MetaTrader 5
Experts
지표
스크립트
라이브러리
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사용자 등급 기준 MetaTrader 5용 최고의 라이브러리 - 5
The class is the simplified version of the CArrayRing class: it has a predetermined fixed size of 256 elements, it is faster, and allows to organize the mini time series, indicator minibuffers, short sized buffers to store intermediate stream data inside the Expert Advisor or indicator.
Function Library for Working with Time Series: iTime, iOpen, iHigh, iLow, iClose, iHighest, iLowest, iBarshift. Short invocation version is available for all functions (with the current chart's symbol and period).
An updated version of the CBitPic class with the ability to control drawing transparency
CEROnArray 클래스는 적응 이동 평균(AMA)에 사용되는 효율 비율(ER)을 계산하도록 설계되었습니다. CEROnArray 클래스 사용 예시도 제공됩니다.
There are a lot of users who searched for iBarShift function like in MQL4. But this function is no more include in MQL5, mainly because MQL5 provides all necessary basic, low-level, functions to process such thing in a library.
Compute the daylight saving time changes (start/end of the summer time).
프랙탈을 계산하고 현재 고점/저점(프랙탈) 전후의 막대 수를 개별적으로 지정할 수 있습니다.
Slightly modified history load function from MetaQuotes.
EasyXML is a native MQL5 XML Parsing Library. It can parse XML from three different sources: URL, File and String Input. It is completely object oriented and strives to integrate neatly with MQL5, as it utilizes CObject and CArrayObj from the MQL5 standard library to store the DOM.
The class allows to easily determine from your MQL5 programs any changes in the Market Watch window (change of symbol sorting, adding, deleting a symbol or a set of symbols), as well as opening and closure of charts, and the availability of the one click trading option on the current chart, on which the program is running.
MQL5 마법사용 거래 신호 모듈. 포지션 개시 신호는 Heiken_Ashi_Smoothed 인디케이터에 의해 형성된 캔들 색상의 변화입니다.
This class was developed to exchange data between MetaTrader 5 and CSV files. It converts the strings read from the CSV file to double and integer values depending of the type of the columns. Two producers of CSV files are most important for me. The most important producer are spreadsheet programs, i.e. LibreCalc. Manually entered CSV are the other kind of CSV files I had in mind. Be aware that this class do not use the standard library FileCsv.mqh etc. Instead it works with text files. It splits text lines into fields. Maximum speed and low memory usage were no development goals. This class may not be suited for large datasets or time critical operations. I would not use CSV files if speed was my main goal.