| Course for : | All |
|---|---|
| Course Deuration : | 6 hours on-demand video |
| In Course Have : | Video, Articles |
| Course Fee : | $9.99 |
What you'll learn
Description
Learn Computer and Data Science through Algorithmic Trading, set up your Trading Environment
Requirements
- It would help if you had in Trading and its pitfalls
- You would like to know more about Data Science using Trading
- PC Windows (min 4CPU 8Gb RAM) with Administrative Rights. The machine must be turned on continuously for a few weeks.
- Basic programming skills or a desire to learn them
- R Statistical Software
- Take some time to attend lectures and replicate the code and experiments on your computer.
Description
“Luck is a preparation to Opportunity” –Seneca – Seneca
About the Lazy Trading Courses:
This course series is designed to provide an exciting experience with Algorithmic Trading and simultaneously master computer and Data Science! The focus is on creating an effective Decision Support System that can assist in automating a variety of tedious processes associated with Trading and learning Data Science. A variety of algorithms will be developed using the basic data cycle, namely data input-data manipulation – analysis-output’. Examples throughout all seven lessons will help you create a system that can evolve automatically without manual input.
The Course Description: Set-up the Trading Environment
This course will focus on setting the personal Home Trading Environment. After this course, we will have an online Trading Environment installed and active on the Home Computer. This trading environment will serve as the foundation of a modular system completed over the entire series of classes. The following subjects:
- Selecting an appropriate device (Windows PC)
- Install and prepare the necessary software such as Meta Trader 4 Platform
- Set up Version Control Tools for trading strategies and tools
- Outline the Bigger strategy that is designed to automate the decisions of the Trader
- Set up Development, Test and Production Trading Terminals
- Create a Decision Support System using R statistical software and the package ‘lazy trade.’
- Making the Trading Environment more resilient to external forces
- Additional chapters that provide step guidelines on version control Computer’s Environment Variables
“What is that ONE thing very special about this course? “
• Setting the computer up to be ready 24/7!
This project contains a variety of classes designed to assist you in managing all aspects of Automated Trading Systems:
- Create Your Home Trading Environment
- Configure Your Trading Strategy Robot
- Automate your Trading Journal
- Statistical Automated Trading Control
- Reading News and Sentiment Analysis
- Utilizing Artificial Intelligence to detect the market state
- The development of the foundations of an AI trading system
Important: all courses will include ‘quick-to-install sections containing theoretic explanations.
What can you expect to learn from Trading?
After completing these classes, you will be able to learn more than trading the examples provided:
- Learn and practice using the Decision Support System
- Make sure you are organized and organized by using Version Control and Automated Statistical Analysis
- Learn with R to manipulate, read and perform Machine Learning including Deep Learning
- Study and practice Visualization of Data Visualization
- Learn about sentiment analysis, web scraping
- Get Shiny and deploy any project involving data within hours
- Learn productivity tips
- Automate your tasks, and schedule them
- Find examples that are more extensive of MQL4 and R code.
What are these courses not:
- The courses won’t provide instruction and explanation of particular programming principles in detail
- These classes are not designed to teach the fundamentals in Data Science or Trading
- There is no assurance of bug-free programming.
Disclaimer:
Trading involves risk. This course should not be considered financial advice or service. Past performance is not warranted shortly. Significant time investment may be required to recreate ideas and methods that have been proposed.
Who is this course intended for:
- Anyone who wants to increase their productivity
- Anyone who wants to master Data Science and Trading
- Are you interested in trying Algorithmic Trading
