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Lazy Trading Part 1: Set up your Home Trading Environment

1.5 hours on-demand video

$ 9.99

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Brief Introduction

Learn Computer and Data Science through Algorithmic Trading, set up your Trading Environment

Description

"Luck is a preparation to Opportunity" -- Seneca

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 Decision Support System that can help to automate a lot of boring processes related to Trading and also learn Data Science. Several algorithms will be built by performing basic data cycle 'data input-data manipulation - analysis -output'. Provided examples throughout all 7 courses will show how to build very comprehensive system capable to automatically evolve without much manual input.

About this Course: Set up your Trading Environment

This course will cover setting up personal Home Trading Environment. At the end of this course we will have a Trading Environment installed and active on the Home Computer. This trading environment will be a basis of a modular system which will be completed during the whole series of courses. We will cover the following topics:

Choosing a hardware (Windows PC)
Install and prepare needed software including Meta Trader 4 Platform
Establish Version Control Tools for Trading Strategies and tools
Outline the Bigger Strategy that aims to automate decisions of the Trader
Set up Development, Test and Production Trading Terminals
Establish Decision Support System using R statistical software and package 'lazytrade'
Making Trading Environment more robust to external factors

"What is that ONE thing very special about this course?"

-- Setting up the computer to be ready 24/7!

This project is containing several 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

IMPORTANT: all courses will have a 'quick to deploy' sections as well as sections containing theoretical explanations.

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. Significant time investment may be required to reproduce proposed methods and concepts

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
Basic coding skills or willing to learn those
R Statistical Software
Reserve some time - to follow lectures and reproduce code and experiments on your computer

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