Lazy Trading Part 7 Developing Self Learning Trading Robot – Vladimir Zhbanko

What you’ll learnLog data from financial assets to filesLearn to use Deep Learning with H2OSetup Automated Decision Support LoopAutomate R scriptsDevelop R codeUse Version control for your R projectWriting R functionsPerform data manipulations with pipesUse H2O Machine Learning platform in RPerform Deep Learning on Time-Series dataEvaluate performance of Deep Learning modelsBacktest trading strategy in R SoftwareGet Lazy Trading Part 7 Developing Self Learning Trading Robot – Vladimir Zhbanko, Only Price $32RequirementsYou should have a background knowledge on Trading and it’s pitfalsYou want to learn Data Science using TradingPC Windows (min 4CPU 8Gb RAM). This machine should be left ON continuously for several weeks [Mac only with provided sample data]Java installation on ComputerR Statistical SoftwareR-StudioMT4 Trading Platform, Demo Trading AccountGitHub Desktop Software for Version ControlGitHub Account for Version Control”No one can promise that this will work, at least it will work by itself!”About the Lazy Trading Courses:This series of courses is designed to to combine fascinating experience of Algorithmic Trading and at the same time to learn Computer and Data Science! Particular focus is made on building Decision 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: Developing Self Learning Trading Robot with Statistical ModelingThis course will cover usage of Deep Learning Regression Model to predict future prices of financial asset. This course will blend everything that was previously explained to use:Use MQL4 DataWriter robot to gather financial asset dataUse R Statistical Software to aggregate data to be ready for modelingUse H2O Machine Learning Platform to train Deep Learning Regression ModelsUse random neural network structuresFunctions with test and examples in R packageBack-test trading strategy using Model prediction and historical data… update model if neededUse Model and New Data to generate predictionsUse Model output in MQL4 Trading RobotAdding and using Market Type info [from course 6]Experiment by adding Reinforcement Learning to select best possible Market TypeGet Lazy Trading Part 7 Developing Self Learning Trading Robot – Vladimir Zhbanko, Only Price $32″What is that ONE thing very special about this course?”— Watch AI predicting the future!This project is containing several courses focused to help managing Automated Trading Systems:Set up your Home Trading EnvironmentSet up your Trading Strategy RobotSet up your automated Trading JournalStatistical Automated Trading ControlReading News and Sentiment AnalysisUsing Artificial Intelligence to detect market statusBuilding an AI 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 these courses 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 practice Data VisualizationLearn sentiment analysis and web scrappingLearn Shiny to deploy any data project in hoursGet productivity hacksLearn to automate your tasks and 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 on bug 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 conceptsWho this course is for:Anyone who want to be more productiveAnyone who want to learn Data Science using Algorithmic TradingAnyone who want to try Algorithmic Trading but have little timeAnyone willing to learn Deep Learning and understand how to apply it to make predictionsGet Lazy Trading Part 7 Developing Self Learning Trading Robot – Vladimir Zhbanko, Only Price $32Tag: Lazy Trading Part 7 Developing Self Learning Trading Robot – Vladimir Zhbanko Review. Lazy Trading Part 7 Developing Self Learning Trading Robot – Vladimir Zhbanko download. Lazy Trading Part 7 Developing Self Learning Trading Robot – Vladimir Zhbanko discount.