Intraday Candles
股票價格K線(依代碼查詢)
intraday/candles/{symbol}
Parameters
Name | Type | Description |
---|---|---|
symbol * | string | 股票代碼 |
type | string | Ticker 類型,可選 oddlot 盤中零股 |
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 |
sort | string | 時間排序,預設為 asc 升冪 ;可選 desc 降冪 |
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 | 股票代號 |
timeframe * | string | K線週期 |
data * | object[] | K線資料 |
>>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(整股:成交張數;興櫃股票及盤中零股:成交股數;指數:成交金額) |
>>average | number | 成交均價 |
info
'*' 表示必揭示欄位。
Example
- Python
- Node.js
- C#
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
reststock = sdk.marketdata.rest_client.stock
reststock.intraday.candles(symbol='2330')
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.stock.intraday.candles({ symbol: '2330' })
.then(data => console.log(data));
using FubonNeo.Sdk;
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.Stock;
var candles = await rest.Intraday.Candles("2330");
// var candles = await rest.Intraday.Candles("2330", new(){TimeFrame=FugleMarketData.QueryModels.Stock.Intraday.IntradayTimeFrame.TenMin}); // 10分K
var candle_cont = candles.Content.ReadAsStringAsync().Result;
Console.WriteLine(candle_cont);
Response Body:
{
"date": "2023-05-29",
"type": "EQUITY",
"exchange": "TWSE",
"market": "TSE",
"symbol": "2330",
"data": [
{
"date": "2023-05-29T09:00:00.000+08:00",
"open": 574,
"high": 574,
"low": 572,
"close": 572,
"volume": 8450,
"average": 573.82
},
{
"date": "2023-05-29T09:01:00.000+08:00",
"open": 572,
"high": 573,
"low": 571,
"close": 571,
"volume": 594,
"average": 573.68
},
{
"date": "2023-05-29T09:02:00.000+08:00",
"open": 572,
"high": 572,
"low": 569,
"close": 570,
"volume": 1372,
"average": 573.26
},
......
]
}