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investment-data

获取高质量 A 股投资数据，基于 investment_data 项目。支持日终价格、涨跌停数据、指数数据等。每日更新，多数据源交叉验证。触发词：股票数据、A股数据、金融数据、量化数据、历史行情。

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

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Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, config/config.yaml, examples/usage_examples.md, references/fields.md, requirements.txt

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: StanleyChanH
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Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 18 sections Open source page

A 股投资数据获取 Skill

基于 investment_data 项目，提供高质量 A 股投资数据。

🎯 核心功能

数据下载 - 自动下载最新数据集数据查询 - 查询股票历史数据数据更新 - 每日自动更新多格式支持 - Qlib、CSV、JSON

📊 数据类型

日终价格 - 开高低收、成交量、成交额涨跌停数据 - 涨跌停价格、涨跌停状态指数数据 - 主要指数价格和权重复权数据 - 前复权、后复权价格

1. 下载最新数据

python scripts/download_data.py --latest

2. 查询股票数据

from scripts.data_client import InvestmentData # 初始化客户端 client = InvestmentData() # 查询单只股票 df = client.get_stock_data("000001.SZ", start_date="2024-01-01", end_date="2024-12-31") # 查询指数成分 weights = client.get_index_weights("000300.SH") # 查询涨跌停 limits = client.get_limit_data("000001.SZ", date="2024-12-01")

3. 批量查询

python scripts/query_batch.py --stocks "000001.SZ,000002.SZ" --start 2024-01-01 --end 2024-12-31 --output csv

📖 详细文档

数据字段说明 API 参考使用示例常见问题

环境变量

# 数据存储路径（可选） export INVESTMENT_DATA_DIR=~/.qlib/qlib_data/cn_data # Tushare Token（可选，用于实时更新） export TUSHARE_TOKEN=your_token_here

配置文件

编辑 config/config.yaml： data: # 数据存储路径 data_dir: ~/.qlib/qlib_data/cn_data # 自动更新 auto_update: true update_time: "09:00" # 数据源优先级 sources: - final - ts - ak - yahoo query: # 默认输出格式 output_format: csv # 日期格式 date_format: "%Y-%m-%d"

Python API

from scripts.data_client import InvestmentData client = InvestmentData() # 查询股票日 K 线 df = client.get_stock_daily("000001.SZ", "2024-01-01", "2024-12-31") print(df.head()) # 查询指数数据 index_df = client.get_index_daily("000300.SH", "2024-01-01", "2024-12-31") # 查询股票列表 stocks = client.get_stock_list(date="2024-12-31") # 查询退市股票 delisted = client.get_delisted_stocks()

命令行

# 查询单只股票 python scripts/query.py --stock 000001.SZ --start 2024-01-01 --end 2024-12-31 # 批量查询 python scripts/query_batch.py --file stocks.txt --start 2024-01-01 --output json # 更新数据 python scripts/update_data.py --daily # 导出数据 python scripts/export.py --stock 000001.SZ --format excel

定时更新

使用 OpenClaw cron 自动更新： # 每天早上 9:00 更新数据 schedule: cron: "0 9 * * *" task: "python scripts/update_data.py --daily"

批量处理

# 批量导出多只股票 python scripts/batch_export.py --stocks stocks.txt --output ./data/

⚠️ 注意事项

数据延迟：每日更新，T+1 数据存储空间：需要约 5GB 存储空间网络要求：需要访问 GitHub 和 DoltHub Tushare Token：实时更新需要 token

📊 数据质量

✅ 多源验证：交叉验证多个数据源 ✅ 完整性好：包含退市公司数据 ✅ 修正错误：自动修正数据异常 ✅ 每日更新：自动化 CI/CD 流程

📚 相关资源

GitHub：https://github.com/chenditc/investment_data DoltHub：https://www.dolthub.com/repositories/chenditc/investment_data 原始文档：https://github.com/chenditc/investment_data/blob/master/docs/README-ch.md

🤝 贡献

欢迎贡献代码、报告问题或提出建议！

📄 许可证

Apache 2.0

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Docs1 Config1 Files

SKILL.md Primary doc
examples/usage_examples.md Docs
README.md Docs
references/fields.md Docs
config/config.yaml Config
requirements.txt Files