Connecting MQL5 to Generative AI APIs with WebRequest
Summary
This tutorial describes how an MQL5 program can communicate with Google’s Generative AI API through WebRequest. It covers API keys, request formatting, parsing JSON responses, extracting generated text, and saving that text to a file when the Expert window is unsuitable for longer output. Much of the explanation focuses on rate limits: requests per minute, requests per day, and tokens per minute, with suggestions such as caching results, combining queries, pacing calls, and keeping prompts and responses concise.
The practical focus is API integration inside MetaTrader rather than a trading strategy or evidence that AI improves trading decisions. The described workflow could support assistants or analysis tools, but the document does not assess their reliability or performance. Rate limits and token accounting vary by provider, so readers must check the applicable API documentation. The supplied text is incomplete in places, limiting detail on the exact request and response implementation.
Key ideas
- WebRequest can connect an MQL5 program to an external generative AI service.
- API keys identify the application and let the provider manage access and usage limits.
- Request, daily, and token limits constrain API calls in different ways.
- Caching, batching, pacing, and shorter prompts can help manage API usage.
- Generated responses can be extracted from JSON and saved to a text file for later use.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.