MetaTrader 5 Python package

We will tackle the problem of price to angle conversion from an entirely fresh perspective. This time, we will be using a more mathematically sophisticated and robust approach in comparison to the tools we created on our first attempt. Readers who are already familiar with polar coordinates should feel free to jump straight to the “Getting Started in MQL5” section, to see how these mathematical tools are implemented in MQL5.

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In the previous article Neural Network in Practice: Pseudoinverse (II), I discussed the importance of dedicated computational systems and the reasons behind their development. In this new article related to neural networks, we will delve deeper into the subject. Creating material for this stage is no simple task. Despite appearing straightforward, explaining something that often causes significant confusion can be quite challenging.

What will we cover at this stage? In this series, I aim to demonstrate how a neural network learns. So far, we have explored how a neural network establishes correlations between different data points.

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