i SSKJr SSKJrJr SSKJr SSKJrJ r SSK J r SSK J r JrJrJrJr \"SS9S 5rSS \S \ S \S\ S\S\4 Sjjrg ))njit)convolveones)Series)DictLikeInt)Imports) nb_prependv_offset v_pos_defaultv_seriesv_talibT)cachec`[[U5U- U5US- SU- n[X!S- 5$)N)rrr )xnresults P/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/overlap/sma.pynb_smars4 d1gk1 %a!eAE 2F f!e $$Ncloselengthtaliboffsetkwargsreturnc [US5nSU;aUSb[US5nOUn[U[X55nUcg[ U5n[ U5n[ S(aU(aUS:aSSKJn U"X5nO.UR5n [X5n[XRS9nUS:waURU5nS U;aURUS S S 9 S U3UlS UlU$)aSimple Moving Average This indicator is the the textbook moving average, a rolling sum of values divided by the window period (or length). Sources: * [tradingtechnologies](https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/simple-moving-average-sma/) Parameters: close (Series): ```close``` Series length (int): The period. Default: ```10``` talib (bool): If installed, use TA Lib. Default: ```True``` offset (int): Post shift. Default: ```0``` Other Parameters: adjust (bool): Adjust the values. Default: ```True``` presma (bool): If True, uses SMA for initial value. fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column min_periodsNrrr)SMA)indexfillnaT)inplaceSMA_overlap)r intr maxrr r rr!to_numpyrrr"shiftr#namecategory) rrrrrr mode_talr!smanp_closes rr.r.s662 &F6-#8#D&/0  UC4 5E }u~H f FwH!% >>#X&S ,{ii6 6(#T 2fXCHCL Jr)NNN)numbarnumpyrrpandasrpandas_ta._typingrrpandas_ta.mapsr pandas_ta.utilsr r r r rrboolr.rrr8sv +"D%% 6:= ==.2= ="*= =r