dMLTquant / dMLTresearch

Beginner friendly guide into the world of investing, quant data analysis and algorithmic trading.

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••• dMLTresearch •••
• AWESOME INVESTING •

• investing services and tools • financial data • quantitative analysis • algorithmic trading •
• data science • python • pine script • programing tools • languages and frameworks •

AWESOME GitHub All Releases GitHub last commit GitHub repo size


• FINANCE •

essentials

BloombergTradingEconomics CalendarMacroTrendsMarketMilkTradingViewDocoHTradingster COT ReportsInvestopediaQuantocracy


alternatives

cryptocurrenciesdefiprimecosmos network


data warehouses

macroeconomicsTradingEconomicsIHS Markit

macroeconomicscentral banksUS Federal Reserve (FED)US Securities and Exchange Commision (SEC) [[ US SEC EDGAR Search ]] • European Central Bank (ECB) [[ ECB Statistical Data Warehouse (SDW) ECB SDW Search ]] • Bank of England (BoE)Bank of Japan (BoJ)

macroeconomicsworld banksWorld Bank [[ World Bank Datacatalog ]] • Bank for International Settlements (BIS)International Monetary Fund (IMF)

statisticseuropeEuroStatEuropean National Statistical Institutes

statisticsukUK Statistical SystemUK GOV Open DataLondon DataStore

statisticsusUS Bureau of Economic Analysis

trading dataNasdaq [[ featuresData Link (Quandl)Trading Halts ]] • NYSE [[ featuresTrading Halts ]] • ICECME Group [[ CME Group Block Trades ]] • MacroTrendsYahoo FinanceGoogle FinanceTradingster COT Reports

trading datadashboardsBloomberg ProfessionalMoney NetTiingoKoyFinDarQube

trading dataresearchDocoHMorningstar ProfessionalSimplyWall.stWallmineFinVizStockRoverAtom FinanceTipRanksYewmo EdgeSentieoTIKR TerminalEZ Stock ScreenerInsider FinanceQuiver QuantBusinessQuant


insights

calendarTradingEconomicsBabyPipsForex FactoryMetaTrader Calendar

communitiesseekingalphastocktwits

educationInvestopediaQuantocracy

indicesBloomberg Currency IndicesICE U.S. Dollar Index (USDX)

forexMarketMilkBabyPips

intelligenceWorld Economic ForumCME Group Insights

newsBloombergWall Street JournalBarronsFinancial TimesReutersMarketWatchTiingoBenzingaIMF Finance and DevelopmentTechCrunch

sentimentCME Group Market Sentiment MeterIG Client SentimentIG Client Sentiment Report


tools and services

brokersAlpacaOandAWealthSimpleNutmegInteractive BrokersTrading212FreeTradeInteractive Investor

brokersProprietary Trading FirmsFTMODarwinex

chartsTrendSpiderAutoChartistyCharts

chartsTradingViewTradingView [[ docsPineScript V4featuresSparkFormula ChartsHeatmapseducationKodifyTradingCodestatusStatus ]] •

chartsMetaTraderMetaTrader 5 [[ docs MetaQuotes (MQL5) ]] •

open sourceagoraghostfolio

portfolioanalysisPortfolio Performance

portfoliorisk managementZiggmaRisk-O

portfoliotrading journalsEdgeWonkTradesVizTraderVue


• QUANT •

essentials

GitHubDataCampKaggleTradologics


algorithmic trading

backtestQuantRocketBlueshiftTradingViewTradewell

backtestBacktraderBacktraderData Feeds

backtestQuantConnectQuantConnect [[ featuresLEAN Trading EngineLEAN CLI ]] •

backtestTradingView PineScriptPineScript Libraries

educationTradingView PineScriptPineCodersPineScript V4 Docs

strategy automationTradologicsBots.ioBreakingEquity


python

environmentRepl.itPythonAnywhereAnacondaDataLoreDeepnote

environmentIDEsPython in VS CodeSpyderDataSpell

package managersPython Package Indexpippipenvcondapoetry

packagesdata retrievalyfinancetiingotradingview-ta

packagesdata storagePyStore

packagesdata visualizationbqplot

resourcesPython Org

postgre sql

environmentSupabase

resourcesPostgreSQL Org

tools

environmentGitHub CodespacesCodeSandbox

environmentvs codeVisual Studio CodeGetting started

tunnelNgrox

version controlGitHubGitHub DocsAwesome READMEs


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Beginner friendly guide into the world of investing, quant data analysis and algorithmic trading.

License:MIT License


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Language:Python 100.0%