Finance & Accounting Online Course by Udemy, On Sale Here
Learn Computer and Data Science through Algorithmic Trading, set up your Trading Environment
An excellent training about Investing & Trading
Lazy Trading Part 1: Set up your Home Trading Environment
“Luck is a preparation to Opportunity – SenecaAbout the Lazy Trading Courses: This series of courses is designed totocombine fascinating experience ofAlgorithmic Trading and at the same time tolearn Computer andData Science! Particular focus is made on buildingDecision Support System that can help to automate a lot of boring processes related to Trading and also learn Data Science. Several algorithms will be built by performing basic data cycle ‘data input-data manipulation – analysis -output’. Provided examples throughout all 7 courses will show how to build very comprehensive system capable to automatically evolve without much manual input. About this Course: Set up your TradingEnvironmentThis course will cover setting up personal Home Trading Environment. At the end of this course we will have a Trading Environment installed and active on the Home Computer. This trading environment will be a basis of a modular system which will be completed during the whole series of courses. We will cover the following topics: Choosing a hardware (Windows PC)Install and prepare needed software including Meta Trader 4 PlatformEstablish Version Control Tools for Trading Strategies and toolsOutline theBigger Strategy that aims to automate decisions of the TraderSet up Development, Test and Production Trading TerminalsEstablish Decision Support System using R statistical software and package ‘lazytrade’Making Trading Environment more robust to external factors”What is that ONEthing very special about this course?”- Setting up the computer to be ready 24/7!This project iscontaining several coursesfocused to help you managing your Automated Trading Systems: Set up your Home Trading EnvironmentSet up your Trading Strategy RobotSet up your automatedTrading JournalStatistical Automated Trading ControlReading News and Sentiment AnalysisUsing Artificial Intelligence to detect market statusBuilding anAI trading systemIMPORTANT: all courses will have a ‘quick to deploy’ sections as well as sections containing theoretical explanations. What will you learn apart of trading: While completing thesecourses you will learn much more rather than just trading by using provided examples: Learn and practice to use Decision Support SystemBe organized and systematic using Version Control and Automated Statistical AnalysisLearn using R to read, manipulate data and perform Machine Learning including Deep LearningLearn and practiceData VisualizationLearn sentiment analysis and web scrappingLearn Shiny to deploy any data project in hoursGet productivity hacksLearn to automate your tasksand scheduling themGet expandable examples of MQL4 and R codeWhat these courses are not: These courses will not teach and explain specific programming concepts in detailsThese courses are not meant to teach basics of Data Science or TradingThere is no guarantee onbug free programmingDisclaimer: Trading is a risk. This course must not be intended as a financial advice or service. Past results are not guaranteed for the future. Significant time investment may be required to reproduce proposed methods and concepts”
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