mql5

In the previous article entitled "Practical application of neural networks in trading. It's time to practice", we considered the practical application of a neural network module implemented using Matlab neural networks. However, that article did not cover questions related to the preparation of input data and network training related operations. In this article, we will consider these questions using examples and will implement further code using neural networks of libraries working with Python. This time, the trading system implementation principles will be different. This variant was briefly described in paragraph 5 of the basic article "Practical application of neural networks in trading". For this implementation, we will use the TensorFlow machine learning library developed by Google. We will also use the Keras library for describing neural networks.

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