def generate_random_perioddata(dt):
a = random()*50+50
b = random()*50+50
c = random()*50+50
d = random()*50+50
retval = PeriodData(date=dt,period=Period.DAILY, stock="AAPL", open=a,high=max((a,b,c,d)),low=min(a,b,c,d),close=d,volume=100000,adjustedClose=d)
return retval
def generate_random_series():
retval = list()
dt = datetime(year=2015,month=1,day=1)
for i in range(1000):
dt = dt + timedelta(days=1)
retval.append(generate_random_perioddata(dt))
return retval
# Here begins the example code
# Track the adjusted close and 20 period simple moving average
close = AdjustedClose()
sma = SimpleMovingAverage(metric=close, period=20)
print "Date,SMA"
for periodData in generate_random_series():
close.handle(periodData)
sma.handle(periodData)
if sma.ready() and close.ready():
print "%s,%f" % (periodData.date, sma.value())
def __init__(self):
Check.__init__(self)
# adjusted close accounts for splits and dividends
self.close = AdjustedClose()
self.ma = SimpleMovingAverage(metric=self.close, period=200)
