Get yourself trained on Lazy Trading Part with this Online Training Lazy Trading Part 3: Set up your automated Trading Journal.
Online Training Lazy Trading Part 3: Set up your automated Trading Journal
About this Course:Set up your Automated Trading JournalThe thirdpart of this series will cover setting up your Trading Journal. At the end of this course wewill have our own easy to use Automated Trading Journal containing our strategies, notes with possibility to visuallyanalyse thousands of trades in seconds:Perform visual analysis of all your trading systems in secondsLearn to use R Shiny – useful tool to deploy any data science projectSetting up Version Control ProjectCollect and record data from Financial Asset to the FileGet and adapt the codeFurther customize templatePart of our Decision Support SystemAbout the Lazy Trading Courses:This series of courses is designed totocombine fascinating experience ofAlgorithmic Tradingand at the same time tolearnComputerandData Science! Particular focus is made on building foundation ofDecision Support Systemthat can help to automate a lot of boring processes related to Trading.This project iscontaining several short 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 be short focusing to one specific topic. You will not get lost in various sections and deep theoretical explanations. These courses will help you to focus on developingstrategies by automatingboring but important processes for a trader.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.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.