https://github.com/bukosabino/ta
Tip revision: 1e8c497722a8e2222b070738b9cf088bf679b039 authored by Dario Lopez Padial on 21 October 2019, 21:44:00 UTC
setup for new version
setup for new version
Tip revision: 1e8c497
others.py
# -*- coding: utf-8 -*-
"""
.. module:: others
:synopsis: Others Indicators.
.. moduleauthor:: Dario Lopez Padial (Bukosabino)
"""
import numpy as np
import pandas as pd
def daily_return(close, fillna=False):
"""Daily Return (DR)
Args:
close(pandas.Series): dataset 'Close' column.
fillna(bool): if True, fill nan values.
Returns:
pandas.Series: New feature generated.
"""
dr = (close / close.shift(1, fill_value=close.mean())) - 1
dr *= 100
if fillna:
dr = dr.replace([np.inf, -np.inf], np.nan).fillna(0)
return pd.Series(dr, name='d_ret')
def daily_log_return(close, fillna=False):
"""Daily Log Return (DLR)
https://stackoverflow.com/questions/31287552/logarithmic-returns-in-pandas-dataframe
Args:
close(pandas.Series): dataset 'Close' column.
fillna(bool): if True, fill nan values.
Returns:
pandas.Series: New feature generated.
"""
dr = np.log(close).diff()
dr *= 100
if fillna:
dr = dr.replace([np.inf, -np.inf], np.nan).fillna(0)
return pd.Series(dr, name='d_logret')
def cumulative_return(close, fillna=False):
"""Cumulative Return (CR)
Args:
close(pandas.Series): dataset 'Close' column.
fillna(bool): if True, fill nan values.
Returns:
pandas.Series: New feature generated.
"""
cr = (close / close.iloc[0]) - 1
cr *= 100
if fillna:
cr = cr.replace([np.inf, -np.inf], np.nan).fillna(method='backfill')
return pd.Series(cr, name='cum_ret')