Q-j ddlmZmZddlmZmZmZddlmZddl m Z m Z m Z m Z mZmZddlmZ dded ed ed ed ed ededededefdZy)) DataFrameSeries)DictLikeIntIntFloat)ma)high_low_rangev_boolv_mamodev_offset v_pos_defaultv_series) true_rangeNhighlowcloselengthscalartrmamodeoffsetkwargsreturnc t|d}|dz} t|| }t|| }t|| }|||yt|d}t|d}t|d}t |}|r t |||n t ||} t|||} t|| |} | || zz } | || zz}|dk7r3| j|} | j|} |j|}d |vrB| j|d d | j|d d |j|d d t|r|jdnd d |d |}d || _ d|| _ d||_ dx| _ x|_ | _ | j| | j| |j|i}t||j}d||_ | j|_ |S)aMKeltner Channels This indicator attempts to identify volatility similarily to Bollinger Bands and Donchian Channels. Sources: * [tradingview](https://www.tradingview.com/wiki/Keltner_Channels_(KC)) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series close (Series): ```close``` Series length (int): The period. Default: ```20``` scalar (float): Band scalar. Default: ```2``` mamode (str): See ```help(ta.ma)```. Default: ```"ema"``` offset (int): Post shift. Default: ```0``` Other Parameters: tr (bool): Use True Range calculation. Otherwise use ```high - low``` for range computation. Default: ```True``` fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 3 columns rNTema)rrfillna)inplace_KCLKCBKCU volatility)indexKC)r rr r r rr rshiftrlenlowernamecategoryrr')rrrrrrrrr_lengthrange_basisbandr+upper_propsdatadfs e/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/volatility/kc.pykcr7s@62 &FqjG D' "D 3 C UG $E |s{em 61 %F D B fe $F f F.0Zc5 )^D#5NF vuV ,E ffV ,D FTM !E FTM !E{ F# F# F#6 VH%t 4 VH%t 4 VH%t 4&)[ q!b96(!F8 LFvhEJvhEJvhEJ7CCENCU^en JJuzz5%**e DD 4u{{ +B6(mBG..BK I)NNNNN)pandasrrpandas_ta._typingrrr pandas_ta.marpandas_ta.utilsr r r r r rrboolstrr7r8r6r@s$55# ,0#' N NN&,N N (N N!N  N#+ N  Nr8