All-Market Financial Data Hub技能使用说明
2026-03-26
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Financial Data Query
Key Source and Security Instructions
- This skill uses only one environment variable:EM_API_KEY.
- EM_API_KEYis issued by East Money's MiaoXiang Service (https://ai.eastmoney.com/mxClaw) and is used for its interface authentication.
- Before providing the key, please confirm the key source, scope of use, validity period, and whether reset/revocation is supported.
- It is prohibited to hardcode/plaintext expose the key in code, prompts, logs, or output files.
Functional Scope
1. Supported Query Object Scope
- Stocks (A-shares, Hong Kong stocks, US stocks)
- Sectors, Indices, Shareholders
- Corporate Issuers, Bonds, Non-listed Companies
- Stock Market, Fund Market, Bond Market
2. Supported Data Types for Query
Supports querying the following types of structured data:
- Real-time Market Data(current price, price change percentage, order book data, etc.)
- Quantitative Data(technical indicators, fund flows, etc.)
- Report Data(Revenue, Net Profit, Financial Ratios, etc.)
3. Supported Query Methods andStrict Limits
Supports combined queries with multiple entities, multiple metrics, and multiple time ranges.Due to backend interface limitations, a single query must adhere to the following quotas:
- Entity Limit: A maximum of5stocks/financial entities per query.
- Metric Limit: A maximum of3core metrics per query.
- Processing Logic: If a user request exceeds the above limits, the Skill will prioritize processing the first 5 entities and the first 3 metrics, and a note will be included in the result description file.
Example:"Query the revenue of six stocks A, B, C, D, E, F" -> Only the first five will be returned.
4. Output Results
After execution, the Skill will output the following files:
- A query results.xlsxfile to hold the structured query results.
- A result description.txt file.文档,用于描述查询内容、结果含义及必要说明
查询示例
基础指标查询
- 东方财富的基本面
- 贵州茅台最近一年的营业收入和净利润
- 半导体ETF的业绩表现
实时行情与盘口查询
- 当前300059的实时买单
- 英伟达现在的最新价和涨跌幅
- 沪深300当前点位和成交额
多实体、多指标、多时间查询(注意配额)
- 合规示例:对比创业板指、沪深300、中证500(3个实体)春节以来的涨幅(1个指标)。
- 合规示例:东方财富、拼多多(2个实体)最近一年的营收、毛利、净利(3个指标)。
- 超限提示:若查询“沪深前十大权重股的市盈率”,系统将截取前5名进行查询。
补充说明
- 本技能面向金融结构化数据与关系数据查询,不侧重主观分析、投资建议或资讯解读。
- 语句中必须包含明确的金融实体名称。
- 当用户使用自然语言发起查询时,本技能可根据问句内容识别查询对象、指标和时间范围,并输出结构化结果文件。
- 对于支持范围内的查询请求,优先输出结构化数据查询结果,并同时生成结果说明文件,便于后续使用。
前提条件
1. 注册东方财富妙想账号
访问https://ai.eastmoney.com/mxClaw注册账号并获取API_KEY。
2. 配置 Token
# macOS 添加到 ~/.zshrc,Linux 添加到 ~/.bashrc export EM_API_KEY="your_api_key_here"
然后根据系统执行对应的命令:
macOS:
source ~/.zshrc
Linux:
source ~/.bashrc
3. 安装依赖
pip3 install httpx pandas openpyxl --user
快速开始
在工作目录下执行
python3 {baseDir}/scripts/get_data.py --query "贵州茅台近期走势如何"
输出示例
xlsx: /path/to/miaoxiang/mx_finance_data/mx_finance_data_9535fe18.xlsx 描述: /path/to/miaoxiang/mx_finance_data/mx_finance_data_9535fe18_description.txt 行数: 42
输出文件说明
| 文件 | 说明 |
|---|---|
| mx_finance_data_<查询id>.xlsx | 结构化数据表,包含请求的实体与指标 |
| mx_finance_data_<查询id>_description.txt | 包含查询逻辑说明、字段含义及配额截断提示 |
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