Intraday Candles

期權價格Ｋ線（依商品查詢）

intraday/candles/{symbol}

Parameters

Name	Type	Description
symbol*	string	期權代碼
session	string	session 類型，可選 afterhours 夜盤
timeframe	string	Ｋ線週期，可選 1 1分Ｋ；5 5分Ｋ；10 10分Ｋ；15 15分Ｋ；30 30分Ｋ；60 60分Ｋ

Response

Name	Type	Description
date*	string	日期
type*	string	Ticker 類型
exchange*	string	交易所
market	string	市場別
symbol*	string	期權代碼
timeframe*	string	Ｋ線週期
data*	object[]	Ｋ線資料
>> time	number	Ｋ線時間
>> open*	number	Ｋ線開盤價
>> high*	number	Ｋ線最高價
>> low*	number	Ｋ線最低價
>> close*	number	Ｋ線收盤價
>> volume	number	Ｋ線成交量
>> average	number	成交均價

info

'*' 表示必揭示欄位。

Example

Python

from fubon_neo.sdk import FubonSDK, Order

sdk = FubonSDK()

accounts = sdk.login("Your ID", "Your password" ,"Your cert path" ,"Your cert password")  # 需登入後，才能取得行情權限

sdk.init_realtime() # 建立行情連線
restfutopt = sdk.marketdata.rest_client.futopt  
restfutopt.intraday.candles(symbol='TXFA4')

Node.js

const { FubonSDK } = require('fubon-neo');

const sdk = new FubonSDK();

const accounts = sdk.login("Your ID", "Your Password", "Your Cert Path", "Your Cert Password");

sdk.initRealtime(); // 建立行情連線

const client = sdk.marketdata.restClient
client.futopt.intraday.candles({ symbol: 'TXFA4' })
  .then(data => console.log(data));

C#

using FubonNeo.Sdk;
using FugleMarketData.QueryModels.FuOpt;
using FugleMarketData.QueryModels.FuOpt.Intraday;


var sdk = new FubonSDK();
var result = sdk.Login("Your ID", "Your Password", "Your Cert Path", "Your Cert Password");

sdk.InitRealtime(); // 建立行情連線

var rest = sdk.MarketData.RestClient.FutureOption;

var candles = await rest.Intraday.Candles("TXFA4");
// var candles = await rest.Intraday.Candles("TXFA4", new(){TimeFrame=FugleMarketData.QueryModels.FuOpt.Intraday.CandlesTimeFrame.FifteenMin});  // 15分鐘K

var candle_cont = candles.Content.ReadAsStringAsync().Result;

Console.WriteLine(candle_cont);

Response Body：

{
  "date": "2023-12-15",
  "type": "FUTURE",
  "exchange": "TAIFEX",
  "symbol": "TXFA4",
  "timeframe": "1",
  "data": [
    {
      "date": "2023-12-15T08:45:00.000+08:00",
      "open": 17744,
      "high": 17756,
      "low": 17744,
      "close": 17756,
      "volume": 98,
      "average": 17749.97
    },
    {
      "date": "2023-12-15T08:46:00.000+08:00",
      "open": 17755,
      "high": 17756,
      "low": 17742,
      "close": 17747,
      "volume": 48,
      "average": 17749.1
    },
    {
      "date": "2023-12-15T08:47:00.000+08:00",
      "open": 17746,
      "high": 17746,
      "low": 17731,
      "close": 17731,
      "volume": 26,
      "average": 17747.8
    },
    ...
  ]
}