Opting for MQL5's matrix and vector capabilities over alternatives like ONNX and Python has considerable benefits. Using an ONNX model would require separate model instances for each trading symbol and new models for any minor parameter changes, such as time frame adjustments. MQL5, however, offers adaptability without the need to manage numerous models for varying conditions. more...
This article is about the triangular arbitrage strategy, it has an example of two triangular arbitrages, and this is done with deep learning models, which are added to the downloads, and a EA which is also added to the downloads. Triangular arbitrage leverages discrepancies in exchange rates to generate risk-free profits. more...
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