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mql5

  1. How to deal with lines using MQL5

    by , 11-11-2022 at 04:08 AM
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    We all as traders draw many lines while trading to help us to observe some important levels to take a suitable trading decision based on them. So, these lines are very important for us as traders and we may wonder if we have a method that can be used to draw these lines or take a suitable decision based on them automatically because I think that it will help us a lot. The answer is yes, we have a method to do that by MQL5 (MetaQuotes Language 5).
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  2. Neural networks made easy (Part 25): Practicing Transfer Learning

    by , 11-06-2022 at 01:17 AM
    We continue to study the Transfer Learning technology. In the previous two articles, we created a tool for creating and editing neural network models. This tool will help us transfer part of the pre-trained model to a new model and supplement it with new decision layers. We will also check the usability of our tool.
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    1. Neural networks made easy
    2. Neural networks made easy (Part 2): Network training and testing
    3. Neural networks made easy (Part 3): Convolutional networks
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  3. Data Science and Machine Learning (Part 08): K-Means Clustering in plain MQL5

    by , 11-02-2022 at 01:45 AM
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    Is a Machine learning paradigm for problems where the available data consists of unlabeled examples. Unlike supervised learning techniques such as regression methods, SVM, decision trees, neural networks, and many others discussed in this article series, where we always have labeled datasets that we fit our models upon. In unsupervised learning, the data is unlabeled so, it's up to the algorithm to figure out the relationship and everything else on itself.
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  4. DIY technical indicator

    by , 10-31-2022 at 01:26 AM
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    Any technical indicator is based on a certain algorithm for processing market information. As a rule, prices are used as initial data. Speaking in the language of math, the indicator is a function that converts prices into some final result. In this article, I will consider linear functions that can be used to build an indicator.
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  5. Neural networks made easy (Part 24): Improving the tool for Transfer Learning

    by , 10-30-2022 at 09:20 PM
    In the previous article in this series, we have created a tool to take advantage of the Transfer Learning technology. As a result of the work done, we got a tool that allows the editing of already trained models.

    Furthermore, the created tool allows not only editing trained models. It also allows creating completely new ones.

    Such a useful toll should also be as user friendly as possible. Thus, in this article, we will try to improve its usability.
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