Lazy Trading Part 1: Set up your Home Trading Environment [Free Course]

Learn Computer and Data Science through Algorithmic Trading
Instructed by: Vladimir Zhbanko | Subject: Business, Finance

Description

About this Course: Set up your Trading Environment This course will cover setting up your personal robust Home Trading Environment. At the end of this course you will have complete and ready to be used Trading System installed and active on your Home Computer. It will help you to: Choose your hardware Prepare and install needed software Establish Version Control for your Trading Strategies and tools Outline the Bigger Strategy of the Trader Set up Development, Test and Production Trading Environments Establish your own Decision Support System Making your system more robust to external factors 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 foundation of Decision Support System that can help to automate a lot of boring processes related to Trading. This project will contain several short courses* focused to help you managing your Automated Trading Systems: Set up your Home Trading Environment Set up your Trading Strategy Robot Set up your automated Trading Journal Statistical Automated Trading Control Reading News and Sentiment Analysis Using Artificial Intelligence to detect market status Building an AI trading system * content may change over time IMPORTANT: 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 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 System Be organized and systematic using Version Control and Automated Statistical Analysis Learn using R to read, manipulate data and perform Machine Learning including Deep Learning Learn and practice Data Visualization Learn sentiment analysis and web scrapping Learn Shiny to deploy any data project in hours Get productivity hacks Learn to automate your tasks and scheduling them Get expandable examples of MQL4 and R code What these courses are not: These courses will not teach and explain specific programming concepts in details These courses are not meant to teach you basics of Data Science or Trading There is no guarantee on bug free programming Disclaimer: 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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Course Info

• 15 Lectures
• 1 Hours
• Language: English
• Subject: Business, Finance
• Instructed by: Vladimir Zhbanko
• Platform: Udemy