Welcome to Technical Analysis Library in Python's documentation!¶ ... It is a Technical Analysis library to financial time series datasets (open, close, high, low,​ ...TechnicalAnalysisLibraryinPythonlatestTATechnicalAnalysisLibraryinPythonDocs»WelcometoTechnicalAnalysisLibraryinPython’sdocumentation!EditonGitHubWelcometoTechnicalAnalysisLibraryinPython’sdocumentation!¶ItisaTechnicalAnalysislibrarytofinancialtimeseriesdatasets(open,close,high,low,volume).Youcanuseittodofeatureengineeringfromfinancialdatasets.ItisbuildedonPythonPandaslibrary.Installation(python>=v3.6)¶>virtualenv-ppython3virtualenvironment>sourcevirtualenvironment/bin/activate>pipinstalltaExamples¶Exampleaddingallfeatures:importpandasaspdfromtaimportadd_all_ta_featuresfromta.utilsimportdropna#Loaddatasdf=pd.read_csv('ta/tests/data/datas.csv',sep=',')#CleanNaNvaluesdf=dropna(df)#AddtafeaturesfillingNaNvaluesdf=add_all_ta_features(df,open="Open",high="High",low="Low",close="Close",volume="Volume_BTC",fillna=True)Exampleaddingaparticularfeature:importpandasaspdfromta.utilsimportdropnafromta.volatilityimportBollingerBands#Loaddatasdf=pd.read_csv('ta/tests/data/datas.csv',sep=',')#CleanNaNvaluesdf=dropna(df)#InitializeBollingerBandsIndicatorindicator_bb=BollingerBands(close=df["Close"],window=20,window_dev=2)#AddBollingerBandsfeaturesdf['bb_bbm']=indicator_bb.bollinger_mavg()df['bb_bbh']=indicator_bb.bollinger_hband()df['bb_bbl']=indicator_bb.bollinger_lband()#AddBollingerBandhighindicatordf['bb_bbhi']=indicator_bb.bollinger_hband_indicator()#AddBollingerBandlowindicatordf['bb_bbli']=indicator_bb.bollinger_lband_indicator()Motivation¶English:https://towardsdatascience.com/technical-analysis-library-to-financial-datasets-with-pandas-python-4b2b390d3543Spanish:https://medium.com/datos-y-ciencia/biblioteca-de-an%C3%A1lisis-t%C3%A9cnico-sobre-series-temporales-financieras-para-machine-learning-con-cb28f9427d0Contents¶TAMomentumIndicatorsVolumeIndicatorsVolatilityIndicatorsTrendIndicatorsOthersIndicatorsIndice