Creating an EA that works automatically (Part 02): Getting started with the code
Today we'll see how to create an Expert Advisor that simply and safely works in automatic mode. In the previous article, we discussed the first steps that anyone needs to understand before proceeding to creating an Expert Advisor that trades automatically. We considered the concepts and the structure.
Data Science and Machine Learning — Neural Network (Part 01): Feed Forward Neural Network demystified
Many people love them but a few understand the whole operations behind Neural Networks. In this article I will try to explain everything that goes behind closed doors of a feed-forward multi-layer perception in plain English.
Using the CCanvas class in MQL applications
The article considers the use of the CCanvas class in MQL applications. The theory is accompanied by detailed explanations and examples for thorough understanding of CCanvas basics.
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.
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.
Money Management Revisited
The article deals with some issues arising when traders apply various money management systems to Forex trading. Experimental data obtained from performing trading deals using different money management (MM) methods is also described.
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.
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.
Cross-Platform Expert Advisor: Reuse of Components from the MQL5 Standard Library
There exists some components in the MQL5 Standard Library that may prove to be useful in the MQL4 version of cross-platform expert advisors. This article deals with a method of making certain components of the MQL5 Standard Library compatible with the MQL4 compiler.
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.
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.
Creating a comprehensive Owl trading strategy
My strategy is based on the classic trading fundamentals and the refinement of indicators that are widely used in all types of markets. This is a ready-made tool allowing you to follow the proposed new profitable trading strategy.
Testing Expert Advisors on Non-Standard Time Frames
It's not just simple; it's super simple. Testing Expert Advisors on non-standard time frames is possible! All we need to do is to replace standard time frame data with non-standard time frame data. Furthermore, we can even test Expert Advisors that use data from several non-standard time frames.
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.
Price Action Analysis Toolkit Development (Part 28): Opening Range Breakout Tool
At the start of each trading session, the market’s directional bias often becomes clear only after price moves beyond the opening range. In this article, we explore how to build an MQL5 Expert Advisor that automatically detects and analyzes Opening Range Breakouts, providing you with timely, data‑driven signals for confident intraday entries.
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.
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.
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.
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.
MQL5 Cookbook: Processing of the TradeTransaction Event
This article considers capabilities of the MQL5 language from the point of view of the event-driven programming. The greatest advantage of this approach is that the program can receive information about phased implementation of a trade operation. The article also contains an example of receiving and processing information about ongoing trade operation using the TradeTransaction event handler. In my opinion, such an approach can be used for copying deals from one terminal to another.
Implementation of Indicators as Classes by Examples of Zigzag and ATR
Debate about an optimal way of calculating indicators is endless. Where should we calculate the indicator values - in the indicator itself or embed the entire logic in a Expert Advisor that uses it? The article describes one of the variants of moving the source code of a custom indicator iCustom right in the code of an Expert Advisor or script with optimization of calculations and modeling the prev_calculated value.
Automating Trading Strategies in MQL5 (Part 46): Liquidity Sweep on Break of Structure (BoS)
In this article, we build a Liquidity Sweep on Break of Structure (BoS) system in MQL5 that detects swing highs/lows over a user-defined length, labels them as HH/HL/LH/LL to identify BOS (HH in uptrend or LL in downtrend), and spots liquidity sweeps when price wicks beyond the swing but closes back inside on a bullish/bearish candle.
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.
Build Self Optmising Expert Advisors in MQL5
Build expert advisors that look forward and adjust themselves to any market.
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.
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.
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.
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.
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.
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.
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.
Developing a trading Expert Advisor from scratch (Part 7): Adding Volume at Price (I)
This is one of the most powerful indicators currently existing. Anyone who trades trying to have a certain degree of confidence must have this indicator on their chart. Most often the indicator is used by those who prefer “tape reading” while trading. Also, this indicator can be utilized by those who use only Price Action while trading.
Synthetic Bars - A New Dimension to Displaying Graphical Information on Prices
The main drawback of traditional methods for displaying price information using bars and Japanese candlesticks is that they are bound to the time period. It was perhaps optimal at the time when these methods were created but today when the market movements are sometimes too rapid, prices displayed in a chart in this way do not contribute to a prompt response to the new movement. The proposed price chart display method does not have this drawback and provides a quite familiar layout.
How to create a custom indicator (Heiken Ashi) using MQL5
In this article, we will learn how to create a custom indicator using MQL5 based on our preferences, to be used in MetaTrader 5 to help us read charts or to be used in automated Expert Advisors.
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.
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.
Statistical Carry Trade Strategy
An algorithm of statistical protection of open positive swap positions from unwanted price movements. This article features a variant of the carry trade protection strategy that allows to compensate for potential risk of the price movement in the direction opposite to that of the open position.
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.
Risk Evaluation in the Sequence of Deals with One Asset
This article describes the use of methods of the theory of probability and mathematical statistics in the analysis of trading systems.
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".