債券
在總體經濟方面,我們擁有 2 種資料集,如下:
另外針對資料集整理出美債清單,目前共有 12 種
| data_id | United States 1-Month | United States 2-Month | United States 3-Month | United States 6-Month | United States 1-Year | United States 2-Year | United States 3-Year | United States 5-Year | United States 7-Year | United States 10-Year | United States 20-Year | United States 30-Year | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 債券 | 1月期 | 2月期 | 3月期 | 6月期 | 1年期 | 2年期 | 3年期 | 5年期 | 7年期 | 10年期 | 20年期 | 30年期 | 
各國貨幣發行量表 CurrencyCirculation¶
import requests
import pandas as pd
url = "https://api.finmindtrade.com/api/v3/data"
parameter = {
     "dataset": "CurrencyCirculation",
     "data_id": "US",# or "Taiwan"
     "date": "2020-01-01",
}
data = requests.get(url, params=parameter)
data = data.json()
data = pd.DataFrame(data['data'])
print(data.head())
  country        date     type      value
0      US  2020-01-01  Monthly  1798.984B
1      US  2020-02-01  Monthly  1795.990B
2      US  2020-03-01  Monthly  1826.102B
3      US  2020-04-01  Monthly  1876.878B
政府公債殖利率表 GovernmentBondsYield¶
import requests
import pandas as pd
url = "https://api.finmindtrade.com/api/v3/data"
parameter = {
     "dataset": "GovernmentBondsYield",
     "data_id": "United States 1-Month",
     "date": "2020-01-01",
}
data = requests.get(url, params=parameter)
data = data.json()
data = pd.DataFrame(data['data'])
print(data.head())
         date                  name  value
0  2020-01-02  United States 3-Year   1.59
1  2020-01-03  United States 3-Year   1.54
2  2020-01-06  United States 3-Year   1.56
3  2020-01-07  United States 3-Year   1.55
4  2020-01-08  United States 3-Year   1.61