Learn Computer and Data Science with Algorithmic Trading

intro:
I have always been fascinated by how fast computers can do calculations and since I found algorithmic trading I immediately loved it. However I was totally lost with many different advises around the topic:

1. Money management
2. Making more trades to be confident that system works
3. Trading strategy
4. Trading Journal
5. Be aware about statistical performance of trades
6. Market Type
7. Back-testing science
8. Be aware about macroeconomic events
9. Be social
10. etc ...

Everything must be considered so it would become total burden for anyone attempting to climb this rock! ... but I am a lazy person to be consistent in these details

At the same time [professionally] I have discovered the power of R Statistical Software. So I started to study both things at the same time! I decided to make my way in algorithmic trading! I wanted to create completely automated system that would consider all above aspects by itself allowing trader just to supervise and check the progress. I saw that R [and Python too] are just the great tools to help me with my idea. Finally I have spend about a year to gradually create few building blocks using combination of MT4 and R...
as a result:
I found out two things:

1. I was quickly avoiding burden of manual operations within algorithmic trading
2. I was creating amazing content that helped me to learn and practice R skills which I was efficiently using later to grow professionally

finally:
I decided to make all my studies public for every one to reproduce!
and now:
I have published several e-learning courses as a step by -step guide to re-create my system and learn computer and data science:

1. Set up your Home Trading Environment - Learn Computer and Data Science through Algorithmic Trading, set up your Trading Environment
2. Set up your Trading Strategy Robot - Learn how Trading Robot Template is working and how to modify it to work with Decision Support System
3. Set up your automated Trading Journal - Build your own Interactive Trading Journal in R Shiny App
4. Statistical Trading Analysis and Control - Learn to set up Automated Statistical Analysis and Control of your Trading Systems. Learn Reinforcement Learning!
5. Forex News and Sentiment Analysis - Learn to stop your Algorithmic Trading System when specific Macroeconomic Events are expected
6. Detect Market status with AI - Learn to use Supervised Deep Learning modelling to detect patterns of Financial Assets
7. Developing Self Learning Trading Robot - Learn to assemble Smart Learning Algorithms. Predict future price change based on financial data patterns

Color Legend: Related to Algorithmic Trading | Related to Data and Computer Science

what is the message: I believe that the core component of such comprehensive system should be Decision Support System. Expandable system composed of the building blocks.

I hope to discuss these ideas here and hopefully help others to learn computer and data science to boost your carrier and have fun [hopefully also have > ] in trading

Note: Please use this thread to discuss ideas of:

1. learning computer and data science with algo - trading;
2. using Decision Support System in Algo-trading;
3. similar examples already built by others

Recommendation is not to go in deep discussion for each individual topic as to avoid 'information overload. If not exist yet, I would rather create a separate thread

Warning: The methods I am sharing are quite time consuming to reproduce. I have recently reproduced them on separate machine spending about 15 hours [3 hours on troubleshooting with Windows 10]

What do you think of EA compilers?

There is a 'visual' one being rented for a monthly fee on MQL5 and there are others sold online that claim you never have to buy an EA again or you can fire your programmer if you buy this. As they are compilers, they all claim that you don't have to know any programming at all. How true do you think that is?

I know that programming can be a really intricate process and there are some really sophisticated strategies that stump even highly experienced programmers let alone a compiler but I'm talking difficulty of up to 8 out of 10. Can a compiler handle at least 80% of what an experienced programmer can create?

If not, why are there such claims that compilers are good enough to replace the need to learn coding and why isn't there a huge outrage against such claims?

Since all of your "e-learning courses" are $199.99 / $10 each may you please post your scam in the commercial section?
(Seriously 10 bucks to show how to implement a simple K-mean with R!!)

Either you share OR you sell!

Wow I did not expect someone to investigate and find these courses without me bringing links!

Absolutely, I can post it there, however idea of this post was about to discuss:

Note: Please use this thread to discuss ideas of:

1. learning computer and data science with algo - trading;
2. using Decision Support System in Algo-trading;
3. similar examples already built by others

besides, code is public and totally reproducible... and I am ready to give away free coupons for those who are interested to reproduce and provide feedback!

Actually I did not tried any EA compiler I can just understand what they are. I was lucky enough to find a good EA template that I could easily modify to suit specific needs. This EA template still requires knowledge of programming but my strategy was to mostly use it for:

1. market data collection
2. order execution and control
3. handling communication with externally generated signals

Everything else like market type analysis, statistical trades control, predicting future price change I am doing using R. I call that Decision Support System. It is also programming, less efficient in terms of speed but much more user-friendly. Besides it is allowing to use quite sophisticated algorithms like deep learning. I am using h2o library for that... one can also split specific functionality into modules to keep code compact and more understandable.

On top of all I am using version control not to get mad of all the code that one can generate...

By the way in my circumstances [too lazy to watch and constantly optimize robots] I rather prefer do trading a bit un-usual way. Basically I am using models to generate decision to entry. Here is a blog post on my view about algo trading: https://vladdsm.github.io/myblog_att...o-trading.html

Hopefully these ideas re still useful although not addressing the question about EA compilers...

Hi Vlad,

You seem to have found something difficult to use to get around MT4 difficulties. I'm nowhere near that level hence my interest in compilers.

I have found limitations with templates that are frustrating and sooner or later I end up needing to change the implemented strategy of the template and that usually requires a whole lot of rework of the EA especially that changing one thing in the EA can change the whole EA or even make it function altogether.

Also, trading in an unusual way is good. Someone early on in my life gave me this advice: If you want to be successful in life, do what others aren't doing. (or something to that effect). Basically you are thinking outside the box.

Anyways, thanks for the reply.