MQL4 and MQL5 Programming Articles

Here we will see how to implement something really interesting, but at the same time very difficult due to certain points that can be very confusing. The worst thing that can happen is that some traders who consider themselves professionals do not know anything about the importance of these concepts in the capital market. Well, although we focus here on programming, understanding some of the issues involved in market trading is paramount to what we are going to implement.

In this article, I will create the class of an auxiliary panel separator object for the SplitContainer control.

The article describes the way of connecting to the remote PC with installed MT4 Client Terminal via a PDA.

In this article we attempt to simplify our illustration of concepts covered in these series by dwelling on just one indicator, the most common and probably the easiest to understand. The moving average. In doing so we consider significance and possible applications of vertical natural transformations.

Training useful skills without an explicit reward function is one of the main challenges in hierarchical reinforcement learning. Previously, we already got acquainted with two algorithms for solving this problem. But the question of the completeness of environmental research remains open. This article demonstrates a different approach to skill training, the use of which directly depends on the current state of the system.

The article substantiates approach to building a trading system as a sequence of opening and closing the interrelated orders regarding the existing conditions - prices and the current values of each order's profit/loss, not only and not so much the conventional "alerts". We are giving an exemplary realization of such an elementary trading system.

The article answers the question: Why can the impossible become possible where much suggests otherwise? Technical analysis reasoning.

This article, that follows Category Theory implementation of Orders in MQL5, considers how database schemas can be incorporated for classification in MQL5. We take an introductory look at how database schema concepts could be married with category theory when identifying trade relevant text(string) information. Calendar events are the focus.

This article describes the implementation of a regression model based on a decision tree. The model should predict prices of financial assets. We have already prepared the data, trained and evaluated the model, as well as adjusted and optimized it. However, it is important to note that this model is intended for study purposes only and should not be used in real trading.

The article describes how to use indicators to watch the situation on financial markets online.

Can we benefit from seasonality when creating models for Deep Learning with python? Does filtering data for the ONNX models help to get better results? What time period should we use? We will cover all of this over this article.

Here we will look at how we can use more reliable data (traded ticks) in the replay system without worrying about whether it is adjusted or not.

Requote is a scourge for many Expert Advisors, especially for those that have rather sensitive conditions of entering/exiting a trade. In the article, a way to check up the EA for the requotes stability is offered.

In this article, I will create the functionality for hiding object sections located beyond their containers. Besides, I will create auxiliary arrow button objects to be used as part of other WinForms objects.

The article presents a complete exploration of the Nelder-Mead method, explaining how the simplex (function parameter space) is modified and rearranged at each iteration to achieve an optimal solution, and describes how the method can be improved.

Explore the fundamentals of MQL5 programming in this beginner-friendly article, where we demystify arrays, custom functions, preprocessors, and event handling, all explained with clarity making every line of code accessible. Join us in unlocking the power of MQL5 with a unique approach that ensures understanding at every step. This article sets the foundation for mastering MQL5, emphasizing the explanation of each line of code, and providing a distinct and enriching learning experience.

In this article we will talk about how MQL5 can interact with Python and FastAPI, using HTTP calls in MQL5 to interact with the tic-tac-toe game in Python. The article discusses the creation of an API using FastAPI for this integration and provides a test script in MQL5, highlighting the versatility of MQL5, the simplicity of Python, and the effectiveness of FastAPI in connecting different technologies to create innovative solutions.

Creating a profitable and stable trading system is always related to statistical data processing. In this article, we pout together statistical reports of the Automated Trading Championships 2006-2007. It may well be that the information they provide will help you find new trading ideas or correct the existing ones. Analyze the data and save your time.

We are all familiar with the concept of seasonality, for example, we are all accustomed to rising prices for fresh vegetables in winter or rising fuel prices during severe frosts, but few people know that similar patterns exist in the Forex market.

The article demonstrates an alternative view of technical analysis, which is based on the principles of both the modern automatic control theory and technical analysis itself. It is an introductory article representing the theory with some practical applications of it.

In this article we delve into the application of boostrapping techniques as a means to estimate the future performance of an automated strategy.

Density Based Spatial Clustering for Applications with Noise is an unsupervised form of grouping data that hardly requires any input parameters, save for just 2, which when compared to other approaches like k-means, is a boon. We delve into how this could be constructive for testing and eventually trading with Wizard assembled Expert Advisers

The more factors influence the behavior of a currency pair, the more difficult it is to evaluate its behavior and make up future forecasts. Therefore, if we managed to extract components of a currency pair, values of a national currency that change with the time, we could considerably delimit the freedom of national currency movement as compared to the currency pair with this currency, as well as the number of factors influencing its behavior. As a result we would increase the accuracy of its behavior estimation and future forecasting. How can we do that?

Here we will simplify a few elements related to the work in the next article. I'll also explain how you can visualize what the simulator generates in terms of randomness.

In this article, I will implement the functionality of scrolling the contents of the container using the buttons of the horizontal scrollbar.