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This is a discussion on Metatrader 5 / Metatrader 4 for MQL5 / MQL4 articles preview within the General Discussion forums, part of the Trading Forum category; In June 2018, OpenAI presented the GPT neural network model, which immediately showed the best results in a number of ...

      
   
  1. #321
    member mql5's Avatar
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    Neural networks made easy (Part 11): A take on GPT

    In June 2018, OpenAI presented the GPT neural network model, which immediately showed the best results in a number of language tests. GDP-2 appeared in 2019, and GPT-3 was presented in May 2020. These models demonstrated the ability of the neural network to generate related text. Additional experiments concerned the ability to generate music and images. The main disadvantage of such models is connected with the computing resources they involve. It took a month to train the first GPT on a machine with 8 GPUs. This disadvantage can be partially compensated by the possibility of using pre-trained models to solve new problems. But considerable resources are required to maintain the model functioning considering its size.
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    1. Neural networks made easy - MT5
    2. Neural networks made easy (Part 2): Network training and testing - MT5
    3. Neural networks made easy (Part 3): Convolutional networks - MT5
    4. Neural networks made easy (Part 4): Recurrent networks - MT5
    5. Neural networks made easy (Part 5): Multithreaded calculations in OpenCL - MT5
    6. Neural networks made easy (Part 6): Experimenting with the neural network learning rate - MT5
    7. Neural networks made easy (Part 7): Adaptive optimization methods - MT5
    8. Neural networks made easy (Part 8): Attention mechanisms - MT5
    9. Neural networks made easy (Part 9): Documenting the work - MT5
    10. Neural networks made easy (Part 10): Multi-Head Attention - MT5
    11. Neural networks made easy (Part 11): A take on GPT - MT5
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  2. #322
    member mql5's Avatar
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    Metatrader 5 / Metatrader 4 for MQL5 / MQL4 articles preview preview
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  3. #323
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    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.
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    Metatrader 5 / Metatrader 4 for MQL5 / MQL4 articles preview preview
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