Q-jddlmZmZddlmZmZmZddlmZddl m Z ddl m Z ddl mZmZmZmZmZmZmZ dded ed ed ed ed ededededefdZy)) DataFrameSeries)DictLikeIntIntFloat)ma)Imports)stdev)non_zero_rangetal_mav_mamodev_offset v_pos_defaultv_seriesv_talibNcloselength lower_std upper_stdddofmamodetaliboffsetkwargsreturnc Ft|d}t||}|yt|d}t|d}t|trd|cxkr|krnn t|nd}t |d}t |} t |}tdr"| r ddlm } | ||||t|\} } } n3t|||| }||z}||z}t||f|| d |} | |z } | |z} t| | }d |z| z }t|| |z }|dk7rU| j|} | j|} | j|} |j|}|j|}d |vrn| j|d d | j|d d | j|d d |j|d d |j|d d d|d|d|}d|| _d|| _d|| _d||_d||_dx| _| _| j"x| _|_| j | | j | | j | |j ||j |i}t%||j&}d||_| j"|_|S)aBollinger Bands This indicator, by John Bollinger, attempts to quantify volatility by creating lower and upper bands centered around a moving average. Sources: * [tradingview](https://www.tradingview.com/wiki/Bollinger_Bands_(BB)) Parameters: close (Series): ```close``` Series length (int): The period. Default: ```5``` lower_std (IntFloat): Lower standard deviation. Default: ```2.0``` upper_std (IntFloat): Upper standard deviation. Default: ```2.0``` ddof (int): Degrees of Freedom to use. Default: ```0``` mamode (str): See ```help(ta.ma)```. Default: ```"sma"``` talib (bool): If installed, use TA Lib. Default: ```True``` ddof (int): By default, uses Pandas ```ddof=1```. For Numpy calculation, use ```0```. Default: ```1``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 5 columns Note: * TA Lib does not have a ```ddof``` parameter. * The divisor used in calculations is: ```N - ddof```, where ```N``` is the number of elements. To use ```ddof```, set ```talib=False```. Ng@rsmar)BBANDS)rrrr)rrdfillnaT)inplace_BBLBBMBBUBBBBBP volatility)indexr )rr isinstanceintr rrr rr r r rr shiftr"namecategoryrr+)rrrrrrrrrmode_talr uppermidlowerstd_devlower_deviationsupper_deviationsulr bandwidthpercent_propsdatadfs i/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/volatility/bbands.pybbandsr?sL61 %F UF #E }i-Ii-I"4-!t2Df2D3t9!D fe $Fu~H f FwH "5&)YvWsEeFXN$w.$w.HvXHH&&&&  &Cc CIUE*S0G{ F#ii F#OOF+ --'6 VH%t 4 6(#T 2 VH%t 4)48vh'6)Ai[ 1FvhEJVH~CHvhEJ6(^IN>GL&22ENU^(-6CL9%  E # E  g  D 4u{{ +BvhBG,,BK I)NNNNNNN)pandasrrpandas_ta._typingrrr pandas_ta.marpandas_ta.mapsr pandas_ta.statisticsr pandas_ta.utilsr r r rrrrstrboolr?r@r>rJs$55"&"&6:8< i iii+3i i"i26i  i#+ i  ir@