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How to reduce trader's risks
How to reduce trader's risks
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.
The Player of Trading Based on Deal History
The Player of Trading Based on Deal History
The player of trading. Only four words, no explanation is needed. Thoughts about a small box with buttons come to your mind. Press one button - it plays, move the lever - the playback speed changes. In reality, it is pretty similar. In this article, I want to show my development that plays trade history almost like it is in real time. The article covers some nuances of OOP, working with indicators and managing charts.
MetaTrader 5 features hedging position accounting system
MetaTrader 5 features hedging position accounting system
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.
How to Make a Trading Robot in No Time
How to Make a Trading Robot in No Time
Trading on financial markets involves many risks including the most critical one - the risk of making a wrong trading decision. The dream of every trader is to find a trading robot, which is always in good shape and not subject to human weaknesses - fear, greed and impatience.
The checks a trading robot must pass before publication in the Market
The checks a trading robot must pass before publication in the Market
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 Cookbook: Implementing Your Own Depth of Market
MQL5 Cookbook: Implementing Your Own Depth of Market
This article demonstrates how to utilize Depth of Market (DOM) programmatically and describes the operation principle of CMarketBook class, that can expand the Standard Library of MQL5 classes and offer convenient methods of using DOM.
Limitless Opportunities with MetaTrader 5 and MQL5
Limitless Opportunities with MetaTrader 5 and MQL5
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...
Creating Custom Criteria of Optimization of Expert Advisors
Creating Custom Criteria of Optimization of Expert Advisors
The MetaTrader 5 Client Terminal offers a wide range of opportunities for optimization of Expert Advisor parameters. In addition to the optimization criteria included in the strategy tester, developers are given the opportunity of creating their own criteria. This leads to an almost limitless number of possibilities of testing and optimizing of Expert Advisors. The article describes practical ways of creating such criteria - both complex and simple ones.
A Few Tips for First-Time Customers
A Few Tips for First-Time Customers
A proverbial wisdom often attributed to various famous people says: "He who makes no mistakes never makes anything." Unless you consider idleness itself a mistake, this statement is hard to argue with. But you can always analyze the past mistakes (your own and of others) to minimize the number of your future mistakes. We are going to attempt to review possible situations arising when executing jobs in the same-name service.
Orders, Positions and Deals in MetaTrader 5
Orders, Positions and Deals in MetaTrader 5
Creating a robust trading robot cannot be done without an understanding of the mechanisms of the MetaTrader 5 trading system. The client terminal receives the information about the positions, orders, and deals from the trading server. To handle this data properly using the MQL5, it's necessary to have a good understanding of the interaction between the MQL5-program and the client terminal.
MQL5 Wizard: New Version
MQL5 Wizard: New Version
The article contains descriptions of the new features available in the updated MQL5 Wizard. The modified architecture of signals allow creating trading robots based on the combination of various market patterns. The example contained in the article explains the procedure of interactive creation of an Expert Advisor.
How to Prepare a Trading Account for Migration to Virtual Hosting
How to Prepare a Trading Account for Migration to Virtual Hosting
MetaTrader client terminal is perfect for automating trading strategies. It has all tools necessary for trading robot developers ‒ powerful C++ based MQL4/MQL5 programming language, convenient MetaEditor development environment and multi-threaded strategy tester that supports distributed computing in MQL5 Cloud Network. In this article, you will find out how to move your client terminal to the virtual environment with all custom elements.
Trade Events in MetaTrader 5
Trade Events in MetaTrader 5
A monitoring of the current state of a trade account implies controlling open positions and orders. Before a trade signal becomes a deal, it should be sent from the client terminal as a request to the trade server, where it will be placed in the order queue awaiting to be processed. Accepting of a request by the trade server, deleting it as it expires or conducting a deal on its basis - all those actions are followed by trade events; and the trade server informs the terminal about them.
Order Strategies. Multi-Purpose Expert Advisor
Order Strategies. Multi-Purpose Expert Advisor
This article centers around strategies that actively use pending orders, a metalanguage that can be created to formally describe such strategies and the use of a multi-purpose Expert Advisor whose operation is based on those descriptions
Testing patterns that arise when trading currency pair baskets. Part II
Testing patterns that arise when trading currency pair baskets. Part II
We continue testing the patterns and trying the methods described in the articles about trading currency pair baskets. Let's consider in practice, whether it is possible to use the patterns of the combined WPR graph crossing the moving average. If the answer is yes, we should consider the appropriate usage methods.
Elder-Ray (Bulls Power and Bears Power)
Elder-Ray (Bulls Power and Bears Power)
The article dwells on Elder-Ray trading system based on Bulls Power, Bears Power and Moving Average indicators (EMA — exponential averaging). This system was described by Alexander Elder in his book "Trading for a Living".
SQLite: Native handling of SQL databases in MQL5
SQLite: Native handling of SQL databases in MQL5
The development of trading strategies is associated with handling large amounts of data. Now, you are able to work with databases using SQL queries based on SQLite directly in MQL5. An important feature of this engine is that the entire database is placed in a single file located on a user's PC.
14,000 trading robots in the MetaTrader Market
14,000 trading robots in the MetaTrader Market
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.
Exploring Seasonal Patterns of Financial Time Series with Boxplot
Exploring Seasonal Patterns of Financial Time Series with Boxplot
In this article we will view seasonal characteristics of financial time series using Boxplot diagrams. Each separate boxplot (or box-and-whiskey diagram) provides a good visualization of how values are distributed along the dataset. Boxplots should not be confused with the candlestick charts, although they can be visually similar.
Extending Strategy Builder Functionality
Extending Strategy Builder Functionality
In the previous two articles, we discussed the application of Merrill patterns to various data types. An application was developed to test the presented ideas. In this article, we will continue working with the Strategy Builder, to improve its efficiency and to implement new features and capabilities.
Strategy builder based on Merrill patterns
Strategy builder based on Merrill patterns
In the previous article, we considered application of Merrill patterns to various data, such as to a price value on a currency symbol chart and values of standard MetaTrader 5 indicators: ATR, WPR, CCI, RSI, among others. Now, let us try to create a strategy construction set based on Merrill patterns.
Arranging a mailing campaign by means of Google services
Arranging a mailing campaign by means of Google services
A trader may want to arrange a mailing campaign to maintain business relationships with other traders, subscribers, clients or friends. Besides, there may be a necessity to send screenshotas, logs or reports. These may not be the most frequently arising tasks but having such a feature is clearly an advantage. The article deals with using several Google services simultaneously, developing an appropriate assembly on C# and integrating it with MQL tools.
Grokking market "memory" through differentiation and entropy analysis
Grokking market "memory" through differentiation and entropy analysis
The scope of use of fractional differentiation is wide enough. For example, a differentiated series is usually input into machine learning algorithms. The problem is that it is necessary to display new data in accordance with the available history, which the machine learning model can recognize. In this article we will consider an original approach to time series differentiation. The article additionally contains an example of a self optimizing trading system based on a received differentiated series.
Applying OLAP in trading (part 2): Visualizing the interactive multidimensional data analysis results
Applying OLAP in trading (part 2): Visualizing the interactive multidimensional data analysis results
In this article, we consider the creation of an interactive graphical interface for an MQL program, which is designed for the processing of account history and trading reports using OLAP techniques. To obtain a visual result, we will use maximizable and scalable windows, an adaptive layout of rubber controls and a new control for displaying diagrams. To provide the visualization functionality, we will implement a GUI with the selection of variables along coordinate axes, as well as with the selection of aggregate functions, diagram types and sorting options.
MetaTrader 5 and Python integration: receiving and sending data
MetaTrader 5 and Python integration: receiving and sending data
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 power of ZigZag (part II). Examples of receiving, processing and displaying data
The power of ZigZag (part II). Examples of receiving, processing and displaying data
In the first part of the article, I have described a modified ZigZag indicator and a class for receiving data of that type of indicators. Here, I will show how to develop indicators based on these tools and write an EA for tests that features making deals according to signals formed by ZigZag indicator. As an addition, the article will introduce a new version of the EasyAndFast library for developing graphical user interfaces.
Martingale as the basis for a long-term trading strategy
Martingale as the basis for a long-term trading strategy
In this article we will consider in detail the martingale system. We will review whether this system can be applied in trading and how to use it in order to minimize risks. The main disadvantage of this simple system is the probability of losing the entire deposit. This fact must be taken into account, if you decide to trade using the martingale technique.
The power of ZigZag (part I). Developing the base class of the indicator
The power of ZigZag (part I). Developing the base class of the indicator
Many researchers do not pay enough attention to determining the price behavior. At the same time, complex methods are used, which very often are simply “black boxes”, such as machine learning or neural networks. The most important question arising in that case is what data to submit for training a particular model.
Gap - a profitable strategy or 50/50?
Gap - a profitable strategy or 50/50?
The article dwells on gaps — significant differences between a close price of a previous timeframe and an open price of the next one, as well as on forecasting a daily bar direction. Applying the GetOpenFileName function by the system DLL is considered as well.