def testDownloadAndParseWeekly(self):
with common.TmpDir() as tmpPath:
instrument = "AAPL"
path = os.path.join(tmpPath, "quandl-aapl-weekly-2010.csv")
quandl.download_weekly_bars("WIKI", instrument, 2010, path,
auth_token)
bf = quandlfeed.Feed(frequency=bar.Frequency.WEEK)
bf.addBarsFromCSV(instrument, path)
bf.loadAll()
# Quandl used to report 2010-1-3 as the first week of 2010.
self.assertTrue(bf[instrument][0].getDateTime() in [
datetime.datetime(2010, 1, 3),
datetime.datetime(2010, 1, 10)
])
self.assertEquals(bf[instrument][-1].getDateTime(),
datetime.datetime(2010, 12, 26))
self.assertEquals(bf[instrument][-1].getOpen(), 325.0)
self.assertEquals(bf[instrument][-1].getHigh(), 325.15)
self.assertEquals(bf[instrument][-1].getLow(), 323.17)
self.assertEquals(bf[instrument][-1].getClose(), 323.6)
self.assertEquals(bf[instrument][-1].getVolume(), 7969900)
self.assertEquals(bf[instrument][-1].getPrice(), 323.6)
# Not checking against a specific value since this is going to change
# as time passes by.
self.assertNotEquals(bf[instrument][-1].getAdjClose(), None)
def testDownloadAndParseWeekly(self):
with common.TmpDir() as tmpPath:
instrument = "AAPL"
path = os.path.join(tmpPath, "quandl-aapl-weekly-2010.csv")
quandl.download_weekly_bars("WIKI", instrument, 2010, path, auth_token)
bf = quandlfeed.Feed(frequency=bar.Frequency.WEEK)
bf.addBarsFromCSV(instrument, path)
bf.loadAll()
self.assertEquals(bf[instrument][0].getDateTime(), datetime.datetime(2010, 1, 3))
self.assertEquals(bf[instrument][-1].getDateTime(), datetime.datetime(2010, 12, 26))
self.assertEquals(bf[instrument][-1].getOpen(), 325.0)
self.assertEquals(bf[instrument][-1].getHigh(), 325.15)
self.assertEquals(bf[instrument][-1].getLow(), 323.17)
self.assertEquals(bf[instrument][-1].getClose(), 323.6)
self.assertEquals(bf[instrument][-1].getVolume(), 7969900)
self.assertEquals(bf[instrument][-1].getPrice(), 323.6)
# Not checking against a specific value since this is going to change
# as time passes by.
self.assertNotEquals(bf[instrument][-1].getAdjClose(), None)