i SSKJrJrJrJrJrJrJr SSKJ r SSK J r J r Jr SSKJr SSKJrJrJrJr SS\S\ S \S \S \ S \ S \4Sjjrg))appendarangearrayexpfloornan tensordot)version)DictLikeIntIntFloat)Series)strided_windowv_offset v_pos_defaultv_seriesNcloselengthsigma dist_offsetoffsetkwargsreturnc [US5n[X5nUcg[US5n[U[5(aSUs=::aS::aO O [U5nOSn[ U5nUR 5n[ U5n[XaS- -5n [SX!- X- -S--5n XR5-n [S :aSS K J n U "Xq5n O [Xq5n [[[ /US- -5[#XSS 95n [%XR&S 9nUS:waUR)U5nS U;aUR+US SS9 SUSUSU3UlSUlU$)aArnaud Legoux Moving Average This indicator attempts to reduce lag with Gaussian smoothing. Sources: * [prorealcode](https://www.prorealcode.com/prorealtime-indicators/alma-arnaud-legoux-moving-average/) * [sierrachart](https://www.sierrachart.com/index.php?page=doc/StudiesReference.php&ID=475&Name=Moving_Average_-_Arnaud_Legoux) Parameters: close (Series): ```close``` Series length (int): The period. Default: ```9``` sigma (float): Smoothing value. Default ```6.0``` dist_offset (float): Distribution offset, range ```[0, 1]```. Default ```0.85``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column Ng@rg333333?gz1.20.0)sliding_window_view)axes)indexfillnaT)inplaceALMA__overlap)rr isinstancefloatrto_numpyrrrsum np_versionnumpy.lib.stride_tricksrrrrrr rr shiftr!namecategory)rrrrrroffset_np_closexkweightsrwindowresultalmas Q/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/overlap/alma.pyr6r6 sd861 %F U #E } % %E+u%%!{*?a*? $ f F~~HvA g!$%A$5>ae4::;G {{}GX?$X61 E3%6A:./fA68F & ,D{zz&!6 F8$d 3xqq 2DIDM K)NNNN)numpyrrrrrrr numpy.versionr r*pandas_ta._typingr r r pandasrpandas_ta.utilsrrrrr6r8r7r?svCCC/55MM "&48G GG G)1G G#+G Gr8