def uplines(*args):
''' args[0]...args[-1]各个序列多头排列，其中args[0]为最快速线
'''
trends = [ trend(s)>0 for s in args ]
sdiff = np.diff(args,axis=0)
sdiff0 = [ s<0 for s in sdiff]
strend = gand(*trends)
return gand(strend,*sdiff0)
def uplines(*args):
''' args[0]...args[-1]各个序列多头排列，其中args[0]为最快速线
'''
trends = [trend(s) > 0 for s in args]
sdiff = np.diff(args, axis=0)
sdiff0 = [s < 0 for s in sdiff]
strend = gand(*trends)
return gand(strend, *sdiff0)
def obv(tclose,tvolume):
return np.cumsum(trend(tclose) * tvolume)
def obv(tclose, tvolume):
return np.cumsum(trend(tclose) * tvolume)
