Intraday Trades

股票成交明細（依代碼查詢）

intraday/trades/{symbol}

Parameters

Name	Type	Description
symbol*	string	股票代碼
type	string	Ticker 類型，可選 oddlot 盤中零股
offset	number	偏移量
limit	number	限制量

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
data*	object[]	成交明細
>> bid	number	成交買價
>> ask	number	成交賣價
>> price	number	成交價格
>> size	number	成交單量
>> volume	number	成交總量
>> time	number	成交時間

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

reststock = sdk.marketdata.rest_client.stock  
reststock.intraday.trades(symbol='2330') 

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.stock.intraday.trades({ symbol: '2330' })
  .then(data => console.log(data));

C#

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 trade = await rest.Intraday.Trades("2330");
// var trade = await rest.Intraday.Trades("2330", new(){Type=FugleMarketData.QueryModels.TickerType.OddLot});  // 零股

var trade_cont = trade.Content.ReadAsStringAsync().Result;

Console.WriteLine(trade_cont);

Response Body：

{
  "date": "2023-05-29",
  "type": "EQUITY",
  "exchange": "TWSE",
  "market": "TSE",
  "symbol": "2330",
  "data": [
    {
      "price": 568,
      "size": 32,
      "time": 1685341800000000,
      "serial": 99999999
    },
    {
      "bid": 567,
      "ask": 568,
      "price": 568,
      "size": 4778,
      "volume": 54538,
      "time": 1685338200000000,
      "serial": 6652422
    },
    {
      "bid": 565,
      "ask": 566,
      "price": 566,
      "size": 1,
      "volume": 49760,
      "time": 1685337899721587,
      "serial": 6622549
    },
    ......
  ]
}