PROGRAMMING A DEEP NEURAL NETWORK FROM SCRATCH USING MQL LANGUAGE

Introduction Since machine learning has recently gained popularity, many have heard about Deep Learning and desire to know how to apply it in the MQL language. I have seen simple implementations of artificial neurons with activation functions, but nothing that implements a real Deep Neural Network. In this article, I will introduce to you a Read more about PROGRAMMING A DEEP NEURAL NETWORK FROM SCRATCH USING MQL LANGUAGE[…]

HOW TO MASTER MACHINE LEARNING

All beginning traders start their learning journey with the technical analysis basics, and many of them read the same books on stock exchange trading. The basics are normally easy to understand. However, the initial manual trading phase passes fairly quickly. The next step is to achieve greater stability of trading results and to increase trading Read more about HOW TO MASTER MACHINE LEARNING[…]

MULTILAYER PERCEPTRON AND BACKPROPAGATION ALGORITHM (PART II): IMPLEMENTATION IN PYTHON AND INTEGRATION WITH MQL5

Introduction   The previous article considered the creation of a simple neuron (perceptron). We learned about gradient descent method, about the construction of the multilayer perceptron (MLP) network consisting of interconnected perceptrons and the training of such networks. In this article, I want to demonstrate how easy it is to implement this algorithm type using Read more about MULTILAYER PERCEPTRON AND BACKPROPAGATION ALGORITHM (PART II): IMPLEMENTATION IN PYTHON AND INTEGRATION WITH MQL5[…]

LEARN HOW TO DESIGN A TRADING SYSTEM BY MFI

Introduction Thie article continues our series about how to design simple trading systems based on the most popular technical indicators to help us learn MQL5 coding. In this new article, we will have a look at the new technical indicator called the Money Flow Index (MFI). We will learn this indicator in detail and find Read more about LEARN HOW TO DESIGN A TRADING SYSTEM BY MFI[…]

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