i* SSKJrJr SSKJrJr SSKJr SSKJ r J r J r J r J r Jr SS\S\S\S \S \S \S \S \S\S\S\4Sjjrg)) DataFrameSeries)DictLikeInt)ma)v_boolv_driftv_mamodev_offset v_pos_defaultv_seriesNhighlowlengthlongshortmamodeasintdriftoffsetkwargsreturnc  [US5n[XS-5n[XS-5nUbUcg[US5n[US5n[US5n[US5n[ U5n[ U5nUR U5U- R5n XR U5- R5n U n U RX:U 5n URU l [X\US9n XU-:nXU-:nU(a*UR[5nUR[5nUS :waDU R U5n U R U5n UR U5nUR U5nS U ;aLU RU S SS 9 U RU S SS 9 URU S SS 9 URU S SS 9 S US US U3nS U3U lSU3U lSU3UlSU3UlS=U lU lU R=UlUlU RU U RU URUURU0n[!UURS9nS U3UlU RUlU$)aCElders 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 V/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/volatility/thermo.pyr0r0s@62 &F D1* %D 3 #C |s{ q !D % %E fe $F 5$ E ENE f Fyy#%**,Gjj'',,.G F \\'+W 5F::FL6&1I,-K./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