Multicurrency monitoring of trading signals (Part 4): Enhancing functionality and improving the signal search system
In this part, we expand the trading signal searching and editing system, as well as introduce the possibility to use custom indicators and add program localization. We have previously created a basic system for searching signals, but it was based on a small set of indicators and a simple set of search rules.
Rope Indicator by Erik Nayman
The article reveals how the "Rope" indicator is created based on "The Small Encyclopedia of Trader" by Erik L. Nayman. This indicator shows the direction of the trend using the calculated values of bulls and bears over a specified period of time. The article also contains principles of creating and calculating indicators along with the examples of codes. Other subjects covered include building an Expert Advisor based on the indicator, and the optimization of external parameters.
Cross-Platform Expert Advisor: Custom Stops, Breakeven and Trailing
This article discusses how custom stop levels can be set up in a cross-platform expert advisor. It also discusses a closely-related method by which the evolution of a stop level over time can be defined.
Resolving entries into indicators
Different situations happen in trader’s life. Often, the history of successful trades allows us to restore a strategy, while looking at a loss history we try to develop and improve it. In both cases, we compare trades with known indicators. This article suggests methods of batch comparison of trades with a number of indicators.
Neural networks made easy (Part 7): Adaptive optimization methods
In previous articles, we used stochastic gradient descent to train a neural network using the same learning rate for all neurons within the network. In this article, I propose to look towards adaptive learning methods which enable changing of the learning rate for each neuron. We will also consider the pros and cons of this approach.
Deep Learning Forecast and ordering with Python and MetaTrader5 python package and ONNX model file
The project involves using Python for deep learning-based forecasting in financial markets. We will explore the intricacies of testing the model's performance using key metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared (R2) and we will learn how to wrap everything into an executable. We will also make a ONNX model file with its EA.
Ready-made Expert Advisors from the MQL5 Wizard work in MetaTrader 4
The article offers a simple emulator of the MetaTrader 5 trading environment for MetaTrader 4. The emulator implements migration and adjustment of trade classes of the Standard Library. As a result, Expert Advisors generated in the MetaTrader 5 Wizard can be compiled and executed in MetaTrader 4 without changes.
MQL5 Cookbook - Creating a ring buffer for fast calculation of indicators in a sliding window
The ring buffer is the simplest and the most efficient way to arrange data when performing calculations in a sliding window. The article describes the algorithm and shows how it simplifies calculations in a sliding window and makes them more efficient.
Developing graphical interfaces based on .Net Framework and C# (part 2): Additional graphical elements
The article is a follow-up of the previous publication "Developing graphical interfaces for Expert Advisors and indicators based on .Net Framework and C#". It introduces new graphical elements for creating graphical interfaces.
Creating a trading robot for Moscow Exchange. Where to start?
Many traders on Moscow Exchange would like to automate their trading algorithms, but they do not know where to start. The MQL5 language offers a huge range of trading functions, and it additionally provides ready classes that help users to make their first steps in algo trading.
MQL5 Cookbook - Programming moving channels
This article presents a method of programming the equidistant channel system. Certain details of building such channels are being considered here. Channel typification is provided, and a universal type of moving channels' method is suggested. Object-oriented programming (OOP) is used for code implementation.
Neural networks made easy (Part 2): Network training and testing
In this second article, we will continue to study neural networks and will consider an example of using our created CNet class in Expert Advisors. We will work with two neural network models, which show similar results both in terms of training time and prediction accuracy.
MQL5 Cookbook: Saving Optimization Results of an Expert Advisor Based on Specified Criteria
We continue the series of articles on MQL5 programming. This time we will see how to get results of each optimization pass right during the Expert Advisor parameter optimization. The implementation will be done so as to ensure that if the conditions specified in the external parameters are met, the corresponding pass values will be written to a file. In addition to test values, we will also save the parameters that brought about such results.
Manual charting and trading toolkit (Part II). Chart graphics drawing tools
This is the next article within the series, in which I show how I created a convenient library for manual application of chart graphics by utilizing keyboard shortcuts. The tools used include straight lines and their combinations. In this part, we will view how the drawing tools are applied using the functions described in the first part. The library can be connected to any Expert Advisor or indicator which will greatly simplify the charting tasks. This solution DOES NOT use external dlls, while all the commands are implemented using built-in MQL tools.
Library for easy and quick development of MetaTrader programs (part XXVII): Working with trading requests - placing pending orders
In this article, we will continue the development of trading requests, implement placing pending orders and eliminate detected shortcomings of the trading class operation.
Using AutoIt With MQL5
Short description. In this article we will explore scripting the MetraTrader 5 terminal by integrating MQL5 with AutoIt. In it we will cover how to automate various tasks by manipulating the terminals' user interface and also present a class that uses the AutoItX library.
Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal API, Part 2
This article describes a new approach to hedging of positions and draws the line in the debates between users of MetaTrader 4 and MetaTrader 5 about this matter. It is a continuation of the first part: "Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal Panel, Part 1". In the second part, we discuss integration of custom Expert Advisors with HedgeTerminalAPI, which is a special visualization library designed for bi-directional trading in a comfortable software environment providing tools for convenient position management.
Graphical Interfaces X: Text Edit box, Picture Slider and simple controls (build 5)
This article will consider new controls: Text Edit box, Picture Slider, as well as additional simple controls: Text label and Picture. The library continues to grow, and in addition to introduction of new controls, the previously created ones are also being improved.
Charts and diagrams in HTML
Today it is difficult to find a computer that does not have an installed web-browser. For a long time browsers have been evolving and improving. This article discusses the simple and safe way to create of charts and diagrams, based on the the information, obtained from MetaTrader 5 client terminal for displaying them in the browser.
MQL5 Cookbook: How to Avoid Errors When Setting/Modifying Trade Levels
In continuation of our work on the Expert Advisor from the previous article of the series called "MQL5 Cookbook: Analyzing Position Properties in the MetaTrader 5 Strategy Tester", we will enhance it with a whole lot of useful functions, as well as improve and optimize the existing ones. The Expert Advisor will this time have external parameters that can be optimized in the MetaTrader 5 Strategy Tester and will in some ways resemble a simple trading system.
Neural networks made easy (Part 4): Recurrent networks
We continue studying the world of neural networks. In this article, we will consider another type of neural networks, recurrent networks. This type is proposed for use with time series, which are represented in the MetaTrader 5 trading platform by price charts.
Learn how to deal with date and time in MQL5
A new article about a new important topic which is dealing with date and time. As traders or programmers of trading tools, it is very crucial to understand how to deal with these two aspects date and time very well and effectively. So, I will share some important information about how we can deal with date and time to create effective trading tools smoothly and simply without any complicity as much as I can.
Modified Grid-Hedge EA in MQL5 (Part I): Making a Simple Hedge EA
We will be creating a simple hedge EA as a base for our more advanced Grid-Hedge EA, which will be a mixture of classic grid and classic hedge strategies. By the end of this article, you will know how to create a simple hedge strategy, and you will also get to know what people say about whether this strategy is truly 100% profitable.
Multibot in MetaTrader: Launching multiple robots from a single chart
In this article, I will consider a simple template for creating a universal MetaTrader robot that can be used on multiple charts while being attached to only one chart, without the need to configure each instance of the robot on each individual chart.
Data Science and Machine Learning (Part 01): Linear Regression
It's time for us as traders to train our systems and ourselves to make decisions based on what number says. Not on our eyes, and what our guts make us believe, this is where the world is heading so, let us move perpendicular to the direction of the wave.
Timeseries in DoEasy library (part 37): Timeseries collection - database of timeseries by symbols and periods
The article deals with the development of the timeseries collection of specified timeframes for all symbols used in the program. We are going to develop the timeseries collection, the methods of setting collection's timeseries parameters and the initial filling of developed timeseries with historical data.
Building interactive semi-automatic drag-and-drop Expert Advisor based on predefined risk and R/R ratio
Some traders execute all their trades automatically, and some mix automatic and manual trades based on the output of several indicators. Being a member of the latter group I needed an interactive tool to asses dynamically risk and reward price levels directly from the chart. This article will present a way to implement an interactive semi-automatic Expert Advisor with predefined equity risk and R/R ratio. The Expert Advisor risk, R/R and lot size parameters can be changed during runtime on the EA panel.
What you can do with Moving Averages
The article considers several methods of applying the Moving Average indicator. Each method involving a curve analysis is accompanied by indicators visualizing the idea. In most cases, the ideas shown here belong to their respected authors. My sole task was to bring them together to let you see the main approaches and, hopefully, make more reasonable trading decisions. MQL5 proficiency level — basic.
MQL5 Integration: Python
Python is a well-known and popular programming language with many features, especially in the fields of finance, data science, Artificial Intelligence, and Machine Learning. Python is a powerful tool that can be useful in trading as well. MQL5 allows us to use this powerful language as an integration to get our objectives done effectively. In this article, we will share how we can use Python as an integration in MQL5 after learning some basic information about Python.
Fast Testing of Trading Ideas on the Chart
The article describes the method of fast visual testing of trading ideas. The method is based on the combination of a price chart, a signal indicator and a balance calculation indicator. I would like to share my method of searching for trading ideas, as well as the method I use for fast testing of these ideas.
Developing a cross-platform grider EA (part II): Range-based grid in trend direction
In this article, we will develop a grider EA for trading in a trend direction within a range. Thus, the EA is to be suited mostly for Forex and commodity markets. According to the tests, our grider showed profit since 2018. Unfortunately, this is not true for the period of 2014-2018.
Library for easy and quick development of MetaTrader programs (part XVII): Interactivity of library objects
In this article, we are going to finish the development of the base object of all library objects, so that any library object based on it is able to interact with a user. For example, users will be able to set the maximum acceptable size of a spread for opening a position and a price level, upon reaching which an event from a symbol object is sent to the program with the spread or price level-based signal.
Manual charting and trading toolkit (Part III). Optimization and new tools
In this article, we will further develop the idea of drawing graphical objects on charts using keyboard shortcuts. New tools have been added to the library, including a straight line plotted through arbitrary vertices, and a set of rectangles that enable the evaluation of the reversal time and level. Also, the article shows the possibility to optimize code for improved performance. The implementation example has been rewritten, allowing the use of Shortcuts alongside other trading programs. Required code knowledge level: slightly higher than a beginner.
Automating Trading Strategies in MQL5 (Part 9): Building an Expert Advisor for the Asian Breakout Strategy
In this article, we build an Expert Advisor in MQL5 for the Asian Breakout Strategy by calculating the session's high and low and applying trend filtering with a moving average. We implement dynamic object styling, user-defined time inputs, and robust risk management. Finally, we demonstrate backtesting and optimization techniques to refine the program.
Better Programmer (Part 06): 9 habits that lead to effective coding
It's not always all about writing the code that leads to effective coding. There are certain habits that I have found in my experience that lead to effective coding. We are going to discuss some of them in detail in this article. This is a must-read article for every programmer who wants to improve their ability to write complex algorithms with less hassle.
Automating Trading Strategies in MQL5 (Part 36): Supply and Demand Trading with Retest and Impulse Model
In this article, we create a supply and demand trading system in MQL5 that identifies supply and demand zones through consolidation ranges, validates them with impulsive moves, and trades retests with trend confirmation and customizable risk parameters. The system visualizes zones with dynamic labels and colors, supporting trailing stops for risk management.
Modeling time series using custom symbols according to specified distribution laws
The article provides an overview of the terminal's capabilities for creating and working with custom symbols, offers options for simulating a trading history using custom symbols, trend and various chart patterns.
Learn how to design a trading system by Alligator
In this article, we'll complete our series about how to design a trading system based on the most popular technical indicator. We'll learn how to create a trading system based on the Alligator indicator.
Exploring options for creating multicolored candlesticks
In this article I will address the possibilities of creating customized indicators with candlesticks, pointing out their advantages and disadvantages.
Matrices and vectors in MQL5
By using special data types 'matrix' and 'vector', it is possible to create code which is very close to mathematical notation. With these methods, you can avoid the need to create nested loops or to mind correct indexing of arrays in calculations. Therefore, the use of matrix and vector methods increases the reliability and speed in developing complex programs.