def download_csv_cn(instrument, frequency=None):
match = re.match('6', instrument)
if match:
url = "http://table.finance.yahoo.com/table.csv?s=%s.ss" % (instrument)
else:
url = "http://table.finance.yahoo.com/table.csv?s=%s.sz" % (instrument)
return csvutils.download_csv(url)
def download_csv(instrument, begin, end):
url = "http://www.google.com/finance/historical"
params = {
"q": instrument,
"startdate": begin.strftime("%Y-%m-%d"),
"enddate": end.strftime("%Y-%m-%d"),
"output": "csv",
}
return csvutils.download_csv(url, url_params=params, content_type="application/vnd.ms-excel")
def download_csv(sourceCode, tableCode, begin, end, frequency, authToken):
url = "http://www.quandl.com/api/v1/datasets/%s/%s.csv" % (sourceCode, tableCode)
params = {
"trim_start": begin.strftime("%Y-%m-%d"),
"trim_end": end.strftime("%Y-%m-%d"),
"collapse": frequency
}
if authToken is not None:
params["auth_token"] = authToken
return csvutils.download_csv(url, params)
def download_csv(sourceCode, tableCode, begin, end, frequency, authToken):
url = "http://www.quandl.com/api/v1/datasets/%s/%s.csv" % (sourceCode, tableCode)
params = {
"trim_start": begin.strftime("%Y-%m-%d"),
"trim_end": end.strftime("%Y-%m-%d"),
"collapse": frequency
}
if authToken is not None:
params["auth_token"] = authToken
return csvutils.download_csv(url, params)
def download_csv(instrument, begin, end):
url = "http://www.google.com/finance/historical"
params = {
"q": instrument,
"startdate": begin.strftime("%Y-%m-%d"),
"enddate": end.strftime("%Y-%m-%d"),
"output": "csv",
}
return csvutils.download_csv(url,
url_params=params,
content_type="application/vnd.ms-excel")
def download_csv(instrument, begin, end, frequency):
url = "http://ichart.finance.yahoo.com/table.csv?s=%s&a=%d&b=%d&c=%d&d=%d&e=%d&f=%d&g=%s&ignore=.csv" % (instrument, __adjust_month(begin.month), begin.day, begin.year, __adjust_month(end.month), end.day, end.year, frequency)
return csvutils.download_csv(url)
def download_csv(instrument, begin, end, frequency):
url = "http://ichart.finance.yahoo.com/table.csv?s=%s&a=%d&b=%d&c=%d&d=%d&e=%d&f=%d&g=%s&ignore=.csv" % (instrument, __adjust_month(begin.month), begin.day, begin.year, __adjust_month(end.month), end.day, end.year, frequency)
return csvutils.download_csv(url)