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

Trading Technical Indicators (tti) is an open source python library for Technical Analysis of trading indicators, using traditional methods and machine learning ... TradingTechnicalIndicatorsOpenSourcePythonLibraryWhereTraditionalTechnicalAnalysis andAIaremetAPIataGlanceInstallationAPIDocsExamplesGithubBugTrackerRoadmapDiscussionAboutTradingTechnicalIndicators(tti)isanopensourcepythonlibraryforTechnicalAnalysisoftradingindicators,usingtraditionalmethodsandmachinelearningalgorithms.​CurrentReleasedVersion0.2.2​Calculatetechnicalindicators(62indicatorssupported).Producegraphsforanytechnicalindicator.Gettradingsignalsforeachindicator.Tradingsimulationbasedontradingsignals.MachineLearningintegrationforpricesdirectionprediction(notincludedinthisrelease).​​​ChangeLog StableReleases 0.2.2:Incompatibilitieswiththelatestpandasrelease1.2.0fixed(#20)0.2.1:Bugfixes,newpandasreleasecausesanexceptioninsomeindicatorscalculation(#20)0.2.0:Firststablerelease,updatesdescribedinthefollowinggithubissues(#2,#3,#14,#15) BetaReleases 0.1.b3:Updatesdescribedinthefollowinggithubissues(#7,#8,#11)0.1.b2:Bugsfixesdescribedinthefollowinggithubissue(#1)0.1.b1:Cosmeticchangesinpackagebuildingfileapplied(setup.py)0.1.b0:Firstbetarelease PlannedReleases 1.0.0:Fullfeaturedrelease,includingmachinelearningrelatedfeatures(plannedfor31.05.2021).​​Tradingtechnicalindicatorssupported:​AccumulationDistributionLineAverageTrueRangeBollingerBandsChaikinMoneyFlowChaikinOscillatorChandeMomentumOscillatorCommodityChannelIndexDetrendedPriceOscillatorDirectionalMovementIndexDoubleExponentialMovingAverageEaseOfMovementEnvelopesFibonacciRetracementForecastOscillatorIchimokuCloudIntradayMovementIndexKlingerOscillatorLinearRegressionIndicatorLinearRegressionSlopeMarketFacilitationIndexMassIndexMedianPriceMomentumExponentialMovingAverageSimpleMovingAverageTime-SeriesMovingAverageTriangularMovingAverageVariableMovingAverageMovingAverageConvergenceDivergenceNegativeVolumeIndexOnBalanceVolumeParabolicSARPerformancePositiv

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ByMilindParadkarTechnicalIndicatorisessentiallyamathematicalrepresentationbasedondatasetssuchasprice(high,low,open,close,etc.)orvolumeofsecuritytoforecastpricetrends.Thereareseveralkindsoftechnicalindicatorsthatareusedtoanalyseanddetectthedirectionofmovementoftheprice(formomentumtrading,meanreversiontradingetc).Tradersusethemtostudytheshort-termpricemovementsincetheydonotproveveryusefulforlong-terminvestors.Theyareemployedprimarilytopredictfuturepricelevels.Inthefollowingpost,Iwillhighlightsixtechnicalindicatorsthatarepopularlyusedinthemarketstostudythepricemovement.CommodityChannelIndexEaseofMovementMovingAverageRateofChangeBollingerBandsForceIndexTechnicalIndicatorsdonotfollowageneralpattern,meaning,theybehavedifferentlywitheverysecurity.Whatcanbeagoodindicatorforaparticularsecurity,mightnotholdthecasefortheother.Thus,usingatechnicalindicatorrequiresjurisprudencecoupledwithgoodexperience.Astheseanalysescanbedoneinpython,asnippetofcodeisalsoinsertedalongwiththedescriptionoftheindicators.Samplechartswithexamplesarealsoappendedforclarity.CommodityChannelIndexThecommoditychannelindex(CCI)isanoscillatorthatwasoriginallyintroducedbyDonaldLambertin1980.CCIcanbeusedtoidentifycyclicalturnsacrossassetclasses,beitcommodities,indices,stocks,orETFs.TradersalsouseCCItoidentifyoverbought/oversoldlevelsforsecurities.EstimationTheCCIlooksattherelationshipbetweenpriceandamovingaverage.StepsinvolvedintheestimationofCCIinclude:Computethetypicalpriceforsecurity.Thetypicalpriceisobtainedbyaveragingthehigh,lowandclosepricefortheday.Calculatethesimplemovingaverageofthetypicalpricesforthechosennumberofdays.Computethemeandeviationoftypicalpricesforthesameperiodasthatusedforthemovingaverage.TheformulaforCCIisgivenby:CCI=(Typicalprice–MAofTypicalprice)/(0.015*meandeviationofTypicalprice)0.015isLambert'sconstant.AnalysisCCIcanbeusedtodetermineoverboughtandoversoldlevels.Readingsabove+100canimplyanoverboughtconditionReadingsbelow−100canimplyanoversoldcondition.However,oneshouldbecarefulbecause

Technical indicators are exploratory variables usually derived from a stock's price and volume. They are used to explain a stock's price ...SkiptocontentHome»Learn»TechnicalAnalysis»Get40+TechnicalIndicatorsforaStockUsingPythonUsingtheTechnicalAnalysis(TA)library,wecanacquire40+technicalindicatorsforanystock.AcorrelationofallthetechnicalindicatorsusingMicrosoft’sstockdata.(PhotobyAuthor)Technicalindicatorsareexploratoryvariablesusuallyderivedfromastock’spriceandvolume.Theyareusedtoexplainastock’spricemovementsinhopesofpredictingfutureswings.Inotherwords,theyareusedtodeterminewhetherastockis“overbought”or“oversold”.Thoughtheseindicatorsarewidelyexploitedbybothindependentinvestorsandhedgefundsalike,manypeopledonothavequickwayofobtainingthem.Theyhavetoresorttocalculatingeachindicatoroneatatime.Thisprocesstakesagreatdealoftimeandcomputationalpower.Believeme.I’vespentmyfairshareoftimecodingthisprocessusingpythoninthepast(seeproofinthearticlesbelow):CalculateandAnalyzeRSIUsingPythonHowtoCalculatetheMACDUsingPythonCalculateOn-BalanceVolume(OBV)UsingPythonCalculatingtechnicalindicatorstakestimeawayfromthemodelingprocessandcanthereforebeadeterrenttobuildingmorecomplexstatisticalmodels.WiththeTA(technicalanalysis)librarythough,wecansubstantiateanystock’shistoricalpricedatawithmorethan40differenttechnicalindicatorsusingjustonelineofcode.Thisishuge.SinceI’veneverseenanyoneusingit,Idecidedtowritethisquickguideinhopesofencouragingmorepeopletotakeadvantageofit.Outlineofthisguide:Theimportanceoftechnicalindicatorsandutilizingmomentumstrategiesinyourstockanalysisprocess.Importingthenecessarypythonlibraries.Obtainingastock’shistoricaldata.Substantiatingthehistoricaldatawith40+technicalindicators.WhyisThisImportanttoYou?Computersarerevolutionizingthewaypeopleinvest.Nowthat80%ofeverydaytradesaredonebymachines,easilyaccessibledataisbecomingvastlymoreimportant.Independentinvestorsandhedgefundsalikearelookingfornewwaysinwhichtheycanleveragethespeedofcomputerswiththeirincreasinglylargetrov

This post discusses how to do technical analysis with Python. We will cover three Python libraries for getting stock indicators.Skiptocontent02Feb2021byAndrewTreadwayInthispost,wewillintroducehowtodotechnicalanalysiswithPython.Pythonhasseverallibrariesforperformingtechnicalanalysisofinvestments.We’regoingtocomparethreelibraries–ta,pandas_ta,andbta-lib.ThetalibraryfortechnicalanalysisOneofthenicestfeaturesofthetapackageisthatitallowsyoutoadddozenoftechnicalindicatorsallatonce.Togetstarted,installthetalibraryusingpip:pipinstalltaNext,let’simportthepackagesweneed.We’llbeusingyahoo_fintopullinstockpricedata.Now,datacontainsthehistoricalpricesforAAPL.#loadpackagesimportyahoo_fin.stock_infoassiimportpandasaspdfromtaimportadd_all_ta_features#pulldatafromYahooFinancedata=si.get_data("aapl")Next,let’susetatoaddinacollectionoftechnicalfeatures.Below,wejustneedtospecifywhatfieldscorrespondtotheopen,high,low,close,andvolume.Thissinglecallautomaticallyaddsinover80technicalindicators,includingRSI,stochastics,movingaverages,MACD,ADX,andmore.#addtechnicalanalysisfeaturesdata=add_all_ta_features(data,open="open",high="high",low="low",close="adjclose",volume="volume")Forexample,here’stheRSIvalues(usingthestandard14-daycalculation):taalsohasseveralmodulesthatcancalculateindividualindicatorsratherthanpullingthemallinatonce.Thesemodulesallowyoutogetmorenuancedvariationsoftheindicators.Forexample,ifyouwanttocalculatethe21-dayRSI,ratherthanthedefault14-daycalculation,youcanusethemomentummodule.fromta.momentumimportRSIIndicatorrsi_21=RSIIndicator(close=data.adjclose,window=21)data["rsi_21"]=rsi_21.rsi()Similarly,wecouldusethetrendmoduletocalculateMACD.fromta.trendimportmacddata["macd"]=macd(data.adjclose,window_slow=26,window_fast=12)Tolearnmoreabouttacheckoutitsdocumentationhere.Thepandas_talibraryAnalternativetotaisthepandas_talibrary.Let’sgetstartedwithpandas_tabyinstallingitwithpip:pipinstallpandas_taWhenyouimportpandas_ta,itletsyouaddnewindicatorsinaniceobject-orientedfashion.pandas_t

Many commonly used indicators are included, such as: Candle Pattern(​cdl_pattern), Simple Moving Average (sma) Moving Average Convergence Divergence ( ...Skiptocontent{{message}}twopirllc/pandas-taNotificationsStar1.3kFork312TechnicalAnalysisIndicators-PandasTAisaneasytousePython3PandasExtensionwith130+Indicatorstwopirllc.github.io/pandas-ta/MITLicense1.3kstars312forksStarNotificationsCodeIssues26Pullrequests2ActionsProjects1WikiSecurityInsightsMoreCodeIssuesPullrequestsActionsProjectsWikiSecurityInsightsmainBranchesTagsCouldnotloadbranchesNothingtoshow{{refName}}defaultCouldnotloadtagsNothingtoshow{{refName}}default2branches2tagsCodeCloneHTTPSGitHubCLIUseGitorcheckoutwithSVNusingthewebURL.WorkfastwithourofficialCLI.Learnmore.OpenwithGitHubDesktopDownloadZIPLaunchingGitHubDesktopIfnothinghappens,downloadGitHubDesktopandtryagain.GobackLaunchingGitHubDesktopIfnothinghappens,downloadGitHubDesktopandtryagain.GobackLaunchingXcodeIfnothinghappens,downloadXcodeandtryagain.GobackLaunchingVisualStudioCodeYourcodespacewillopenonceready.Therewasaproblempreparingyourcodespace,pleasetryagain.LatestcommittwopirllcBUG#302bbandslowerupperswapfix…b2f2cc8May31,2021BUG#302bbandslowerupperswapfixb2f2cc8Gitstats493commitsFilesPermalinkFailedtoloadlatestcommitinformation.TypeNameLatestcommitmessageCommittime.github/ISSUE_TEMPLATEUpdateissuetemplatesAug14,2020dataENHstrategymethodparamsandcol_numberskwargsMAINTtest_stratre…Sep14,2020docsformattingfixes,PEP8etcOct1,2020examplesDOCBUG#297examplenotebookupdatesMay26,2021imagesENHlogoMAINTgitignore+updateexamplenotebooksJan24,2021pandas_taMergebranch'pr/302'intodevelopmentMay30,2021testsENHtsignalsdrift,amatandzscorecolumnnamesandstrategykwargs…May30,2021.gitignoreRELrequirements.txtaddedDOCvectorbtexamplenotebookMay10,2021CODE_OF_CONDUCT.mdCreateCODE_OF_CONDUCT.mdJul25,2020LICENSEENHreverseanddatetime_orderedpropertiesMay12,2020MakefileENHBUG#38vwapanchorargumentfixJan19,2021README.mdBUG#302bbandslowerupperswapfixMay30,2021__init__.pyAdd2TI:

SearchTradingGuidesTheMonsterGuidetoCandlestickPatternsThePriceActionTradingStrategyGuideTheBestTradingBooksofAllTimeThe5BestTrendIndicatorsThatWorkThe5TypesofForexTradingStrategiesThatWorkTheSupportandResistanceTradingStrategyGuideTheMovingAverageIndicatorStrategyGuideTheCompleteGuidetoFindingHighProbabilityTradingSetupsHowMuchMoneyCanYouMakefromTrading?SwingTradingStrategiesThatWorkAboutRaynerTeoRaynerTeoisanindependenttrader,ex-proptrader,andfounderofTradingwithRayner.HeisthemostfollowedtraderinSingaporewithmorethan100,000tradersreadinghisblogeverymonth...ContinuereadingDoesTechnicalAnalysisWork?(It’snotwhatyouthink) LastUpdated:October28,2020ByRaynerI’msureyou’vewondered…“DoesTechnicalAnalysiswork?”“Istradingassimpleasdrawingafewlinesonthechart?”“IsTechnicalAnalysisallIneedtobecomeaprofitabletrader?”Now:YoumightsayYesbecauseeverythingyouneedtoknowisonapricechartYoumightsayNobecauseyouneedtocombinefundamentals,news,etc.So,who’srightandwho’swrong?Well,that’swhatyou’llfindoutintoday’spost(andit’snotwhatyouthink).Orifyouprefer,youcanwatchthistrainingvideobelow…WhatisTechnicalAnalysisandhowdoesitwork?TechnicalAnalysisreferstousingpastprices(orvolume)tomakeyourtradingdecisions.Thiscanbetoolslikecandlestickpatterns,chartpatterns,technicalindicators,trends,etc.Andthisbringsmetoanimportantquestion…DoesTechnicalAnalysiswork?First,howdoyoudefinewhetherTechnicalAnalysisworks,ornot?Here’show…I’llbacktestatradingstrategyusingTechnicalAnalysisBenchmarktheresultsagainstabuyandholdapproachontheS&P500Now…Ifthetradingstrategycanbeatabuyandholdapproach,thenwecanconcludethatTechnicalAnalysiswork(butmoreonthatlater).Sowhat’sthebenchmarktobeat?Ifyoulookbackhistorically,abuyandholdapproachontheS&P500hasareturnofabout10%ayearwithamaximumdrawdownof56%.Movingon…Howdoyoudevelopatradingstrategythatbeatsthemarket?Here’show:ReadresearchpapersandfindoutwhatworksinthefinancialmarketsExtractthetradingstrategyDevelopyourtradingstrategyVerifyyourtradingstrategyLetmeexplain…1.Readresearchpapersandf

SigninAllDataScienceFinanceTechnologyAutomatingStockInvestingTechnicalAnalysisWithPythonUsingPythonToFindWhenToBuyAndSellStocksFarhadMalikFollowFeb7·13minreadWecangeneratepassiveincomebyinvestinginstockmarkets.However,itisimportanttobuyastockattherighttime.Therighttimeisusuallywhenthepriceofastockislowandsellthestockwhenitspriceishigh.Thisarticlewillexplainhowtechnicalindicatorscanhelpustimethebuyingorsellingofastockbetter.Havingsaidthat,it’simportanttonotethatnoonecanabsolutelytimethemarket.Thisisbecausethemarketisdynamicinnaturethatisdependentonaninfinitenumberoffactors.Thereforethetechnicalindicatorsaremerelycalculatedsignalswithadegreeofriskandshouldnotbetakenassignalswithabsolutecertainty.Thisarticlewillexplaintheconceptoftechnicalanalysiswhichcanhelpusfindwhentoinvestinourchosencompanies.ArticleAimThisarticlewilldemonstratehowwecanperformatechnicalanalysisofstockpricesusingPythoncode.WeusuallyneedtheOpen,High,Low,Close,andVolume(OHLCV)stockdatabutIwillpresentthreeindicatorsthatcanbecomputedfromtheCloseprices.IwillusetheYahoofinancelibrarytogathertherequiredclosepricesofacompany.Iwillfirstexplainwhattechnicalindicatorsare.2.ThenIwillpresentahandfuloftechnicalindicatorsandhowtheycanbeused.3.FinallyIwillshowhowthetechnicalindicatorscanbecomputedusingthePythonprogramminglanguage.Iwillalsodemonstratehowwecanplotthem.Iwillaimtokeepthearticlesimpleandwillonlyoutlinethethreecommontechnicalindicators.Disclaimer:Thisarticleisforlearningpurposesonlyanditshouldneverbetakenasinvestmentadvice.Ihighlyrecommendseekinganindependentprofessionalfinancialadviserbeforecarryingoutanyinvestments.Theauthor(s)donottakeanyresponsibilityforanyloss.Thereforepleaseusethisarticleforeducationalpurposesonly.Itisbasedonaviewofthemarketenvironment,keepinginmindthatthemarketiscontinuouslychanging.Thearticlewillbeupdatedatanytimewithoutanynoticeasmoreinformationisgathered.Ifyouspotanissuewiththearticlethenpleasedoletmeknow.Let’sStartIfyouarenewtotheworldoftradingandthestockmarketthenIhighlyrecom

Finally I will show how the technical indicators can be computed using the Python programming language. I will also demonstrate how we can ...SigninAllDataScienceFinanceTechnologyAutomatingStockInvestingTechnicalAnalysisWithPythonUsingPythonToFindWhenToBuyAndSellStocksFarhadMalikFollowFeb7·13minreadWecangeneratepassiveincomebyinvestinginstockmarkets.However,itisimportanttobuyastockattherighttime.Therighttimeisusuallywhenthepriceofastockislowandsellthestockwhenitspriceishigh.Thisarticlewillexplainhowtechnicalindicatorscanhelpustimethebuyingorsellingofastockbetter.Havingsaidthat,it’simportanttonotethatnoonecanabsolutelytimethemarket.Thisisbecausethemarketisdynamicinnaturethatisdependentonaninfinitenumberoffactors.Thereforethetechnicalindicatorsaremerelycalculatedsignalswithadegreeofriskandshouldnotbetakenassignalswithabsolutecertainty.Thisarticlewillexplaintheconceptoftechnicalanalysiswhichcanhelpusfindwhentoinvestinourchosencompanies.ArticleAimThisarticlewilldemonstratehowwecanperformatechnicalanalysisofstockpricesusingPythoncode.WeusuallyneedtheOpen,High,Low,Close,andVolume(OHLCV)stockdatabutIwillpresentthreeindicatorsthatcanbecomputedfromtheCloseprices.IwillusetheYahoofinancelibrarytogathertherequiredclosepricesofacompany.Iwillfirstexplainwhattechnicalindicatorsare.2.ThenIwillpresentahandfuloftechnicalindicatorsandhowtheycanbeused.3.FinallyIwillshowhowthetechnicalindicatorscanbecomputedusingthePythonprogramminglanguage.Iwillalsodemonstratehowwecanplotthem.Iwillaimtokeepthearticlesimpleandwillonlyoutlinethethreecommontechnicalindicators.Disclaimer:Thisarticleisforlearningpurposesonlyanditshouldneverbetakenasinvestmentadvice.Ihighlyrecommendseekinganindependentprofessionalfinancialadviserbeforecarryingoutanyinvestments.Theauthor(s)donottakeanyresponsibilityforanyloss.Thereforepleaseusethisarticleforeducationalpurposesonly.Itisbasedonaviewofthemarketenvironment,keepinginmindthatthemarketiscontinuouslychanging.Thearticlewillbeupdatedatanytimewithoutanynoticeasmoreinfor

... a comprehensive set of Technical Indicators in Python for quantitative trading ... Until the widespread of algorithmic trading, technical indicators were primarily ...GetstartedOpeninappSigninGetstartedFollow550KFollowers·Editors'PicksFeaturesDeepDivesGrowContributeAboutGetstartedOpeninappBuildingacomprehensivesetofTechnicalIndicatorsinPythonforquantitativetradingCustomizable,comprehensiveindicatorsforMachine-learningandstatisticalalgorithmsModishubhamOct21,2020·6minreadNotefromTowardsDataScience’seditors:Whileweallowindependentauthorstopublisharticlesinaccordancewithourrulesandguidelines,wedonotendorseeachauthor’scontribution.Youshouldnotrelyonanauthor’sworkswithoutseekingprofessionaladvice.SeeourReaderTermsfordetails.OverviewPredictingassetpricemovementshasbeenawidelyresearchedareaaimedatdevelopingalpha-generatingtradingstrategiesthatcapturetheseassetpricemovements“accurately”.Isayaccuratelywithapinchofsaltgiventhestochasticnatureofmostassetpriceswhich,bydefinition,israndominnature.Theideathusfocusesonperformingsomesortofanalysistocapture,withsomedegreeofconfidence,themovementofthisstochasticelement.Amongthemultitudeofmethodsusedtopredictthismovement,technicalindicatorshavebeenaroundforquitesometime(reportedlyusedsincethe1800s)asoneofthemethodsusedinforminganopinionofapotentialmove.Untilthewidespreadofalgorithmictrading,technicalindicatorswereprimarilyusedbytraderswhowouldlookupattheseindicatorsontheirtradingscreentomakeabuy/selldecision.Eventhoughthisisstillveryprevalent,technicalanalysishasmadeitswayintoautomatedtradinggiventheabilityofMachine-Learningandotherstatisticaltoolstoanalyzethisdatainafractionoftimeandthecomputationalabilityofcomputerstoback-testwithmultipledecadesofdata.EventhoughthisarticledoesnotarguefororagainstuseofTechnicalanalysis,thetechnicalindicatorsbelowcanbeusedtoperformvariousback-testsandcomeupwithanopinionontheirpredictionpower.TechnicalIndicatorsThisarticlewillfocusonacomprehensivelistoftechnicalindicatorsthatarewidelyusedbyprofessi

How to Build Stock Technical Indicators with Python · Trend indicators — Simple Moving Average(SMA), Exponential Moving Average (EMA) and ...SigninArchiveWriteforusHowtoBuildStockTechnicalIndicatorswithPythonBeeGuanTeoFollowApr19·9minreadPhotobyAdamNowakowskionUnsplashStocktechnicalindicatorsareindispensableinstockanalysis.Theyarecalculatedbyadifferentmathematicalformulabasedonthehistoricalstockprices.Inalgorithmictrading,technicalindicatorsarealsoessentialtoformatradingsignalthatcantriggertheopeningandclosingofatradebyatradingrobot.Inthisarticle,IamgoingtoshowhowwecanuseaPythonlibrary,TA-Lib,tobuildsomepopulartechnicalindicatorswithfewlinesofcodes.Therewillbethreemaingroupsoftechnicalindicatorspresentedhere:Trendindicators—SimpleMovingAverage(SMA),ExponentialMovingAverage(EMA)andAverageDirectionalMovementIndex(ADX)Momentumindicators—MovingAverageConvergenceDivergence(MACD)andRelativeStrengthIndex(RSI)Volatilityindicators—BollingerBandsPrerequisitePythonLibrariesMatplotlib—https://matplotlib.org/yFinance—https://pypi.org/project/yfinance/TA-Lib—https://github.com/mrjbq7/ta-libNote:WhileyoumayfollowthestepsgivenonthegivenlinkabovetosetuptheTA-Lib,IfinditmucheasiertodirectlydownloadanunofficialTA-Libwhlfilefromhttps://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-libandinstallitintoyourmachineusingthepipcommand.GithubTheoriginalfullsourcecodespresentedinthisarticleareavailableonmyGithubRepo.Feelfreetodownloaditifyouwishtouseittofollowmyarticle.AcquisitionofstockdataWearegoingtouseyFinancelibrarytodownloadhistoricalstockpricesfromYahooFinancetoourmachine.Line1–3:Importalltherequiredlibraries.Line5:UseyFinancedownloadcommandtofetchthehistoricalstockpriceofApplestartedfrom1April2020to15April2021.Thehistoricalstockpriceswillbereturnedasadataframeobjectthatentails“Open”,“High”,“Low”,“Close”,“AdjClose”pricesand“Volume”dailydata.ImagePreparedbytheAuthorLine6–8:Plotalinecharttoobservethetimeseriesstockprices.ImagePreparedbytheAuthorBuildingTrendingIndicatorsTrendindicatorsarebasical