Finance & Accounting Online Course by Udemy, On Sale Here
Learn to stop your Algorithmic Trading System when specific Macroeconomic Events are expected
An excellent training about Financial Modeling & Analysis
Lazy Trading Part 5: Read Forex news and Sentiment Analysis
About this Course: Read news and Sentiment AnalysisThe fifthpart of this series will give you the ability to automatically read Forex Calendar for any specific event like US Non-Farm Payroll or when President Trump is going to have a speech. This will provide an ability to consider these events in your trading strategies in a simplest form of disabling the trading robots. Additional research of this course will be about correlation of Asset’s Text data Sentiment to the Asset’s price in the future. This research will be conducted on two trading ideas*:Sentiment difference of News Headers in the US, Canada, GB and it’s their currency Pairs. Sentiment of Twitter data relevant to Tesla Stock pricesAs usual provided methods and ideas will help us to practice computer and data science skills: Webscrap news and analyse their sentiment for tradingSetting up Version Control in our ProjectsKnow how to automate our R codeText Sentiment analysis using basic Sentiment Analysis Polarity Scoring and NRC Sentiment Dictionary (8 emotions)Performing descriptive analysis of the Sentiment Polarity Scoring of the News HeadersGetting Twitter data into RDeep regression learning to correlate Sentiment scores to the objective variable [performed in h2o deep learning environment]*There isabsolutelyno guaranteethatproposed methods will work! About 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 systemUpdate: dedicated R package ‘lazytrade’ was created to facilitate code sharing among different coursesIMPORTANT: All courses will be short focusing to one specific topic with very shorttheoretical explanations. These courses will helpto focus on developingstrategies by automatingboring but important processes for a trader. Best possible way to take the courses as a series is to reproduce all methods by re-creating automated trading system on PC WindowsWhat 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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