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  1. Neural networks made easy (Part 38): Self-Supervised Exploration via Disagreement

    by , 03-14-2024 at 04:18 AM
    This algorithm is based on a self-learning method, where the agent uses information obtained during interaction with the environment to generate "intrinsic" rewards and update its strategy. The algorithm is based on the use of several agent models that interact with the environment and generate various predictions. If the models disagree, it is considered an "interesting" event and the agent is incentivized to explore that space of the environment. In this way, the algorithm incentivizes the agent
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  2. Ready-made templates for including indicators to Expert Advisors (Part 1): Oscillators

    by , 03-10-2024 at 06:29 AM
    The purpose of this article is to create templates for including indicators to EAs. Let's look at indicators from the oscillator category, their input variables, creating an indicator handle and obtaining the required data from it.
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  3. Evaluating ONNX models using regression metrics

    by , 03-06-2024 at 04:19 AM
    Regression is a task of predicting a real value from an unlabeled example. A well-known example of regression is estimating the value of a diamond based on such characteristics as size, weight, color, clarity, etc.

    The so-called regression metrics are used to assess the accuracy of regression model predictions. Despite similar algorithms, regression metrics are semantically different from similar loss functions.

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  4. How to create a simple Multi-Currency Expert Advisor using MQL5 (Part 6): Two RSI indicators cross each other's lines

    by , 03-01-2024 at 05:39 AM
    Multi-currency Expert Advisor is an Expert Advisor or trading robot that can trade (open orders, close orders and manage orders, for example: Trailing Stop Loss and Trailing Profit) for more than 1 symbol pair from only one symbol chart, where in this article Expert Advisor will trade for 30 pairs. In this article we will use two RSI indicators with crossing signals, Fast RSI crossing with Slow RSI.

    As has been proven in previous articles, we all know that multi-currency trading
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  5. Neural networks made easy (Part 37): Sparse Attention

    by , 02-26-2024 at 04:19 AM
    In the previous article, we discussed relational models which use attention mechanisms in their architecture. We used this model to create an Expert Advisor, and the resulting EA showed good results. However, we noticed that the model's learning rate was lower compared to our earlier experiments. This is due to the fact that the transformer block used in the model is a rather complex architectural solution performing a large number of operations. The number of these operations grows in a quadratic
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