def createFlippedUpattern(vec, length, repeatitionAmount=1):
up1 = np.linspace(0, 10, length/4).tolist()
up2 = np.linspace(10, 40, length/4).tolist()
down1 = np.linspace(40, 10, length/4).tolist()
down2 = np.linspace(10, 0, length/4).tolist()
pattern = up1 + up2 + down1 + down2
smoothedPattern = ma.movingAverage(pattern, length/5, 1.3)
pattern = smoothedPattern
pattern = [x-np.mean(pattern) for x in pattern]
fac = np.sqrt(np.var(vec)/np.var(pattern))
m1 = np.mean(vec)
pattern = [x*fac + m1 for x in pattern]
#retVal = list(itertools.repeat(pattern, repeatitionAmount))
retVal = pattern*repeatitionAmount
return retVal
def main():
arguments = parse_arguments()
if arguments.test:
Testing.Testing().run_tests()
else:
# process input file and store the events read
events = utility.process_input_data(arguments.input_file)
# create moving average class with event and window size
moving_average = MovingAverage.MovingAverage(events, arguments.window)
# perform moving average time calculation
average_times = moving_average.moving_average()
# for output in average_times:
utility.log_average_time(arguments.input_file, arguments.print,
average_times, arguments.output_file)
#opl.SellLimit(110.500, 109.000, 1)
#opl.SellStop(101.000, 100.000, 1)
"""
timeGetPrice, ask, bid = opl.GetPrices()
print(ask)
print(bid)
dataMng.setMarketPrice(ask, bid)
"""
#opl.SetStopLoss(213, 100.000)
#opl.SetStopLoss(211, 100.000)
#headers = {"Authorization" : "Bearer " + }
'''
req=accounts.AccountSummary(accountID=account_id)
res = api.request(req)
print(json.dumps(res, indent=2))
marginAvailable = float(res["account"]["marginAvailable"])
marginUsed = float(res["account"]["marginUsed"])
print(marginAvailable)
print(marginUsed)
print(50 * marginUsed / marginAvailable)
'''
#print(opl.GetMarginLevel())
print(np.mean(ma.getData(5), axis=0, keepdims=True))
#---End---#
def __init__(self, filesystem):
threading.Thread.__init__(self)
self.daemon = True
self.filesystem = filesystem
self.size_ma = MovingAverage.moving_average([5, 15, 30])
