i SSKJr SSKJrJrJr SSKJr SSKJ r J r J r J r J r JrJrJr SSKJr SS\S\S \S \S \S \S \S\S\S\S\S\4Sjjrg))Series)DictLikeIntIntFloat)Imports)v_boolv_driftv_mamodev_offset v_pos_defaultv_scalarv_seriesv_talib)atrNhighlowcloselengthscalarmamodetalibprenandriftoffsetkwargsreturnc  [US5nUS-n [X 5n[X5n[X+5nUbUbUcg[US5n[US5n[ U5n [ US5n[ U5n[U 5n [S(aU (aSS K J n U "XX#5nOXB- [SXX#XXU XyS . U D6-nU S:waURU 5nS U ;aURU S S S 9 SU3UlSUlU$)aNormalized Average True Range This indicator applies a normalizer to Average True Range. Sources: * [tradingtechnologies](https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/normalized-average-true-range-natr/) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series close (Series): ```close``` Series length (int): The period. Default: ```20``` scalar (float): Scalar. Default: ```100``` mamode (str): See ```help(ta.ma)```. Default: ```"ema"``` talib (bool): If installed, use TA Lib. Default: ```True``` prenan (bool): Sets initial values to ```np.nan``` based on ```drift```. Default: ```False``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column Warning: TA-Lib Correlation: ```np.float64(0.9506743353852364)``` Tip: Corrective contributions welcome! NdemaFrr)NATR) rrrrrrrrrfillnaT)inplaceNATR_ volatility)r rr r rrr r rrr"rshiftr#namecategory)rrrrrrrrrrr_lengthmode_talr"natrs T/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/volatility/natr.pyr-r-s%L62 &FqjG D "D 3 C U $E |s{em fc "F fe $Fu~H FE "F ENE f FwHDu-  eh -3  {zz&!6 F8$d 3x DI DM K)NNNNNNN)pandasrpandas_ta._typingrrrpandas_ta.mapsrpandas_ta.utilsrr r r r r rrpandas_ta.volatilityrstrboolr-r'r/r.r7s55"   % @D:> N NN&,N N (N9<N N!%N58N  N#+ N  Nr/