iSSKJr SSKJrJrJrJr SSKJr SSK J r J r SSK J r SSKJrJrJrJrJr \"SS9S 5rSS \S \ S \S\S\ S\ S\4Sjjrg ))njit)arangefloat64nan zeros_like)Series)DictLikeInt)Imports) v_ascendingv_offset v_pos_defaultv_seriesv_talibT)cachec&URn[SUS-[S9n[U[S9nU(dUSSS2n[ US- U5H"nXPXq- S-US--R 5Xg'M$ USX-U-- -nU(a [ USUS- &U$)N)dtype)sizerrrrangesumr)xnascprenanmwresultis P/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/overlap/wma.pynb_wmar#s Aq!a%w'A  )F  ddG 1q5!_1519QU++002  a1519oF vA MNcloselengthrtaliboffsetkwargsreturnc [US5n[X5nUcg[U5n[U5n[ U5n[ S(aU(aSSKJn U"X5nO0UR5n [XUS5n [XRS9nUS:waURU5nSU;aURUSSS 9 S U3UlS UlU$) atWeighted Moving Average This indicator is a Moving Average where the weights are linearly increasing and the most recent data has the heaviest weight. Sources: * [wikipedia](https://en.wikipedia.org/wiki/Moving_average#Weighted_moving_average) Parameters: close (Series): ```close``` Series length (int): The period. Default: ```10``` asc (bool): Recent values weigh more. Default: ```True``` talib (bool): If installed, use TA Lib. Default: ```True``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column Nr'r)WMAT)indexfillna)inplaceWMA_overlap)rrr rr r r'r-to_numpyr#rr.shiftr/namecategory) r%r&rr'r(r)mode_talr-wmanp_closewma_s r"r8r8$s662 &F U #E } c Cu~H f FwH% >>#hT2T-{ii6 6(#T 2fXCHCL Jr$)NNNN)numbarnumpyrrrrpandasrpandas_ta._typingr r pandas_ta.mapsr pandas_ta.utilsr r rrrr#boolr8r$r"rCs22+"D&"&$(: :: :!: :#+: :r$