Two recommended setups:

• PC Windows 7(10)

• Dedicated PC Windows in Local Network with Remote Desktop

• VPS (out of scope)

• PC Windows 10

• Dedicated PC Windows in Local Network with Remote Desktop

Practically minimum requirements to reproduce:

• 8Gb RAM

• 2 core CPU

• 28 Gb Harddisk

Lecture focuses on describing that hardware must auto-restart after power failure

Getting the intuition about Environmental Variables

Setting EV in Windows and checking result in cmd

Setting up EV using a script

... about using EV's for this series of courses

In this section we will review few simple programs that could be useful on our computer

Notepad ++ is quite a useful text editor. Developers are even claiming that it is using much less computer resources than other Text editors!

usually this is nice for:

• Quickly explore large datasets

• Inspect or copy code

• Attempt to open some unknown file…

robocopy could be used to automate copy tasks:

• move, copy, operations

• options to exclude old files and more

Setup user Administrator rights

Example of setting up Windows Remote Desktop Connection software

Very generic explanation about Java and it's use for deep learning capabilities

Video featuring installation of open - source java edition on Windows

Getting to know about Windows Defender Firewall...

useful tip explaining how to find location of the Windows Startup folder

This chapter is created mostly for students who have no prior knowledge about Version Control. This means that more experienced Students could probably skip this section.

Students are invited to follow this chapter by reproducing steps shown on the video tutorials

Version Control software is designed to track changes over time and secure programmers could organize their work efficiently.

git software was created more than 30 years ago and could be used from any computer system. For the purpose of this course we are not going to use this program via 'CLI' or 'Command Line Interface' but rather just operate this program using modern 'GUI' or 'Graphical User Interface'. For example we can use modern software like 'Git Desktop' or 'R-Studio' that will use git behind the scene

Lecture will show how to install Git Desktop for managing Repositories

Mention about other Version Control Systems that are exist

In this tutorial we will create new repository using Git Desktop

Remember that Best practice is not to explain what was changed but rather why it was changed!

Some files and folders could be present inside repository but be outside of the Version Control, typically:

• files that are not meant to be public (environmental variables, passwords)

• large files like videos

• compiled software

• files that could not be decoded as a text

There are few advantages to have github.com account to be able to publish your work on GitHub.com:

1. Backup your code

2. Use code from several devices

3. Share your work to others e.g. to increase your visibility, hiring strategy, etc

4. Automate software testing (this is more advanced features, but feel free to study this separately using search term 'Continuous Integration' or 'Github Actions'

5. Option to keep your code either Private or Public (both things are nowadays free)

This process is local computer centered:

• push - process of moving changes from local computer to the GitHub.com

• pull - process of moving changes from the GitHub.com to the local computer

a nice tip to increase ease of collaboration:

• sending a link with changes on the commit

use Git Desktop:

• define changes that needs to be discarded

• right click and discard changes...

use Git Desktop:

• got to history tab

• click on revert commit

creating branches is very easy, it can be done either on GitHub or using Git Desktop

Pull request - process of joining code from development branch into the main or master branch

Deleting branches should take place both on GitHub.com and on local computer

This lecture shows how to restore repository state at any given point in time by creating a branch from that state

Quick recap on Git terms:

• Fork - a process of copying code from someone else's repository to your own

• Clone - a process of creation of copy of code from the cloud version control repository to the local version control repository

Example of getting a code and pushing that to multiple locations

Lecture explains that GitHub Desktop allows to 'reassign' the repository to your personal GitHub account

Using History Tab to compare changes across branches

Lecture explains how to bring some changes from one branch and 'merge' them to another branch

Retail Trading becomes more complicated. Read this article to learn more about leverage restrictions, FIFO rule and restrictions for US Residents...

Lecture describes:

• How to copy and paste terminals
• Create Test, Production Research, Production Trade
• Create hierarchy within your trading systems including Magic Number convention

In the link below, you can find some Keyboard Shortcuts that may come in handy.

https://www.metatrader4.com/en/trading-platform/help/overview/fast_nav

Section dedicated to R Software for Statistical Computing and Graphics

We will use R for multiple purposes!

• Encrypting your sensitive data
• Reading writing data
• Data processing, visualizations and Machine Learning
• Generating signals for trading systems
• Deep Learning for Market Status recognition

Just in case, a quick video explaining the main data science pipeline:

1. Data Input

2. Algorithm

3. Output (Decision)

In this series we will use:

1. Rscript.exe - to automate R scripts

2. Rgui.exe - to update R

3. Rstudio.exe - to create R project and develop R programs

Create R Project in existing or new Directory

Create new R script. Perhaps too basic but just in case...

Coding live to create a function in R.

Golden rule - create a function once you need to copy / paste code 2-3 times

h2o package will be used for deep learning:

• efficient computation directly from R

• while it may be a bit lacking flexibility however it is still very functional and easy to learn

  
  

Introduction of the R package 'lazytrade'

Using R - Studio capabilities to create RSA key (private and public) and store them in to the `.ssh` folder

Showcase of procedure to follow in R to:

• Create a Vault

• Create a User

• Add a Secret

• Decrypt a Secret

Automating R scripts:

• Automatic user credentials decryption

• Using R to setup or delete tasks

Purpose of this lecture is to show how to update R installation version

explaining the simplest idea that allows us to learn data science and tackle algo-trading problem:

• information

• analysis

• decision

Lecture to explain all the elements of our strategy listed in 1 pager:

• Elements of local Computing Environment

• Code flows

• Information flows

• Keep that 'as is' or develop/research for yourself

Reviewing building blocks of 'Intelligent Decision Support System'

how many terminals?

• 4 in case of active development and testing

• 2 in case of just reproducing provided content

Describing how Decision Support System will help us to learn Data Science

Possibility to develop your personal iDSS:

• Have one Repository containing all or several 'ready-to-use' elements

• Modify existing elements

• Create custom elements

• Automatic re-start after power shutdown

• Automatic login with options

• Automatic login after network issues

• Securing Passwords

• Handling updates

How to generate password for MT4 platform

Detailed description about how to clone code needed to reliably start terminals

Video with a practical demonstration about how to create environmental variables

Students are welcome to setup their own initialization files using the account credentials and information from broker

This lecture will practically illustrate:

• how to customize AutoLaunch command script

• how to place this script to the windows Start-Up folder

• how to test that this script works

Demonstrated how to write log information at the moment of computer re-start

Demonstration how to restart PC using Windows Task Scheduler

Test to failure: power outage...

Few simple things may help to add more robustness:

• cleaning dust

• delete un-used files,

• update software

• replace passwords,

• etc

In this Course you should be able to do now:

1. Get your Hardware set up in fail safe mode

2. Have your Trading Terminals up and running

3. Get install R and Github Desktop softwares

4. Have in place fail safe software mechanisms

5. Use few new skills like version control, environmental variables, windows support softwares, etc, etc!

Your home trading station should be ready to go!

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