i SSKJr SSKJr SSKJrJr SSKJr SSK J r J r J r J r JrJr SS\S\S \S \S \S \S \S\S\4Sjjrg))nan)Series)DictLikeInt)ma)non_zero_rangev_driftv_mamodev_offset v_pos_defaultv_seriesNcloselengthfastslowmamodedriftoffsetkwargsreturnc <[US5n[US5n[US5n[U[X#U55nUcg[US5n[ U5n[ U5nS[ S[4SjnU"U5n U"U5n [XRU55R5n [XRU55R5n U RU5R5n X- nXU - -U -nX-nURn[X@RSU4SU0UD6RS n[!S US - 5Vs/sH n["PM snU/-n[!UU5HMnUR%UR&UUR&U-S UR&U- UUS - --5 MO [)UUR*S 9nUS :waURU5nS U;aUR-US SS9 SUSUSU3UlSUlU$s snf)a\Kaufman's Adaptive Moving Average This indicator, by Perry Kaufman, attempts to find the overall trend by adapting to volatility. Sources: * [stockcharts](https://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:kaufman_s_adaptive_moving_average) * [tradingview](https://www.tradingview.com/script/wZGOIz9r-REPOST-Indicators-3-Different-Adaptive-Moving-Averages/) Parameters: close (Series): ```close``` Series length (int): The period. Default: ```10``` fast (int): Fast MA period. Default: ```2``` slow (int): Slow MA period. Default: ```30``` mamode (str): See ```help(ta.ma)```. Default: ```"sma"``` drift (int): Difference amount. Default: ```1``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column NsmarrcSUS-- $)Nr)rs Q/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/overlap/kama.pyweightkama..weight<sFQJrr)indexfillnaT)inplaceKAMA__overlap)r r maxr r r intfloatrshiftabsrollingsumsizerilocrangerappendiatrr$r%namecategory)rrrrrrrrr frsrabs_diff peer_diff peer_diff_sumerxscmma0r(resultikamas rrDrDs<62 &F q !D r "D UCF3 4E } fe $F ENE f F s u  B Be[[%89==?Hukk%&89==?I%%f-113M  !B 2gA B A VZZ( B B6 B G G KC FQJ/ 0/ac/ 0C5 8F 61  bffQi%))A,.266!9}q1u -. / & ,D{zz&!6 F8$d 3xqav.DIDM K'1sH)NNNNNN)numpyrpandasrpandas_ta._typingrr pandas_ta.marpandas_ta.utilsrr r r r r strrDrr"rrKs+FJ%)M MM-0M?BM M"M M#+M Mr"