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  1. Population optimization algorithms: Fish School Search (FSS)

    by , 02-12-2023 at 12:39 AM
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    An aggregation of fish is the general term for any collection of fish that have gathered together in some locality. Fish aggregations can be structured or unstructured.
    Fish form schools in nature in several ways. As a rule, they prefer larger schools, consisting of individuals only of their own species.
    The question of how schooling fish choose the direction in which to swim remains unresolved. This schooling behavior prompted many researchers
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  2. Develop a Proof-of-Concept DLL with C++ multi-threading support for MetaTrader 5 on Linux

    by , 02-05-2023 at 12:36 AM
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    Linux has a vibrant development ecosystem and a good ergonomic for software development.
    Normally MetaTrader 5 developers just use MQL5 programming language to develop their indicators/experts or related products then publish on the market to end-users without any concern about which OS to base on.
    But when developers need to involve developing a custom solution as a shared library (DLL) to further expand and provide additional services
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  3. Population optimization algorithms: Cuckoo Optimization Algorithm (COA)

    by , 02-03-2023 at 12:53 AM
    The cuckoo is a fascinating bird, not only because of its singing, but also because of its aggressive breeding strategy, which consists in laying eggs into nests of other birds.
    Cuckoo search is one of the latest nature-inspired heuristic algorithms developed by Yang and Deb in 2009. It is based on the parasitism of some cuckoo species. This algorithm has been further improved by so-called Levy flights rather than simple isotropic random walk methods.
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  4. MQL5 Cookbook — Services

    by , 02-02-2023 at 12:59 AM
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    Since recently, MetaTrader 5 features a new program type known as a service. According to the developer, services allow users to create custom price feeds for the terminal, i.e. to implement price delivery from external systems in real time, just like it is implemented on brokers' trade servers. This is not the only feature of services.
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    In this article, I will consider the nuances of working
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  5. Data Science and Machine Learning (Part 10): Ridge Regression

    by , 02-01-2023 at 12:57 AM
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    Ridge regression is the method of estimating the coefficients of multiple-regression models in scenarios where the independent variables are highly correlated. The method provides improved efficiency in parameters estimation problems in exchange for a tolerable amount of bias meanwhile Lasso (Least absolute shrinkage and selection operator) is a regression analysis method that performs both variable selection and regularization to enhance the prediction
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