Receiving Telegram Commands in an MQL5 Expert Advisor

Summary

The article explains how to extend an MQL5 Expert Advisor so it can receive Telegram messages, parse updates returned by the Telegram API as JSON, interpret user commands, and send responses back through the chat. It describes preparing the MQL5 environment, defining a message class to hold fields such as sender, chat, timestamp, and message text, and handling decoded updates in a two-way communication loop between Telegram and MetaTrader 5.

The emphasis is on command transport and data parsing, not on a trading signal or strategy. The author says a video demonstrates tests with different inputs and asserts that the implementation responds as intended, but provides no quantitative performance evidence or detailed reliability measures. The article also leaves operational concerns such as access control, malformed input handling, and secure credential management largely unaddressed, so the described integration alone does not establish safe trade execution.

Key ideas

• An MQL5 Expert Advisor can poll Telegram updates and process user commands through the Telegram API.
• A message class can store identifiers, sender and chat details, timestamps, and message text extracted from JSON.
• The design supports a two-way loop in which the EA interprets incoming messages and returns replies.
• The article describes demonstration testing but gives no quantitative evidence about reliability or trading performance.
• Command parsing should be considered separately from safeguards for authorization and order execution.

Tags

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