Q-j ddlmZddlmZddlmZmZddlmZddl m Z m Z m Z m Z mZmZ ddeded ed ed ed ed ededefdZy))nan)Series)DictLikeInt)ma)non_zero_rangev_driftv_mamodev_offset v_pos_defaultv_seriesNcloselengthfastslowmamodedriftoffsetkwargsreturnc Bt|d}t|d}t|d}t|t|||}|yt|d}t |}t |}dt dtfd}||} ||} t||j|j} t||j|j} | j|j} | | z }|| | z z| z}||z}|j}t||jd|fd|i|jd }t!d |d z Dcgc]}t" c}|gz}t!||D]L}|j%|j&||j&|zd |j&|z ||d z zzNt)||j* }|d k7r|j|}d |vr|j-|d dd|d|d||_d|_|Scc}w)aKaufman'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 Nsmarrcd|dzz S)Nr)rs d/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/overlap/kama.pyweightzkama..weight<sFQJrr)indexfillnaT)inplaceKAMA__overlap)r r maxr r r intfloatrshiftabsrollingsumsizerilocrangerappendiatrr#r$namecategory)rrrrrrrrr frsrabs_diff peer_diff peer_diff_sumerxscmma0r'resultikamas rrCrCs,<62 &F q !D r "D UCdF3 4E } fe $F ENE f F s u  B BeU[[%89==?Huekk%&89==?I%%f-113M M !B b2gA QB A VUZZ( B B6 B G G KC FQJ/ 0/ac/ 0C5 8F 61  bffQi%))A,.266!9}q1u -. / & ,D{zz&!6 F8$d 3xqav.DIDM K'1s H)NNNNNN)numpyrpandasrpandas_ta._typingrr pandas_ta.marpandas_ta.utilsrr r r r r strrCrr!rrJs+FJ%)M MM-0M?BM M"M M#+M Mr!