历史市场温度

该接口用于获取历史市场温度。

SDK Links

Python	longport.openapi.QuoteContext.history_market_temperature
Rust	longport::quote::QuoteContext#history_market_temperature
Go	QuoteContext.HistoryMarketTemperature
Node.js	QuoteContext#historyMarketTemperature

Request

HTTP Method	GET
HTTP URL	/v1/quote/history_market_temperature

Parameters

Name	Type	Required	Description
market	string	YES	市场，目前支持 US、HK、SG、CN
start_date	string	YES	开始日期，最小到 2016 年，比如：20240101
end_date	string	YES	结束日期，比如：20250101

Request Example

from longport.openapi import QuoteContext, Config, Market

config = Config.from_env()
ctx = QuoteContext(config)
resp = ctx.history_market_temperature(Market.US, "20240101", "20250101")
print(resp)

Response

Response Headers

• Content-Type: application/json

Response Example

{
  "code": 0,
  "data": {
    "temperatures": [
      {
        "timestamp": 1580486400,
        "value": 36,
        "type": "month"
      },
      {
        "timestamp": 1582992000,
        "value": 46,
        "type": "month"
      }
    ],
    "valuations": [
      {
        "timestamp": 1580486400,
        "value": 36,
        "type": "month"
      },
      {
        "timestamp": 1582992000,
        "value": 46,
        "type": "month"
      }
    ],
    "sentiments": [
      {
        "timestamp": 1580486400,
        "value": 36,
        "type": "month"
      },
      {
        "timestamp": 1582992000,
        "value": 46,
        "type": "month"
      }
    ]
  }
}

Response Status

Status	Description	Schema
200	返回成功	HistoryMarketTemperatureResponse
400	参数错误	None

Schemas

HistoryMarketTemperatureResponse

Name	Type	Required	Description
temperatures	object[]	true	历史温度列表
∟timestamp	integer	true	时间戳
∟value	integer	true	值
∟type	string	true	数据颗粒度 day: 日;week: 周;month: 月
valuations	object[]	true	历史估值列表
∟timestamp	integer	true	时间戳
∟value	integer	true	值
∟type	string	true	数据颗粒度 day: 日;week: 周;month: 月
sentiments	object[]	true	市场情绪列表
∟timestamp	integer	true	时间戳
∟value	integer	true	值
∟type	string	true	数据颗粒度 day: 日;week: 周;month: 月

错误码

业务错误码	描述	排查建议
2601500	服务端内部错误	请重试或联系技术人员处理