Deep learning is a subfield of machine learning that focuses on artificial neural networks, inspired by the structure and function of the human brain. It involves training models to perform tasks without explicit programming but by learning patterns and representations from data. Deep learning has gained significant attention due to its ability to automatically learn hierarchical features and representations, making it effective in various domains such as image and speech recognition, natural language ...
We discussed in the previous article how to use socket (websocket) to communicate between EA and python server to solve the backtesting problem, and also discussed why we adopted this technique. In this article, we will discuss how to use onnx, which is natively supported by mql5, to perform inference with our model, but this method has some limitations. If your model uses operators that are not supported by onnx, it may end in failure, so this method is not suitable for all models (of course, you ...
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