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indicator_helpers: apply correct typehints

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This commit is contained in:
gcarq 2018-03-17 22:16:03 +01:00
parent 31e2aa0f38
commit 2de63133ae
1 changed files with 6 additions and 6 deletions
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12
freqtrade/indicator_helpers.py
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@ -1,19 +1,19 @@
from math import exp, pi, sqrt, cos
import numpy
import numpy as np
import talib as ta
from pandas import Series
def went_up(series: Series) -> Series:
def went_up(series: Series) -> bool:
return series > series.shift(1)
def went_down(series: Series) -> Series:
def went_down(series: Series) -> bool:
return series < series.shift(1)
def ehlers_super_smoother(series: Series, smoothing: float = 6):
def ehlers_super_smoother(series: Series, smoothing: float = 6) -> type(Series):
magic = pi * sqrt(2) / smoothing
a1 = exp(-magic)
coeff2 = 2 * a1 * cos(magic)
@ -29,7 +29,7 @@ def ehlers_super_smoother(series: Series, smoothing: float = 6):
return filtered
def fishers_inverse(series: Series, smoothing: float = 0):
def fishers_inverse(series: Series, smoothing: float = 0) -> np.ndarray:
""" Does a smoothed fishers inverse transformation.
Can be used with any oscillator that goes from 0 to 100 like RSI or MFI """
v1 = 0.1 * (series - 50)
@ -37,4 +37,4 @@ def fishers_inverse(series: Series, smoothing: float = 0):
v2 = ta.WMA(v1.values, timeperiod=smoothing)
else:
v2 = v1
return (numpy.exp(2 * v2)-1) / (numpy.exp(2 * v2) + 1)
return (np.exp(2 * v2)-1) / (np.exp(2 * v2) + 1)