Overview

"This is about a Robot that can control Robots!"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: Set up Automated Risk Management SoftwareThe fourth part of this series will enable automatic risk management of multiple Algorithmic Trading Systems. Algorithm will be capable to identify best and worse Trading Systems. This will allow to automate decision to start or stop Trading Robots. Course is featuring several methods of achieving this goal, provides functions allowing to apply or adapt this method for any situation including outside of trading.We will learn these Data and Computer Science concepts:Use R program to perform data analysis and generating output resultImport data from filesClean and select dataWriting and using functions in R'for' loopsData manipulation using 'pipe' operator and 'dplyr' package in RWrite data to filesCalculate Profit Factor in RUsing Reinforcement Learning in RReinforcement Learning ExampleCreating Adaptive Reinforcement Learning systemAutomating and Scheduling any R code"What is that ONE thing very special about this course?"- Application of Reinforcement Learning algorithm that is learning from very first observation!This project is containing several courses focused to help you 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 systemDedicated R package 'lazytrade' is now published on CRAN to facilitate code sharing and improve code documentationIMPORTANT: all courses are very practical focusing to one specific topic with only essential theoretical explanations. These courses will help to focus on developing strategies by automating boring but important processes for a trader.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 R programs and scheduling themGet expandable examples of MQL4 and R codeWhat these courses are not:'Holy grail' or Automatic Trading Black BoxThese 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 performance results are not guarantee for the future.

Skills

Reviews