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In recent years, Transformer-based architectures for multimodal time series forecasting have gained widespread popularity and are progressively becoming one of the most preferred models for time series analysis. Increasingly, models are utilizing independent channel approaches, where the model processes each channel sequence separately, without interacting with the others.

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Object segmentation is a complex scene understanding task aimed not only at detecting objects in a sparse point cloud but also at providing a precise mask for each object.

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Backtesting trading strategies is a cornerstone of successful trading, but automating every idea can feel restrictive, while manual testing often lacks structure and precision. What if you could combine the control of manual trading with the power of MetaTrader 5’s Strategy Tester? In this article, we introduce a custom MetaQuotes Language 5 (MQL5) Expert Advisor (EA) that transforms manual backtesting into an intuitive, efficient process—equipping you with a toolkit to test strategies on

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Since the introduction of Matrices and Vectors MQL5 language has become more versatile and flexible when it comes to data storage and computations, these arrays which are in the form of objects which are accompanied by many built-in mathematical functions that once required manual implementations.

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The Alligator indicator, that was developed by Bill Williams with the premise that markets tend to trend strongly in any set direction for only about 15 – 30% of the time. It inherently is a trend following tool that helps traders identify market direction and potential fractals or turning points. This it achieves by using a set of three smoothed moving averages (SMAs) that are not only set at different averaging periods, but are also shifted forward by varying amounts.

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