i8 SSKJrJr SSKJrJr SSKJr SSKJ r J r J r J r SSK J r SSKJr SS \S \S \S \S \S\S\S\4Sjjrg)) DataFrameSeries)DictLikeInt)ma)v_mamodev_offset v_pos_defaultv_series)long_run) short_runNclosefastslowlookbackmamodeoffsetkwargsreturnc ~[US5n[US5n[US5n[U[XU55nUcg[US5n[ U5nSU;aUR S5 [ X@4SU0UD6n[ X@4SU0UD6n[XxUS9n [XxUS9n US:wa"U RU5n U RU5n S U;a&U RUS S S 9 U RUS S S 9 S US US U3n S USSU 3U S USSU 3U 0n [XRS9n S USU 3U l SU lU $)aArcher Moving Averages Trends This indicator, by Kevin Johnson, attempts to identify both long run and short run trends. Sources: * Kevin Johnson * [tradingview](https://www.tradingview.com/script/Z2mq63fE-Trade-Archer-Moving-Averages-v1-4F/) Parameters: close (Series): ```close``` Series fast (int): Fast MA period. Default: ```8``` slow (int): Slow MA period. Default: ```21``` lookback (int): Lookback period for ```long_run``` and ```short_run```. Default: ```2``` mamode (str): See ```help(ta.ma)```. Default: ```"ema"``` offset (int): Post shift. Default: ```0``` Other Parameters: run_length (int): OBV trend period. Default: ```2``` fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 2 columns Note: Both the long run and short run values are integers, where ```1``` is a trend and ```0``` is not a trend. Nemalength)rrfillnaT)inplace_AMAT_LR_SR)indextrend)r r maxrr poprr rshiftrrr#namecategory)rrrrrrrfast_maslow_mamas_long mas_short_propsdatadfs O/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/trend/amat.pyamatr2 sF q !D r "DXq)H UCH5 6E } fe $F f F6 86t6v6G6t6v6G:H'8>&)OOF+ 6x($7)48avQxj )F vaykVH%x vaykVH%y D 4{{ +BVAYKx(BGBK I)NNNNN)pandasrrpandas_ta._typingrr pandas_ta.marpandas_ta.utilsrr r r r rstrr2r3r1r:sy$+GG 26(,L LL+.LL"%L L#+L Lr3