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MQL5 MetaTrader 5용 소스 코드 라이브러리
라이브러리는 특정 기능을 포함하는 작은 하위 프로그램으로, 새로운 응용 프로그램을 개발하는 데 사용될 수 있습니다. 일단 작성되고 철저히 점검되면, 사용자는 라이브러리를 통해 새로운 MQL5 응용 프로그램의 개발 속도를 높일 수 있습니다. 예시 중 하나는 여러 수치 분석 함수를 포함하는 ALGLIB 라이브러리입니다.
MetaEditor에서 거래전략 개발 시 라이브러리 소스 코드를 다운로드하여 사용할 수 있습니다. 그것들은 MetaTrader 5에서는 독립적으로 실행할 수 없습니다.
목표는, 이 함수를 MQL5 개발의 모든 텔레그램 통합 작업에 쉽게 사용할 수 있도록 하는 것입니다. 이 파일을 코드베이스에 추가하면, 전문가 어드바이저에 포함시키고, 포함된 모듈에서 바로 함수를 호출할 수 있습니다. 이렇게 하면, 코드를 처음부터 다시 개발할 필요가 없으므로, 여러 프로젝트에서 재사용성을 보장할 수 있습니다.
RSI 전문가 조언자(EA)는 메타트레이더 5(MT5) 플랫폼용으로 개발된 자동매매 도구입니다. 이 EA는 상대강도지수(RSI)를 활용하여 매수 및 매도 신호를 식별하고 위험 관리, 부분 포지션 청산, 거래 시간 제한을 통합하여 거래 성과를 최적화합니다.
TelegramToMT5 is a MetaTrader 5 Expert Advisor that bridges Telegram and MT5 by displaying messages from your Telegram channels, groups, and private chats directly on your trading charts. Simply create a Telegram bot, add it to your desired channels/groups, and let the EA show all messages as comments on your chart in real-time.
MQL5-Like Trade Classes in Python for MetaTrader 5 Python
프랙탈을 계산하고 현재 고점/저점(프랙탈) 전후의 막대 수를 개별적으로 지정할 수 있습니다.
MT4Orders 또는 Virtual을 통해 구현된 MT4 스타일 거래 명령을 위한 fxsaber의 빠른 JavaScript 버전의 보고서 라이브러리입니다. 최대 10배 빠르게 작동하고, NTML 파일 크기가 더 작으며, 최대 540만 개의 보고서 줄을 업로드하고 표시할 수 있습니다.
PrintXYZ() library to print massive information from the terminal.
This Script & EA enables coders to backtest their news based strategies which use the MQL5 Calendar.
A new interface library has been developed to simplify the process of converting MT4 indicators and Expert Advisors (EAs) to MT5. This library supports most of the MetaTrader 4 functions, offering developers a unified solution for cross-platform compatibility.
A simple replacement for a comment. Works in the tester 50 times faster than the standard function.
This code provides a simple function for sending push notifications to your mobile device whenever trades are opened or closed in MetaTrader 5. It's designed for netting accounts (where only one position per symbol is allowed).
The simplest class for logging in MetaTrader 5 with support for levels, message format, include and exclude filters on substrings.
The CDebugLogger class is a flexible and comprehensive logging utility designed for use in MQL4/5 environments. It allows developers to log messages at various levels of importance (INFO, WARNING, ERROR, DEBUG) with options to include timestamps, function signatures, file names, and line numbers in the log entries. The class supports logging to both the console and files, with the ability to save logs in a common folder and in CSV format. Additionally, it offers functionality to silence logs based on specific keywords, ensuring that sensitive information is not logged. This class is ideal for developers looking to implement robust logging mechanisms in their MQL4/5 applications, with customizable features that cater to a wide range of debugging and monitoring needs.
This library simulates prop trading firm scenarios by resetting the account balance based on configurable profit and loss thresholds during backtesting, and logs reset results for analysis.
The CDebugLogger class is a flexible and comprehensive logging utility designed for use in MQL4/5 environments. It allows developers to log messages at various levels of importance (INFO, WARNING, ERROR, DEBUG) with options to include timestamps, function signatures, file names, and line numbers in the log entries. The class supports logging to both the console and files, with the ability to save logs in a common folder and in CSV format. Additionally, it offers functionality to silence logs based on specific keywords, ensuring that sensitive information is not logged. This class is ideal for developers looking to implement robust logging mechanisms in their MQL4/5 applications, with customizable features that cater to a wide range of debugging and monitoring needs.
This EA is a demonstration of how you can implement your own Hedging strategy with the help of the include file.
Class to access to the local time for the specified location, as well as time zone information and the local trading session hours.
The source codes written during the development of the library for creating multi-currency Expert Advisors that combine many instances of various trading strategies.
Static class to fix the TimeGMT() function during testing in the strategy tester.
Calculate the cosine distance and similarity between 2 vectors . The cosine distance is 1-cosine_similarity and the cosine similarity is the dot product of two vectors by their magnitudes multiplied.
Smooth Algorithms fixed version plus Trade Algorithms plus full operational EA, plus two indicators . So you will get complete project where you be able to see example how to use and implement this libraries