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Lazy Trading Part 2: Set up your Trading Strategy Robot

2.5 hours on-demand video

$ 12.99

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Brief Introduction

Learn how Trading Robot Template is working and how to modify it to work with Decision Support System

Description

About this Course: Set up your Trading Strategy Robot

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:

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

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.

Requirements

Requirements
You should have a background knowledge on Trading and it's pitfals
You want to learn Data Science using Trading
PC Windows (min 4CPU 8Gb RAM). This machine should be left ON continuously for several weeks
You will need to use MQL 4
Best with 1 st course of Lazy Trading Series

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