Machine learning models are very sensitive instruments. In this series of articles, we will pay significantly more attention to how the transformations we apply to our data, affects our model's performance. Likewise, our models are also sensitive to how the relationship between the input and the target is conveyed. This means, we may need to create new features from the data we have at hand, in order for our model to effectively learn. more...
Forecasting plays an important role in time series analysis. Deep models have brought significant improvement in this area. In addition to successfully predicting future values, they also extract abstract representations that can be applied to other tasks such as classification and anomaly detection. The Transformer architecture, which originated in the field of natural language processing (NLP), demonstrated its advantages in computer vision (CV) and is successfully applied in time ...
We have released the most comprehensive guide to MQL5 programming, authored by experienced algorithmic trader Stanislav Korotky with MetaQuotes' support. The book is intended for programmers of all levels. Beginners will learn the fundamentals as the book introduces key development tools and basic programming concepts. With this material, you can create, compile, and run your first application in the MetaTrader 5 trading platform. Users with experience in other programming languages can immediately ...
For members of our community looking to sell Expert Advisors, this article will demonstrate how you can create a seamless experience for your end users. Our trading application will flexible and robust at the same time. I will show you how to create trading applications that will allow your clients to easily switch between high, medium and low-risk trading modes. While the PCA algorithm will take care of the heavy lifting for your end users in the background. more...
In this article, we will develop a script from scratch to visualize deals during retrospective analysis of trading decisions. Simply put, if we trade manually and analyze our past market entries in order to improve our trading performance, we want to spend as little time as possible on manual history analysis and the purely technical work associated with it: opening charts, searching for deals in history, manually saving print screens in the terminal, independently drawing Stop Loss and Take ...
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