Lazy Trading Part 6: Detect Market status with AI

Course description
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. Inspired by:"it is insane to expect that one system to work for all market types" // -Van K. Tharp"Luck is what happens when preparation meets opportunity" // -Seneca (Roman philosopher)About this Course: Use Artificial Intelligence in TradingThis course will cover usage of Deep Learning Classification Model to classify Market Status of Financial Assets using Deep Learning: Learn to use R and h2o Machine Learning platform to train Supervised Deep Learning Classification ModelsEasily gather and write Financial Asset Data with Data Writer RobotManipulate data and learn to build Classification Deep Learning ModelsUse random neural network structuresFunctions with examples in R packageGenerate Market Type classification output for Trading SystemsGet Trading robot capable to consider Market Status information in your Strategies This project is containing several short courses focused to help you managing your 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 systemUpdate: dedicated R package 'lazytrade' was created to facilitate code sharing among different coursesIMPORTANT: 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 concepts




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