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  1. Data Science and Machine Learning — Neural Network (Part 01): Feed Forward Neural Network demystified

    by , 08-16-2022 at 02:58 AM
    Neural networks sound like this fancy new thing that seems as a way forward to build holy grails trading systems, many traders are stunned by the programs made of neural networks, as they seem to be good at predicting market movements basically, they are good at any task at hand.

    In this article, we are going to see the basics of a neural network and answer some of the basic questions that I think are important for an ML enthusiast to understand for them to master this subject.
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  2. Learn how to design a trading system by Bear's Power

    by , 08-15-2022 at 02:44 AM
    In this new article from our series, we will learn a new technical tool that can be used in our favor especially if we combine it with other technical tools. We will learn how to create a trading system by the Bear's Power technical indicator. As we do in our article in this series that we try to understand the root of things to use them in an effective way.
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  3. Experiments with neural networks (Part 1): Revisiting geometry

    by , 08-10-2022 at 02:57 AM
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    In this article, I would like to share my experiments with neural networks. After reading a large amount of information available on MQL5, I came to the conclusion that the theory is sufficient. There are plenty of good articles, libraries and source codes. Unfortunately, all this data does not lead to a logical conclusion – a profitable trading system. Let's try to fix this.
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  4. Learn how to design a trading system by Force Index

    by , 08-06-2022 at 02:55 AM
    Here is a new article from our series about learning how to design a trading system by the most popular technical indicators. In this article, we will learn how to create a trading system by the Force Index indicator. We will learn what is this indicator in detail by covering the following topics:


    1. Force Index definition
    2. Force Index strategy
    3. Force Index strategy blueprint
    4. Force Index trading system
    5. Conclusion
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  5. Neural networks made easy (Part 17): Dimensionality reduction

    by , 08-05-2022 at 02:11 AM
    We continue to study models and unsupervised learning algorithms. We have already considered data clustering algorithms. In this article, I will explore a solution of problems related to dimensionality reduction. Essentially, these are certain data compression algorithms that are widely used in practice. Let us study the implementation of one of these algorithms and see how it can be used in building our trading model.
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    1. Neural networks made easy
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