i SSKJrJr SSKJr SSKJrJr SSKJ r SSK J r SSK J r JrJrJrJrJrJr SSKJr SS \S \S \S \S\S\S\S\S\S\S\4Sjjrg ))isnannan)Series)DictLikeInt)ma)Imports)v_boolv_driftv_mamodev_offset v_pos_defaultv_seriesv_talib) true_rangeNhighlowcloselengthmamodetalibprenandriftoffsetkwargsreturnc H[US5nUS-n [X 5n[X5n[X*5nUbUbUcg[US5n[U5n [ US5n[ U5n[ U5n[S(aU (aSSKJ n U "XX#5n Oz[XUXUS 9n[[U55(agU RS S 5nU(a1USUR5n[USUS- &UUR US- '[#XNX;S 9n [[U 55(agU RS S5nU(aU SU- -n US:waU R%U5n SU ;aU R'U SS S9 SUSU(aSOSSU3U lSU lU $)a^Average 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 S/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/volatility/atr.pyr4r4sD62 &FqjG D "D 3 C U $E |s{em fe $Fu~H FE "F ENE f FwH$U+ e  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