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To avoid critical completion of programs, the previous version compiler handled many errors in the runtime environment. For example, division by zero or array out of range are critical errors and usually lead to program crash. The new compiler can detect actual or potential sources of errors and improve code quality. In this article, we discuss possible errors that can be detected during compilation of old programs and see how to fix them.
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.
General principles of considering orders in a large and complex program are discussed.
Examined are the most frequent mistakes that lead the first-time programmers to creation of a "super-moneymaking" (when tested) trading systems. Exemplary experts that show fantastic results in tester, but result in losses during real trading are presented.
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.
Everyone starting to work in Forex tries to answer these questions. But not everyone finds the answer, even after many years of hard work and search. I personally have answered this question, as well as many other questions of this article. As a result of these answers a way of creating an efficient trading strategy was determined.
The article describes an algorithm of volume increase of a profit trade. Its implementation using MQL4 means is presented in the article.
The article deals with various ways of how to control open positions and pending orders. It is devoted to simplifying of writing Expert Advisors.
This sequence of articles is intended for traders, who know nothing about programming, but have a desire to learn MQL4 language as quick as possible with minimal time and effort inputs. If you are afraid of such phrases as "object orientation" or "three dimensional arrays", this article is what you need. The lessons are designed for the maximally quick result. Moreover, the information is delivered in a comprehensible manner. We shall not go too deep into the theory, but you will gain the practical benefit already from the first lesson.
This is the second article from the series "MQL4 Language for Newbies". Now we will examine more complex and advanced constructions of the language, learn new options and see, how they can be applied in everyday practice. You will get acquainted with a new cycle type 'while', new condition type 'switch', operators 'break' and 'continue'. Besides you will learn to write your own functions and work with multidimensional arrays. And for a dessert I have prepared an explanation about a preprocessor.
This article is the first in a series of articles on manual trading automation in the МetaТrader 4 trading platform. Each of the articles will be devoted to one of the following aspects: automation of manual trading, current state of trade display automation and automation of reports on trade results. In this article, I will present an interesting approach to creating EA's controlled manually by a trader.
How independent are currency quotes? Are their movements coordinated or does the movement of one currency suggest nothing of the movement of another? The article describes an effort to tackle this issue using nonlinear dynamics and fractal geometry methods.
The first demonstration of testing results of a strategy based on 0.1 lot is becoming a standard de facto in the Forum. Having received "not so bad" from professionals, a beginner sees that "0.1" testing brings rather modest results and decides to introduce an aggressive money management thinking that positive mathematic expectation automatically provides positive results. Let's see what results can be achieved. Together with that we will try to construct several artificial balance graphs that are very instructive.