Articles on trading system automation in MQL5

The MetaTrader 5 platform allows developing and testing trading robots that simultaneously trade multiple financial instruments. The built-in Strategy Tester automatically downloads required tick history from the broker's server taking into account contract specifications, so the developer does not need to do anything manually. This makes it possible to easily and reliably reproduce trading environment conditions, including even millisecond intervals between the arrival of ticks on different symbols. In this article we will demonstrate the development and testing of a spread strategy on two Moscow Exchange futures.

Following up our previous article on the currency baskets trading principles, here we are going to analyze the patterns traders can detect. We will also consider the advantages and the drawbacks of each pattern and provide some recommendations on their use. The indicators based on Williams' oscillator will be used as analysis tools.

The article describes the development of tools (indicator and Expert Advisor) for analyzing the '80-20' trading strategy. The trading strategy rules are taken from the work "Street Smarts. High Probability Short-Term Trading Strategies" by Linda Raschke and Laurence Connors. We are going to formalize the strategy rules using the MQL5 language and test the strategy-based indicator and EA on the recent market history.

The article features formalized rules of two trading strategies 'Turtle Soup' and 'Turtle Soup Plus One' from Street Smarts: High Probability Short-Term Trading Strategies by Linda Bradford Raschke and Laurence A. Connors. The strategies described in the book are quite popular. But it is important to understand that the authors have developed them based on the 15...20 year old market behavior.

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.

Subscribers often search for an appropriate signal by analyzing the total growth on the signal provider's account, which is not a bad idea. However, it is also important to analyze potential risks of a particular trading strategy. In this article we will show a simple and efficient way to evaluate a Trading Signal based on its performance values.

The article reveals the portfolio trading principles and their application to Forex market. A few simple mathematical portfolio arrangement models are considered. The article contains examples of practical implementation of the portfolio trading in MetaTrader 4: portfolio indicator and Expert Advisor for semi-automated trading. The elements of trading strategies, as well as their advantages and pitfalls are described.

Analysis of the trade history and plotting distribution charts of trading results in HTML depending on position entry time. The charts are displayed in three sections - by hours, by days of the week and by months.

Scalping automatic systems are rightfully regarded the pinnacle of algorithmic trading, but at the same time their code is the most difficult to write. In this article we will show how to build strategies based on analysis of incoming ticks using the built-in debugging tools and visual testing. Developing rules for entry and exit often require years of manual trading. But with the help of MetaTrader 5, you can quickly test any such strategy on real history.

Profitability of trading systems is defined not only by logic and precision of analyzing the financial instrument dynamics, but also by the quality of the performance algorithm of this logic. False trigger is typical for low quality performance of the main logic of a trading robot. Ways of solving the specified problem are considered in this article.

The article provides the results of testing a simple trading strategy in three modes: "1 minute OHLC", "Every tick" and "Every tick based on real ticks" using actual historical data.

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.

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.

This article explores the effectiveness of complex trading systems by analyzing the efficiency of its individual components. Any analysis, whether it is graphic, based on indicators, or any other, is one of the key components of successful trading in financial markets. This article is to some extent a research of few simple and independent trading systems for analyzing their effectiveness and usefulness of the joint application.

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.

In this article, we will continue analyzing the algorithms of the CStrategy trading engine. The third part of the series contains the detailed analysis of examples of how to develop specific trading strategies using this approach. Special attention is paid to auxiliary algorithms — Expert Advisor logging system and data access using a conventional indexer (Close[1], Open[0] etc.)

In order to expand possibilities of retail Forex traders, we have added the second accounting system — hedging. Now, it is possible to have multiple positions per symbol, including oppositely directed ones. This paves the way to implementing trading strategies based on the so-called "locking" — if the price moves against a trader, they can open a position in the opposite direction.

This article continues the series of publications on a universal Expert Advisor model. This part describes in detail the original event model based on centralized data processing, and considers the structure of the CStrategy base class of the engine.

The "area method" trading system works based on unusual interpretation of the RSI oscillator readings. The indicator that visualizes the area method, and the Expert Advisor that trades using this system are detailed here. The article is also supplemented with detailed findings of testing the Expert Advisor for various symbols, time frames and values of the area.

Any Expert Advisor developer, regardless of programming skills, is daily confronted with the same trading tasks and algorithmic problems, which should be solved to organize a reliable trading process. The article describes the possibilities of the CStrategy trading engine that can undertake the solution of these tasks and provide a user with convenient mechanism for describing a custom trading idea.

This article suggests the ways of improving manual trading strategy by applying fuzzy set theory. As an example we have provided a step-by-step description of the strategy search and the selection of its parameters, followed by fuzzy logic application to blur overly formal criteria for the market entry. This way, after strategy modification we obtain flexible conditions for opening a position that has a reasonable reaction to a market situation.

The article describes the rules of the trading system by Bill Williams, the procedure of application for a developed MQL5 module to search and mark patterns of this system on the chart, automated trading with found patterns, and also presents the results of testing on various trading instruments.

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.

The article regards spindle chart plotting and its usage in trading strategies and experts. First let's discuss the chart's appearance, plotting and connection with japanese candlestick chart. Next we analyze the indicator's implementation in the source code in the MQL5 language. Let's test the expert based on indicator and formulate the trading strategy.

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.

This article provides an answer to the question: "Is it possible to formulate an automated trading strategy based on history data with neural networks?".

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.

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 article describes the automation of trend lines plotting based on the Fractals indicator using MQL4 and MQL5. The article structure provides a comparative view of the solution for two languages. Trend lines are plotted using two last known fractals.

The article provides a review of an idea based on the analysis of prices' movement direction and their speed. We have performed its formalization in the MQL4 language presented as an expert advisor to explore viability of the strategy being under consideration. We also determine the best parameters via check, examination and optimization of an example given in the article.

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.

This article explains the idea of multi-mode trading robot programming in MQL5. Every mode is implemented with the object-oriented approach. Instances of both mode classes hierarchy and classes for testing are provided. Multi-mode programming of trading robots is supposed to take into account all peculiarities of every operational mode of an EA written in MQL5. Functions and enumeration are created for identifying the mode.

This article considers using the Rattle package for automatic search of patterns for predicting long and short positions of currency pairs on Forex. This article can be useful both for novice and experienced traders.

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.

The Virtual Hosting Cloud network was developed specially for MetaTrader 4 and MetaTrader 5 and has all the advantages of a native solution. Get the benefit of our free 24 hours offer - test out a virtual server right now.

This article is dedicated to the Three Line Break chart, suggested by Steve Nison in his book "Beyond Candlesticks". The greatest advantage of this chart is that it allows filtering minor fluctuations of a price in relation to the previous movement. We are going to discuss the principle of the chart construction, the code of the indicator and some examples of trading strategies based on it.

We continue to enhance the Signals service, improve the mechanisms, add new functions and fix flaws. The MetaTrader Signals Service of 2012 and the current MetaTrader Signals Service are like two completely different services. Currently, we are implementing A Virtual Hosting Cloud service which consists of a network of servers to support specific versions of the MetaTrader client terminal.

Developers of trading robots no longer need to market their services to traders that require Expert Advisors - as now they will find you. Already, thousands of traders place orders to MQL5 freelance developers, and pay for work in on MQL5.com. For 4 years, this service facilitated three thousand traders to pay for more than 10 000 jobs performed. And the activity of traders and developers is constantly growing!

Let's now shape the PHP-based Twitter idea which was introduced in the first part of this article. We are assembling the different parts of the SDSS. Regarding the client side of the system architecture, we are relying on the new MQL5 WebRequest() function for sending trading signals via HTTP.

Let us reveal a little secret: MQL5.com website visitors spend most of their time on Johnpaul77 signal's page. It is a leader of our signal rating having about 900 subscribers with the total funds of $5.7 million on real accounts. We have interviewed the signal's providers. As it turned out, there are four of them! How are duties distributed among the team members? What technical tools do they use? Why do they call themselves John Paul? And finally, how have common gamers from Indonesia become providers of the top signal on MQL5.com? Find out all that in the article.