massi#
API documentation for pandas_ta.volatility.massi Python function.
- massi(high, low, fast=None, slow=None, offset=None, **kwargs)[source]#
Mass Index (MASSI)
The Mass Index is a non-directional volatility indicator that utilitizes the High-Low Range to identify trend reversals based on range expansions.
- Sources:
https://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:mass_index mi = sum(ema(high - low, 9) / ema(ema(high - low, 9), 9), length)
- Calculation:
- Default Inputs:
fast: 9, slow: 25
EMA = Exponential Moving Average hl = high - low hl_ema1 = EMA(hl, fast) hl_ema2 = EMA(hl_ema1, fast) hl_ratio = hl_ema1 / hl_ema2 MASSI = SUM(hl_ratio, slow)
- Args:
high (pd.Series): Series of ‘high’s low (pd.Series): Series of ‘low’s fast (int): The short period. Default: 9 slow (int): The long period. Default: 25 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.