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  1. How to create a simple Multi-Currency Expert Advisor using MQL5 (Part 3): Added symbols prefixes and/or suffixes and Trading Time Session

    by , 08-24-2024 at 12:07 PM
    Several fellow traders sent emails or commented about how to use this Multi-Currency EA on brokers with symbol names that have prefixes and/or suffixes, and also how to implement trading time zones or trading time sessions on this Multi-Currency EA.

    Therefore, on this occasion I will explain and create a function to be implemented in the EA in the previous article FXSAR_MTF_MCEA by adding an automatic detection function for broker symbols with prefixes and/or suffixes and
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  2. Neural networks made easy (Part 79): Feature Aggregated Queries (FAQ) in the context of state

    by , 08-22-2024 at 11:32 AM
    Object detection in video has a number of certain characteristics and must solve the problem of changes in object features caused by motion, which are not encountered in the image domain. One of the solutions is to use temporal information and combine features from adjacent frames. The paper "FAQ: Feature Aggregated Queries for Transformer-based Video Object Detectors" proposes a new approach to detecting objects in video. The authors of the article improve the quality of queries for Transformer-based
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  3. MQL5 Wizard Techniques you should know (Part 16): Principal Component Analysis with Eigen Vectors

    by , 08-15-2024 at 06:09 PM
    Principal Component Analysis (PCA) is the focusing on only the ‘principal components’ among the many dimensions of a data set, such that one is reducing the dimensions of that data set by ignoring the ‘non-principal’ parts.

    PCA though, with eigen values & vectors, take on a slightly deeper approach. Typically, data sets that are handled under PCA are in a matrix format and the principal components, that are sought from a matrix would be a single vector column (or row) that
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  4. Population optimization algorithms: Artificial Multi-Social Search Objects (MSO)

    by , 07-23-2024 at 09:21 AM
    In the previous article, we considered the evolution of social groups where they moved freely in the search space. However, here I propose that we change this concept and assume that groups move between sectors, jumping from one to another. All groups have their own centers, which are updated at each iteration of the algorithm. In addition, we introduce the concept of memory both for the group as a whole and for each individual particle in it. Using these changes, our algorithm now allows
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  5. Modified Grid-Hedge EA in MQL5 (Part IV): Optimizing Simple Grid Strategy (I)

    by , 07-02-2024 at 05:58 AM
    In this installment of our ongoing series on the Modified Grid-Hedge EA in MQL5, we delve into the intricacies of the Grid EA. Building on our experience with the Simple Hedge EA, we now apply similar techniques to improve the performance of the Grid EA. Our journey begins with an existing Grid EA, which serves as our canvas for mathematical exploration. The goal? To dissect the underlying strategy, unravel its intricacies, and uncover the theoretical underpinnings that drive its behavior.
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