Q-j ddlmZmZddlmZddlmZmZddlm Z ddl m Z ddl m Z mZmZmZmZmZmZddlmZ dd ed ed ed edededededededefdZy ))isnannan)Series)DictLikeInt)ma)Imports)v_boolv_driftv_mamodev_offset v_pos_defaultv_seriesv_talib) true_rangeNhighlowcloselengthmamodetalibprenandriftoffsetkwargsreturnc  t|d}|dz} t|| }t|| }t|| }|||yt|d}t|} t |d}t |}t |}tdr| rddlm } | ||||} nzt|||| || }tt|ry| jd d }|r1|d|j}t|d|dz ||j |dz <t#|||| } tt| ry| jd d}|r| d|z z} |dk7r| j%|} d| vr| j'| dd d|d|rdndd|| _d| _| S)aAverage True Range This indicator attempts to quantify volatility with a focus on gaps or limit moves. Sources: * [tradingview](https://www.tradingview.com/wiki/Average_True_Range_(ATR)) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series close (Series): ```close``` Series length (int): The period. Default: ```14``` mamode (str): See ```help(ta.ma)```. Default: ```"rma"``` talib (bool): If installed, use TA Lib. Default: ```True``` prenan (bool): Sets initial values to ```np.nan``` based on ```drift```. Default: ```False``` drift (int): Difference amount. Default: ```1``` offset (int): Post shift. Default: ```0``` Other Parameters: percent (bool): Return as percent. Default: ```False``` fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column rNrmaFrr)ATR)rrrrrrpresmaT)rrpercentdfillna)inplacer!p_ volatility)rrr rr r r r rr!rallrpopmeanrilocrshiftr%namecategory)rrrrrrrrrr_lengthmode_talr!atrtrr"sma_nthr#s f/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/volatility/atr.pyr4r4sD62 &FqjG D' "D 3 C UG $E |s{em fe $Fu~H FE "F ENE f FwH$UF+ 3e6  uRy> Hd+ 6l'')G!B{ O")BGGFQJ F(; 5:jjE*G sU{{ii6 6(#T 2VAYKwB7qACHCL J)NNNNNN)numpyrrpandasrpandas_ta._typingrr pandas_ta.marpandas_ta.mapsr pandas_ta.utilsr r r r rrrrstrboolr4r8r7rBs+"# =A&*&* W WW&,W69W W#W W!$W  W#+ W  Wr8