ik fSSKJrJr SSKJrJr SSKJrJrJ r S S\S\S\S\S \S \S \4S jjr g)) DataFrameSeries)DictLikeInt)v_offset v_pos_defaultv_seriesNhighlow lower_length upper_lengthoffsetkwargsreturnc [US5n[US5n[URSU55n[URSU55n[X&X75n[ X5n[ X5nUbUcg[ U5nUR X&S9R5n UR X7S9R5n SX--n SU;a9U RUSSS 9 U RUSSS 9 U RUSSS 9 US :wa3U RU5n U RU5n U RU5n S US U3U l S US U3U l SUS U3U l S=U l =U l U l U RXRXRU 0n [XRS9n SUS U3U l U RU l U $)a-Donchian Channels This indicator attempt to quantify volatility similarily to Bollinger Bands and Keltner Channels. Sources: * [tradingview](https://www.tradingview.com/wiki/Donchian_Channels_(DC)) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series lower_length (int): Lower period. Default: ```20``` upper_length (int): Upper period. Default: ```20``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 3 columns  lmin_periods umin_periodsN) min_periodsg?fillnaT)inplacerDCL__DCM_DCU_ volatility)indexDC_)rintpopmaxr rrollingminrshiftnamecategoryrr)r r r r rrrr_lengthloweruppermiddatadfs X/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/volatility/donchian.pydonchianr.s6!r2L r2Lvzz.,?@Lvzz.,?@L,lIG D "D 3 C |s{ f F KK K ? C C EE LLL @ D D FE  C6 VH%t 4 6(#T 2 VH%t 4{ F#ii F# ~Q|n5EJl^1\N3CH ~Q|n5EJ5AACLA5>EN JJxxjj% @D 4zz *BL><.1BG,,BK I)NNN) pandasrrpandas_ta._typingrrpandas_ta.utilsrrr r.r/r-r4sd$+== 37E EEE,/E E#+E Er/