i4 ZSSKJr SSKJrJr SSKJrJrJr S S\S\S\S\S \4 S jjr g) )Series)DictLikeInt)v_offset v_pos_defaultv_seriesNcloselengthoffsetkwargsreturnc \[US5nSU;aUSb[US5nOUn[U[X55nUcg[ U5nUR XS9R 5nUS:waURU5nSU;aURUSSS9 S U3Ul S Ul U$) aERolling Skew Calculates a rolling Skew. Parameters: close (Series): ```close``` Series length (int): The period. Default: ```30``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column Danger: Possible Data Leak  min_periodsN)rrfillnaT)inplaceSKEW_ statistics) rintrmaxrrollingskewshiftrnamecategory)r r r r rrs T/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/statistics/skew.pyrrs.62 &F6-#8#D&/0  UC4 5E } f F === 9 > > @D{zz&!6 F8$d 3x DI DM K)NN) pandasrpandas_ta._typingrrpandas_ta.utilsrrrrrrr"sH+== "&2 22 2"*2 2r