Metatrader 5 / Metatrader 4 for MQL5 / MQL4 articles preview

Table of Contents

1. Introduction
2. Installation
3. Binary Options strategy example
3.1. Define Binary Options strategy
3.2. Create Binary Options strategy
3.2.1. Input parameters
3.2.2. Include Binary-Options-Strategy-Library
3.2.3. Add CallStrategy()
3.2.4. Implement CheckMyRules() and helper-function
3.2.5. Print out debug values
3.2.6. Use of external Indicators (ex4 files)
3.3. The complete code
4. Run a backtest (video)
5. Run a forward test
6. FAQ
7. Miscellaneous
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MQL5 vs QLUA - Why trading operations in MQL5 are up to 28 times faster?

Have you ever wondered how quickly your order is delivered to the exchange, how fast it is executed, and how much time your terminal needs in order to receive the operation result?

Histograms allow researchers to visually evaluate the distribution of statistical data grouped by the frequency of their penetration into a certain (predetermined) interval.Histograms and their use in the statistical data analysis are a well-studied topic with multiple articles devoted to it [1, 2, 3, 4, 5, 6, 7] and a large number of CodeBase examples [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]. However, applied algorithms are based on using indicator buffers or arrays. In this article, we consider the possibility of building statistical distributions of different market characteristics without complicated calculations, sorting, sampling, etc. In order to achieve this, we will use the "graphical" memory — the section storing the properties of graphical objects. Since we need graphical objects when plotting custom histograms, we can use their "hidden" abilities and rich functionality to full capacity.

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mql5 book:

English: https://www.mql5.com/files/pdf/mql5.pdf
Portuguese: https://www.mql5.com/files/pdf/mql5_portuguese.pdf

Introduction

My previous article on trading currency baskets dwelt on its basic principles, approaches and terminology. Of course, this is not enough for successfully following this complex method. Understanding entry and exit conditions, as well as signals remains crucial. In other words, we need descriptions of the currently known patterns that can significantly increase the profitability. This will be the objective of the article — provide traders with a detailed description of the patterns formed when working with currency baskets. We are going to apply terminology as well as the descriptions of baskets and technical tools similar to the ones in the previous articles. We are also going to apply the combined Williams’ Percent Range (WPR) indicators to analyze currency basket status.

Let's characterize this indicator briefly. The parent WPR values change from 0% to -100%. This range is not suitable for us for the reasons provided below. The range of values from 100% to -100% with the transition through zero is required to display all patterns correctly. This change can easily be taken into account in the indicator code. Besides, we assume that existing oversold/overbought levels for the parent indicator remain relevant for the combined one, thus we are going to use them actively.

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Contents

• Introduction
• The Time Control
• Class for creating the Time control
• The List of checkboxes Control
• Class for creating the List of checkboxes control
• Table sorting
• Other library updates
• Application for testing the controls
• Conclusion

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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 that 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.

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Many popular trading strategies are based on the use of different graphical patterns: head and shoulders, double top/double bottom and others. Some strategies also analyze the divergence of extreme points on the charts. When automating such trading systems, the necessity arises to find, process and interpret peaks and bottoms on charts. Existing tools do not always allow us to find extreme points according to the established criteria. The article presents efficient algorithms and program solutions for finding and processing extreme points on price charts depending on a price variation.

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Mathematics in Trading: How to Estimate Trade Results

A certain level of mathematical background is required of any trader, and this statement needs no proof. The matter is only: How can we define this minimum required level? In growth of his or her trading experience, trader often widens his or her outlook "single-handed", reading posts on forums or various books. Some books require lower level of mathematical background of readers, some, on the contrary, inspire one to study or brush up one's knowledge in one field of pure sciences or another. We will try to give some estimates and their interpretations in this single article.

Traders are well familiar with the WebTerminal, which allows trading on financial markets straight from the browser.

Add the WebTerminal widget to your website — you can do it absolutely free. This powerful functionality will enable your site visitors to trade using the most popular MetaTrader 5 and MetaTrader 4 platforms straight from your website!


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