Source code for

# -*- coding: utf-8 -*-
from pandas_ta import Imports
from pandas_ta.utils import get_offset, verify_series

[docs]def mom(close, length=None, talib=None, offset=None, **kwargs): """Indicator: Momentum (MOM)""" # Validate Arguments length = int(length) if length and length > 0 else 10 close = verify_series(close, length) offset = get_offset(offset) mode_tal = bool(talib) if isinstance(talib, bool) else True if close is None: return # Calculate Result if Imports["talib"] and mode_tal: from talib import MOM mom = MOM(close, length) else: mom = close.diff(length) # Offset if offset != 0: mom = mom.shift(offset) # Handle fills if "fillna" in kwargs: mom.fillna(kwargs["fillna"], inplace=True) if "fill_method" in kwargs: mom.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it = f"MOM_{length}" mom.category = "momentum" return mom
mom.__doc__ = \ """Momentum (MOM) Momentum is an indicator used to measure a security's speed (or strength) of movement. Or simply the change in price. Sources: Calculation: Default Inputs: length=1 MOM = close.diff(length) Args: close (pd.Series): Series of 'close's length (int): It's period. Default: 1 talib (bool): If TA Lib is installed and talib is True, Returns the TA Lib version. Default: True offset (int): How many periods to offset the result. Default: 0 Kwargs: fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method Returns: pd.Series: New feature generated. """