MQL5 Cookbook: Writing the History of Deals to a File and Creating Balance Charts for Each Symbol in Excel
When communicating in various forums, I often used examples of my test results displayed as screenshots of Microsoft Excel charts. I have many times been asked to explain how such charts can be created. Finally, I now have some time to explain it all in this article.
Principles of Exchange Pricing through the Example of Moscow Exchange's Derivatives Market
This article describes the theory of exchange pricing and clearing specifics of Moscow Exchange's Derivatives Market. This is a comprehensive article for beginners who want to get their first exchange experience on derivatives trading, as well as for experienced forex traders who are considering trading on a centralized exchange platform.
Deep Neural Networks (Part II). Working out and selecting predictors
The second article of the series about deep neural networks will consider the transformation and choice of predictors during the process of preparing data for training a model.
MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 2
This paper continues checking the new conception to describe the window interface of MQL programs, using the structures of MQL. Automatically creating GUI based on the MQL markup provides additional functionality for caching and dynamically generating the elements and controlling the styles and new schemes for processing the events. Attached is an enhanced version of the standard library of controls.
Analysis of the Main Characteristics of Time Series
This article introduces a class designed to give a quick preliminary estimate of characteristics of various time series. As this takes place, statistical parameters and autocorrelation function are estimated, a spectral estimation of time series is carried out and a histogram is built.
Creating an Interactive Graphical User Interface in MQL5 (Part 1): Making the Panel
This article explores the fundamental steps in crafting and implementing a Graphical User Interface (GUI) panel using MetaQuotes Language 5 (MQL5). Custom utility panels enhance user interaction in trading by simplifying common tasks and visualizing essential trading information. By creating custom panels, traders can streamline their workflow and save time during trading operations.
CatBoost machine learning algorithm from Yandex with no Python or R knowledge required
The article provides the code and the description of the main stages of the machine learning process using a specific example. To obtain the model, you do not need Python or R knowledge. Furthermore, basic MQL5 knowledge is enough — this is exactly my level. Therefore, I hope that the article will serve as a good tutorial for a broad audience, assisting those interested in evaluating machine learning capabilities and in implementing them in their programs.
Testing patterns that arise when trading currency pair baskets. Part I
We begin testing the patterns and trying the methods described in the articles about trading currency pair baskets. Let's see how oversold/overbought level breakthrough patterns are applied in practice.
Universal Expert Advisor: Trading in a Group and Managing a Portfolio of Strategies (Part 4)
In the last part of the series of articles about the CStrategy trading engine, we will consider simultaneous operation of multiple trading algorithms, will learn to load strategies from XML files, and will present a simple panel for selecting Expert Advisors from a single executable module, and managing their trading modes.
Automating Trading Strategies in MQL5 (Part 7): Building a Grid Trading EA with Dynamic Lot Scaling
In this article, we build a grid trading expert advisor in MQL5 that uses dynamic lot scaling. We cover the strategy design, code implementation, and backtesting process. Finally, we share key insights and best practices for optimizing the automated trading system.
MQL5 Cookbook: Handling Typical Chart Events
This article considers typical chart events and includes examples of their processing. We will focus on mouse events, keystrokes, creation/modification/removal of a graphical object, mouse click on a chart and on a graphical object, moving a graphical object with a mouse, finish editing of text in a text field, as well as on chart modification events. A sample of an MQL5 program is provided for each type of event considered.
Selection and navigation utility in MQL5 and MQL4: Adding auto search for patterns and displaying detected symbols
In this article, we continue expanding the features of the utility for collecting and navigating through symbols. This time, we will create new tabs displaying only the symbols that satisfy some of the necessary parameters and find out how to easily add custom tabs with the necessary sorting rules.
An Analysis of Why Expert Advisors Fail
This article presents an analysis of currency data to better understand why expert advisors can have good performance in some regions of time and poor performance in other regions of time.
Statistical Probability Distributions in MQL5
The article addresses probability distributions (normal, log-normal, binomial, logistic, exponential, Cauchy distribution, Student's t-distribution, Laplace distribution, Poisson distribution, Hyperbolic Secant distribution, Beta and Gamma distribution) of random variables used in Applied Statistics. It also features classes for handling these distributions.
Introduction to MQL5 (Part 1): A Beginner's Guide into Algorithmic Trading
Dive into the fascinating realm of algorithmic trading with our beginner-friendly guide to MQL5 programming. Discover the essentials of MQL5, the language powering MetaTrader 5, as we demystify the world of automated trading. From understanding the basics to taking your first steps in coding, this article is your key to unlocking the potential of algorithmic trading even without a programming background. Join us on a journey where simplicity meets sophistication in the exciting universe of MQL5.
Graphical interfaces X: Advanced management of lists and tables. Code optimization (build 7)
The library code needs to be optimized: it should be more regularized, which is — more readable and comprehensible for studying. In addition, we will continue to develop the controls created previously: lists, tables and scrollbars.
Naive Bayes classifier for signals of a set of indicators
The article analyzes the application of the Bayes' formula for increasing the reliability of trading systems by means of using signals from multiple independent indicators. Theoretical calculations are verified with a simple universal EA, configured to work with arbitrary indicators.
Using the TesterWithdrawal() Function for Modeling the Withdrawals of Profit
This article describes the usage of the TesterWithDrawal() function for estimating risks in trade systems which imply the withdrawing of a certain part of assets during their operation. In addition, it describes the effect of this function on the algorithm of calculation of the drawdown of equity in the strategy tester. This function is useful when optimizing parameter of your Expert Advisors.
MQL Parsing by Means of MQL
The article describes a preprocessor, a scanner, and a parser to be used in parsing the MQL-based source codes. MQL implementation is attached.
Data Science and Machine Learning — Neural Network (Part 02): Feed forward NN Architectures Design
There are minor things to cover on the feed-forward neural network before we are through, the design being one of them. Let's see how we can build and design a flexible neural network to our inputs, the number of hidden layers, and the nodes for each of the network.
Learn how to design a trading system by Awesome Oscillator
In this new article in our series, we will learn about a new technical tool that may be useful in our trading. It is the Awesome Oscillator (AO) indicator. We will learn how to design a trading system by this indicator.
How to build and optimize a cycle-based trading system (Detrended Price Oscillator - DPO)
This article explains how to design and optimise a trading system using the Detrended Price Oscillator (DPO) in MQL5. It outlines the indicator's core logic, demonstrating how it identifies short-term cycles by filtering out long-term trends. Through a series of step-by-step examples and simple strategies, readers will learn how to code it, define entry and exit signals, and conduct backtesting. Finally, the article presents practical optimization methods to enhance performance and adapt the system to changing market conditions.
The Last Crusade
Take a look at your trading terminal. What means of price presentation can you see? Bars, candlesticks, lines. We are chasing time and prices whereas we only profit from prices. Shall we only give attention to prices when analyzing the market? This article proposes an algorithm and a script for point and figure charting ("naughts and crosses") Consideration is given to various price patterns whose practical use is outlined in recommendations provided.
Making a dashboard to display data in indicators and EAs
In this article, we will create a dashboard class to be used in indicators and EAs. This is an introductory article in a small series of articles with templates for including and using standard indicators in Expert Advisors. I will start by creating a panel similar to the MetaTrader 5 data window.
Social Trading. Can a profitable signal be made even better?
Most subscribers choose a trade signal by the beauty of the balance curve and by the number of subscribers. This is why many today's providers care of beautiful statistics rather than of real signal quality, often playing with lot sizes and artificially reducing the balance curve to an ideal appearance. This paper deals with the reliability criteria and the methods a provider may use to enhance its signal quality. An exemplary analysis of a specific signal history is presented, as well as methods that would help a provider to make it more profitable and less risky.
Interview with Irina Korobeinikova (irishka.rf)
Having a female member on the MQL5.community is rare. This interview was inspired by a one of a kind case. Irina Korobeinikova (irishka.rf) is a fifteen-year-old programmer from Izhevsk. She is currently the only girl who actively participates in the "Jobs" service and is featured on the Top Developers list.
Drawing Channels - Inside and Outside View
I guess it won't be an exaggeration, if I say the channels are the most popular tool for the analysis of market and making trade decisions after the moving averages. Without diving deeply into the mass of trade strategies that use channels and their components, we are going to discuss the mathematical basis and the practical implementation of an indicator, which draws a channel determined by three extremums on the screen of the client terminal.
Implementing a Bollinger Bands Trading Strategy with MQL5: A Step-by-Step Guide
A step-by-step guide to implementing an automated trading algorithm in MQL5 based on the Bollinger Bands trading strategy. A detailed tutorial based on creating an Expert Advisor that can be useful for traders.
Take a few lessons from Prop Firms (Part 1) — An introduction
In this introductory article, I address a few of the lessons one can take from the challenge rules that proprietary trading firms implement. This is especially relevant for beginners and those who struggle to find their footing in this world of trading. The subsequent article will address the code implementation.
Neural networks made easy (Part 11): A take on GPT
Perhaps one of the most advanced models among currently existing language neural networks is GPT-3, the maximal variant of which contains 175 billion parameters. Of course, we are not going to create such a monster on our home PCs. However, we can view which architectural solutions can be used in our work and how we can benefit from them.
The Player of Trading Based on Deal History
The player of trading. Only four words, no explanation is needed. Thoughts about a small box with buttons come to your mind. Press one button - it plays, move the lever - the playback speed changes. In reality, it is pretty similar. In this article, I want to show my development that plays trade history almost like it is in real time. The article covers some nuances of OOP, working with indicators and managing charts.
How to Secure Your Expert Advisor While Trading on the Moscow Exchange
The article delves into the trading methods ensuring the security of trading operations at the stock and low-liquidity markets through the example of Moscow Exchange's Derivatives Market. It brings practical approach to the trading theory described in the article "Principles of Exchange Pricing through the Example of Moscow Exchange's Derivatives Market".
Graphical Interfaces VII: The Tabs Control (Chapter 2)
The first chapter of seventh part introduced three classes of controls for creating tables: text label table (CLabelsTable), edit box table (CTable) and rendered table (CCanvasTable). In this article (chapter two) we are going to consider the Tabs control.
Universal Regression Model for Market Price Prediction
The market price is formed out of a stable balance between demand and supply which, in turn, depend on a variety of economic, political and psychological factors. Differences in nature as well as causes of influence of these factors make it difficult to directly consider all the components. This article sets forth an attempt to predict the market price on the basis of an elaborated regression model.
Library for easy and quick development of MetaTrader programs (part XVI): Symbol collection events
In this article, we will create a new base class of all library objects adding the event functionality to all its descendants and develop the class for tracking symbol collection events based on the new base class. We will also change account and account event classes for developing the new base object functionality.
Graphics in DoEasy library (Part 76): Form object and predefined color themes
In this article, I will describe the concept of building various library GUI design themes, create the Form object, which is a descendant of the graphical element class object, and prepare data for creating shadows of the library graphical objects, as well as for further development of the functionality.
Neural networks made easy (Part 12): Dropout
As the next step in studying neural networks, I suggest considering the methods of increasing convergence during neural network training. There are several such methods. In this article we will consider one of them entitled Dropout.
Neural Networks in Trading: A Multi-Agent Self-Adaptive Model (MASA)
I invite you to get acquainted with the Multi-Agent Self-Adaptive (MASA) framework, which combines reinforcement learning and adaptive strategies, providing a harmonious balance between profitability and risk management in turbulent market conditions.
Interview with Alexey Masterov (ATC 2012)
We do our best to introduce all the leading Championship Participants to our audience in reasonable time. To achieve that, we closely monitor the most promising contestants in our TOP-10 and arrange interviews with them. However, the sharp rise of Alexey Masterov (reinhard) up to the third place has become a real surprise!
Developing a cross-platform grider EA (part III): Correction-based grid with martingale
In this article, we will make an attempt to develop the best possible grid-based EA. As usual, this will be a cross-platform EA capable of working both with MetaTrader 4 and MetaTrader 5. The first EA was good enough, except that it could not make a profit over a long period of time. The second EA could work at intervals of more than several years. Unfortunately, it was unable to yield more than 50% of profit per year with a maximum drawdown of less than 50%.