def testOlderDateTime(self):
"""append should fail with candle input that has an older datetime than the most recently processed candle """
s = Atr(4)
testInput = inputValues[:8]
for c in testInput:
s.append(c)
self.assertRaises(InvalidDateTimeError, s.append, inputValues[4])
def testOlderDateTime(self):
"""append should fail with candle input that has an older datetime than the most recently processed candle """
s = Atr(4)
testInput = inputValues[:8]
for c in testInput:
s.append(c)
self.assertRaises(InvalidDateTimeError, s.append, inputValues[4])
def testOutputKnownValues(self):
"""Atr calculation should give known result with known input
results are rounded by str representation of floats
"""
s = Atr(4)
knownvalues = [None, None, None, 12.24, 12.372, 12.3032, 12.26992, 12.225952]
for c in inputValues[:8]:
s.append(c)
for i in range(len(s.output)):
self.assertEqual(str(s.output[i]), str(knownvalues[i]))
def testOutputKnownValues(self):
"""Atr calculation should give known result with known input
results are rounded by str representation of floats
"""
s = Atr(4)
knownvalues = [
None, None, None, 12.24, 12.372, 12.3032, 12.26992, 12.225952
]
for c in inputValues[:8]:
s.append(c)
for i in range(len(s.output)):
self.assertEqual(str(s.output[i]), str(knownvalues[i]))
from ta.Atr import *
import datetime
import random
ind = Atr(12)
d = datetime.datetime(2005, 1, 1, 9, 30)
td = datetime.timedelta(0, 1)
close = 12.20
nrofticks = int(60 * 60 * 6.5) # one market day with one tick every second
start = datetime.datetime.now()
for x in xrange(nrofticks):
c = (d, close+0.01, close+0.04, close-0.10, close, 20192812)
ind.append(c)
d = d + td
if (random.random() > 0.4): close = close + random.random()/2
else: close = close - random.random()/2
end = datetime.datetime.now()
diff = end - start
dfsec = float("" + str(diff.seconds) + "." + str(diff.microseconds))
print "Inserting %s candles in Atr indicator took %s seconds. %s candles per second." % (nrofticks, dfsec, nrofticks / dfsec)
from ta.Atr import *
import datetime
import random
ind = Atr(12)
d = datetime.datetime(2005, 1, 1, 9, 30)
td = datetime.timedelta(0, 1)
close = 12.20
nrofticks = int(60 * 60 * 6.5) # one market day with one tick every second
start = datetime.datetime.now()
for x in range(nrofticks):
c = (d, close + 0.01, close + 0.04, close - 0.10, close, 20192812)
ind.append(c)
d = d + td
if (random.random() > 0.4): close = close + random.random() / 2
else: close = close - random.random() / 2
end = datetime.datetime.now()
diff = end - start
dfsec = float("" + str(diff.seconds) + "." + str(diff.microseconds))
print(
"Inserting %s candles in Atr indicator took %s seconds. %s candles per second."
% (nrofticks, dfsec, nrofticks / dfsec))
