Code
ClawHub：https://clawhub.com/skill/tushare-finance
Tushare 文档：https://tushare.pro/document/2

📊 更新日志

v2.1.0 (2026-06-09)

🤖 新增 GitHub Actions 文档自动同步（每周一 + 手动触发）
🔐 支持 Playwright + ddddocr 自动登录并识别验证码
📊 SHA256 增量对比，只更新有变更的文档
✅ 内容质量校验，自动过滤非文档内容
🔄 自动创建 PR，包含变更统计
📖 自动更新 all_links.json 和 README.md 索引

v2.0.6 (2026-06-08)

🐛 修复 ClawHub CLI 超时问题

v2.0.0 (2026-02-14)

✨ 添加完整的 Python API 客户端
✨ 添加命令行工具
✨ 添加批量导出功能
📖 完善 API 文档和使用示例
🔄 配置 GitHub Actions 自动发布

v1.0.0 (2026-01-10)

🎉 初始版本发布
📊 支持 220+ Tushare Pro 接口

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  {
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    "level": 1
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  {
    "name": "股票技术面因子",
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    "doc_id": "296",
    "level": 1
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  {
    "name": "股票技术面因子(专业版）",
    "url": "https://tushare.pro/document/2?doc_id=328",
    "doc_id": "328",
    "level": 1
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  {
    "name": "中央结算系统持股统计",
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    "doc_id": "295",
    "level": 1
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  {
    "name": "中央结算系统持股明细",
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    "doc_id": "274",
    "level": 1
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  {
    "name": "沪深股通持股明细",
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    "doc_id": "188",
    "level": 1
  },
  {
    "name": "股票开盘集合竞价数据",
    "url": "https://tushare.pro/document/2?doc_id=353",
    "doc_id": "353",
    "level": 1
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  {
    "name": "股票收盘集合竞价数据",
    "url": "https://tushare.pro/document/2?doc_id=354",
    "doc_id": "354",
    "level": 1
  },
  {
    "name": "神奇九转指标",
    "url": "https://tushare.pro/document/2?doc_id=364",
    "doc_id": "364",
    "level": 1
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    "doc_id": "178",
    "level": 1
  },
  {
    "name": "外汇日线行情",
    "url": "https://tushare.pro/document/2?doc_id=179",
    "doc_id": "179",
    "level": 1
  },
  {
    "name": "港股数据",
    "url": "https://tushare.pro/document/2?doc_id=190",
    "doc_id": "190",
    "level": 1
  },
  {
    "name": "港股基础信息",
    "url": "https://tushare.pro/document/2?doc_id=191",
    "doc_id": "191",
    "level": 1
  },
  {
    "name": "港股交易日历",
    "url": "https://tushare.pro/document/2?doc_id=250",
    "doc_id": "250",
    "level": 1
  },
  {
    "name": "港股日线行情",
    "url": "https://tushare.pro/document/2?doc_id=192",
    "doc_id": "192",
    "level": 1
  },
  {
    "name": "港股复权行情",
    "url": "https://tushare.pro/document/2?doc_id=339",
    "doc_id": "339",
    "level": 1
  },
  {
    "name": "港股复权因子",
    "url": "https://tushare.pro/document/2?doc_id=401",
    "doc_id": "401",
    "level": 1
  },
  {
    "name": "港股分钟行情",
    "url": "https://tushare.pro/document/2?doc_id=304",
    "doc_id": "304",
    "level": 1
  },
  {
    "name": "港股实时日线",
    "url": "https://tushare.pro/document/2?doc_id=383",
    "doc_id": "383",
    "level": 1
  },
  {
    "name": "港股利润表",
    "url": "https://tushare.pro/document/2?doc_id=389",
    "doc_id": "389",
    "level": 1
  },
  {
    "name": "港股资产负债表",
    "url": "https://tushare.pro/document/2?doc_id=390",
    "doc_id": "390",
    "level": 1
  },
  {
    "name": "港股现金流量表",
    "url": "https://tushare.pro/document/2?doc_id=391",
    "doc_id": "391",
    "level": 1
  },
  {
    "name": "港股财务指标数据",
    "url": "https://tushare.pro/document/2?doc_id=388",
    "doc_id": "388",
    "level": 1
  },
  {
    "name": "美股数据",
    "url": "https://tushare.pro/document/2?doc_id=251",
    "doc_id": "251",
    "level": 1
  },
  {
    "name": "美股基础信息",
    "url": "https://tushare.pro/document/2?doc_id=252",
    "doc_id": "252",
    "level": 1
  },
  {
    "name": "美股交易日历",
    "url": "https://tushare.pro/document/2?doc_id=253",
    "doc_id": "253",
    "level": 1
  },
  {
    "name": "美股日线行情",
    "url": "https://tushare.pro/document/2?doc_id=254",
    "doc_id": "254",
    "level": 1
  },
  {
    "name": "美股复权行情",
    "url": "https://tushare.pro/document/2?doc_id=338",
    "doc_id": "338",
    "level": 1
  },
  {
    "name": "美股复权因子",
    "url": "https://tushare.pro/document/2?doc_id=402",
    "doc_id": "402",
    "level": 1
  },
  {
    "name": "美股利润表",
    "url": "https://tushare.pro/document/2?doc_id=394",
    "doc_id": "394",
    "level": 1
  },
  {
    "name": "美股资产负债表",
    "url": "https://tushare.pro/document/2?doc_id=395",
    "doc_id": "395",
    "level": 1
  },
  {
    "name": "美股现金流量表",
    "url": "https://tushare.pro/document/2?doc_id=396",
    "doc_id": "396",
    "level": 1
  },
  {
    "name": "美股财务指标数据",
    "url": "https://tushare.pro/document/2?doc_id=393",
    "doc_id": "393",
    "level": 1
  },
  {
    "name": "行业经济",
    "url": "https://tushare.pro/document/2?doc_id=82",
    "doc_id": "82",
    "level": 1
  },
  {
    "name": "TMT行业",
    "url": "https://tushare.pro/document/2?doc_id=83",
    "doc_id": "83",
    "level": 1
  },
  {
    "name": "台湾电子产业月营收",
    "url": "https://tushare.pro/document/2?doc_id=88",
    "doc_id": "88",
    "level": 1
  },
  {
    "name": "台湾电子产业月营收明细",
    "url": "https://tushare.pro/document/2?doc_id=87",
    "doc_id": "87",
    "level": 1
  },
  {
    "name": "电影月度票房",
    "url": "https://tushare.pro/document/2?doc_id=113",
    "doc_id": "113",
    "level": 1
  },
  {
    "name": "电影周度票房",
    "url": "https://tushare.pro/document/2?doc_id=114",
    "doc_id": "114",
    "level": 1
  },
  {
    "name": "电影日度票房",
    "url": "https://tushare.pro/document/2?doc_id=115",
    "doc_id": "115",
    "level": 1
  },
  {
    "name": "影院日度票房",
    "url": "https://tushare.pro/document/2?doc_id=116",
    "doc_id": "116",
    "level": 1
  },
  {
    "name": "全国电影剧本备案数据",
    "url": "https://tushare.pro/document/2?doc_id=156",
    "doc_id": "156",
    "level": 1
  },
  {
    "name": "全国电视剧备案公示数据",
    "url": "https://tushare.pro/document/2?doc_id=180",
    "doc_id": "180",
    "level": 1
  },
  {
    "name": "宏观经济",
    "url": "https://tushare.pro/document/2?doc_id=147",
    "doc_id": "147",
    "level": 1
  },
  {
    "name": "国内宏观",
    "url": "https://tushare.pro/document/2?doc_id=224",
    "doc_id": "224",
    "level": 1
  },
  {
    "name": "利率数据",
    "url": "https://tushare.pro/document/2?doc_id=148",
    "doc_id": "148",
    "level": 1
  },
  {
    "name": "Shibor利率",
    "url": "https://tushare.pro/document/2?doc_id=149",
    "doc_id": "149",
    "level": 1
  },
  {
    "name": "Shibor报价数据",
    "url": "https://tushare.pro/document/2?doc_id=150",
    "doc_id": "150",
    "level": 1
  },
  {
    "name": "LPR贷款基础利率",
    "url": "https://tushare.pro/document/2?doc_id=151",
    "doc_id": "151",
    "level": 1
  },
  {
    "name": "Libor利率",
    "url": "https://tushare.pro/document/2?doc_id=152",
    "doc_id": "152",
    "level": 1
  },
  {
    "name": "Hibor利率",
    "url": "https://tushare.pro/document/2?doc_id=153",
    "doc_id": "153",
    "level": 1
  },
  {
    "name": "温州民间借贷利率",
    "url": "https://tushare.pro/document/2?doc_id=173",
    "doc_id": "173",
    "level": 1
  },
  {
    "name": "广州民间借贷利率",
    "url": "https://tushare.pro/document/2?doc_id=174",
    "doc_id": "174",
    "level": 1
  },
  {
    "name": "国民经济",
    "url": "https://tushare.pro/document/2?doc_id=225",
    "doc_id": "225",
    "level": 1
  },
  {
    "name": "国内生产总值（GDP）",
    "url": "https://tushare.pro/document/2?doc_id=227",
    "doc_id": "227",
    "level": 1
  },
  {
    "name": "价格指数",
    "url": "https://tushare.pro/document/2?doc_id=226",
    "doc_id": "226",
    "level": 1
  },
  {
    "name": "居民消费价格指数（CPI）",
    "url": "https://tushare.pro/document/2?doc_id=228",
    "doc_id": "228",
    "level": 1
  },
  {
    "name": "工业生产者出厂价格指数（PPI）",
    "url": "https://tushare.pro/document/2?doc_id=245",
    "doc_id": "245",
    "level": 1
  },
  {
    "name": "金融",
    "url": "https://tushare.pro/document/2?doc_id=240",
    "doc_id": "240",
    "level": 1
  },
  {
    "name": "货币供应量",
    "url": "https://tushare.pro/document/2?doc_id=241",
    "doc_id": "241",
    "level": 1
  },
  {
    "name": "货币供应量（月）",
    "url": "https://tushare.pro/document/2?doc_id=242",
    "doc_id": "242",
    "level": 1
  },
  {
    "name": "社会融资",
    "url": "https://tushare.pro/document/2?doc_id=309",
    "doc_id": "309",
    "level": 1
  },
  {
    "name": "社融增量（月度）",
    "url": "https://tushare.pro/document/2?doc_id=310",
    "doc_id": "310",
    "level": 1
  },
  {
    "name": "景气度",
    "url": "https://tushare.pro/document/2?doc_id=324",
    "doc_id": "324",
    "level": 1
  },
  {
    "name": "采购经理指数（PMI）",
    "url": "https://tushare.pro/document/2?doc_id=325",
    "doc_id": "325",
    "level": 1
  },
  {
    "name": "国际宏观",
    "url": "https://tushare.pro/document/2?doc_id=217",
    "doc_id": "217",
    "level": 1
  },
  {
    "name": "美国利率",
    "url": "https://tushare.pro/document/2?doc_id=218",
    "doc_id": "218",
    "level": 1
  },
  {
    "name": "国债收益率曲线利率",
    "url": "https://tushare.pro/document/2?doc_id=219",
    "doc_id": "219",
    "level": 1
  },
  {
    "name": "国债实际收益率曲线利率",
    "url": "https://tushare.pro/document/2?doc_id=220",
    "doc_id": "220",
    "level": 1
  },
  {
    "name": "短期国债利率",
    "url": "https://tushare.pro/document/2?doc_id=221",
    "doc_id": "221",
    "level": 1
  },
  {
    "name": "国债长期利率",
    "url": "https://tushare.pro/document/2?doc_id=222",
    "doc_id": "222",
    "level": 1
  },
  {
    "name": "国债长期利率平均值",
    "url": "https://tushare.pro/document/2?doc_id=223",
    "doc_id": "223",
    "level": 1
  },
  {
    "name": "大模型语料专题数据",
    "url": "https://tushare.pro/document/2?doc_id=142",
    "doc_id": "142",
    "level": 1
  },
  {
    "name": "国家政策库",
    "url": "https://tushare.pro/document/2?doc_id=406",
    "doc_id": "406",
    "level": 1
  },
  {
    "name": "新闻快讯（短讯）",
    "url": "https://tushare.pro/document/2?doc_id=143",
    "doc_id": "143",
    "level": 1
  },
  {
    "name": "新闻通讯（长篇）",
    "url": "https://tushare.pro/document/2?doc_id=195",
    "doc_id": "195",
    "level": 1
  },
  {
    "name": "新闻联播文字稿",
    "url": "https://tushare.pro/document/2?doc_id=154",
    "doc_id": "154",
    "level": 1
  },
  {
    "name": "上市公司公告",
    "url": "https://tushare.pro/document/2?doc_id=176",
    "doc_id": "176",
    "level": 1
  },
  {
    "name": "上证e互动问答",
    "url": "https://tushare.pro/document/2?doc_id=366",
    "doc_id": "366",
    "level": 1
  },
  {
    "name": "深证易互动问答",
    "url": "https://tushare.pro/document/2?doc_id=367",
    "doc_id": "367",
    "level": 1
  },
  {
    "name": "财富管理",
    "url": "https://tushare.pro/document/2?doc_id=263",
    "doc_id": "263",
    "level": 1
  },
  {
    "name": "基金销售行业数据",
    "url": "https://tushare.pro/document/2?doc_id=264",
    "doc_id": "264",
    "level": 1
  },
  {
    "name": "各渠道公募基金销售保有规模占比",
    "url": "https://tushare.pro/document/2?doc_id=265",
    "doc_id": "265",
    "level": 1
  },
  {
    "name": "销售机构公募基金销售保有规模",
    "url": "https://tushare.pro/document/2?doc_id=266",
    "doc_id": "266",
    "level": 1
  },
  {
    "name": "数据索引",
    "url": "https://tushare.pro/document/2?doc_id=209",
    "doc_id": "209",
    "level": 1
  },
  {
    "name": "社区捐助",
    "url": "https://tushare.pro/document/2?doc_id=244",
    "doc_id": "244",
    "level": 1
  }
]

Tushare API 接口文档索引

本文档由自动化脚本从Tushare官方文档系统提取。

文档说明

总计: 共提取 220 个接口文档
格式: 所有文档均为Markdown格式
位置: skills/tushare-finance/reference/
更新: 自动化提取，保持与官方文档同步
作者: StanleyChanH

ETF专题

数量: 7 个接口

序号	接口名称	文档ID	文档路径
1	ETF份额规模	408	接口文档/ETF份额规模.md
2	ETF分钟行情	387	接口文档/ETF分钟行情.md
3	ETF基准指数	386	接口文档/ETF基准指数.md
4	ETF基本信息	385	接口文档/ETF基本信息.md
5	ETF复权因子	199	接口文档/ETF复权因子.md
6	ETF实时日线	400	接口文档/ETF实时日线.md
7	ETF日线行情	127	接口文档/ETF日线行情.md

债券专题

数量: 16 个接口

序号	接口名称	文档ID	文档路径
1	可转债发行	186	接口文档/可转债发行.md
2	可转债基础信息	185	接口文档/可转债基础信息.md
3	可转债技术面因子(专业版)	392	接口文档/可转债技术面因子(专业版).md.md)
4	可转债票面利率	305	接口文档/可转债票面利率.md
5	可转债行情	187	接口文档/可转债行情.md
6	可转债赎回信息	269	接口文档/可转债赎回信息.md
7	可转债转股价变动	246	接口文档/可转债转股价变动.md
8	可转债转股结果	247	接口文档/可转债转股结果.md
9	国债实际收益率曲线利率	220	接口文档/国债实际收益率曲线利率.md
10	国债收益率曲线	201	接口文档/国债收益率曲线.md
11	国债收益率曲线利率	219	接口文档/国债收益率曲线利率.md
12	国债长期利率	222	接口文档/国债长期利率.md
13	国债长期利率平均值	223	接口文档/国债长期利率平均值.md
14	柜台流通式债券报价	322	接口文档/柜台流通式债券报价.md
15	柜台流通式债券最优报价	323	接口文档/柜台流通式债券最优报价.md
16	短期国债利率	221	接口文档/短期国债利率.md

公募基金

数量: 11 个接口

序号	接口名称	文档ID	文档路径
1	各渠道公募基金销售保有规模占比	265	接口文档/各渠道公募基金销售保有规模占比.md
2	基金净值	119	接口文档/基金净值.md
3	基金分红	120	接口文档/基金分红.md
4	基金列表	19	接口文档/基金列表.md
5	基金技术面因子(专业版)	359	接口文档/基金技术面因子(专业版).md.md)
6	基金持仓	121	接口文档/基金持仓.md
7	基金管理人	118	接口文档/基金管理人.md
8	基金经理	208	接口文档/基金经理.md
9	基金规模	207	接口文档/基金规模.md
10	基金销售行业数据	264	接口文档/基金销售行业数据.md
11	销售机构公募基金销售保有规模	266	接口文档/销售机构公募基金销售保有规模.md

其他

数量: 67 个接口

序号	接口名称	文档ID	文档路径
1	上市公司基本信息	112	接口文档/上市公司基本信息.md
2	上市公司管理层	193	接口文档/上市公司管理层.md
3	业绩快报	46	接口文档/业绩快报.md
4	业绩预告	45	接口文档/业绩预告.md
5	东方财富App热榜	321	接口文档/东方财富App热榜.md
6	东方财富概念成分	363	接口文档/东方财富概念成分.md
7	东方财富概念板块	362	接口文档/东方财富概念板块.md
8	中央结算系统持股明细	274	接口文档/中央结算系统持股明细.md
9	中央结算系统持股统计	295	接口文档/中央结算系统持股统计.md
10	主营业务构成	81	接口文档/主营业务构成.md
11	交易日历	26	接口文档/交易日历.md
12	交易日历	137	接口文档/交易日历.md
13	做市借券交易汇总(停)	334	接口文档/做市借券交易汇总(停).md.md)
14	全球财经事件	233	接口文档/全球财经事件.md
15	分红送股数据	103	接口文档/分红送股数据.md
16	利润表	33	接口文档/利润表.md
17	券商盈利预测数据	292	接口文档/券商盈利预测数据.md
18	北交所新旧代码对照	375	接口文档/北交所新旧代码对照.md
19	历史Tick行情	314	接口文档/历史Tick行情.md
20	历史分钟	370	接口文档/历史分钟.md
21	历史分钟行情	313	接口文档/历史分钟行情.md
22	历史日线	27	接口文档/历史日线.md
23	合约信息	135	接口文档/合约信息.md
24	同花顺App热榜数	320	接口文档/同花顺App热榜数.md
25	同花顺涨跌停榜单	355	接口文档/同花顺涨跌停榜单.md
26	同花顺行业概念成分	261	接口文档/同花顺行业概念成分.md
27	同花顺行业概念板块	259	接口文档/同花顺行业概念板块.md
28	周/月线复权行情(每日更新)	365	接口文档/周_月线复权行情(每日更新).md.md)
29	周/月线行情(每日更新)	336	接口文档/周_月线行情(每日更新).md.md)
30	周线行情	144	接口文档/周线行情.md
31	备用行情	255	接口文档/备用行情.md
32	复权因子	28	接口文档/复权因子.md
33	复权行情	146	接口文档/复权行情.md
34	实时Tick(爬虫)	315	接口文档/实时Tick(爬虫).md.md)
35	实时分钟	374	接口文档/实时分钟.md
36	实时分钟行情	340	接口文档/实时分钟行情.md
37	实时成交(爬虫)	316	接口文档/实时成交(爬虫).md.md)
38	实时排名(爬虫)	317	接口文档/实时排名(爬虫).md.md)
39	实时日线	372	接口文档/实时日线.md
40	市场游资最全名录	311	接口文档/市场游资最全名录.md
41	开盘竞价成交(当日)	369	接口文档/开盘竞价成交(当日).md.md)
42	日线行情	138	接口文档/日线行情.md
43	月线行情	145	接口文档/月线行情.md
44	榜单数据(开盘啦)	347	接口文档/榜单数据(开盘啦).md.md)
45	每日停复牌信息	214	接口文档/每日停复牌信息.md
46	每日指标	32	接口文档/每日指标.md
47	每日涨跌停价格	183	接口文档/每日涨跌停价格.md
48	每日结算参数	141	接口文档/每日结算参数.md
49	每日股本(盘前)	329	接口文档/每日股本(盘前).md.md)
50	沪深市场每日交易统计	215	接口文档/沪深市场每日交易统计.md
51	沪深股通十大成交股	48	接口文档/沪深股通十大成交股.md
52	沪深股通持股明细	188	接口文档/沪深股通持股明细.md
53	涨停最强板块统计	357	接口文档/涨停最强板块统计.md
54	涨跌停和炸板数据	298	接口文档/涨跌停和炸板数据.md
55	深圳市场每日交易情况	268	接口文档/深圳市场每日交易情况.md
56	游资交易每日明细	312	接口文档/游资交易每日明细.md
57	现金流量表	44	接口文档/现金流量表.md
58	管理层薪酬和持股	194	接口文档/管理层薪酬和持股.md
59	财务审计意见	80	接口文档/财务审计意见.md
60	财务指标数据	79	接口文档/财务指标数据.md
61	财报披露日期表	162	接口文档/财报披露日期表.md
62	资产负债表	36	接口文档/资产负债表.md
63	通用行情接口	109	接口文档/通用行情接口.md
64	通达信板块信息	376	接口文档/通达信板块信息.md
65	通达信板块成分	377	接口文档/通达信板块成分.md
66	通达信板块行情	378	接口文档/通达信板块行情.md
67	题材成分(开盘啦)	351	接口文档/题材成分(开盘啦).md.md)
68	题材数据(开盘啦)	350	接口文档/题材数据(开盘啦).md.md)

外汇数据

数量: 2 个接口

序号	接口名称	文档ID	文档路径
1	外汇基础信息(海外)	178	接口文档/外汇基础信息(海外).md.md)
2	外汇日线行情	179	接口文档/外汇日线行情.md

大模型语料

数量: 7 个接口

序号	接口名称	文档ID	文档路径
1	上市公司公告	176	接口文档/上市公司公告.md
2	上证e互动问答	366	接口文档/上证e互动问答.md
3	国家政策库	406	接口文档/国家政策库.md
4	新闻快讯(短讯)	143	接口文档/新闻快讯(短讯).md.md)
5	新闻联播文字稿	154	接口文档/新闻联播文字稿.md
6	新闻通讯(长篇)	195	接口文档/新闻通讯(长篇).md.md)
7	深证易互动问答	367	接口文档/深证易互动问答.md

宏观经济

数量: 10 个接口

序号	接口名称	文档ID	文档路径
1	Hibor利率	153	接口文档/Hibor利率.md
2	LPR贷款基础利率	151	接口文档/LPR贷款基础利率.md
3	Libor利率	152	接口文档/Libor利率.md
4	Shibor利率	149	接口文档/Shibor利率.md
5	Shibor报价数据	150	接口文档/Shibor报价数据.md
6	国内生产总值(GDP)	227	接口文档/国内生产总值(GDP).md.md)
7	广州民间借贷利率	174	接口文档/广州民间借贷利率.md
8	温州民间借贷利率	173	接口文档/温州民间借贷利率.md
9	社融增量(月度)	310	接口文档/社融增量(月度).md.md)
10	货币供应量(月)	242	接口文档/货币供应量(月).md.md)

指数专题

数量: 18 个接口

序号	接口名称	文档ID	文档路径
1	东财概念和行业指数行情	382	接口文档/东财概念和行业指数行情.md
2	中信行业成分	373	接口文档/中信行业成分.md
3	中信行业指数日行情	308	接口文档/中信行业指数日行情.md
4	南华期货指数行情	155	接口文档/南华期货指数行情.md
5	同花顺概念和行业指数行情	260	接口文档/同花顺概念和行业指数行情.md
6	国际主要指数	211	接口文档/国际主要指数.md
7	大盘指数每日指标	128	接口文档/大盘指数每日指标.md
8	指数周线行情	171	接口文档/指数周线行情.md
9	指数基本信息	94	接口文档/指数基本信息.md
10	指数实时日线	403	接口文档/指数实时日线.md
11	指数成分和权重	96	接口文档/指数成分和权重.md
12	指数技术面因子(专业版)	358	接口文档/指数技术面因子(专业版).md.md)
13	指数日线行情	95	接口文档/指数日线行情.md
14	指数月线行情	172	接口文档/指数月线行情.md
15	申万行业分类	181	接口文档/申万行业分类.md
16	申万行业成分(分级)	335	接口文档/申万行业成分(分级).md.md)
17	申万行业指数日行情	327	接口文档/申万行业指数日行情.md
18	采购经理指数(PMI)	325	接口文档/采购经理指数(PMI).md.md)

期权数据

数量: 3 个接口

序号	接口名称	文档ID	文档路径
1	期权分钟行情	341	接口文档/期权分钟行情.md
2	期权合约信息	158	接口文档/期权合约信息.md
3	期权日线行情	159	接口文档/期权日线行情.md

期货数据

数量: 6 个接口

序号	接口名称	文档ID	文档路径
1	仓单日报	140	接口文档/仓单日报.md
2	期货主力与连续合约	189	接口文档/期货主力与连续合约.md
3	期货主要品种交易周报	216	接口文档/期货主要品种交易周报.md
4	期货合约涨跌停价格	368	接口文档/期货合约涨跌停价格.md
5	期货周/月线行情(每日更新)	337	接口文档/期货周_月线行情(每日更新).md.md)
6	每日持仓排名	139	接口文档/每日持仓排名.md

港股数据

数量: 14 个接口

序号	接口名称	文档ID	文档路径
1	港股交易日历	250	接口文档/港股交易日历.md
2	港股分钟行情	304	接口文档/港股分钟行情.md
3	港股利润表	389	接口文档/港股利润表.md
4	港股基础信息	191	接口文档/港股基础信息.md
5	港股复权因子	401	接口文档/港股复权因子.md
6	港股复权行情	339	接口文档/港股复权行情.md
7	港股实时日线	383	接口文档/港股实时日线.md
8	港股日线行情	192	接口文档/港股日线行情.md
9	港股现金流量表	391	接口文档/港股现金流量表.md
10	港股财务指标数据	388	接口文档/港股财务指标数据.md
11	港股资产负债表	390	接口文档/港股资产负债表.md
12	港股通十大成交股	49	接口文档/港股通十大成交股.md
13	港股通每日成交统计	196	接口文档/港股通每日成交统计.md
14	港股通每月成交统计	197	接口文档/港股通每月成交统计.md

现货数据

数量: 2 个接口

序号	接口名称	文档ID	文档路径
1	上海黄金基础信息	284	接口文档/上海黄金基础信息.md
2	上海黄金现货日行情	285	接口文档/上海黄金现货日行情.md

美股数据

数量: 9 个接口

序号	接口名称	文档ID	文档路径
1	美股交易日历	253	接口文档/美股交易日历.md
2	美股利润表	394	接口文档/美股利润表.md
3	美股基础信息	252	接口文档/美股基础信息.md
4	美股复权因子	402	接口文档/美股复权因子.md
5	美股复权行情	338	接口文档/美股复权行情.md
6	美股日线行情	254	接口文档/美股日线行情.md
7	美股现金流量表	396	接口文档/美股现金流量表.md
8	美股财务指标数据	393	接口文档/美股财务指标数据.md
9	美股资产负债表	395	接口文档/美股资产负债表.md

股票数据

数量: 39 个接口

序号	接口名称	文档ID	文档路径
1	AH股比价	399	接口文档/AH股比价.md
2	IPO新股上市	123	接口文档/IPO新股上市.md
3	ST股票列表	397	接口文档/ST股票列表.md
4	债券回购日行情	256	接口文档/债券回购日行情.md
5	券商月度金股	267	接口文档/券商月度金股.md
6	前十大流通股东	62	接口文档/前十大流通股东.md
7	前十大股东	61	接口文档/前十大股东.md
8	大宗交易	161	接口文档/大宗交易.md
9	大宗交易	271	接口文档/大宗交易.md
10	大宗交易明细	272	接口文档/大宗交易明细.md
11	机构调研数据	275	接口文档/机构调研数据.md
12	每日筹码分布	294	接口文档/每日筹码分布.md
13	每日筹码及胜率	293	接口文档/每日筹码及胜率.md
14	沪深港通股票列表	398	接口文档/沪深港通股票列表.md
15	涨停股票连板天梯	356	接口文档/涨停股票连板天梯.md
16	神奇九转指标	364	接口文档/神奇九转指标.md
17	股东人数	166	接口文档/股东人数.md
18	股东增减持	175	接口文档/股东增减持.md
19	股权质押明细数据	111	接口文档/股权质押明细数据.md
20	股权质押统计数据	110	接口文档/股权质押统计数据.md
21	股票列表	25	接口文档/股票列表.md
22	股票历史列表	262	接口文档/股票历史列表.md
23	股票回购	124	接口文档/股票回购.md
24	股票开户数据(停)	164	接口文档/股票开户数据(停).md.md)
25	股票开户数据(旧)	165	接口文档/股票开户数据(旧).md.md)
26	股票开盘集合竞价数据	353	接口文档/股票开盘集合竞价数据.md
27	股票技术面因子	296	接口文档/股票技术面因子.md
28	股票技术面因子(专业版)	328	接口文档/股票技术面因子(专业版).md.md)
29	股票收盘集合竞价数据	354	接口文档/股票收盘集合竞价数据.md
30	股票曾用名	100	接口文档/股票曾用名.md
31	融资融券交易明细	59	接口文档/融资融券交易明细.md
32	融资融券交易汇总	58	接口文档/融资融券交易汇总.md
33	融资融券标的(盘前)	326	接口文档/融资融券标的(盘前).md.md)
34	转融券交易明细(停)	333	接口文档/转融券交易明细(停).md.md)
35	转融券交易汇总(停)	332	接口文档/转融券交易汇总(停).md.md)
36	转融资交易汇总	331	接口文档/转融资交易汇总.md
37	限售股解禁	160	接口文档/限售股解禁.md
38	龙虎榜机构交易单	107	接口文档/龙虎榜机构交易单.md
39	龙虎榜每日统计单	106	接口文档/龙虎榜每日统计单.md

行业经济

数量: 8 个接口

序号	接口名称	文档ID	文档路径
1	全国电影剧本备案数据	156	接口文档/全国电影剧本备案数据.md
2	全国电视剧备案公示数据	180	接口文档/全国电视剧备案公示数据.md
3	台湾电子产业月营收	88	接口文档/台湾电子产业月营收.md
4	台湾电子产业月营收明细	87	接口文档/台湾电子产业月营收明细.md
5	影院日度票房	116	接口文档/影院日度票房.md
6	电影周度票房	114	接口文档/电影周度票房.md
7	电影日度票房	115	接口文档/电影日度票房.md
8	电影月度票房	113	接口文档/电影月度票房.md

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分类统计

分类	接口数量
ETF专题	7
债券专题	16
公募基金	11
其他	67
外汇数据	2
大模型语料	7
宏观经济	10
指数专题	18
期权数据	3
期货数据	6
港股数据	14
现货数据	2
美股数据	9
股票数据	39
行业经济	8
合计	220

AH股比价

文档ID: 399 原始链接: https://tushare.pro/document/2?doc_id=399

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AH股比价

接口：stk_ah_comparison，可以通过数据工具调试和查看数据。描述：AH股比价数据，可根据交易日期获取历史权限：5000积分起提示：每天盘后17:00更新，单次请求最大返回1000行数据，可循环提取,本接口数据从20250812开始，由于历史不好补充，只能累积

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>hk_code</td> <td>str</td> <td>N</td> <td>港股股票代码（xxxxx.HK)</td> </tr> <tr> <td>ts_code</td> <td>str</td> <td>N</td> <td>A股票代码(xxxxxx.SH/SZ/BJ)</td> </tr> <tr> <td>trade_date</td> <td>str</td> <td>N</td> <td>交易日期（格式：YYYYMMDD下同）</td> </tr> <tr> <td>start_date</td> <td>str</td> <td>N</td> <td>开始日期</td> </tr> <tr> <td>end_date</td> <td>str</td> <td>N</td> <td>结束日期</td> </tr> </tbody></table> 输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>hk_code</td> <td>str</td> <td>Y</td> <td>港股股票代码</td> </tr> <tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>A股股票代码</td> </tr> <tr> <td>trade_date</td> <td>str</td> <td>Y</td> <td>交易日期</td> </tr> <tr> <td>hk_name</td> <td>str</td> <td>Y</td> <td>港股股票名称</td> </tr> <tr> <td>hk_pct_chg</td> <td>float</td> <td>Y</td> <td>港股股票涨跌幅</td> </tr> <tr> <td>hk_close</td> <td>float</td> <td>Y</td> <td>港股股票收盘价</td> </tr> <tr> <td>name</td> <td>str</td> <td>Y</td> <td>A股股票名称</td> </tr> <tr> <td>close</td> <td>float</td> <td>Y</td> <td>A股股票收盘价</td> </tr> <tr> <td>pct_chg</td> <td>float</td> <td>Y</td> <td>A股股票涨跌幅</td> </tr> <tr> <td>ah_comparison</td> <td>float</td> <td>Y</td> <td>比价(A/H)</td> </tr> <tr> <td>ah_premium</td> <td>float</td> <td>Y</td> <td>溢价(A/H)%</td> </tr> </tbody></table> 接口用法


pro = ts.pro_api()

#获取20250812日所有的AH股比价数据
df = pro.stk_ah_comparison(trade_date='20250812')

数据样例

            hk_code    ts_code trade_date   hk_name  hk_pct_chg  hk_close  name  close  pct_chg  ah_comparison  ah_premium
0    02068.HK  601068.SH   20250812      中铝国际        0.78      2.60  中铝国际   5.14     0.00           2.16      115.84
1    03993.HK  603993.SH   20250812      洛阳钼业        0.60     10.07  洛阳钼业   9.85     0.31           1.07        6.80
2    06066.HK  601066.SH   20250812    中信建投证券        1.77     13.25  中信建投  26.09     0.66           2.15      114.99
3    06680.HK  300748.SZ   20250812      金力永磁       -5.67     18.30  金力永磁  27.30    -3.05           1.63       62.88
4    02333.HK  601633.SH   20250812      长城汽车        3.55     14.60  长城汽车  22.93     1.82           1.71       71.48
..        ...        ...        ...       ...         ...       ...   ...    ...      ...            ...         ...
155  06196.HK  002936.SZ   20250812      郑州银行        1.41      1.44  郑州银行   2.10     0.48           1.59       59.22
156  06818.HK  601818.SH   20250812    中国光大银行        1.61      3.78  光大银行   4.10     0.99           1.18       18.43
157  06693.HK  600988.SH   20250812      赤峰黄金        1.76     25.44  赤峰黄金  24.58     0.24           1.05        5.49
158  02196.HK  600196.SH   20250812      复星医药        2.22     19.77  复星医药  27.70     3.36           1.53       52.98
159  01065.HK  600874.SH   20250812  天津创业环保股份        2.24      4.10  创业环保   6.01     0.00           1.60       60.05

ETF份额规模

文档ID: 408 原始链接: https://tushare.pro/document/2?doc_id=408

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接口介绍

接口：etf_share_size描述：获取沪深ETF每日份额和规模数据，能体现规模份额的变化，掌握ETF资金动向，同时提供每日净值和收盘价；数据指标是分批入库，建议在每日19点后提取；另外，涉及海外的ETF数据更新会晚一些属于正常情况。限量：单次最大5000条，可根据代码或日期循环提取积分：需要8000积分可以调取，具体请参阅积分获取办法

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody> <tr> <td>ts_code</td> <td>str</td> <td>N</td> <td>基金代码（可从ETF基础信息接口提取）</td> </tr> <tr> <td>trade_date</td> <td>str</td> <td>N</td> <td>交易日期（YYYYMMDD格式，下同）</td> </tr> <tr> <td>start_date</td> <td>str</td> <td>N</td> <td>开始日期</td> </tr> <tr> <td>end_date</td> <td>str</td> <td>N</td> <td>结束日期</td> </tr> <tr> <td>exchange</td> <td>str</td> <td>N</td> <td>交易所（SSE上交所 SZSE深交所）</td> </tr> </tbody> </table>

输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody> <tr> <td>trade_date</td> <td>str</td> <td>Y</td> <td>交易日期</td> </tr> <tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>ETF代码</td> </tr> <tr> <td>etf_name</td> <td>str</td> <td>Y</td> <td>基金名称</td> </tr> <tr> <td>total_share</td> <td>float</td> <td>Y</td> <td>总份额（万份）</td> </tr> <tr> <td>total_size</td> <td>float</td> <td>Y</td> <td>总规模（万元）</td> </tr> <tr> <td>nav</td> <td>float</td> <td>N</td> <td>基金份额净值(元)</td> </tr> <tr> <td>close</td> <td>float</td> <td>N</td> <td>收盘价（元）</td> </tr> <tr> <td>exchange</td> <td>str</td> <td>Y</td> <td>交易所（SSE上交所 SZSE深交所 BSE北交所）</td> </tr> </tbody> </table>

代码示例

#获取”沪深300ETF华夏”ETF2025年以来每个交易日的份额和规模情况
df = pro.etf_share_size(ts_code='510330.SH', start_date='20250101', end_date='20251224')

#获取2025年12月24日上交所的所有ETF份额和规模情况
df = pro.etf_share_size(trade_date='20251224', exchange='SSE')

数据结果

    trade_date    ts_code       etf_name  total_share    total_size exchange
0     20251224  510330.SH  沪深300ETF华夏   4741854.98  2.287898e+07      SSE
1     20251222  510330.SH  沪深300ETF华夏   4746894.98  2.279127e+07      SSE
2     20251219  510330.SH  沪深300ETF华夏   4756974.98  2.262512e+07      SSE
3     20251218  510330.SH  沪深300ETF华夏   4757514.98  2.253778e+07      SSE
4     20251217  510330.SH  沪深300ETF华夏   4756884.98  2.266418e+07      SSE
..         ...        ...         ...          ...           ...      ...
232   20250108  510330.SH  沪深300ETF华夏   4032384.98  1.599808e+07      SSE
233   20250107  510330.SH  沪深300ETF华夏   4009164.98  1.592962e+07      SSE
234   20250106  510330.SH  沪深300ETF华夏   3999084.98  1.577239e+07      SSE
235   20250103  510330.SH  沪深300ETF华夏   3994674.98  1.578176e+07      SSE
236   20250102  510330.SH  沪深300ETF华夏   3986754.98  1.593905e+07      SSE

ETF分钟行情

文档ID: 387 原始链接: https://tushare.pro/document/2?doc_id=387

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ETF历史分钟行情

接口：stk_mins描述：获取ETF分钟数据，支持1min/5min/15min/30min/60min行情，提供Python SDK和 http Restful API两种方式限量：单次最大8000行数据，可以通过股票代码和时间循环获取，本接口可以提供超过10年ETF历史分钟数据权限：正式权限请参阅权限说明

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>ETF代码，e.g. 159001.SZ</td> </tr> <tr> <td>freq</td> <td>str</td> <td>Y</td> <td>分钟频度（1min/5min/15min/30min/60min）</td> </tr> <tr> <td>start_date</td> <td>datetime</td> <td>N</td> <td>开始日期格式：2025-06-01 09:00:00</td> </tr> <tr> <td>end_date</td> <td>datetime</td> <td>N</td> <td>结束时间格式：2025-06-20 19:00:00</td> </tr> </tbody></table> freq参数说明

<table> <thead> <tr> <th>freq</th> <th>说明</th> </tr> </thead> <tbody><tr> <td>1min</td> <td>1分钟</td> </tr> <tr> <td>5min</td> <td>5分钟</td> </tr> <tr> <td>15min</td> <td>15分钟</td> </tr> <tr> <td>30min</td> <td>30分钟</td> </tr> <tr> <td>60min</td> <td>60分钟</td> </tr> </tbody></table> 输出参数


pro = ts.pro_api()

#获取沪深300ETF华夏510330.SH的历史分钟数据
df = pro.stk_mins(ts_code='510330.SH', freq='1min', start_date='2025-06-20 09:00:00', end_date='2025-06-20 19:00:00')

数据样例

       ts_code           trade_time  close   open   high    low        vol      amount
0    510330.SH  2025-06-20 15:00:00  3.991  3.991  3.992  3.990   800600.0   3194805.0
1    510330.SH  2025-06-20 14:59:00  3.991  3.990  3.991  3.989   182500.0    728177.0
2    510330.SH  2025-06-20 14:58:00  3.990  3.992  3.992  3.990   113700.0    453763.0
3    510330.SH  2025-06-20 14:57:00  3.992  3.992  3.992  3.991    17400.0     69460.0
4    510330.SH  2025-06-20 14:56:00  3.992  3.992  3.992  3.991   447500.0   1786373.0
..         ...                  ...    ...    ...    ...    ...        ...         ...
236  510330.SH  2025-06-20 09:34:00  3.994  3.994  3.995  3.994  2528100.0  10097818.0
237  510330.SH  2025-06-20 09:33:00  3.994  3.991  3.994  3.991   143300.0    572084.0
238  510330.SH  2025-06-20 09:32:00  3.992  3.990  3.993  3.990  1118500.0   4463264.0
239  510330.SH  2025-06-20 09:31:00  3.988  3.984  3.992  3.984  1176100.0   4691600.0
240  510330.SH  2025-06-20 09:30:00  3.983  3.983  3.983  3.983    20700.0     82448.0

ETF基准指数

文档ID: 386 原始链接: https://tushare.pro/document/2?doc_id=386

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ETF基准指数列表

接口：etf_index描述：获取ETF基准指数列表信息限量：单次请求最大返回5000行数据（当前未超过2000个）权限：用户积累8000积分可调取，具体请参阅积分获取办法

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>N</td> <td>指数代码</td> </tr> <tr> <td>pub_date</td> <td>str</td> <td>N</td> <td>发布日期（格式：YYYYMMDD）</td> </tr> <tr> <td>base_date</td> <td>str</td> <td>N</td> <td>指数基期（格式：YYYYMMDD）</td> </tr> </tbody></table> 输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>指数代码</td> </tr> <tr> <td>indx_name</td> <td>str</td> <td>Y</td> <td>指数全称</td> </tr> <tr> <td>indx_csname</td> <td>str</td> <td>Y</td> <td>指数简称</td> </tr> <tr> <td>pub_party_name</td> <td>str</td> <td>Y</td> <td>指数发布机构</td> </tr> <tr> <td>pub_date</td> <td>str</td> <td>Y</td> <td>指数发布日期</td> </tr> <tr> <td>base_date</td> <td>str</td> <td>Y</td> <td>指数基日</td> </tr> <tr> <td>bp</td> <td>float</td> <td>Y</td> <td>指数基点(点)</td> </tr> <tr> <td>adj_circle</td> <td>str</td> <td>Y</td> <td>指数成份证券调整周期</td> </tr> </tbody></table> 接口示例


#获取当前ETF跟踪的基准指数列表
df = pro.etf_index(fields='ts_code,indx_name,pub_date,bp')

数据示例

          ts_code        indx_name         pub_date           bp
0        000068.SH         上证自然资源指数  20100528  1000.000000
1        000001.SH           上证综合指数  19910715   100.000000
2        000989.SH       中证全指可选消费指数  20110802  1000.000000
3       000990.CSI       中证全指主要消费指数  20110802  1000.000000
4        000043.SH         上证超级大盘指数  20090423  1000.000000
...            ...              ...       ...          ...
1458    932368.CSI     中证800自由现金流指数  20241211  1000.000000
1460     000680.SH        上证科创板综合指数  20250120  1000.000000
1461     000681.SH      上证科创板综合价格指数  20250120  1000.000000

ETF基本信息

文档ID: 385 原始链接: https://tushare.pro/document/2?doc_id=385

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ETF基础信息

接口：etf_basic描述：获取国内ETF基础信息，包括了QDII。数据来源与沪深交易所公开披露信息。限量：单次请求最大放回5000条数据（当前ETF总数未超过2000）权限：用户积8000积分可调取，具体请参阅积分获取办法

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>N</td> <td>ETF代码（带.SZ/.SH后缀的6位数字，如：159526.SZ）</td> </tr> <tr> <td>index_code</td> <td>str</td> <td>N</td> <td>跟踪指数代码</td> </tr> <tr> <td>list_date</td> <td>str</td> <td>N</td> <td>上市日期（格式：YYYYMMDD）</td> </tr> <tr> <td>list_status</td> <td>str</td> <td>N</td> <td>上市状态（L上市 D退市 P待上市）</td> </tr> <tr> <td>exchange</td> <td>str</td> <td>N</td> <td>交易所（SH上交所 SZ深交所）</td> </tr> <tr> <td>mgr</td> <td>str</td> <td>N</td> <td>管理人（简称，e.g.华夏基金)</td> </tr> </tbody></table> 输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>基金交易代码</td> </tr> <tr> <td>csname</td> <td>str</td> <td>Y</td> <td>ETF中文简称</td> </tr> <tr> <td>extname</td> <td>str</td> <td>Y</td> <td>ETF扩位简称(对应交易所简称)</td> </tr> <tr> <td>cname</td> <td>str</td> <td>Y</td> <td>基金中文全称</td> </tr> <tr> <td>index_code</td> <td>str</td> <td>Y</td> <td>ETF基准指数代码</td> </tr> <tr> <td>index_name</td> <td>str</td> <td>Y</td> <td>ETF基准指数中文全称</td> </tr> <tr> <td>setup_date</td> <td>str</td> <td>Y</td> <td>设立日期（格式：YYYYMMDD）</td> </tr> <tr> <td>list_date</td> <td>str</td> <td>Y</td> <td>上市日期（格式：YYYYMMDD）</td> </tr> <tr> <td>list_status</td> <td>str</td> <td>Y</td> <td>存续状态（L上市 D退市 P待上市）</td> </tr> <tr> <td>exchange</td> <td>str</td> <td>Y</td> <td>交易所（上交所SH 深交所SZ）</td> </tr> <tr> <td>mgr_name</td> <td>str</td> <td>Y</td> <td>基金管理人简称</td> </tr> <tr> <td>custod_name</td> <td>str</td> <td>Y</td> <td>基金托管人名称</td> </tr> <tr> <td>mgt_fee</td> <td>float</td> <td>Y</td> <td>基金管理人收取的费用</td> </tr> <tr> <td>etf_type</td> <td>str</td> <td>Y</td> <td>基金投资通道类型（境内、QDII）</td> </tr> </tbody></table> 接口示例


#获取当前所有上市的ETF列表
df = pro.etf_basic(list_status='L', fields='ts_code,extname,index_code,index_name,exchange,mgr_name')


#获取“嘉实基金”所有上市的ETF列表
df = pro.etf_basic(mgr='嘉实基金'， list_status='L', fields='ts_code,extname,index_code,index_name,exchange,etf_type')


#获取“嘉实基金”在深交所上市的所有ETF列表
df = pro.etf_basic(mgr='嘉实基金'， list_status='L', exchange='SZ', fields='ts_code,extname,index_code,index_name,exchange,etf_type')


#获取以沪深300指数为跟踪指数的所有上市的ETF列表
df = pro.etf_basic(index_code='000300.SH', fields='ts_code,extname,index_code,index_name,exchange,mgr_name')

数据示例

      ts_code       extname    index_code    index_name exchange   mgr_name
0   159238.SZ      300ETF增强  000300.SH    沪深300指数       SZ   景顺长城基金
1   159300.SZ        300ETF  000300.SH    沪深300指数       SZ     富国基金
2   159330.SZ    沪深300ETF基金  000300.SH    沪深300指数       SZ   西藏东财基金
3   159393.SZ    沪深300指数ETF  000300.SH    沪深300指数       SZ     万家基金
4   159673.SZ    沪深300ETF鹏华  000300.SH    沪深300指数       SZ     鹏华基金
5   159919.SZ      沪深300ETF  000300.SH    沪深300指数       SZ     嘉实基金
6   159925.SZ    沪深300ETF南方  000300.SH    沪深300指数       SZ     南方基金
7   159927.SZ     鹏华沪深300指数  000300.SH    沪深300指数       SZ     鹏华基金
8   510300.SH      沪深300ETF  000300.SH    沪深300指数       SH   华泰柏瑞基金
9   510310.SH   沪深300ETF易方达  000300.SH    沪深300指数       SH    易方达基金
10  510320.SH    沪深300ETF中金  000300.SH    沪深300指数       SH     中金基金
11  510330.SH    沪深300ETF华夏  000300.SH    沪深300指数       SH     华夏基金
12  510350.SH    沪深300ETF工银  000300.SH    沪深300指数       SH   工银瑞信基金
13  510360.SH    沪深300ETF基金  000300.SH    沪深300指数       SH     广发基金
14  510370.SH      300指数ETF  000300.SH    沪深300指数       SH     兴业基金
15  510380.SH      国寿300ETF  000300.SH    沪深300指数       SH   国寿安保基金
16  510390.SH    沪深300ETF平安  000300.SH    沪深300指数       SH     平安基金
17  515130.SH    沪深300ETF博时  000300.SH    沪深300指数       SH     博时基金
18  515310.SH    沪深300指数ETF  000300.SH    沪深300指数       SH    汇添富基金
19  515330.SH    沪深300ETF天弘  000300.SH    沪深300指数       SH     天弘基金
20  515350.SH    民生加银300ETF  000300.SH    沪深300指数       SH   民生加银基金
21  515360.SH    方正沪深300ETF  000300.SH    沪深300指数       SH   方正富邦基金
22  515380.SH    沪深300ETF泰康  000300.SH    沪深300指数       SH     泰康基金
23  515390.SH  沪深300ETF指数基金  000300.SH    沪深300指数       SH     华安基金
24  515660.SH   沪深300ETF国联安  000300.SH    沪深300指数       SH    国联安基金
25  515930.SH    永赢沪深300ETF  000300.SH    沪深300指数       SH     永赢基金
26  561000.SH  沪深300ETF增强基金  000300.SH    沪深300指数       SH     华安基金
27  561300.SH      300增强ETF  000300.SH    沪深300指数       SH     国泰基金
28  561930.SH    沪深300ETF招商  000300.SH    沪深300指数       SH     招商基金
29  561990.SH    沪深300增强ETF  000300.SH    沪深300指数       SH     招商基金
30  563520.SH    沪深300ETF永赢  000300.SH    沪深300指数       SH     永赢基金

ETF复权因子

文档ID: 199 原始链接: https://tushare.pro/document/2?doc_id=199

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基金复权因子

接口：fund_adj描述：获取基金复权因子，用于计算基金复权行情限量：单次最大提取2000行记录，可循环提取，数据总量不限制积分：用户积600积分可调取，超过5000积分以上频次相对较高。具体请参阅积分获取办法

复权行情实现参考：

后复权 = 当日最新价 × 当日复权因子前复权 = 当日最新价 ÷ 最新复权因子

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>N</td> <td>TS基金代码（支持多只基金输入）</td> </tr> <tr> <td>trade_date</td> <td>str</td> <td>N</td> <td>交易日期（格式：yyyymmdd，下同）</td> </tr> <tr> <td>start_date</td> <td>str</td> <td>N</td> <td>开始日期</td> </tr> <tr> <td>end_date</td> <td>str</td> <td>N</td> <td>结束日期</td> </tr> <tr> <td>offset</td> <td>str</td> <td>N</td> <td>开始行数</td> </tr> <tr> <td>limit</td> <td>str</td> <td>N</td> <td>最大行数</td> </tr> </tbody></table> 输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>ts基金代码</td> </tr> <tr> <td>trade_date</td> <td>str</td> <td>Y</td> <td>交易日期</td> </tr> <tr> <td>adj_factor</td> <td>float</td> <td>Y</td> <td>复权因子</td> </tr> </tbody></table> 接口使用


pro = ts.pro_api()

df = pro.fund_adj(ts_code='513100.SH', start_date='20190101', end_date='20190926')

数据示例

     ts_code    trade_date  adj_factor
0    513100.SH   20190926         1.0
1    513100.SH   20190925         1.0
2    513100.SH   20190924         1.0
3    513100.SH   20190923         1.0
4    513100.SH   20190920         1.0
5    513100.SH   20190919         1.0
6    513100.SH   20190918         1.0
7    513100.SH   20190917         1.0
8    513100.SH   20190916         1.0
9    513100.SH   20190912         1.0
10   513100.SH   20190911         1.0
11   513100.SH   20190910         1.0
12   513100.SH   20190909         1.0
13   513100.SH   20190906         1.0
14   513100.SH   20190905         1.0
15   513100.SH   20190904         1.0
16   513100.SH   20190903         1.0
17   513100.SH   20190902         1.0
18   513100.SH   20190830         1.0
19   513100.SH   20190829         1.0
20   513100.SH   20190828         1.0

ETF实时日线

文档ID: 400 原始链接: https://tushare.pro/document/2?doc_id=400

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ETF实时日线

接口：rt_etf_k描述：获取ETF实时日k线行情，支持按ETF代码或代码通配符一次性提取全部ETF实时日k线行情积分：本接口是单独开权限的数据，单独申请权限请参考权限列表

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody> <tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>支持通配符方式，e.g. 5.SH、15.SZ、159101.SZ</td> </tr> <tr> <td>topic</td> <td>str</td> <td>Y</td> <td>分类参数，取上海ETF时，需要输入'HQ_FND_TICK'，参考下面例子</td> </tr> </tbody> </table> 注：ts_code代码一定要带.SH/.SZ/.BJ后缀

输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody> <tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>ETF代码</td> </tr> <tr> <td>name</td> <td>None</td> <td>Y</td> <td>ETF名称</td> </tr> <tr> <td>pre_close</td> <td>float</td> <td>Y</td> <td>昨收价</td> </tr> <tr> <td>high</td> <td>float</td> <td>Y</td> <td>最高价</td> </tr> <tr> <td>open</td> <td>float</td> <td>Y</td> <td>开盘价</td> </tr> <tr> <td>low</td> <td>float</td> <td>Y</td> <td>最低价</td> </tr> <tr> <td>close</td> <td>float</td> <td>Y</td> <td>收盘价（最新价）</td> </tr> <tr> <td>vol</td> <td>int</td> <td>Y</td> <td>成交量（股）</td> </tr> <tr> <td>amount</td> <td>int</td> <td>Y</td> <td>成交金额（元）</td> </tr> <tr> <td>num</td> <td>int</td> <td>Y</td> <td>开盘以来成交笔数</td> </tr> <tr> <td>ask_volume1</td> <td>int</td> <td>N</td> <td>委托卖盘（股）</td> </tr> <tr> <td>bid_volume1</td> <td>int</td> <td>N</td> <td>委托买盘（股）</td> </tr> <tr> <td>trade_time</td> <td>str</td> <td>N</td> <td>交易时间</td> </tr> </tbody> </table> 接口示例

#获取今日所有深市ETF实时日线和成交笔数
df = pro.rt_etf_k(ts_code='1*.SZ')

#获取今日沪市所有ETF实时日线和成交笔数
df = pro.rt_etf_k(ts_code='5*.SH', topic='HQ_FND_TICK')

数据示例

       ts_code      name      pre_close     high     open     low    close        vol     amount    num
0    520860.SH      港股通科      1.024    1.054    1.048   1.041    1.048   15071600   15780985    307
1    515320.SH    电子50        1.173    1.211    1.184   1.184    1.206    1830600    2191339     98
2    511600.SH    货币ETF     100.008  100.003  100.002  99.999  100.000      12022    1202204     28
3    501075.SH      科创主题      2.350    2.400    2.357   2.357    2.400       4200      10040     11
4    589990.SH      科创板综      1.282    1.311    1.280   1.280    1.305    4178600    5413728    147
..         ...       ...        ...      ...      ...     ...      ...        ...        ...    ...
933  516590.SH      电动汽车      1.244    1.277    1.252   1.252    1.270    1380800    1748398     79
934  502048.SH  50LOF         1.224    1.238    1.235   1.214    1.218       3200       3908      5
935  515850.SH      证券龙头      1.519    1.538    1.523   1.520    1.523   11460000   17484157    688
936  515790.SH    光伏ETF       0.912    0.929    0.919   0.910    0.923  411566128  379094370  14939
937  516190.SH    文娱ETF       1.137    1.154    1.151   1.146    1.151    1031700    1186303     87

ETF日线行情

文档ID: 127 原始链接: https://tushare.pro/document/2?doc_id=127

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ETF日线行情

接口：fund_daily描述：获取ETF行情每日收盘后成交数据，历史超过10年限量：单次最大2000行记录，可以根据ETF代码和日期循环获取历史，总量不限制积分：需要至少5000积分才可以调取，5000积分频次更高，具体请参阅积分获取办法

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody> <tr> <td>ts_code</td> <td>str</td> <td>N</td> <td>基金代码</td> </tr> <tr> <td>trade_date</td> <td>str</td> <td>N</td> <td>交易日期(YYYYMMDD格式，下同)</td> </tr> <tr> <td>start_date</td> <td>str</td> <td>N</td> <td>开始日期</td> </tr> <tr> <td>end_date</td> <td>str</td> <td>N</td> <td>结束日期</td> </tr> </tbody> </table> 输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody> <tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>TS代码</td> </tr> <tr> <td>trade_date</td> <td>str</td> <td>Y</td> <td>交易日期</td> </tr> <tr> <td>open</td> <td>float</td> <td>Y</td> <td>开盘价(元)</td> </tr> <tr> <td>high</td> <td>float</td> <td>Y</td> <td>最高价(元)</td> </tr> <tr> <td>low</td> <td>float</td> <td>Y</td> <td>最低价(元)</td> </tr> <tr> <td>close</td> <td>float</td> <td>Y</td> <td>收盘价(元)</td> </tr> <tr> <td>pre_close</td> <td>float</td> <td>Y</td> <td>昨收盘价(元)</td> </tr> <tr> <td>change</td> <td>float</td> <td>Y</td> <td>涨跌额(元)</td> </tr> <tr> <td>pct_chg</td> <td>float</td> <td>Y</td> <td>涨跌幅(%)</td> </tr> <tr> <td>vol</td> <td>float</td> <td>Y</td> <td>成交量(手)</td> </tr> <tr> <td>amount</td> <td>float</td> <td>Y</td> <td>成交额(千元)</td> </tr> </tbody> </table> 接口示例

pro = ts.pro_api()

#获取”沪深300ETF华夏”ETF2025年以来的行情，并通过fields参数指定输出了部分字段
df = pro.fund_daily(ts_code='510330.SH', start_date='20250101', end_date='20250618', fields='trade_date,open,high,low,close,vol,amount')

数据示例

   trade_date   open   high    low  close         vol       amount
0     20250618  4.008  4.024  3.996  4.017   382896.00   153574.446
1     20250617  4.015  4.022  4.000  4.014   440272.04   176617.125
2     20250616  4.000  4.018  3.996  4.015   423526.00   169788.251
3     20250613  4.023  4.028  3.992  4.004  1216787.53   487632.318
4     20250612  4.023  4.039  4.005  4.032   574727.00   231356.321
..         ...    ...    ...    ...    ...         ...          ...
104   20250108  3.971  3.992  3.908  3.963  3200416.00  1267465.456
105   20250107  3.939  3.974  3.929  3.973  2239739.00   885818.954
106   20250106  3.950  3.964  3.917  3.943  1583794.00   624004.760
107   20250103  4.002  4.013  3.944  3.963  2025111.00   805573.289
108   20250102  4.110  4.117  3.973  4.001  1768592.00   714820.885

Hibor利率

文档ID: 153 原始链接: https://tushare.pro/document/2?doc_id=153

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Hibor利率

接口：hibor描述：Hibor利率限量：单次最大4000行数据，总量不限制，可通过设置开始和结束日期分段获取积分：用户积累120积分可以调取，具体请参阅积分获取办法

HIBOR (Hongkong InterBank Offered Rate)，是香港银行同行业拆借利率。指香港货币市场上，银行与银行之间的一年期以下的短期资金借贷利率，从伦敦同业拆借利率（LIBOR）变化出来的。

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>date</td> <td>str</td> <td>N</td> <td>日期 (日期输入格式：YYYYMMDD，下同)</td> </tr> <tr> <td>start_date</td> <td>str</td> <td>N</td> <td>开始日期</td> </tr> <tr> <td>end_date</td> <td>str</td> <td>N</td> <td>结束日期</td> </tr> </tbody></table> 输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>date</td> <td>str</td> <td>Y</td> <td>日期</td> </tr> <tr> <td>on</td> <td>float</td> <td>Y</td> <td>隔夜</td> </tr> <tr> <td>1w</td> <td>float</td> <td>Y</td> <td>1周</td> </tr> <tr> <td>2w</td> <td>float</td> <td>Y</td> <td>2周</td> </tr> <tr> <td>1m</td> <td>float</td> <td>Y</td> <td>1个月</td> </tr> <tr> <td>2m</td> <td>float</td> <td>Y</td> <td>2个月</td> </tr> <tr> <td>3m</td> <td>float</td> <td>Y</td> <td>3个月</td> </tr> <tr> <td>6m</td> <td>float</td> <td>Y</td> <td>6个月</td> </tr> <tr> <td>12m</td> <td>float</td> <td>Y</td> <td>12个月</td> </tr> </tbody></table> 接口调用


pro = ts.pro_api()

df = pro.hibor(start_date='20180101', end_date='20181130')

数据样例

     date       on       1w       2w       1m       2m       3m       6m  \
0    20181130  1.52500  1.10125  1.08000  1.20286  1.83030  2.03786  2.32821   
1    20181129  0.76143  0.95643  1.01036  1.12357  1.80493  2.01018  2.31643   
2    20181128  0.66786  0.95607  0.99929  1.10964  1.77104  1.97643  2.30143   
3    20181127  0.71357  0.95536  0.99786  1.09321  1.76321  1.98351  2.30374   
4    20181126  0.68821  0.92821  0.99107  1.08214  1.75161  1.97742  2.29957   
5    20181123  0.68571  0.84000  0.91036  1.08214  1.75304  1.97591  2.30088   
6    20181122  0.47161  0.59750  0.76750  1.01214  1.73125  1.96500  2.29250   
7    20181121  0.36893  0.56571  0.74429  0.98929  1.71071  1.96569  2.29286   
8    20181120  0.38964  0.58214  0.75464  1.01107  1.70839  1.96571  2.28893   
9    20181119  0.39672  0.59893  0.77464  1.04143  1.71143  1.96643  2.28643   
10   20181116  0.44429  0.60321  0.75214  1.04429  1.71500  1.96750  2.28893   
11   20181115  0.39179  0.63571  0.77857  1.04627  1.71722  1.97607  2.28697   
12   20181114  0.34571  0.64026  0.78821  1.06393  1.72875  2.00000  2.29554   
13   20181113  0.59232  0.82643  0.91643  1.09286  1.77786  2.06920  2.30982   
14   20181112  0.53571  0.75419  0.83321  1.03536  1.75734  2.08286  2.29929   
15   20181109  0.51571  0.75393  0.83321  1.03464  1.76018  2.08179  2.30283   
16   20181108  0.60536  0.75293  0.85179  1.03357  1.75866  2.08107  2.29907   
17   20181107  0.58071  0.72679  0.83107  1.04714  1.74804  2.08467  2.30446   
18   20181106  0.48714  0.67750  0.78786  1.02536  1.72821  2.08071  2.30589   
19   20181105  0.44929  0.68500  0.80214  1.04321  1.72500  2.08179  2.31941   
20   20181102  0.45571  0.73542  0.87679  1.10536  1.73732  2.10018  2.33276

         12m  
0    2.65929  
1    2.65500  
2    2.65643  
3    2.65571  
4    2.65446  
5    2.65375  
6    2.64750  
7    2.64618  
8    2.63946  
9    2.63960  
10   2.64321  
11   2.64286  
12   2.64857  
13   2.66286  
14   2.65607  
15   2.65857  
16   2.65357  
17   2.65596  
18   2.65464  
19   2.65857  
20   2.67857

IPO新股上市

文档ID: 123 原始链接: https://tushare.pro/document/2?doc_id=123

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IPO新股列表

接口：new_share描述：获取新股上市列表数据限量：单次最大2000条，总量不限制积分：用户需要至少120积分才可以调取，具体请参阅积分获取办法

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>必选</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>start_date</td> <td>str</td> <td>N</td> <td>上网发行开始日期</td> </tr> <tr> <td>end_date</td> <td>str</td> <td>N</td> <td>上网发行结束日期</td> </tr> </tbody></table> 输出参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>ts_code</td> <td>str</td> <td>Y</td> <td>TS股票代码</td> </tr> <tr> <td>sub_code</td> <td>str</td> <td>Y</td> <td>申购代码</td> </tr> <tr> <td>name</td> <td>str</td> <td>Y</td> <td>名称</td> </tr> <tr> <td>ipo_date</td> <td>str</td> <td>Y</td> <td>上网发行日期</td> </tr> <tr> <td>issue_date</td> <td>str</td> <td>Y</td> <td>上市日期</td> </tr> <tr> <td>amount</td> <td>float</td> <td>Y</td> <td>发行总量（万股）</td> </tr> <tr> <td>market_amount</td> <td>float</td> <td>Y</td> <td>上网发行总量（万股）</td> </tr> <tr> <td>price</td> <td>float</td> <td>Y</td> <td>发行价格</td> </tr> <tr> <td>pe</td> <td>float</td> <td>Y</td> <td>市盈率</td> </tr> <tr> <td>limit_amount</td> <td>float</td> <td>Y</td> <td>个人申购上限（万股）</td> </tr> <tr> <td>funds</td> <td>float</td> <td>Y</td> <td>募集资金（亿元）</td> </tr> <tr> <td>ballot</td> <td>float</td> <td>Y</td> <td>中签率</td> </tr> </tbody></table> 接口示例


pro = ts.pro_api()

df = pro.new_share(start_date='20180901', end_date='20181018')

数据示例

  ts_code       sub_code  name  ipo_date    issue_date   amount  market_amount  \
0   002939.SZ   002939  长城证券  20181017       None  31034.0        27931.0   
1   002940.SZ   002940   昂利康  20181011   20181023   2250.0         2025.0   
2   601162.SH   780162  天风证券  20181009   20181019  51800.0        46620.0   
3   300694.SZ   300694  蠡湖股份  20180927   20181015   5383.0         4845.0   
4   300760.SZ   300760  迈瑞医疗  20180927   20181016  12160.0        10944.0   
5   300749.SZ   300749  顶固集创  20180913   20180925   2850.0         2565.0   
6   002937.SZ   002937  兴瑞科技  20180912   20180926   4600.0         4140.0   
7   601577.SH   780577  长沙银行  20180912   20180926  34216.0        30794.0   
8   603583.SH   732583  捷昌驱动  20180911   20180921   3020.0         2718.0   
9   002936.SZ   002936  郑州银行  20180907   20180919  60000.0        54000.0   
10  300748.SZ   300748  金力永磁  20180906   20180921   4160.0         3744.0   
11  603810.SH   732810  丰山集团  20180906   20180917   2000.0         2000.0   
12  002938.SZ   002938  鹏鼎控股  20180905   20180918  23114.0        20803.0   

    price     pe  limit_amount   funds  ballot  
0    6.31  22.98          9.30  19.582    0.16  
1   23.07  22.99          0.90   5.191    0.03  
2    1.79  22.86         15.50   0.000    0.25  
3    9.89  22.98          2.15   5.324    0.04  
4   48.80  22.99          3.60  59.341    0.08  
5   12.22  22.99          1.10   3.483    0.03  
6    9.94  22.99          1.80   4.572    0.04  
7    7.99   6.97         10.20  27.338    0.17  
8   29.17  22.99          1.20   8.809    0.03  
9    4.59   6.50         18.00  27.540    0.25  
10   5.39  22.98          1.20   2.242    0.05  
11  25.43  20.39          2.00   5.086    0.02  
12  16.07  22.99          6.90  37.145    0.12

Libor利率

文档ID: 152 原始链接: https://tushare.pro/document/2?doc_id=152

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Libor拆借利率

接口：libor描述：Libor拆借利率限量：单次最大4000行数据，总量不限制，可通过设置开始和结束日期分段获取积分：用户积累120积分可以调取，具体请参阅积分获取办法

Libor（London Interbank Offered Rate ），即伦敦同业拆借利率，是指伦敦的第一流银行之间短期资金借贷的利率，是国际金融市场中大多数浮动利率的基础利率。作为银行从市场上筹集资金进行转贷的融资成本，贷款协议中议定的LIBOR通常是由几家指定的参考银行，在规定的时间（一般是伦敦时间上午11：00）报价的平均利率。

输入参数

<table> <thead> <tr> <th>名称</th> <th>类型</th> <th>默认显示</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>date</td> <td>str</td> <td>Y</td> <td>日期</td> </tr> <tr> <td>curr_type</td> <td>str</td> <td>Y</td> <td>货币</td> </tr> <tr> <td>on</td> <td>float</td> <td>Y</td> <td>隔夜</td> </tr> <tr> <td>1w</td> <td>float</td> <td>Y</td> <td>1周</td> </tr> <tr> <td>1m</td> <td>float</td> <td>Y</td> <td>1个月</td> </tr> <tr> <td>2m</td> <td>float</td> <td>Y</td> <td>2个月</td> </tr> <tr> <td>3m</td> <td>float</td> <td>Y</td> <td>3个月</td> </tr> <tr> <td>6m</td> <td>float</td> <td>Y</td> <td>6个月</td> </tr> <tr> <td>12m</td> <td>float</td> <td>Y</td> <td>12个月</td> </tr> </tbody></table> 接口调用


pro = ts.pro_api()

df = pro.libor(curr_type='USD', start_date='20180101', end_date='20181130')

数据样例

     date     curr_type       on       1w       1m       2m       3m       6m  \
0    20181130       USD  2.17750  2.22131  2.34694  2.51006  2.73613  2.89463   
1    20181129       USD  2.18275  2.22881  2.34925  2.51125  2.73813  2.88519   
2    20181128       USD  2.18250  2.22450  2.34463  2.49500  2.70663  2.88663   
3    20181127       USD  2.17850  2.23494  2.34931  2.49900  2.70600  2.88444   
4    20181126       USD  2.18300  2.21900  2.33675  2.49525  2.70681  2.89275   
5    20181123       USD  2.17700  2.22188  2.32188  2.49538  2.69119  2.88625   
6    20181122       USD      NaN  2.22213  2.31488  2.48013  2.68925  2.88725   
7    20181121       USD  2.18050  2.22100  2.31513  2.47313  2.67694  2.88588   
8    20181120       USD  2.17288  2.21638  2.30550  2.45850  2.65313  2.86325   
9    20181119       USD  2.18075  2.21725  2.30025  2.45769  2.64581  2.86575   
10   20181116       USD  2.17538  2.21225  2.30088  2.45213  2.64450  2.86263   
11   20181115       USD  2.17938  2.21125  2.30250  2.44913  2.64000  2.86019   
12   20181114       USD  2.17575  2.20963  2.31038  2.44531  2.62900  2.86344   
13   20181113       USD  2.17788  2.21613  2.30650  2.44413  2.61613  2.85500   
14   20181112       USD      NaN  2.21550  2.30663  2.44525  2.61413  2.85538   
15   20181109       USD  2.17500  2.21913  2.31438  2.45513  2.61813  2.85800   
16   20181108       USD  2.17988  2.21619  2.31844  2.45863  2.61463  2.85763   
17   20181107       USD  2.17725  2.21588  2.31531  2.44550  2.60113  2.84350   
18   20181106       USD  2.17663  2.21138  2.31688  2.42863  2.59125  2.84150   
19   20181105       USD  2.17525  2.21425  2.31600  2.42950  2.58925  2.83575   
20   20181102       USD  2.17463  2.21400  2.31788  2.42625  2.59238  2.82888 

         12m  
0    3.12025  
1    3.11869  
2    3.13413  
3    3.13075  
4    3.12838  
5    3.12075  
6    3.10950  
7    3.11038  
8    3.09713  
9    3.10738  
10   3.12363  
11   3.11838  
12   3.12963  
13   3.13206  
14   3.13475  
15   3.14413  
16   3.14075  
17   3.12513  
18   3.11638  
19   3.11688  
20   3.10488

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How it compares

Pick tushare-finance over generic web-scraping skills when you need licensed, structured China financial market data through the official Tushare Pro API.

FAQ

What does tushare-finance do?

When should I invoke tushare-finance?

tushare-finance 支持哪些触发方式?

Is Tushare Finance safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

Backend & APIsbackend

About

Tushare Finance by the numbers

tushare-finance capabilities & compatibility

What tushare-finance says it does

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What problem does tushare-finance solve for developers working with tushare-finance?

Who is it for?

When should I use this skill?

What you get

By the numbers

Files

Tushare 金融数据 Skill

快速开始

1. Token 配置

2. 验证依赖

常用接口速查

数据获取流程

参数格式说明

接口文档参考

参考资源

GitHub Actions 自动同步配置

配置步骤

1. 获取 ClawHub Token

2. 配置 GitHub Secrets

3. 测试自动同步

工作流程说明

自动化步骤

注意事项

手动发布（备用方案）

查看同步状态

Tushare API 快速参考

股票数据

获取股票列表

获取日线行情

获取财务数据

指数数据

获取指数列表

获取指数行情

基金数据

获取基金列表

获取基金净值

宏观经济

GDP 数据

CPI 数据

PMI 数据

利率数据

港股美股

港股数据

美股数据

常见查询模式

按日期范围查询

按交易日查询

获取最新数据

数据处理技巧

数据清洗

数据保存

错误处理

性能优化

批量获取

控制请求频率

常用字段说明

日线行情字段

财务指标字段

更多接口

Tushare Finance Skill

✨ 特性

📥 安装

方法 1：通过 ClawHub（推荐）

方法 2：手动安装

🔑 配置

获取 Tushare Token

🚀 快速开始

Python API

📊 支持的数据类型

🤖 文档自动同步

工作流程

手动触发

配置 Secrets

📖 文档结构

🤝 贡献