def get_ma(cl, days=25):
startd = days
lenc = len(cl)
avg = []
for d in range(startd, lenc):
i = d - startd
avg.append(np.mean(cl[i:d+1]))
zeros = [0]*startd
avg = zeros + avg
return avg
def get_bollinger(cl, days=20):
startd = days
lenc = len(cl)
theta = []
avg = []
bollp2 = []
bollm2 = []
for d in range(startd, lenc):
i = d - startd
avg.append(np.mean(cl[i:d+1]))
theta.append(np.std(cl[i:d+1]))
bollp2 = (np.array(avg) + np.array(theta)*2).tolist()
bollm2 = (np.array(avg) - np.array(theta)*2).tolist()
zeros = [0]*startd
avg = zeros + avg
bollp2 = zeros + bollp2
bollm2 = zeros + bollm2
return (avg, bollp2, bollm2)
