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**mql5** · 07-07-2022, 03:11 PM

In this series of articles, we have already made a substantial progress in studying various neural network algorithms. But all previously considered algorithms were based on supervised model learning principles. It means that we input some historical data into the model and optimized weights so that the model returned values very close to reference results.
There is another approach to Artificial Intelligence learning methods — unsupervised learning. This method enables model training only using the original data, without the need to provide reference values.
In this article, you will not see the previously used vertical structure of a neural network consisting of several neural layers. But first things first. Let's consider the possible algorithms and see how they can be used in trading.

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**mql5** · 07-08-2022, 03:20 PM

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Continuing with this series on the MQL5 wizard, we will delve into Kohonen-Maps for this one.

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**mql5** · 07-11-2022, 04:00 PM

Our EA already has some resources which assist in trading — we have added them in our previous articles. However, this EA has some issues with visualization and resizing. They do not interfere with trading, but at some points this leads to a mess on the screen until you force it to refresh. In addition, there are still some things missing that would provide valuable information for us. These are specific things, but the information can be necessary.

So, let's start implementing these new improvements. This interesting article can provide some new ideas and methods of presenting information. At the same time, it can assist in fixing minor flaws in projects.

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**mql5** · 07-13-2022, 04:17 PM

There are a lot of websites and places on the web, featuring a huge amount information. What you need to know is where to look and how best to use this information. And the better you are informed during the right period, the better it is for trading. However, if you are going to use a browser, whatever it is: you will find that it is very difficult to filter certain information well, that you are forced to look at many screens and monitors, and in the end, although the information is there, it is impossible to use it.

But thanks to MQL5, which is very close to C/C++, programmers can do more than just work with a chart as is: we can search, filter, analyze data on the web and thus perform operations in a much more consistent way, than most traders because we are going to use all the computing power in our favor.

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**mql5** · 07-20-2022, 07:04 PM

In the previous article, we considered the k-means clustering method and studied its implementation using the Python language. However, the use of integration often imposes certain restrictions and additional costs. In particular, the current integration state does not allow the use of data of built-in applications such as indicators or terminal event handling. A lot of classic indicators are implemented in various libraries, but when we talk about custom indicators, we will need to reproduce their algorithms in our scripts. What to do if there is no source code of the indicator and we do not understand the algorithm of its action? Or if you are going to use the clustering results in other MQL5 programs? In such cases, we can benefit from the implementation of the clustering method using MQL5 tools.

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**mql5** · 07-21-2022, 08:01 PM

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Up to the present, we have not had any mathematically rigorous price movement theory. Instead, we have had to deal with experience-based assumptions stating that the price moves in a certain way after a certain pattern. Of course, these assumptions have been supported neither by statistics, nor by theory. The article provides the concepts and foundations of the mathematical apparatus of the rigorous theory price movement theory.

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**mql5** · 07-22-2022, 09:18 PM

In the previous article "Developing a trading Expert Advisor from scratch (Part 15): Accessing data on the web (I)", we presented the entire logic and ideas behind the methods of using the MetaTrader 5 platform to access marked data from specialized websites.
In that article, we considered how to access these sites and how to find and retrieve information from them in order to use it in the platform. But it doesn't end there, as simply capturing data doesn't make much sense. The most interesting part is to learn how to take this data from the platform and use it in an Expert Advisor. The method to do this is not so obvious and so it is hard to implement without knowing and understanding all the functions available in MetaTrader 5.

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**mql5** · 07-26-2022, 11:10 PM

The previous two articles were devoted to data clustering. But our main goal is to learn how to use all the considered methods to solve specific practical problems. In particular, trading related cases. When we started considering unsupervised learning methods, we talked about the possibility of using the results obtained both independently and as input data for other models. In this article, we will consider possible use cases for clustering results.

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**mql5** · 07-27-2022, 11:13 AM

The idea is to take repeated steps in the opposite direction of the gradient (or approximate gradient) of the function at the current point, because this is the direction of steepest descent. Conversely, stepping in the direction of the gradient will lead to a local maximum of that function; the procedure is then known as gradient ascent.

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Data Science and Machine Learning (Part 01): Linear Regression
Data Science and Machine Learning (Part 02): Logistic Regression
Data Science and Machine Learning part 03: Matrix Regressions
Data Science and Machine Learning (Part 04): Predicting Current Stock Market Crash
Data Science and Machine Learning (Part 05): Decision Trees
Data Science and Machine Learning (Part 06): Gradient Descent

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**mql5** · 07-28-2022, 11:23 AM

In the previous article Developing a trading Expert Advisor from scratch (Part 16): Accessing data on the web (II), we talked about the problems and consequences of data capturing from the web. We also considered how to use it in an Expert Advisor and discussed three possible solutions each having their pros and cons. However, we have a new problem: the system of terminal's global variables only allows the use of the double type. Many do not know how to avoid this, and therefore they pass various information, such as a piece of text, through the channel provided by MetaTrader 5. In this article, we will discuss how to get around this limitation.

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Neural networks made easy (Part 14): Data clustering

MQL5 Wizard techniques you should know (Part 02): Kohonen Maps

Developing a trading Expert Advisor from scratch (Part 14): Adding Volume At Price (II)

Developing a trading Expert Advisor from scratch (Part 15): Accessing data on the web (I)

Neural networks made easy (Part 15): Data clustering using MQL5

The price movement model and its main provisions (Part 1): The simplest model version and its applications

Developing a trading Expert Advisor from scratch (Part 16): Accessing data on the web (II)

Neural networks made easy (Part 16): Practical use of clustering

Data Science and Machine Learning (Part 06): Gradient Descent

Developing a trading Expert Advisor from scratch (Part 17): Accessing data on the web (III)

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