rsi#

rsi(close, length=None, scalar=None, talib=None, drift=None, offset=None, **kwargs)[source]#

Relative Strength Index (RSI)

The Relative Strength Index is popular momentum oscillator used to measure the velocity as well as the magnitude of directional price movements.

Sources:

https://www.tradingview.com/wiki/Relative_Strength_Index_(RSI)

Calculation:

Default Inputs:: length=14, scalar=100, drift=1

ABS = Absolute Value RMA = Rolling Moving Average

diff = close.diff(drift) positive = diff if diff > 0 else 0 negative = diff if diff < 0 else 0

pos_avg = RMA(positive, length) neg_avg = ABS(RMA(negative, length))

RSI = scalar * pos_avg / (pos_avg + neg_avg)

Args:

close (pd.Series): Series of ‘close’s length (int): It’s period. Default: 14 scalar (float): How much to magnify. Default: 100 talib (bool): If TA Lib is installed and talib is True, Returns the TA Lib

version. Default: True

drift (int): The difference period. Default: 1 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.