Articles on trading system automation in MQL4

The article deals with evaluating the performance of Signals Providers. We offer several additional parameters highlighting signal trading results from a slightly different angle than in traditional approaches. The concepts of the proper management and perfect deal are described. We also dwell on the optimal selection using the obtained results and compiling the portfolio of multiple signal sources.

In this article, we discuss the method of trading analysis by measuring angles in the MetaTrader 4 terminal. The article provides a general plan of using angles for trend movement analysis, as well as non-standard ways to the practical application of angle analysis in trading. The article also provides conclusions that can be useful for trading.

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.

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.

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.

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.

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 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.

In this article, the author continues to familiarize the readers with the Lite_EXPERT2.mqh functions using real Expert Advisor implementation examples. The article deals with the idea of using floating pending orders and pending orders that vary dynamically from deal to deal which are determined based on Average True Range (ATR) indicator values.

This article continues the series of articles "Expert Advisors Based on Popular Trading Systems and Alchemy of Trading Robot Optimization". It familiarizes the readers with a more universal function library of the Lite_EXPERT2.mqh file.

The article covers the peculiarities of night flat trading on cross currency pairs. It explains where you can expect profits and why great losses are not unlikely. The article also features an example of the Expert Advisor developed for night trading and talks about the practical application of this strategy.

Let me offer you an overview and the program code of the mechanical trading system based on ideas of Stanislav Chuvashov. Triangle's construction is based on the intersection of two trend lines built by the upper and lower fractals.

In order to make profits based on high expectations, we must understand three basic principles of good trading: 1) know your risk when entering the market; 2) cut your losses early and allow your profit to run; 3) know the expectation of your system – test and adjust it regularly. This article provides a program code trailing open positions and actualizing the second golden principle, as it allows profit to run for the highest possible level.

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.

This article draws your attention to the brief review of the method and program code of the mechanical trading system based on the technique proposed by Stanislav Chuvashov. The market analysis considered in the article has something in common with Thomas DeMark's approach to drawing trend lines for the last closest time interval, fractals being the reference points in the construction of trend lines.

The article focuses on one-step-ahead forecasting for EURUSD using EViews software and a further evaluation of forecasting results using the programs in EViews. The forecast involves regression models and is evaluated by means of an Expert Advisor developed for MetaTrader 4.

The article demonstrates the capabilities and potential of a well-known mathematical method coupled with visual thinking and an "out of the box" market outlook. On the one hand, it serves to attract the attention of a wide audience as it can get the creative minds to reconsider the trading paradigm as such. And on the other, it can give rise to alternative developments and program code implementations regarding a wide range of tools for analysis and forecasting.

There is no trouble finding the Holy Grail of testing, it is however much more difficult to get rid of it. This article addresses the selection of the Expert Advisor operating parameters with automated group processing of optimisation and testing results upon maximum utilisation of the Terminal performance capabilities and minimum end user load.

Using virtual trading, you can create an adaptive Expert Advisor, which will turn on and off trades at the real market. Combine several strategies in a single Expert Advisor! Your multisystem Expert Advisor will automatically choose a trade strategy, which is the best to trade with at the real market, on the basis of profitability of virtual trades. This kind of approach allows decreasing drawdown and increasing profitability of your work at the market. Experiment and share your results with others! I think many people will be interested to know about your portfolio of strategies.

Is it possible to predict the behavior of the market for a short upcoming interval of time, based on the recurring tendencies of candle directions, at specific times throughout the day? That is, If such an occurrence is found in the first place. This question has probably arisen in the mind of every trader. The purpose of this article is to attempt to predict the behavior of the market, based on the statistical recurrences of candle directions during specific intervals of time.

Most of the automated trading systems developers use some form of trading signals filtration. In this article, we explore the creation and implementation of bandpass and discrete filters for Expert Advisors, to improve the characteristics of the automated trading system.

In this article we will check the well-known statement that "The whole day trading depends on how the Asian session is traded".

This article shows you how to easily use Neural Networks in your MQL4 code taking advantage of best freely available artificial neural network library (FANN) employing multiple neural networks in your code.

In this article, the author proposes the way of improving trading systems presented in his previous articles. The article is of interest for traders already having experiences in writing Expert Advisors.

In this article, the author gives an example Expert Advisor meeting the requirements stated in the Rules of the Automated Trading Championship 2008

A trading strategy using hedging system created for trading the intra-day style of GBPJPY / EURJPY and for daily trading.

Surely, a fey thought to trade closely to extremums visited every apprentice trader when he/she saw "enigmatic" polyline for the first time. It's so simple, indeed. Here is the maximum. And there is the minimum. A beautiful picture on the history. And what is in practice? A ray is drawn. It should seem, that is it, the peak! It is time to sell. And now we go down. But hell no! The price is treacherously moving upwards. Haw! It's a trifle, not an indicator. And you throw it out!

Automated Trading Championship based on online trading platform MetaTrader 4 is being conducted for the third time and accepted by many people as a matter-of-course yearly event being waited for with impatience. However, this competition specifies strict requirements to the Participants. This is precisely the topic we're going to discuss in this article.

The main purpose of the Championship is to popularize automated trading and accumulate practical information in this field of knowledge. As the Organizer of the Championship, we are doing our best to provide a fair competition and suppress all attempts to “play booty”. It is this reasoning that sets the strict Rules of the Championship.

About an obvious but still substandard method of ZigZag composition, and what it results in: the Multiframe Fractal ZigZag indicator that represents ZigZags built on three larger ons, on a single working timeframe (TF). In their turn, those larger TFs may be non-standard, too, and range from M5 to MN1.

In this article the author offers ways to improve trading systems described in his previous articles. The article will be interesting for traders that already have some experience of writing Expert Advisors.

In this article the author continues to analyze implementation algorithms of simplest trading systems and introduces recording of optimization results in backtesting into one html file in the form of a table. The article will be useful for beginning traders and EA writers.

In this article the author continues to analyze implementation algorithms of simplest trading systems and introduces backtesting automation. The article will be useful for beginning traders and EA writers.

In this article the author continues to analyze implementation algorithms of simplest trading systems and describes some relevant details of using optimization results. The article will be useful for beginning traders and EA writers.

This article dwells on implementation algorithm of simplest trading systems. The article will be useful for beginning traders and EA writers.

Time based pattern analysis can be used in the currency market to determine a better time to enter a trade or time in which trading should be avoided at all. Here we use MetaTrader 4 to analyze history market data and produce optimization results that can be useful for application in mechanical trading systems.