Q-j* ddlmZmZddlmZmZddlmZddlm Z m Z m Z m Z m Z mZ ddededed ed ed ed ed edededefdZy)) DataFrameSeries)DictLikeInt)ma)v_boolv_driftv_mamodev_offset v_pos_defaultv_seriesNhighlowlengthlongshortmamodeasintdriftoffsetkwargsreturnc  t|d}t||dz}t||dz}||yt|d}t|d}t|d}t|d}t |}t |}|j ||z j} ||j |z j} | } | j| | k| } |j| _ t|| |} | | |zk}| | |zkD}|r*|jt}|jt}|d k7rD| j |} | j |} |j |}|j |}d | vrX| j| d d | j| d d |j| d d |j| d d d |d |d |}d || _d|| _d||_d||_dx| _| _| jx|_|_| j| | j| |j||j|i}t!||j}d ||_| j|_|S)aElders Thermometer This indicator, by Dr Alexander Elder, attempts to quantify volatility. Sources: * [motivewave](https://www.motivewave.com/studies/elders_thermometer.htm) * [tradingview](https://www.tradingview.com/script/HqvTuEMW-Elder-s-Market-Thermometer-LazyBear/) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series length (int): The period. Default: ```20``` long (int): Buy factor. Default: ```2``` short (float): Sell factor. Default: ```0.5``` mamode (str): See ```help(ta.ma)```. Default: ```"ema"``` asint (int): Returns as int. Default: ```True``` drift (int): Difference amount. Default: ```1``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 4 columns Ng?emaT)rrfillna)inplace_THERMOTHERMOmaTHERMOlTHERMOs volatility)index)r r r rr r shiftabswherer&rastypeintrnamecategoryr)rrrrrrrrrrthermoLthermoHthermo thermo_ma thermo_long thermo_short_propsdatadfs i/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/volatility/thermo.pyr0r0s@62 &F D&1* %D 3 #C |s{ q !D % %E fe $F 5$ E ENE f Fyy#%**,Gdjj'',,.G F \\'G+W 5F::FL66&1II,-KY./L !((- #**3/ {f%OOF+ !''/ #))&1 6 fX& 5)486(+T:F8,d;$q (F6(#FKx(IN )K!&*L+77FOi(39??BK<0  V +<  D 4tzz *BvhBG//BK I)NNNNNNN)pandasrrpandas_ta._typingrr pandas_ta.marpandas_ta.utilsrr r r r r strboolr0r8r7r@s$+.2#'9= _ __'*_ _ _ _ $_47_  _#+ _  _r8