Articles on the MQL5 programming and use of trading robots

A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.

Buying a trading robot on MQL5 Market has a distinct benefit over all other similar options - an automated system offered can be thoroughly tested directly in the MetaTrader 5 terminal. Before buying, an Expert Advisor can and should be carefully run in all unfavorable modes in the built-in Strategy Tester to get a complete grasp of the system.

The Expert Advisors programming in MQL5 is simple, and you can learn it easy. In this step by step guide, you will see the basic steps required in writing a simple Expert Advisor based on a developed trading strategy. The structure of an Expert Advisor, the use of built-in technical indicators and trading functions, the details of the Debug mode and use of the Strategy Tester are presented.

Almost all traders come to market to make money but some traders also enjoy the process itself. However, it is not only manual trading that can provide you with an exciting experience. Automated trading systems development can also be quite absorbing. Creating a trading robot can be as interesting as reading a good mystery novel.

"Freelance" is the largest freelance service for ordering MQL4/MQL5 trading robots and technical indicators. Hundreds of professional developers are ready to develop a custom trading application for the MetaTrader 4/5 terminal.

This article describes a process of creating an Expert Advisor for MetaTrader 4 based on the Engulfing pattern, as well as the pattern recognition principle, rules of setting pending orders and stop orders. The results of testing and optimization are provided for your information.

How to write correctly the Requirement Specifications? What should and should not be expected from a programmer when ordering an Expert Advisor or an indicator? How to keep a dialog, what moments to pay special attention to? This article gives the answers to these, as well as to many other questions, which often don't seem obvious to many people.

Comprehensive data processing requires extensive tools and is often beyond the sandbox of one single application. Specialized programming languages are used for processing and analyzing data, statistics and machine learning. One of the leading programming languages for data processing is Python. The article provides a description of how to connect MetaTrader 5 and Python using sockets, as well as how to receive quotes via the terminal API.

The article describes the development of a MetaTrader 4 Expert Advisor based on the Inside Bar strategy, including Inside Bar detection principles, as well as pending and stop order setting rules. Test and optimization results are provided as well.

Before any product is published in the Market, it must undergo compulsory preliminary checks in order to ensure a uniform quality standard. This article considers the most frequent errors made by developers in their technical indicators and trading robots. An also shows how to self-test a product before sending it to the Market.

MQL5.community Market provides Expert Advisors developers with the already formed market consisting of thousands of potential customers. This is the best place for selling trading robots and technical indicators!

This article shows how price action and the monitoring of support and resistance levels can be used for well-timed market entry. It discusses a trading system that effectively combines the two for the determination of trade setups. Corresponding MQL4 code is explained that can be utilized in the EAs based on these trading concepts.

The basic rule of trader - let profit to grow, cut off losses! This article considers one of the basic techniques, allowing to follow this rule - moving the protective stop level (Stop loss level) after increasing position profit, i.e. - Trailing Stop level. You'll find the step by step procedure to create a class for trailing stop on SAR and NRTR indicators. Everyone will be able to insert this trailing stop into their experts or use it independently to control positions in their accounts.

The article considers the ideology and methodology of building a recommendatory system for time-efficient trading by combining the capabilities of forecasting with the singular spectrum analysis (SSA) and important machine learning method on the basis of Bayes' Theorem.

This article takes us to a whole new direction in developing EAs, indicators and scripts in MQL4 and MQL5. In the future, this programming paradigm will gradually become the base standard for all traders in implementation of EAs. Using the automata-based programming paradigm, the MQL5 and MetaTrader 5 developers will be anywhere near being able to create a new language - MQL6 - and a new platform - MetaTrader 6.

Hello dear reader! In this article, I will try to explain and show you how you can easily and quickly get the hang of the principles of creating Expert Advisors, working with indicators, etc. It is beginner-oriented and will not feature any difficult or abstruse examples.

This article describes the implementation of a self-optimization mechanism under MetaTrader 5.

Do you want to try out a trading strategy while wasting no time for programming? In MQL5 Wizard you can simply select the type of trading signals, add modules of trailing positions and money management - and your work is done! Create your own implementations of modules or order them via the Jobs service - and combine your new modules with existing ones.

The reasons for moving an indicator code to an Expert Advisor may vary. How to assess the pros and cons of this approach? The article describes implementing an indicator code into an EA. Several experiments are conducted to assess the speed of the EA's operation.

The principles of MQL4-programs development are shown on sample of creating a simple Expert Advisor system based on the standard MACD indicator.

This article is dedicated to a new and perspective direction in machine learning - deep learning or, to be precise, deep neural networks. This is a brief review of second generation neural networks, the architecture of their connections and main types, methods and rules of learning and their main disadvantages followed by the history of the third generation neural network development, their main types, peculiarities and training methods. Conducted are practical experiments on building and training a deep neural network initiated by the weights of a stacked autoencoder with real data. All the stages from selecting input data to metric derivation are discussed in detail. The last part of the article contains a software implementation of a deep neural network in an Expert Advisor with a built-in indicator based on MQL4/R.

This article presents a visual strategy builder. It is shown how any user can create trading robots and utilities without programming. Created Expert Advisors are fully functional and can be tested in the strategy tester, optimized in the cloud or executed live on real time charts.

A logically complete market theory that would cover all types and varieties of markets for goods and services, micro and macro markets like Forex, hasn't been available until now. This article covers the essence of a new market theory based on the profit analysis, reveals patterns of the current price change and the principle of the mechanism operation that allows the price to find its most optimal value by forming a chain of virtual prices that can develop the controlling influence on the actual price. Mechanisms of formation and change of market trends are also identified here.

Trading in financial markets is associated with a whole range of risks that should be taken into account in the algorithms of trading systems. Reducing such risks is the most important task to make a profit when trading.

MQL5 programming language is capable of solving problems on a brand new level. Even those tasks, that already have such solutions, thanks to object oriented programming can rise to a higher level. In this article we take a specially simple example of checking new bar on a chart, that was transformed into rather powerful and versatile tool. What tool? Find out in this article.

Nowadays, every trader must have heard of neural networks and knows how cool it is to use them. The majority believes that those who can deal with neural networks are some kind of superhuman. In this article, I will try to explain to you the neural network architecture, describe its applications and show examples of practical use.

The article deals with the problem of conflict-free trading of several experts on the same МТ 4 Client Terminal. It "teaches" the expert to manage only "its own" orders without modifying or closing "someone else's" positions (opened manually or by other experts). The article was written for users who have basic skills of working with the terminal and programming in MQL 4.

The purpose of this article is to create the most simple trading strategy that implements the "All or Nothing" gaming principle. We don't want to create a profitable Expert Advisor - the goal is to increase the initial deposit several times with the highest possible probability. Is it possible to hit the jackpot on ForEx or lose everything without knowing anything about technical analysis and without using any indicators?

Members of the official MetaTrader Freelance service have completed more than 50,000 orders as at October 2018. This is the world's largest Freelance site for MQL programmers: more than a thousand developers, dozens of new orders daily and 7 languages localization.

In order to obtain values of a built-in or custom indicator in an Expert Advisor, first its handle should be created using the corresponding function. Examples in the article show how to use this or that technical indicator while creating your own programs. The article describes indicators that are built n the MQL5 language. It is intended for those who don't have much experience in the development of trading strategies and offers simple and clear ways of working with indicators using the offered library of functions.

Price trends form price channels that can be observed on financial symbol charts. The breakout of the current channel is one of the strong trend reversal signals. In this article, I suggest a way to automate the process of finding such signals and see if the channel breakout pattern can be used for creating a trading strategy.

This article covers the main principles set fourth in evolutionary algorithms, their variety and features. We will conduct an experiment with a simple Expert Advisor used as an example to show how our trading system benefits from optimization. We will consider software programs that implement genetic, evolutionary and other types of optimization, and provide examples of application when optimizing a predictor set and parameters of the trading system.

The article deals with the concept of night trading, as well as trading strategies and their implementation in MQL5. We perform tests and make appropriate conclusions.

The largest store of ready-made applications for algo-trading now features 13,970 products. This includes 4,800 robots, 6,500 indicators, 2,400 utilities and other solutions. Almost half of the applications (6,000) are available for rent. Also, a quarter of the total number of products (3,800) can be downloaded for free.

The article dwells on the development of an application for selecting the best optimization passes using several possible options. The application is able to sort out the optimization results by a variety of factors. Optimization passes are always written to a database, therefore you can always select new robot parameters without re-optimization. Besides, you are able to see all optimization passes on a single chart, calculate parametric VaR ratios and build the graph of the normal distribution of passes and trading results of a certain ratio set. Besides, the graphs of some calculated ratios are built dynamically beginning with the optimization start (or from a selected date to another selected date).

The article provides a brief overview of ten trend following strategies, as well as their testing results and comparative analysis. Based on the obtained results, we draw a general conclusion about the appropriateness, advantages and disadvantages of trend following trading.

Is it possible to develop an Expert Advisor able to optimize position open and close conditions at regular intervals according to the code commands? What happens if we implement a neural network (multilayer perceptron) in the form of a module to analyze history and provide strategy? We can make the EA optimize a neural network monthly (weekly, daily or hourly) and continue its work afterwards. Thus, we can develop a self-optimizing EA.

In this article, I would like to give an example of what a trader's program can be like as well as what results can be achieved in 9 months, having started to learn MQL5 from scratch. This example will also show how multi-functional and informative such a program can be for a trader while taking minimum space on the price chart. And we will be able to see just how colorful, bright and intuitively clear to the user trade information panels can get. As well as many other features...

This article is a continuation of previous articles on deep neural network and predictor selection. Here we will cover features of a neural network initiated by Stacked RBM, and its implementation in the "darch" package.

The article is based on 'The Mathematics of Money Management' by Ralph Vince. It provides the description of empirical and parametric methods used for finding the optimal size of a trading lot. Also the article features implementation of trading modules for the MQL5 Wizard based on these methods.