iSSKJr SSKJr SSKJrJr SSKJr SSK J r J r J r J r Jr SS\S\S \S \S \S \S \4Sjjrg))nan)Series)DictLikeInt)Imports)v_boolv_offset v_pos_defaultv_seriesv_talibNcloselengthtalibpresmaoffsetkwargsreturnc j[US5n[X5nUcg[U5n[US5n[ U5nUR SS5n[ S(aU(aUS:aSS KJn U"X5n OxU(aTUR5nURSUR5n [URSUS- &XRUS- 'URXS 9R5n US:waU RU5n S U;aU RUS SS 9 S U3U lSU lU $)aExponential Moving Average This Moving Average is more responsive than the Simple Moving Average (SMA). Sources: * [investopedia](https://www.investopedia.com/ask/answers/122314/what-exponential-moving-average-ema-formula-and-how-ema-calculated.asp) * [stockcharts](https://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_averages) Parameters: close (Series): ```close``` Series length (int): The period. Default: ```10``` talib (bool): If installed, use TA Lib. Default: ```True``` presma (bool): Initialize with SMA like TA Lib. Default: ```True``` offset (int): Post shift. Default: ```0``` Other Parameters: adjust (bool): Default: ```False``` fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column NTadjustFrr)EMA)spanrfillna)inplaceEMA_overlap)r r r rr setdefaultrrrcopyilocmeanrewmshiftrnamecategory) r rrrrrmode_talrremasma_nths P/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/overlap/ema.pyr'r's':62 &F U #E }u~H FD !F f F   x /FwH!%  JJLEjj6*//1G&)EJJ{ #%,JJvz "iiVi388:{ii6 6(#T 2fXCHCL J)NNNN)numpyrpandasrpandas_ta._typingrrpandas_ta.mapsrpandas_ta.utilsrr r r r boolr'r*r)r2sq+""&'+@ @@ @ $@ @#+@ @r*