Historical Market Temperature

This interface is used to get historical market temperature.

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	Market, currently supports US, HK, SG, CN
start_date	string	YES	Start date, minimum to 2016, e.g.: 20240101
end_date	string	YES	End date, e.g.: 20250101

Request Example

import datetime
from longport.openapi import QuoteContext, Config, Market

config = Config.from_env()
ctx = QuoteContext(config)
resp = ctx.history_market_temperature(Market.US, datetime.date(2024, 1, 1), datetime.date(2025, 1, 1))
print(resp)

Response

Response Headers

• Content-Type: application/json

Response Example

{
  "code": 0,
  "data": {
    "type": "month"
    "list": [
      {
        "timestamp": 1580486400,
        "temperature": 36,
        "valuation": 12,
        "sentiment": 46
      },
      {
        "timestamp": 1582992000,
        "temperature": 36,
        "valuation": 12,
        "sentiment": 46
      }
    ]
  }
}

Response Status

Status	Description	Schema
200	Success	HistoryMarketTemperatureResponse
400	Parameter Error	None

Schemas

HistoryMarketTemperatureResponse

Name	Type	Required	Description
list	object[]	true	List
∟timestamp	integer	true	Timestamp
∟temperature	integer	true	Temperature
∟valuation	integer	true	Valuation
∟sentiment	integer	true	Sentiment
type	string	true	Data granularity day: daily; week: weekly; month: monthly

Error Codes

Business Error Code	Description	Troubleshooting Suggestions
2601500	Server Internal Error	Please retry or contact technical support