Signals based on real accounts are available only by paid Subscription; signals based on demo accounts can be received only by free Subscription.
Signals based on cent accounts cannot have paid Subscription. Such Signals are available only in the MetaTrader terminal for free. A cent account is defined automatically. In case a Signal is defined incorrectly, the service Administration may assign this property to the Signal manually.
However, in practical terms, using Kohonen networks just for algorithmic trading has been confined with only one approach, namely the same visual analysis of topology maps built for the EA optimization results. In this case, one's value judgment, or rather one's vision and ability to draw reasonable conclusions from a picture turns out to be, perhaps, the crucial factor, sidelining the network properties regarding representing data in terms of nuts-and-bolts matters.
In other words, the features of neural network algorithms were not used to the full, i.e., they were used without automatically extracting knowledge or supporting decision making with specific recommendations. In this paper, we consider the problem of defining the optimal sets of robots' parameters in a more formalized manner. Moreover, we are going to apply Kohonen network to forecasting economic ranges. However, before proceeding to these applied problems, we should revise the existing source codes, get something fixed, and make some improvements.
It is highly recommended to read the above articles first, if you are not familiar with the terms such as 'network', 'layer', 'neuron' ('node'), 'link', 'weight', 'learning rate', 'learning range', and other notions related to Kohonen networks. Then we will have to saturate ourselves in this matter, so re-teaching the basic notions would lengthen this publication significantly.
The Economic Calendar is our proprietary solution. Therein you will find over 600 financial news and indicators related to the 13 largest global economies: USA, European Union, Japan, UK, Canada, Australia, China among others. Relevant data is collected from open sources in real time.
The new version features updated contents and advanced event filters: by time, priority, currencies and countries.
The calendar data can now be accessed from MQL5 programs. Please see below for details.
Terminal: Added new type of MQL5 applications — Services. This new type enables the creation of custom price feeds for the terminal, i.e. to implement price delivery from external systems in real time, just like it is implemented on brokers' trade servers.
Unlike Expert Advisors, indicators and scripts, services are not linked to a specific chart. Such applications run in the background and are launched automatically when the terminal is started (unless such an app was forcibly stopped).
Services can be managed from a new section within the Navigator window:
How to create services To create a service template, use the corresponding MQL5 Wizard option. Services have one OnStart entry point, similar to scripts. At this point, you can implement an endless data receiving and handling cycle using network functions.
How to launch services To run multiple Expert Advisor or indicator copies with different parameters, you should launch them on different charts. In this case different program instances are created, which then operate independently. Services are not linked to charts, therefore a special mechanism has been implemented for the creation of service instances.
Select a service from the Navigator and click "Add service" in its context menu. This will open a standard MQL5 program dialog, in which you can enable/disable trading and access to signal settings, as well as set various parameters.
A service instance can be launched and stopped using the appropriate instance menu. To manage all instances, use the service menu.
Terminal: A learning program has been added.
The new feature will help beginners in learning how to interact with the platform. We have added over 100 interactive tips concerning the main platform features.
Tips are seamlessly displayed as a progress bar on the toolbar and thus they do not distract the user.
Tips only appear for the actions which you have never performed in the platform.
All tips include interactive links, by which you can navigate to the relevant interface elements. For example, a trading dialog or a menu with the desired program can be launched straight from the tip.
The filled area of the progress bar will increase whenever you perform appropriate actions and continue training.
Terminal: The trading account history can be presented as positions. The platform collects data on deals related to the position (opening, volume increase, partial or full closing) and groups the information into a single record. Thus you can access position details: open and close time, volume, price and result. This efficient presentation form is now available in history reports exported to files.
Terminal: Added new API enabling request of MetaTrader 5 terminal data through applications using the R language.
We have prepared a special MetaTrader package. It contains DLL for interactions between R and the MetaTrader 5 terminal, documentation and auxiliary r files. We are completing the package registration in the CRAN repository, after which it will be available for download and installation.
The package can be installed using a special command:
R CMD INSTALL --build MetaTrader
The following commands related to data request are available:
MT5Initialize initializes and establishes connection with the MetaTrader 5 terminal. If necessary, the terminal is launched during command execution.
MT5Shutdown de-initializes and disconnects from MetaTrader 5.
MT5Version gets the MetaTrader 5 terminal version.
MT5TerminalInfo gets the state and parameters of terminal connection to a broker's server (account number and server address).
MT5WaitTerminal waits for the MetaTrader 5 terminal to connect to a broker's server.
MT5CopyTicksFrom(symbol, from, count, flags) copies the specified number of ticks starting from the specified date. The date is specified in milliseconds since 01.01.1970.
MT5CopyTicksRange(symbol, from, to, flags) copies ticks from within the specified period. The dates are specified in milliseconds since 01.01.1970.
MT5CopyRatesFrom(symbol, timeframe, from, count) copies the specified number of one-minute bars starting from the specified date. The date is specified in seconds since 01.01.1970.
MT5CopyRatesFromPos(symbol, timeframe, start_pos, count) copies one-minute bars from the specified position relative to the last bar.
MT5CopyRatesFromRange(symbol, timeframe, date_from, date_to) copies bars from within the specified period. The dates are specified in seconds since 01.01.1970.
The list of supported commands will be further expanded.
Terminal: Optimized Close By dialog used for closing a position by an opposite one. Now, the dialog is not slowed down even if you have a large number of open positions.
Terminal: Fixed synthetic symbol calculation errors, due to which data could be occasionally skipped.
Terminal: When a custom symbol is deleted, files storing its tick and bar history are also deleted. This avoids the accumulation of unused data on the hard disk.
Terminal: Fixed display of search results on High DPI screens.
MQL5: Implemented access to economic calendar data from MQL5 programs.
New functions
CalendarCountryById — gets country description by identifier.
bool CalendarCountryById(
constlong country_id, // country ID
MqlCalendarCountry& country // country description
);
CalendarEventById — gets event description by identifier.
CalendarValueHistoryByEvent — gets the array of values for the specified time period, by event identifier.
bool CalendarValueHistoryByEvent(
ulong event_id, // event ID
MqlCalendarValue& values[], // array of valuesdatetime datetime_from, // period beginning datedatetime datetime_to=0 // period end date
);
CalendarValueHistory — gets the array of values for the specified time period for all events, filtered by country and/or currency.
bool CalendarValueHistory(
MqlCalendarValue& values[], // array of valuesdatetime datetime_from, // beginning of perioddatetime datetime_to=0, // end of periodstring country_code=NULL, // country codestring currency=NULL // currency
);
CalendarValueLastByEvent — gets an array of last event values by identifier. This function enables the request of the values which have appeared since the previous request. The in/out parameter "change_id" is additionally used for this operation.
Every time the calendar database changes, the "change_id" property (the last change identifier) is updated. During data request, you specify "change_id" and the terminal returns events which appeared after that time, as well as the current "change_id" value, which can be used for the next request. During the first function call, specify the zero "change_id": the function will not return any events, but will return the current "change_id" for further requests.
bool CalendarValueHistory(
ulong event_id, // event IDulong& change_id, // last calendar change ID
MqlCalendarValue& values[] // array of values
);
CalendarValueLast — gets the array of last values for all events, filtered by country and/or currency. This function enables the request of the values which have appeared since the previous request. Similarly to CalendarValueLastByEvent, the "change_id" property is used for the request.
bool CalendarValueHistory(
ulong event_id, // event IDulong& change_id, // last calendar change ID
MqlCalendarValue& values[], // array of valuesstring country_code=NULL, // country codestring currency=NULL // currency
);
New structures
MqlCalendarCountry — country description.
struct MqlCalendarCountry
{
ulong id; // country ID in ISO 3166-1string name; // text name of the countrystring code; // code name of the country in ISO 3166-1 alpha-2string currency; // country currency codestring currency_symbol; // country currency symbol/signstring url_name; // country name used in URL on mql5.com
};
MqlCalendarEvent — event description.
struct MqlCalendarEvent
{
ulong id; // event ID
ENUM_CALENDAR_EVENT_TYPE type; // event type
ENUM_CALENDAR_EVENT_SECTOR sector; // sector to which the event belongs
ENUM_CALENDAR_EVENT_FREQUENCY frequency; // event release frequency
ENUM_CALENDAR_EVENT_TIMEMODE time_mode; // event release time modeulong country_id; // country ID
ENUM_CALENDAR_EVENT_UNIT unit; // unit for the event values
ENUM_CALENDAR_EVENT_IMPORTANCE importance; // event importance
ENUM_CALENDAR_EVENT_MULTIPLIER multiplier; // event importance multiplieruint digits; // number of decimal places in the event valuestring source_url; // source URLstring event_code; // event codestring name; // text name of the event in the terminal language
};
MqlCalendarValue — event value description.
struct MqlCalendarValue
{
ulong id; // value IDulong event_id; // event IDdatetime time; // event date and timedatetime period; // period, for which the event is publishedint revision; // published indicator revision in relation to the reported periodlong actual_value; // current event valuelong prev_value; // previous event valuelong revised_prev_value; // revised previous event valuelong forecast_value; // forecast event value
ENUM_CALENDAR_EVENT_IMPACRT impact_type; // potential impact on the currency rate
};
New enumerations
enum ENUM_CALENDAR_EVENT_FREQUENCY
{
CALENDAR_FREQUENCY_NONE =0, // not used
CALENDAR_FREQUENCY_WEEK =1, // weekly
CALENDAR_FREQUENCY_MONTH =2, // monthly
CALENDAR_FREQUENCY_QUARTER =3, // quarterly
CALENDAR_FREQUENCY_YEAR =4, // yearly
CALENDAR_FREQUENCY_DAY =5, // daily
};
enum ENUM_CALENDAR_EVENT_TYPE
{
CALENDAR_TYPE_EVENT =0, // event (meeting, speech, etc.)
CALENDAR_TYPE_INDICATOR =1, // indicator
CALENDAR_TYPE_HOLIDAY =2, // holiday
};
enum ENUM_CALENDAR_EVENT_SECTOR
{
CALENDAR_SECTOR_NONE =0, // no
CALENDAR_SECTOR_MARKET =1, // market
CALENDAR_SECTOR_GDP =2, // GDP
CALENDAR_SECTOR_JOBS =3, // jobs
CALENDAR_SECTOR_PRICES =4, // prices
CALENDAR_SECTOR_MONEY =5, // money
CALENDAR_SECTOR_TRADE =6, // trade
CALENDAR_SECTOR_GOVERNMENT =7, // government
CALENDAR_SECTOR_BUSINESS =8, // business
CALENDAR_SECTOR_CONSUMER =9, // consumer
CALENDAR_SECTOR_HOUSING =10, // housing
CALENDAR_SECTOR_TAXES =11, // taxes
CALENDAR_SECTOR_HOLIDAYS =12, // holidays
};
enum ENUM_CALENDAR_EVENT_IMPORTANCE
{
CALENDAR_IMPORTANCE_LOW =0, // no
CALENDAR_IMPORTANCE_NONE =1, // low
CALENDAR_IMPORTANCE_MODERATE =2, // moderate
CALENDAR_IMPORTANCE_HIGH =3, // high
};
enum ENUM_CALENDAR_EVENT_UNIT
{
CALENDAR_UNIT_NONE =0, // no
CALENDAR_UNIT_PERCENT =1, // percent
CALENDAR_UNIT_CURRENCY =2, // national currency
CALENDAR_UNIT_HOUR =3, // number of hours
CALENDAR_UNIT_JOB =4, // number of jobs
CALENDAR_UNIT_RIG =5, // number of rigs
CALENDAR_UNIT_USD =6, // US dollar
CALENDAR_UNIT_PEOPLE =7, // number of people
CALENDAR_UNIT_MORTGAGE =8, // number of mortgages
CALENDAR_UNIT_VOTE =9, // number of votes
CALENDAR_UNIT_BARREL =10, // number of barrels
CALENDAR_UNIT_CUBICFEET =11, // volume in cubic feet
CALENDAR_UNIT_POSITION =12, // number of job positions
CALENDAR_UNIT_BUILDING =13// number of buildings
};
enum ENUM_CALENDAR_EVENT_MULTIPLIER
{
CALENDAR_MULTIPLIER_NONE =0, // no
CALENDAR_MULTIPLIER_THOUSANDS =1, // thousands
CALENDAR_MULTIPLIER_MILLIONS =2, // millions
CALENDAR_MULTIPLIER_BILLIONS =3, // billions
CALENDAR_MULTIPLIER_TRILLIONS =4, // trillions
};
enum ENUM_CALENDAR_EVENT_IMPACRT
{
CALENDAR_IMPACT_NA =0, // not available
CALENDAR_IMPACT_POSITIVE =1, // positive
CALENDAR_IMPACT_NEGATIVE =2, // negative
};
enum ENUM_CALENDAR_EVENT_TIMEMODE
{
CALENDAR_TIMEMODE_DATETIME =0, // the source publishes the exact time
CALENDAR_TIMEMODE_DATE =1, // the event takes the whole day
CALENDAR_TIMEMODE_NOTIME =2, // the source does not publish the event time
CALENDAR_TIMEMODE_TENTATIVE =3, // the source provides only date, but does not publish the exact time in advance, exact time is added when event occurs
};
New error codes
ERR_CALENDAR_MORE_DATA =5400, // the array is small for the whole result (values which fit in the array were passed)
ERR_CALENDAR_TIMEOUT =5401, // timed out waiting for a response to the calendar data request
ERR_CALENDAR_NO_DATA =5402, // data not found
MQL5: Fixes and operation speed improvements related to tick and bar history.
MQL5: Fixes and significant operation speed improvements related to tick and bars history modification functions of custom trading symbols, CustomTicks* and CustomRates*.
MQL5: Added network functions for creating TCP connections to remote hosts via system sockets:
SocketCreate creates a socket with specified flags and returns its handle
SocketClose closes the socket
SocketConnect connects to the server, with timeout control
SocketIsConnected checks if the socket is currently connected
SocketIsReadable gets the number of bytes which can be read from the socket
SocketIsWritable checks if data writing to this socket is possible at the current time
SocketTimeouts sets data receiving and sending timeouts for the system socket object
SocketRead reads data from a socket
SocketSend writes data to a socket
SocketTlsHandshake initiates a secure TLS (SSL) connection with the specified host using the TLS Handshake protocol
SocketTlsCertificate receives information concerning the certificate used for secure network connection
SocketTlsRead reads data from a secure TLS connection
SocketTlsReadAvailable reads all available data from a secure TLS connection
SocketTlsSend sends data using a secure TLS connection
The address of the host, to which connection using network functions is established, must be explicitly added to the list of allowed addresses in terminal settings.
New error codes have been added for operations with network functions:
ERR_NETSOCKET_INVALIDHANDLE (5270): invalid socket handle passed to the function
ERR_NETSOCKET_TOO_MANY_OPENED (5271): too many sockets open (maximum 128)
ERR_NETSOCKET_CANNOT_CONNECT (5272): error while connecting to remote host
ERR_NETSOCKET_IO_ERROR (5273): error while sending/receiving data from the socket
ArrayRemove removes from an array the specified number of elements starting with the specified index.
bool ArrayRemove(
void& array[], // array of any typeuint start, // the index to start removaluint count=WHOLE_ARRAY // number of elements
);
ArrayInsert inserts to a receiver array the specified number of elements from the source array, starting with the specified index.
bool ArrayInsert(
void& dst_array[], // receiver arrayconstvoid& src_array[], // source arrayuint dst_start, // index in the receiver array where to insertuint src_start=0, // index in the source array to start copyinguint count=WHOLE_ARRAY // number of inserted elements
);
ArrayReverse reverses in an array the specified number of elements starting with the specified index.
bool ArrayReverse(
void& array[], // array of any typeuint start=0, // index to start reversinguint count=WHOLE_ARRAY // number of elements
);
MQL5: New "uint count" parameter has been added in functions CustomRatesUpdate, CustomRatesReplace, CustomTicksAdd and CustomTicksReplace. It allows specification of the number of elements of the passed array, which will be used for these functions. The WHOLE_ARRAY value is used for the parameter by default. It means that the whole array will be utilized.
MQL5: Added CustomBookAdd function to pass the status of the Depth of Market for a custom symbol. The function allows broadcasting the Depth of Market as if the prices arrive from a broker's server.
int CustomBookAdd(
conststring symbol, // symbol nameconst MqlBookInfo& books[] // an array with the DOM elements descriptionsuint count=WHOLE_ARRAY // number of elements to be used
);
MQL5: Added CustomSymbolCreate function overloading. This allows the creation of a custom trading symbol based on an existing one. After creation, any symbol property can be edited using corresponding functions.
boolCustomSymbolCreate(
conststring symbol_name, // custom symbol nameconststring symbol_path="", // name of the group in which the symbol will be createdconststring symbol_origin=NULL // name of the symbol based on which the custom symbol will be created
);
The name of the symbol, from which the properties of for the custom symbol should be copied, is specified in the "symbol_origin" parameter.
The StringToTime function converting the string with date/time to a datetime value has been updated. Now it supports the following date formats:
yyyy.mm.dd [hh:mi]
yyyy.mm.dd [hh:mi:ss]
yyyymmdd [hh:mi:ss]
yyyymmdd [hhmiss]
yyyy/mm/dd [hh:mi:ss]
yyyy-mm-dd [hh:mi:ss]
MQL5: New TERMINAL_VPS property in the ENUM_TERMINAL_INFO_INTEGER enumeration; it shows that the terminal is running on the MetaTrader Virtual Hosting server (MetaTrader VPS). If an application is running on a hosting server, you can disable all its visual functions, since the virtual server does not have a graphical user interface.
MQL5: New SYMBOL_EXIST property in the ENUM_SYMBOL_INFO_INTEGER enumeration, means that the symbol under this name exists.
MQL5: Fixed typing when using template function pre-declarations.
MQL5: Added re-initialization of indicators when changing a trading account.
MQL5: Fixed errors in the standard library operation.
Tester: Added TesterStop function — routine early shutdown of an Expert Advisor on a test agent. Now you can forcibly stop testing after reaching the specified number of losing trades, a preset drawdown level or any other criterion.
Testing completed using this function is considered successful. After the function call, the trading history obtained during testing and all trade statistics are passed to the terminal.
Tester: Disabled ability to test and optimize Expert Advisors through MQL5 Cloud Network in the real tick mode. This mode can only be used on local agents and local network farms.
Tester: Improved work with indicators during visual testing. Now the price chart and indicator lines are drawn synchronously, even for the maximum visualization speed.
Tester: Optimized and significantly accelerated testing and optimization.
Tester: Fixed debugging of indicators on historical data. Now the OnInit and OnDeinit indicator functions can be properly debugged.
Tester: Implemented faster access to historical data when testing multicurrency Expert Advisors.
Tester: Fixed occasional freezing of the visual tester during debugging on historical data.
Tester: Implemented faster start of optimization passes when processing a task package by an agent.
Tester: Changed policy of distributing task packages to testing agents. The package size has been increased and thus resource consumption on network operations has been significantly reduced.
Tester: Changed behavior of options enabling the use of local, network and cloud agents. Now, when you switch off the options, the agents complete processing of received tasks, while no more new tasks are given to them. In earlier versions, the behavior was similar to the "Disable" command, which immediately stopped agent operation.
MetaEditor: Added support for non-ANSI characters in the debugger. Now, the expressions are properly displayed even if the variable name is specified in Cyrillic.
MetaEditor: Fixed display of search results on High DPI screens.
Added user interface translation into Croatian.
Documentation has been updated.
The update will be available through the LiveUpdate system.
The first version of integration - read this post #1.
How to get direct access to data in MetaTrader 5 from R - read first post of this thread (this is the key thread started by MQ), or this translation- #2.
Multi-Currency Expert Advisors in MT5 - backtesting and optimization
The threads/posts
Buying or Selling all 7 pairs - the thread with the explanation.
Multi-Currency Expert Advisors the post with the examples of backtesting/optimization
The articles
LifeHack for trader: "Quiet" optimization or Plotting trade distributions Interesting results can also be obtained by running a multi-currency EA in the strategy tester. As an example, the free Multicurrency Expert from the CodeBase was used. In addition, the "#include <DistributionOfProfits.mqh>" file was specified and the "CDistributionOfProfits ExtDistribution" variable was declared in the header of the EA, and the "OnTester()" function was added at the end of the code. After a single run, the following statistics had been received: "TestAnalysis.htm".
The multi-symbol adviser uses the MA Trend 2 adviser as the base advisor, while the advisor itself is rewritten as a class.
This adviser is in the form of a class the first version, so, for now, the symbols ("EURUSD", "USDCAD", "USDJPY") are specified in the code hard. Also, all input parameters are the same for each of the three symbols (Stop Loss, Take Profit, and so on ...).
Correlation is a statistical relationship between two or more random variables (or quantities which can be considered random with some acceptable degree of accuracy). Changes in one ore more variables lead to systematic changes of other related variables. The mathematical measure of the correlation of two random variables is the correlation coefficient. If a change in one random variable does not lead to a regular change in the other random variable but leads to a change in another statistical characteristic of this random variable, such a relation is not considered correlation, although it is statistical.
There is one thread on the forum - Possibilities of Canvas. It is very useful thread. And this is one very interesting tool which is fully related to this thread -
Hi
Iam a beginner want to follow cut and paste strategy. How do l start . I need step by step approach
please
120154
Hi
Iam a beginner want to follow cut and paste strategy. How do l start . I need step by step approach
please
Where Do I start from?
https://www.mql5.com/en/forum/212020
----------------
Forum on trading, automated trading systems and testing trading strategies
How to Start with Metatrader 5
Sergey Golubev, 2013.09.20 08:21
Summaries :
====
120154
Forum on trading, automated trading systems and testing trading strategies
Some question about Signals
Sergey Golubev, 2016.12.30 20:14
Just some information about the Signal Service:
This is the information about where to start to.
------------
From the rules -
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The subject of Kohonen neural networks was approached to in some articles on the mql5.com website, such as Using Self-Organizing Feature Maps (Kohonen Maps) in MetaTrader 5 and Self-Organizing Feature Maps (Kohonen Maps) - Revisiting the Subject. They introduced readers to the general principles of building neural networks of this type and visually analyzing the economic numbers of markets using such maps.
However, in practical terms, using Kohonen networks just for algorithmic trading has been confined with only one approach, namely the same visual analysis of topology maps built for the EA optimization results. In this case, one's value judgment, or rather one's vision and ability to draw reasonable conclusions from a picture turns out to be, perhaps, the crucial factor, sidelining the network properties regarding representing data in terms of nuts-and-bolts matters.
In other words, the features of neural network algorithms were not used to the full, i.e., they were used without automatically extracting knowledge or supporting decision making with specific recommendations. In this paper, we consider the problem of defining the optimal sets of robots' parameters in a more formalized manner. Moreover, we are going to apply Kohonen network to forecasting economic ranges. However, before proceeding to these applied problems, we should revise the existing source codes, get something fixed, and make some improvements.
It is highly recommended to read the above articles first, if you are not familiar with the terms such as 'network', 'layer', 'neuron' ('node'), 'link', 'weight', 'learning rate', 'learning range', and other notions related to Kohonen networks. Then we will have to saturate ourselves in this matter, so re-teaching the basic notions would lengthen this publication significantly.
120154
Forum on trading, automated trading systems and testing trading strategies
New MetaTrader 5 Platform build 2005: Economic Calendar, MQL5 applications as services and R language API
MetaQuotes Software Corp., 2019.02.20 17:20
The MetaTrader 5 platform update will be released on February 21, 2019. The new version features the following changes:
The Economic Calendar is our proprietary solution. Therein you will find over 600 financial news and indicators related to the 13 largest global economies: USA, European Union, Japan, UK, Canada, Australia, China among others. Relevant data is collected from open sources in real time.
The new version features updated contents and advanced event filters: by time, priority, currencies and countries.
The calendar data can now be accessed from MQL5 programs. Please see below for details.
Unlike Expert Advisors, indicators and scripts, services are not linked to a specific chart. Such applications run in the background and are launched automatically when the terminal is started (unless such an app was forcibly stopped).
Services can be managed from a new section within the Navigator window:
How to create services
To create a service template, use the corresponding MQL5 Wizard option. Services have one OnStart entry point, similar to scripts. At this point, you can implement an endless data receiving and handling cycle using network functions.
How to launch services
To run multiple Expert Advisor or indicator copies with different parameters, you should launch them on different charts. In this case different program instances are created, which then operate independently. Services are not linked to charts, therefore a special mechanism has been implemented for the creation of service instances.
Select a service from the Navigator and click "Add service" in its context menu. This will open a standard MQL5 program dialog, in which you can enable/disable trading and access to signal settings, as well as set various parameters.

A service instance can be launched and stopped using the appropriate instance menu. To manage all instances, use the service menu.The new feature will help beginners in learning how to interact with the platform. We have added over 100 interactive tips concerning the main platform features.
We have prepared a special MetaTrader package. It contains DLL for interactions between R and the MetaTrader 5 terminal, documentation and auxiliary r files. We are completing the package registration in the CRAN repository, after which it will be available for download and installation.
The package can be installed using a special command:
The following commands related to data request are available:
The list of supported commands will be further expanded.
New functions
CalendarCountryById — gets country description by identifier.
CalendarEventById — gets event description by identifier.
CalendarValueById — gets event value description by identifier.
CalendarEventByCountry — gets the array of available events for the country.
CalendarEventByCurrency — gets the array of available events for the affected currency.
CalendarValueHistoryByEvent — gets the array of values for the specified time period, by event identifier.
CalendarValueHistory — gets the array of values for the specified time period for all events, filtered by country and/or currency.
CalendarValueLastByEvent — gets an array of last event values by identifier. This function enables the request of the values which have appeared since the previous request. The in/out parameter "change_id" is additionally used for this operation.
Every time the calendar database changes, the "change_id" property (the last change identifier) is updated. During data request, you specify "change_id" and the terminal returns events which appeared after that time, as well as the current "change_id" value, which can be used for the next request. During the first function call, specify the zero "change_id": the function will not return any events, but will return the current "change_id" for further requests.
CalendarValueLast — gets the array of last values for all events, filtered by country and/or currency. This function enables the request of the values which have appeared since the previous request. Similarly to CalendarValueLastByEvent, the "change_id" property is used for the request.
New structures
MqlCalendarCountry — country description.
MqlCalendarEvent — event description.
MqlCalendarValue — event value description.
New enumerations
New error codes
CharArrayToStruct copies a uchar array to a POD structure.
StructToCharArray copies a POD structure to a uchar array.
New error codes have been added for operations with network functions:
StringReserve reserves for a string the memory buffer of the specified size.
StringSetLength sets the specified string length in characters.
ArrayRemove removes from an array the specified number of elements starting with the specified index.
ArrayInsert inserts to a receiver array the specified number of elements from the source array, starting with the specified index.
ArrayReverse reverses in an array the specified number of elements starting with the specified index.
The name of the symbol, from which the properties of for the custom symbol should be copied, is specified in the "symbol_origin" parameter.
Testing completed using this function is considered successful. After the function call, the trading history obtained during testing and all trade statistics are passed to the terminal.
120154
Forum on trading, automated trading systems and testing trading strategies
MetaTrader R package - the summary
Sergey Golubev, 2019.02.22 06:47
The Main Study
The Articles
The Forum
----------------
more to follow ..
120154
Forum on trading, automated trading systems and testing trading strategies
Usefull links/threads/tools
Sergey Golubev, 2017.10.05 12:33
Multi-Currency Expert Advisors in MT5 - backtesting and optimization
The threads/posts
The articles
Interesting results can also be obtained by running a multi-currency EA in the strategy tester. As an example, the free Multicurrency Expert from the CodeBase was used. In addition, the "#include <DistributionOfProfits.mqh>" file was specified and the "CDistributionOfProfits ExtDistribution" variable was declared in the header of the EA, and the "OnTester()" function was added at the end of the code. After a single run, the following statistics had been received: "TestAnalysis.htm".
optimization it over all symbols selected in Market Watch
Documentation
..and this is the example of the code from CodeBase -
----------------
Multicurrency iMA Trend - expert for MetaTrader 5
The multi-symbol adviser uses the MA Trend 2 adviser as the base advisor, while the advisor itself is rewritten as a class.
This adviser is in the form of a class the first version, so, for now, the symbols ("EURUSD", "USDCAD", "USDJPY") are specified in the code hard. Also, all input parameters are the same for each of the three symbols (Stop Loss, Take Profit, and so on ...).
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Good article was published -
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Practical application of correlations in trading
Correlation is a statistical relationship between two or more random variables (or quantities which can be considered random with some acceptable degree of accuracy). Changes in one ore more variables lead to systematic changes of other related variables. The mathematical measure of the correlation of two random variables is the correlation coefficient. If a change in one random variable does not lead to a regular change in the other random variable but leads to a change in another statistical characteristic of this random variable, such a relation is not considered correlation, although it is statistical.
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120154
Forum on trading, automated trading systems and testing trading strategies
Where Do I start from?
Sergey Golubev, 2018.09.20 15:43
Use tips - the instruction about HowTo
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120154
There is one thread on the forum -
Possibilities of Canvas.
It is very useful thread.
And this is one very interesting tool which is fully related to this thread -
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System of linear algebraic equations on each bar - indicator for MetaTrader 5
This work has 3 goals: