Top libraries for MetaTrader 5 based on user ratings

Forget about BMP files like a bad dream. Thanks to this library, you can now use the PNG format, which has a number of advantages, such as being more compact without losing image quality and maintaining transparency.

A set of classes for automatic moving of StopLoss of open positions by fixed indentation or by values of Parabolic SAR and moving averages indicators, or by specified position stop level.

Calculate DST for USA, EUR, AUD and RUB and the offset time of the broker automatically from the 70's until 2030 - even in the Strategy Tester of MQ.

Working with keyboard data

A simple comment.

Professional Telegram Bot integration library for MetaTrader 5. Complete solution for sending trading signals, screenshots, reports, and real-time notifications to Telegram channels and groups.

A JSON library that supports MQL4/MQL5

This library is an updated version of the ErrorDescription.mqh library published by MetaQuotes, with some features included.

A powerful and feature-rich JSON library for MQL5, designed to bring a modern development experience similar to Python/JS

Records ticks in real ticks mode and reads them in maths mode calling your strategy with each tick.

Complete Telegram integration for MT5. Send trading signals, screenshots, reports & alerts to Telegram channels. Includes queue system, multi-channel support & risk management.

Source codes written in the process of developing a library for creating multi-currency Expert Advisors combining multiple instances of different trading strategies.

Compression of tick data for storage in a compact form up to 3.5 times more compact than .tcs MQ files. And for fast work with them, because reading 3 bytes takes less time than reading 60 bytes of MqlTick structure.

With these classes you can create and test your signals runtime.

Class to access to the local time for the specified location, as well as time zone information and the local trading session hours.

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.

Securing data transfer between client and Server could be a big challenge for you as MQL5 programmer. You may have experience in using built in MQL5 encryption systems like AES.AES can securely encrypt your data but on the other hand is not secure when it comes to sending the AES key through insecure channels. You can only rely on asymmetric encryption systems Like RSA in such cases. you keep the private key at your server side and only share the public key with your clients. Even more you can use hybrid RSA_AES approach to archive more performance

Library for trading session control. At startup it counts the time of trading sessions for all 7 days of the week (on Sat and Sun there can be cryptocurrency trading), up to 10 sessions per day. Then in OnTick() you can do checks, and if a tick came in outside the trading session, you can exit further processing of it.

The source codes written during the development of the library for creating multi-currency Expert Advisors that combine many instances of various trading strategies.

PrintXYZ() library to print massive information from the terminal.

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.

Logger with the ability to log individual modules or code sections

Function to convert server time from one broker's time zone to another.

Monitoring of memory leaks in the strategy tester

CDateTime milliseconds extension + datetime supervisory variable extension

Logify is a logging library for MQL designed to simplify debugging, tracking, and monitoring of EAs and indicators. It provides structured, customizable, and organized logs directly on the chart or in the terminal, with support for log levels, flexible formats, and multiple handlers. A lightweight, elegant solution that is easy to integrate into your MQL projects.

Automates MQL5 buffer and plot index management. Eliminates manual counting, simplifies Z-order layering, and handles complex plot types (Candles, Color Lines) with a single line of code.

If you have access to the Expert Advisor code, you can save balance and equity charts and calculate additional optimization criteria by adding additional code from this library.

Structure of input parameters

This EA is a demonstration of how you can implement your own Hedging strategy with the help of the include file.

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).

A class for reading and writing individual bits or bit sequences to and from a buffer.

Unpack GZIP archives from *.gz files or responses from sites compressed with this format.

Basic library to create Volume Profiles on chart.

This Script & EA enables coders to backtest their news based strategies which use the MQL5 Calendar.

A logger with the ability to log specific modules or code sections

MQL5-Like Trade Classes in Python for MetaTrader 5 Python

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.

Serialization and deserialization of the JSON format

A hybrid sorting algorithm that provide fast performance for sorting arrays of simple types, structures or object pointers.