iSSKJrJr SSKJrJrJr SSKJr SSK J r SSK J r SSK JrJrJrJrJrJrJr SS\S \S \S \S \S \S\S\S\S\4Sjjrg)) DataFrameSeries)DictLikeIntIntFloat)ma)Imports)stdev)non_zero_rangetal_mav_mamodev_offset v_pos_defaultv_seriesv_talibNcloselength lower_std upper_stdddofmamodetaliboffsetkwargsreturnc ,[US5n[X5nUcg[US5n[US5n[U[5(aSUs=::aU:aO O [U5OSn[ US5n[ U5n [ U5n[S(a$U (aSSKJ n U "XX2[U55upn O)[XXIS 9nX.-nX>-n[XP4XS .UD6n X- n U U-n [X5nS U-U - n[X 5U- nUS:waUU RU5n U RU5n U RU5n URU5nURU5nS U;a_U RUS S S9 U RUS S S9 U RUS S S9 URUS S S9 URUS S S9 SUSUSU3nSU3U lSU3U lSU3U lSU3UlSU3UlS=U lU lU R"=U lUlU R U U R U U R U UR UUR U0n[%UUR&S9nSU3UlU R"UlU$)auBollinger 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 V/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/volatility/bbands.pybbandsr?sL61 %F U #E }i-Ii-I"4--!t2Df2D3t9!D fe $Fu~H f FwH "5)vWEeN$.$.HvHH&&&  &Cc CIU*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@