如何使用Python在Quandl上批量下载过去100天的所有股票的EOD数据

使用QuandlAPI和QuandlPython库，我正试图大量下载过去100天的EOD数据

批量下载使用此调用下载最后一天收集的所有股票代码的所有EOD数据。删除下载类型=部分参数将下载所有历史EOD数据：

此电话将下载单个股票代码最后n天的EOD值：

是否有可能将这些数据结合起来，一次下载所有股票最后n天的排爆数据？ 目前看来，我唯一的选择是：

对所有8000个股票代码进行单独的API调用

下载每个股票的所有历史数据

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Quandle不再免费工作了。过去是。 如果你愿意，你可以使用IEX。检查以下示例，该示例将为您提供每日回报：

from datetime import datetime
from iexfinance.stocks import get_historical_data
from pandas_datareader import data
import pandas as pd
start =  '2014-01-01'
end = datetime.today().utcnow()

datasets_original_test = ['AAPL', 'MSFT','NFLX','FB','GS','TSLA','BAC','TWTR','COF','TOL','EA','PFE','MS','C','SKX','GLD','SPY','EEM','XLF','GDX','EWZ','QQQ','FXI','XOP','EFA','VXXB','HYG','XLI','XLU','JNK','USO','IWM','XLP','XLE','EWJ','XLK','KRE','XLV','VNQ','MBB','OIH','FEZ','RSX','EWG','SMH','TLT','IBB','SLV','IYR','XRT','XLB','EMB','AGG','INDA','EWW','DBO','SPLV','KBE','VGK','XLY','EWH','EWT','DIA','IVV','XLRE','EPI','IJR','IEF']
dataset_names_test = ['AAPL', 'MSFT','NFLX','FB','GS','TSLA','BAC','TWTR','COF','TOL','EA','PFE','MS','C','SKX','GLD','SPY','EEM','XLF','GDX','EWZ','QQQ','FXI','XOP','EFA','VXXB','HYG','XLI','XLU','JNK','USO','IWM','XLP','XLE','EWJ','XLK','KRE','XLV','VNQ','MBB','OIH','FEZ','RSX','EWG','SMH','TLT','IBB','SLV','IYR','XRT','XLB','EMB','AGG','INDA','EWW','DBO','SPLV','KBE','VGK','XLY','EWH','EWT','DIA','IVV','XLRE','EPI','IJR','IEF']

datasets_test = []
for d in datasets_original_test:
    data_original = data.DataReader(d, 'iex', start, end)
    data_original.index = pd.to_datetime(data_original.index, format='%Y/%m/%d')
    data_ch = data_original['close'].pct_change()
    datasets_test.append(data_ch)
df_returns = pd.concat(datasets_test, axis=1, join_axes=[datasets_test[0].index])
df_returns.columns = dataset_names_test

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你有API文档的链接吗？没有帐户的人似乎无法访问此API，这使得帮助您变得不可能。