mrjbq7
commented
2 years ago This will be true of any indicator that uses “history” such as EMA.
The streaming versions effectively use a rolling window of only “n” or “lookback” previous data points.
On Thu, Feb 24, 2022 at 12:34 PM Kimboo @.***> wrote:
Stream values different than regular calls c=[a[1] for a in c] c = np.array(c,dtype="double") val = talib.HT_PHASOR(c) val_stream = stream.HT_PHASOR(c)
print(val_stream) (-0.04820981151286492,-0.011143455822243967)
print(val[0][-1] ) -0.0920150816290648 print(val[0] ) 34:-0.05492210928311794 35:-0.07138520112260047 36:-0.10170034098678124 37:-0.11471878792173447 38:-0.07489067774288735 39:-0.05324519191986519 40:-0.061866246081531955 41:-0.07337167903403932 42:-0.07830740906736532 43:-0.10876347619624367 44:-0.10708360556839117 45:-0.04168729520894142 46:-0.011632078194743222 47:-0.00955331370585474 48:-0.05535466822502754 49:-0.0920150816290648
print(val[0][-1] ) -0.02143220674537429 print(val[0] ) 33:-0.06221513608569242 34:-0.06849135021655883 35:-0.07162313207881235 36:-0.06309723149277043 37:0.036387340179205016 38:0.08978084456343666 39:0.02553053677932897 40:-0.029424557383150664 41:-0.033968063250308926 42:-0.052698143297023464 43:-0.03255025418382515 44:0.12569938394967095 45:0.16201192669772266 46:0.05728323309699908 47:-0.0597890873802021 48:-0.1412316392142619 49:-0.02143220674537429
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Stream values different than regular calls c=[a[1] for a in c] c = np.array(c,dtype="double") val = talib.HT_PHASOR(c) val_stream = stream.HT_PHASOR(c)
print(val_stream) (-0.04820981151286492,-0.011143455822243967)
print(val[0][-1] ) -0.0920150816290648 print(val[0] ) 34:-0.05492210928311794 35:-0.07138520112260047 36:-0.10170034098678124 37:-0.11471878792173447 38:-0.07489067774288735 39:-0.05324519191986519 40:-0.061866246081531955 41:-0.07337167903403932 42:-0.07830740906736532 43:-0.10876347619624367 44:-0.10708360556839117 45:-0.04168729520894142 46:-0.011632078194743222 47:-0.00955331370585474 48:-0.05535466822502754 49:-0.0920150816290648
print(val[0][-1] ) -0.02143220674537429 print(val[0] ) 33:-0.06221513608569242 34:-0.06849135021655883 35:-0.07162313207881235 36:-0.06309723149277043 37:0.036387340179205016 38:0.08978084456343666 39:0.02553053677932897 40:-0.029424557383150664 41:-0.033968063250308926 42:-0.052698143297023464 43:-0.03255025418382515 44:0.12569938394967095 45:0.16201192669772266 46:0.05728323309699908 47:-0.0597890873802021 48:-0.1412316392142619 49:-0.02143220674537429