Q-j ddlmZddlmZmZmZddlmZddlm Z m Z m Z m Z m Z mZmZmZddlmZ ddeded ed ed ed ed edededededefdZy))Series)DictLikeIntIntFloat)Imports)v_boolv_driftv_mamodev_offset v_pos_defaultv_scalarv_seriesv_talib)atrNhighlowcloselengthscalarmamodetalibprenandriftoffsetkwargsreturnc  t|d}|dz} t|| }t|| }t|| }|||yt|d}t|d}t |} t |d}t |}t| } tdr| rdd l m } | ||||}n||z td||||||| || d | z}| dk7r|j| }d | vr|j| d d d||_d|_|S)a Normalized 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 g/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/volatility/natr.pyr-r-s9L62 &FqjG D' "D 3 C UG $E |s{em fc "F fe $Fu~H FE "F ENE f FwHD#uf-  3eFh& -3  {zz&!6 F8$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/