cdl_z

API documentation for pandas_ta.candles.cdl_z Python function.

cdl_z(open_, high, low, close, length=None, full=None, ddof=None, offset=None, **kwargs)

Candle Type: Z

Normalizes OHLC Candles with a rolling Z Score.

Source: Kevin Johnson

Calculation:

Default values:

length=30, full=False, ddof=1

Z = ZSCORE

open = Z( open, length, ddof) high = Z( high, length, ddof) low = Z( low, length, ddof) close = Z(close, length, ddof)

Args:

open_ (pd.Series): Series of ‘open’s high (pd.Series): Series of ‘high’s low (pd.Series): Series of ‘low’s close (pd.Series): Series of ‘close’s length (int): The period. Default: 10

Kwargs:

naive (bool, optional): If True, prefills potential Doji less than

the length if less than a percentage of it’s high-low range. Default: False

fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method

Returns:

pd.Series: CDL_DOJI column.