Articles on manual and algorithmic trading in MetaTrader 5

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This category features articles on all aspects of trading - from manual to fully automatic trading, from Expert Advisor ideas to trading robot creation using the MQL5 Wizard. Position management, processing of trade events and money management - these integral parts of trading are covered in theses articles.

Learn how to copy trading signals and how to provide around-the-clock operation of Expert Advisors, how to create a trading robot and how to run MetaTrader on Linux and MacOS, what social trading is and how to order a trading robot.

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Learn how to design a trading system by Momentum
Learn how to design a trading system by Momentum

Learn how to design a trading system by Momentum

In my previous article, I mentioned the importance of identifying the trend which is the direction of prices. In this article I will share one of the most important concepts and indicators which is the Momentum indicator. I will share how to design a trading system based on this Momentum indicator.
Reversing: Formalizing the entry point and developing a manual trading algorithm
Reversing: Formalizing the entry point and developing a manual trading algorithm

Reversing: Formalizing the entry point and developing a manual trading algorithm

This is the last article within the series devoted to the Reversing trading strategy. Here we will try to solve the problem, which caused the testing results instability in previous articles. We will also develop and test our own algorithm for manual trading in any market using the reversing strategy.
Multicurrency monitoring of trading signals (Part 4): Enhancing functionality and improving the signal search system
Multicurrency monitoring of trading signals (Part 4): Enhancing functionality and improving the signal search system

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.
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Automating Trading Strategies in MQL5 (Part 12): Implementing the Mitigation Order Blocks (MOB) Strategy

Automating Trading Strategies in MQL5 (Part 12): Implementing the Mitigation Order Blocks (MOB) Strategy

In this article, we build an MQL5 trading system that automates order block detection for Smart Money trading. We outline the strategy’s rules, implement the logic in MQL5, and integrate risk management for effective trade execution. Finally, we backtest the system to assess its performance and refine it for optimal results.
Creating a trading robot for Moscow Exchange. Where to start?
Creating a trading robot for Moscow Exchange. Where to start?

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.
What is Martingale and Is It Reasonable to Use It?
What is Martingale and Is It Reasonable to Use It?

What is Martingale and Is It Reasonable to Use It?

This article contains a detailed description of the Martingale system, as well as precise mathematical calculations, necessary for answering the question: "Is it reasonable to use Martingale?".
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Dealing with Time (Part 2): The Functions

Dealing with Time (Part 2): The Functions

Determing the broker offset and GMT automatically. Instead of asking the support of your broker, from whom you will probably receive an insufficient answer (who would be willing to explain a missing hour), we simply look ourselves how they time their prices in the weeks of the time changes — but not cumbersome by hand, we let a program do it — why do we have a PC after all.
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Automating Trading Strategies in MQL5 (Part 11): Developing a Multi-Level Grid Trading System

Automating Trading Strategies in MQL5 (Part 11): Developing a Multi-Level Grid Trading System

In this article, we develop a multi-level grid trading system EA using MQL5, focusing on the architecture and algorithm design behind grid trading strategies. We explore the implementation of multi-layered grid logic and risk management techniques to handle varying market conditions. Finally, we provide detailed explanations and practical tips to guide you through building, testing, and refining the automated trading system.
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Automating Trading Strategies in MQL5 (Part 40): Fibonacci Retracement Trading with Custom Levels

Automating Trading Strategies in MQL5 (Part 40): Fibonacci Retracement Trading with Custom Levels

In this article, we build an MQL5 Expert Advisor for Fibonacci retracement trading, using either daily candle ranges or lookback arrays to calculate custom levels like 50% and 61.8% for entries, determining bullish or bearish setups based on close vs. open. The system triggers buys or sells on price crossings of levels with max trades per level, optional closure on new Fib calcs, points-based trailing stops after a min profit threshold, and SL/TP buffers as percentages of the range.
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Introduction to MQL5 (Part 7): Beginner's Guide to Building Expert Advisors and Utilizing AI-Generated Code in MQL5

Introduction to MQL5 (Part 7): Beginner's Guide to Building Expert Advisors and Utilizing AI-Generated Code in MQL5

Discover the ultimate beginner's guide to building Expert Advisors (EAs) with MQL5 in our comprehensive article. Learn step-by-step how to construct EAs using pseudocode and harness the power of AI-generated code. Whether you're new to algorithmic trading or seeking to enhance your skills, this guide provides a clear path to creating effective EAs.
Patterns available when trading currency baskets. Part III
Patterns available when trading currency baskets. Part III

Patterns available when trading currency baskets. Part III

This is the final article devoted to the patterns that occur when trading currency pair baskets. It considers combined trend-following indicators and application of standard graphical constructions.
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Practical application of neural networks in trading (Part 2). Computer vision

Practical application of neural networks in trading (Part 2). Computer vision

The use of computer vision allows training neural networks on the visual representation of the price chart and indicators. This method enables wider operations with the whole complex of technical indicators, since there is no need to feed them digitally into the neural network.
Trading Strategy Based on Pivot Points Analysis
Trading Strategy Based on Pivot Points Analysis

Trading Strategy Based on Pivot Points Analysis

Pivot Points (PP) analysis is one of the simplest and most effective strategies for high intraday volatility markets. It was used as early as in the precomputer times, when traders working at stocks could not use any ADP equipment, except for counting frames and arithmometers.
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Money management in trading

Money management in trading

We will look at several new ways of building money management systems and define their main features. Today, there are quite a few money management strategies to fit every taste. We will try to consider several ways to manage money based on different mathematical growth models.
A Few Tips for First-Time Customers
A Few Tips for First-Time Customers

A Few Tips for First-Time Customers

A proverbial wisdom often attributed to various famous people says: "He who makes no mistakes never makes anything." Unless you consider idleness itself a mistake, this statement is hard to argue with. But you can always analyze the past mistakes (your own and of others) to minimize the number of your future mistakes. We are going to attempt to review possible situations arising when executing jobs in the same-name service.
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Matrices and vectors in MQL5

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.
Self-adapting algorithm (Part IV): Additional functionality and tests
Self-adapting algorithm (Part IV): Additional functionality and tests

Self-adapting algorithm (Part IV): Additional functionality and tests

I continue filling the algorithm with the minimum necessary functionality and testing the results. The profitability is quite low but the articles demonstrate the model of the fully automated profitable trading on completely different instruments traded on fundamentally different markets.
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Learn how to design a trading system by Alligator

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.
Developing a cross-platform grider EA (part II): Range-based grid in trend direction
Developing a cross-platform grider EA (part II): Range-based grid in trend direction

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.
Tips for Selecting a Trading Signal to Subscribe. Step-By-Step Guide
Tips for Selecting a Trading Signal to Subscribe. Step-By-Step Guide

Tips for Selecting a Trading Signal to Subscribe. Step-By-Step Guide

This step-by-step guide is dedicated to the Signals service, examination of trading signals, a system approach to the search of a required signal which would satisfy criteria of profitability, risk, trading ambitions, working on various types of accounts and financial instruments.
Multicurrency monitoring of trading signals (Part 5): Composite signals
Multicurrency monitoring of trading signals (Part 5): Composite signals

Multicurrency monitoring of trading signals (Part 5): Composite signals

In the fifth article related to the creation of a trading signal monitor, we will consider composite signals and will implement the necessary functionality. In earlier versions, we used simple signals, such as RSI, WPR and CCI, and we also introduced the possibility to use custom indicators.
MetaTrader 4 and MetaTrader 5 Trading Signals Widgets
MetaTrader 4 and MetaTrader 5 Trading Signals Widgets

MetaTrader 4 and MetaTrader 5 Trading Signals Widgets

Recently MetaTrader 4 and MetaTrader 5 user received an opportunity to become a Signals Provider and earn additional profit. Now, you can display your trading success on your web site, blog or social network page using the new widgets. The benefits of using widgets are obvious: they increase the Signals Providers' popularity, establish their reputation as successful traders, as well as attract new Subscribers. All traders placing widgets on other web sites can enjoy these benefits.
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Mastering Market Dynamics: Creating a Support and Resistance Strategy Expert Advisor (EA)

Mastering Market Dynamics: Creating a Support and Resistance Strategy Expert Advisor (EA)

A comprehensive guide to developing an automated trading algorithm based on the Support and Resistance strategy. Detailed information on all aspects of creating an expert advisor in MQL5 and testing it in MetaTrader 5 – from analyzing price range behaviors to risk management.
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Learn how to design a trading system by Bear's Power

Learn how to design a trading system by Bear's Power

Welcome to a new article in our series about learning how to design a trading system by the most popular technical indicator here is a new article about learning how to design a trading system by Bear's Power technical indicator.
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Learn how to deal with date and time in MQL5

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.
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Design Patterns in software development and MQL5 (Part 4): Behavioral Patterns 2

Design Patterns in software development and MQL5 (Part 4): Behavioral Patterns 2

In this article, we will complete our series about the Design Patterns topic, we mentioned that there are three types of design patterns creational, structural, and behavioral. We will complete the remaining patterns of the behavioral type which can help set the method of interaction between objects in a way that makes our code clean.
What is a trend and is the market structure based on trend or flat?
What is a trend and is the market structure based on trend or flat?

What is a trend and is the market structure based on trend or flat?

Traders often talk about trends and flats but very few of them really understand what a trend/flat really is and even fewer are able to clearly explain these concepts. Discussing these basic terms is often beset by a solid set of prejudices and misconceptions. However, if we want to make profit, we need to understand the mathematical and logical meaning of these concepts. In this article, I will take a closer look at the essence of trend and flat, as well as try to define whether the market structure is based on trend, flat or something else. I will also consider the most optimal strategies for making profit on trend and flat markets.
Combination scalping: analyzing trades from the past to increase the performance of future trades
Combination scalping: analyzing trades from the past to increase the performance of future trades

Combination scalping: analyzing trades from the past to increase the performance of future trades

The article provides the description of the technology aimed at increasing the effectiveness of any automated trading system. It provides a brief explanation of the idea, as well as its underlying basics, possibilities and disadvantages.
Liquid Chart
Liquid Chart

Liquid Chart

Would you like to see an hourly chart with bars opening from the second and the fifth minute of the hour? What does a redrawn chart look like when the opening time of bars is changing every minute? What advantages does trading on such charts have? You will find answers to these questions in this article.
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Finding seasonal patterns in the forex market using the CatBoost algorithm

Finding seasonal patterns in the forex market using the CatBoost algorithm

The article considers the creation of machine learning models with time filters and discusses the effectiveness of this approach. The human factor can be eliminated now by simply instructing the model to trade at a certain hour of a certain day of the week. Pattern search can be provided by a separate algorithm.
Using MetaTrader 5 as a Signal Provider for MetaTrader 4
Using MetaTrader 5 as a Signal Provider for MetaTrader 4

Using MetaTrader 5 as a Signal Provider for MetaTrader 4

Analyse and examples of techniques how trading analysis can be performed on MetaTrader 5 platform, but executed by MetaTrader 4. Article will show you how to create simple signal provider in your MetaTrader 5, and connect to it with multiple clients, even running MetaTrader 4. Also you will find out how you can follow participants of Automated Trading Championship in your real MetaTrader 4 account.
Analyzing charts using DeMark Sequential and Murray-Gann levels
Analyzing charts using DeMark Sequential and Murray-Gann levels

Analyzing charts using DeMark Sequential and Murray-Gann levels

Thomas DeMark Sequential is good at showing balance changes in the price movement. This is especially evident if we combine its signals with a level indicator, for example, Murray levels. The article is intended mostly for beginners and those who still cannot find their "Grail". I will also display some features of building levels that I have not seen on other forums. So, the article will probably be useful for advanced traders as well... Suggestions and reasonable criticism are welcome...
Testing patterns that arise when trading currency pair baskets. Part I
Testing patterns that arise when trading currency pair baskets. Part I

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.
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Learn how to design a trading system by MFI

Learn how to design a trading system by MFI

The new article from our series about designing a trading system based on the most popular technical indicators considers a new technical indicator - the Money Flow Index (MFI). We will learn it in detail and develop a simple trading system by means of MQL5 to execute it in MetaTrader 5.
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Risk and capital management using Expert Advisors

Risk and capital management using Expert Advisors

This article is about what you can not see in a backtest report, what you should expect using automated trading software, how to manage your money if you are using expert advisors, and how to cover a significant loss to remain in the trading activity when you are using automated procedures.
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Automating Trading Strategies in MQL5 (Part 9): Building an Expert Advisor for the Asian Breakout Strategy

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.
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Trade Events in MetaTrader 5

Trade Events in MetaTrader 5

A monitoring of the current state of a trade account implies controlling open positions and orders. Before a trade signal becomes a deal, it should be sent from the client terminal as a request to the trade server, where it will be placed in the order queue awaiting to be processed. Accepting of a request by the trade server, deleting it as it expires or conducting a deal on its basis - all those actions are followed by trade events; and the trade server informs the terminal about them.
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Creating an EA that works automatically (Part 02): Getting started with the code

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.
Money Management Revisited
Money Management Revisited

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.
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Creating a comprehensive Owl trading strategy

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.