i SSKJrJr SSKJrJrJr SSKJr SSK J r J r J r J r JrJr SSKJr SS\S \S \S \S \S \S\S\S\S\4Sjjrg)) DataFrameSeries)DictLikeIntIntFloat)ma)high_low_rangev_boolv_mamodev_offset v_pos_defaultv_series) true_rangeNhighlowcloselengthscalartrmamodeoffsetkwargsreturnc [US5nUS-n [X 5n[X5n[X)5nUbUbUcg[US5n[US5n[US5n[ U5nU(a [ XU5O [ X5n [XbUS9n [XjUS9n XU -- n XU --nUS:wa3U RU5n U RU5n URU5nS U;a9U RUS SS 9 U RUS SS 9 URUS SS 9 [U5(aUR5SOS S US U3nS U3U l SU3U l SU3Ul S=U l =Ul U l U RXRXRU0n[UURS9nSU3Ul U RUl U$)aKeltner 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 R/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/volatility/kc.pykcr7s@62 &FqjG D "D 3 C U $E |s{em 61 %F D B fe $F f F.0Z5 )^D5NF vV ,E fV ,D TM !E TM !E{ F# F# F#6 VH%t 4 VH%t 4 VH%t 4&)[[ q!b96(!F8 LFvhEJvhEJvhEJ7CCENCU^en JJzz5**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