Lazy Trading Part 2: Setting up and deploying Trading System

Description

About this Course: Setting up and deploying Trading System

The second part of this series will cover setting up our Expert Advisor or Trading Robot. At the end of this course we will have complete and ready to be used Algorithmic Trading System integrated with our Decision Support System:

• Programming environment

• Setting up Version Control Project

• Overview of robot functions

• How to customize to target market inefficiency

• Integrate robot with Decision Support System (start/stop trading system from external commands)

• Customize and record trades results

• Rolling Optimization, automatic robot backtest

The same robot template will be used in other courses of the Lazy Trading Series

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 is containing several short courses focused to help you managing your Automated Trading Systems:

1. Set up your Home Trading Environment

2. Setting up and deploying Trading Systems

3. Set up your automated Trading Journal

4. Statistical Automated Trading Control

5. Reading News and Sentiment Analysis

6. Using Artificial Intelligence to detect market status

7. Building an AI trading system

Update: dedicated R package 'lazytrade' was created to facilitate code sharing among different courses

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 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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