Building Telegram Bots in MQL5 for User Messages and MACD Signals

Summary

This tutorial shows how to connect an MQL5 program to Telegram’s Bot API. It covers bot registration, private chats, groups, and channels, then describes a reusable bot class that sends HTTP requests, parses JSON responses, retrieves updates, and dispatches messages to application logic. A timer polls for incoming messages, and a derived class can handle commands such as start and help. The article also shows how a bot added as a channel administrator can publish trading messages.

The trading example sends buy or sell notices when MACD crosses its signal line, including the symbol, timeframe, price, and time. These are indicator-triggered messages, not evidence of a profitable strategy or a performance-tested system. The material is an integration guide and leaves many implementation details to the Telegram API documentation. The published code includes an exposed example token, so it should be treated as illustrative rather than used as an actual credential.

Key ideas

• An MQL5 bot can communicate with Telegram through HTTP POST requests to its Bot API.
• Timer-based polling retrieves pending updates, while a message handler implements the bot’s behavior.
• Telegram channels can distribute trading messages when the bot has administrator access.
• The example publishes buy and sell notices when MACD crosses its signal line.
• The article explains integration mechanics but provides no evidence that the example signals are profitable.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.