get_stock_volatility
Calculate stock volatility metrics using minute-level historical data for Chinese stocks to analyze price fluctuations and market risk.
Instructions
通过分钟级历史行情计算指定个股的波动率指标
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | 股票代码 (例如: '000001') | |
| start_date | Yes | 开始日期，格式为 YYYY-MM-DD HH:MM:SS (例如: '2021-10-20 09:30:00') | |
| end_date | Yes | 结束日期，格式为 YYYY-MM-DD HH:MM:SS (例如: '2024-11-01 15:00:00') | |
| period | Yes | 分钟级历史行情时间周期，分钟级别 (例如: '1', '5', '15', '30', '60') | |
| adjust | No | 复权类型: none, qfq(前复权), hfq(后复权)。默认：none | none |
| output_format | No | 输出数据格式: json, csv, xml, excel, markdown, html。默认: markdown | markdown |
Input Schema (JSON Schema)
{
"properties": {
"adjust": {
"default": "none",
"description": "复权类型: none, qfq(前复权), hfq(后复权)。默认：none",
"enum": [
"none",
"qfq",
"hfq"
],
"type": "string"
},
"end_date": {
"description": "结束日期，格式为 YYYY-MM-DD HH:MM:SS (例如: '2024-11-01 15:00:00')",
"type": "string"
},
"output_format": {
"default": "markdown",
"description": "输出数据格式: json, csv, xml, excel, markdown, html。默认: markdown",
"enum": [
"json",
"csv",
"xml",
"excel",
"markdown",
"html"
],
"type": "string"
},
"period": {
"description": "分钟级历史行情时间周期，分钟级别 (例如: '1', '5', '15', '30', '60')",
"enum": [
"1",
"5",
"15",
"30",
"60"
],
"type": "string"
},
"start_date": {
"description": "开始日期，格式为 YYYY-MM-DD HH:MM:SS (例如: '2021-10-20 09:30:00')",
"type": "string"
},
"symbol": {
"description": "股票代码 (例如: '000001')",
"type": "string"
}
},
"required": [
"symbol",
"start_date",
"end_date",
"period"
],
"type": "object"
}