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