Cтатьи
MQL5 Wizard Techniques you should know (Part 21): Testing with Economic Calendar Data для MetaTrader 5
Economic Calendar Data is not available for testing with Expert Advisors within Strategy Tester, by default. We look at how Databases could help in providing a work around this limitation. So, for this article we explore how SQLite databases can be used to archive Economic Calendar news such that
MQL5 Wizard Techniques you should know (Part 20): Symbolic Regression для MetaTrader 5
Symbolic Regression is a form of regression that starts with minimal to no assumptions on what the underlying model that maps the sets of data under study would look like. Even though it can be implemented by Bayesian Methods or Neural Networks, we look at how an implementation with Genetic
MQL5 Wizard Techniques you should know (Part 19): Bayesian Inference для MetaTrader 5
Bayesian inference is the adoption of Bayes Theorem to update probability hypothesis as new information is made available. This intuitively leans to adaptation in time series analysis, and so we have a look at how we could use this in building custom classes not just for the signal but also
MQL5 Wizard Techniques you should know (Part 18): Neural Architecture Search with Eigen Vectors для MetaTrader 5
Neural Architecture Search, an automated approach at determining the ideal neural network settings can be a plus when facing many options and large test data sets. We examine how when paired Eigen Vectors this process can be made even more efficient
MQL5 Wizard Techniques you should know (Part 17): Multicurrency Trading для MetaTrader 5
Trading across multiple currencies is not available by default when an expert advisor is assembled via the wizard. We examine 2 possible hacks traders can make when looking to test their ideas off more than one symbol at a time
MQL5 Wizard Techniques you should know (Part 16): Principal Component Analysis with Eigen Vectors для MetaTrader 5
Principal Component Analysis, a dimensionality reducing technique in data analysis, is looked at in this article, with how it could be implemented with Eigen values and vectors. As always, we aim to develop a prototype expert-signal-class usable in the MQL5 wizard
MQL5 Wizard Techniques You Should Know (Part 15): Support Vector Machines with Newton's Polynomial для MetaTrader 5
Support Vector Machines classify data based on predefined classes by exploring the effects of increasing its dimensionality. It is a supervised learning method that is fairly complex given its potential to deal with multi-dimensioned data. For this article we consider how it’s very basic
MQL5 Wizard Techniques you should know (14): Multi Objective Timeseries Forecasting with STF для MetaTrader 5
Spatial Temporal Fusion which is using both ‘space’ and time metrics in modelling data is primarily useful in remote-sensing, and a host of other visual based activities in gaining a better understanding of our surroundings. Thanks to a published paper, we take a novel approach in using it by
MQL5 Wizard Techniques you should know (Part 13): DBSCAN for Expert Signal Class для MetaTrader 5
Density Based Spatial Clustering for Applications with Noise is an unsupervised form of grouping data that hardly requires any input parameters, save for just 2, which when compared to other approaches like k-means, is a boon. We delve into how this could be constructive for testing and eventually
MQL5 Wizard Techniques you should know (Part 12): Newton Polynomial для MetaTrader 5
Newton’s polynomial, which creates quadratic equations from a set of a few points, is an archaic but interesting approach at looking at a time series. In this article we try to explore what aspects could be of use to traders from this approach as well as address its limitations
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Ошибки синхронизации в облаке
Я продолжаю получать эти ошибки, которые завершают работу облачного сервиса при оптимизации 2012.12.20 13:49:33 Тестер достигнут лимит отклоненных задач, облачные соединения будут закрыты 2012.12.20 13:49:32 MQL5 Cloud Europe 2 генетический проход (0, 33) протестирован с ошибкой "endless loop