Neural Networks - page 27

Sergey Golubev
Moderator
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Sergey Golubev  
Neural Networks Made Easy
Neural Networks Made Easy
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Artificial intelligence is often associated with something fantastically complex and incomprehensible. At the same time, artificial intelligence is increasingly mentioned in everyday life. News about achievements related to the use of neural networks often appear in different media. The purpose of this article is to show that anyone can easily create a neural network and use the AI achievements in trading.
Sergey Golubev
Moderator
122933
Sergey Golubev  

Forum on trading, automated trading systems and testing trading strategies

Taking Neural Networks to the next level

Sergey Golubev, 2021.04.13 10:14

Machine learning in Grid and Martingale trading systems. Would you bet on it? - MT5

Machine learning in Grid and Martingale trading systems. Would you bet on it?

We have been working hard studying various approaches to using machine learning aimed at finding patterns in the forex market. You already know how to train models and implement them. But there are a large number of approaches to trading, almost every one of which can be improved by applying modern machine learning algorithms. One of the most popular algorithms is the grid and/or martingale. Before writing this article, I did a little exploratory analysis, searching for the relevant information on the Internet. Surprisingly, this approach has little to no coverage in the global network. I had a little survey among the community members regarding the prospects of such a solution, and the majority answered that they did not even know how to approach this topic, but the idea itself sounded interesting. Although, the idea itself seems quite simple.

Let us conduct a series of experiments with two purposes. First, we will try to prove that this is not as difficult as it might seem at first glance. Second, we will try to find out if this approach is applicable and effective. 



Sergey Golubev
Moderator
122933
Sergey Golubev  

Neural networks made easy (Part 12): Dropout

Since the beginning of this series of articles, we have already made a big progress in studying various neural network models. But the learning process was always performed without our participation. At the same time, there is always a desire to somehow help the neural network to improve training results, which can also be referred to as the convergence of the neural network. In this article we will consider one of such methods entitled Dropout.

Sergey Golubev
Moderator
122933
Sergey Golubev  

Neural networks made easy (Part 13): Batch Normalization

In the previous article, we started considering methods aimed at increasing the convergence of neural networks and got acquainted with the Dropout method, which is used to reduce the co-adaptation of features. Let us continue this topic and get acquainted with the methods of normalization.

Neural networks made easy (Part 13): Batch Normalization
Neural networks made easy (Part 13): Batch Normalization
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In the previous article, we started considering methods aimed at improving neural network training quality. In this article, we will continue this topic and will consider another approach — batch data normalization.