Connecting an MQL5 Expert Advisor to Local Text-to-Speech

Summary

This article explains how to add spoken alerts to an MQL5 expert advisor by connecting it to a local text-to-speech service. The EA constructs dynamic messages for events such as moving-average crossovers, prices, and trade or risk notifications, then sends them through an HTTP request to a Python server on the same computer. The server accepts the text, places it in a queue, and processes messages sequentially in a background worker before speaking them through Windows speech synthesis.

A moving-average crossover EA serves as the example, and the article describes setting up the Python environment, enabling local WebRequest communication in MetaTrader, and testing the connection. The method can make alerts more informative and useful for traders who cannot continuously monitor charts or logs. Its scope is accessibility and notification infrastructure rather than trading performance: the crossover is a demonstration, and the article provides no evidence that it improves strategy returns. The setup also depends on a running local service and compatible terminal configuration.

Key ideas

• An EA can send dynamically generated alert text to a local speech service using HTTP requests.
• A Python server queues incoming messages and speaks them sequentially through system speech synthesis.
• A moving-average crossover EA demonstrates how to connect strategy events to spoken notifications.
• The approach avoids preparing a separate audio recording for each possible alert.
• The article focuses on accessibility and system integration rather than trading results.

Tags

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