Backpropagation Neural Networks using MQL5 Matrices
The article describes the theory and practice of applying the backpropagation algorithm in MQL5 using matrices. It provides ready-made classes along with script, indicator and Expert Advisor examples.
Creating a Trading Administrator Panel in MQL5 (Part XII): Integration of a Forex Values Calculator
Accurate calculation of key trading values is an indispensable part of every trader’s workflow. In this article, we will discuss, the integration of a powerful utility—the Forex Calculator—into the Trade Management Panel, further extending the functionality of our multi-panel Trading Administrator system. Efficiently determining risk, position size, and potential profit is essential when placing trades, and this new feature is designed to make that process faster and more intuitive within the panel. Join us as we explore the practical application of MQL5 in building advanced, trading panels.
Using Skype to Send Messages from an Expert Advisor
The article deals with the ways of how to send internal messages and SMSes from an Expert Advisor to mobile phones using Skype.
ALGLIB numerical analysis library in MQL5
The article takes a quick look at the ALGLIB 3.19 numerical analysis library, its applications and new algorithms that can improve the efficiency of financial data analysis.
The price movement model and its main provisions. (Part 3): Calculating optimal parameters of stock exchange speculations
Within the framework of the engineering approach developed by the author based on the probability theory, the conditions for opening a profitable position are found and the optimal (profit-maximizing) take profit and stop loss values are calculated.
Creating an EA that works automatically (Part 14): Automation (VI)
In this article, we will put into practice all the knowledge from this series. We will finally build a 100% automated and functional system. But before that, we still have to learn one last detail.
Developing a trading Expert Advisor from scratch (Part 29): The talking platform
In this article, we will learn how to make the MetaTrader 5 platform talk. What if we make the EA more fun? Financial market trading is often too boring and monotonous, but we can make this job less tiring. Please note that this project can be dangerous for those who experience problems such as addiction. However, in a general case, it just makes things less boring.
Working with Files. An Example of Important Market Events Visualization
The article deals with the outlook of using MQL4 for more productive work at FOREX markets.
Introduction to Connexus (Part 1): How to Use the WebRequest Function?
This article is the beginning of a series of developments for a library called “Connexus” to facilitate HTTP requests with MQL5. The goal of this project is to provide the end user with this opportunity and show how to use this helper library. I intended to make it as simple as possible to facilitate study and to provide the possibility for future developments.
MQL5 Trading Tools (Part 3): Building a Multi-Timeframe Scanner Dashboard for Strategic Trading
In this article, we build a multi-timeframe scanner dashboard in MQL5 to display real-time trading signals. We plan an interactive grid interface, implement signal calculations with multiple indicators, and add a close button. The article concludes with backtesting and strategic trading benefits
Sending Trading Signals in a Universal Expert Advisor
The article describes different ways of sending trading signals from a signal program unit of a universal Expert Advisor into the positions and orders controlling unit. It dwells on serial and parallel interfaces.
Creating an EA that works automatically (Part 08): OnTradeTransaction
In this article, we will see how to use the event handling system to quickly and efficiently process issues related to the order system. With this system the EA will work faster, so that it will not have to constantly search for the required data.
Neural networks made easy (Part 28): Policy gradient algorithm
We continue to study reinforcement learning methods. In the previous article, we got acquainted with the Deep Q-Learning method. In this method, the model is trained to predict the upcoming reward depending on the action taken in a particular situation. Then, an action is performed in accordance with the policy and the expected reward. But it is not always possible to approximate the Q-function. Sometimes its approximation does not generate the desired result. In such cases, approximation methods are applied not to utility functions, but to a direct policy (strategy) of actions. One of such methods is Policy Gradient.
Alternative Log File with the Use of HTML and CSS
In this article we will describe the process of writing a simple but a very powerful library for making the html files, will learn to adjust their displaying and will see how they can be easily implemented and used in your expert or the script.
Creating an EA that works automatically (Part 09): Automation (I)
Although the creation of an automated EA is not a very difficult task, however, many mistakes can be made without the necessary knowledge. In this article, we will look at how to build the first level of automation, which consists in creating a trigger to activate breakeven and a trailing stop level.
Multiple indicators on one chart (Part 02): First experiments
In the previous article "Multiple indicators on one chart" I presented the concept and the basics of how to use multiple indicators on one chart. In this article, I will provide the source code and will explain it in detail.
Developing a trading Expert Advisor from scratch (Part 8): A conceptual leap
What is the easiest way to implement new functionality? In this article, we will take one step back and then two steps forward.
Other classes in DoEasy library (Part 69): Chart object collection class
With this article, I start the development of the chart object collection class. The class will store the collection list of chart objects with their subwindows and indicators providing the ability to work with any selected charts and their subwindows or with a list of several charts at once.
Neural networks made easy (Part 24): Improving the tool for Transfer Learning
In the previous article, we created a tool for creating and editing the architecture of neural networks. Today we will continue working on this tool. We will try to make it more user friendly. This may see, top be a step away form our topic. But don't you think that a well organized workspace plays an important role in achieving the result.
Trader's Kit: Drag Trade Library
The article describes Drag Trade Library that provides functionality for visual trading. The library can easily be integrated into virtually any Expert Advisor. Your Expert Advisor can be transformed from an automat into an automated trading and information system almost effortless on your side by just adding a few lines of code.
Automating Trading Strategies in MQL5 (Part 20): Multi-Symbol Strategy Using CCI and AO
In this article, we create a multi-symbol trading strategy using CCI and AO indicators to detect trend reversals. We cover its design, MQL5 implementation, and backtesting process. The article concludes with tips for performance improvement.
Developing a trading Expert Advisor from scratch (Part 10): Accessing custom indicators
How to access custom indicators directly in an Expert Advisor? A trading EA can be truly useful only if it can use custom indicators; otherwise, it is just a set of codes and instructions.
Creating volatility forecast indicator using Python
In this article, we will forecast future extreme volatility using binary classification. Besides, we will develop an extreme volatility forecast indicator using machine learning.
Trend-Hunting
The article describes an algorithm of volume increase of a profit trade. Its implementation using MQL4 means is presented in the article.
Creating an EA that works automatically (Part 13): Automation (V)
Do you know what a flowchart is? Can you use it? Do you think flowcharts are for beginners? I suggest that we proceed to this new article and learn how to work with flowcharts.
Neural networks made easy (Part 19): Association rules using MQL5
We continue considering association rules. In the previous article, we have discussed theoretical aspect of this type of problem. In this article, I will show the implementation of the FP Growth method using MQL5. We will also test the implemented solution using real data.
Timeseries in DoEasy library (part 44): Collection class of indicator buffer objects
The article deals with creating a collection class of indicator buffer objects. I am going to test the ability to create and work with any number of buffers for indicators (the maximum number of buffers that can be created in MQL indicators is 512).
From Novice to Expert: Support and Resistance Strength Indicator (SRSI)
In this article, we will share insights on how to leverage MQL5 programming to pinpoint market levels—differentiating between weaker and strongest price levels. We will fully develop a working, Support and Resistance Strength Indicator (SRSI).
Forecasting with ARIMA models in MQL5
In this article we continue the development of the CArima class for building ARIMA models by adding intuitive methods that enable forecasting.
Interview with Leonid Velichkovsky: "The Biggest Myth about Neural Networks is Super-Profitability" (ATC 2010)
The hero of our interview Leonid Velichkovski (LeoV) has already participated in Automated Trading Championships. In 2008, his multicurrency neural network was like a bright flash in the sky, earning $110,000 in a certain moment, but eventually fell victim to its own aggressive money management. Two years ago, in his interview Leonid share his own trading experience and told us about the features of his Expert Advisor. On the eve of the ATC 2010, Leonid talks about the most common myths and misconceptions associated with neural networks.
Studying PrintFormat() and applying ready-made examples
The article will be useful for both beginners and experienced developers. We will look at the PrintFormat() function, analyze examples of string formatting and write templates for displaying various information in the terminal log.
Introduction to MQL5 (Part 17): Building Expert Advisors for Trend Reversals
This article teaches beginners how to build an Expert Advisor (EA) in MQL5 that trades based on chart pattern recognition using trend line breakouts and reversals. By learning how to retrieve trend line values dynamically and compare them with price action, readers will be able to develop EAs capable of identifying and trading chart patterns such as ascending and descending trend lines, channels, wedges, triangles, and more.
Using PatchTST Machine Learning Algorithm for Predicting Next 24 Hours of Price Action
In this article, we apply a relatively complex neural network algorithm released in 2023 called PatchTST for predicting the price action for the next 24 hours. We will use the official repository, make slight modifications, train a model for EURUSD, and apply it to making future predictions both in Python and MQL5.
Graphics in DoEasy library (Part 97): Independent handling of form object movement
In this article, I will consider the implementation of the independent dragging of any form objects using a mouse. Besides, I will complement the library by error messages and new deal properties previously implemented into the terminal and MQL5.
Graphical Control of External Parameters of Indicators
External variables of indicators are controlled using a special window where parameters can be changed and the indicator is then run again. The obvious inconvenience of these manipulations has given rise to the need for displaying the required parameters on the screen and controlling the indicator graphically.
How to connect MetaTrader 5 to PostgreSQL
This article describes four methods for connecting MQL5 code to a Postgres database and provides a step-by-step tutorial for setting up a development environment for one of them, a REST API, using the Windows Subsystem For Linux (WSL). A demo app for the API is provided along with the corresponding MQL5 code to insert data and query the respective tables, as well as a demo Expert Advisor to consume this data.
MQL5 Cookbook: Handling Custom Chart Events
This article considers aspects of design and development of custom chart events system in the MQL5 environment. An example of an approach to the events classification can also be found here, as well as a program code for a class of events and a class of custom events handler.
Graphics in DoEasy library (Part 82): Library objects refactoring and collection of graphical objects
In this article, I will improve all library objects by assigning a unique type to each object and continue the development of the library graphical objects collection class.
Automated grid trading using limit orders on Moscow Exchange (MOEX)
The article considers the development of an MQL5 Expert Advisor (EA) for MetaTrader 5 aimed at working on MOEX. The EA is to follow a grid strategy while trading on MOEX using MetaTrader 5 terminal. The EA involves closing positions by stop loss and take profit, as well as removing pending orders in case of certain market conditions.
Creating an EA that works automatically (Part 05): Manual triggers (II)
Today we'll see how to create an Expert Advisor that simply and safely works in automatic mode. At the end of the previous article, I suggested that it would be appropriate to allow manual use of the EA, at least for a while.