We have released the most comprehensive guide to MQL5 programming, authored by experienced algorithmic trader Stanislav Korotky with MetaQuotes' support. The book is freely available online, under the "Book" section of the MQL5.community website. read more here
The issue of efficient exploration of the environment is one of the main problems of reinforcement learning methods. We have discussed this issue more than once. Each time, a proposed solution led to additional complication of the algorithm. In most cases, we resorted to using additional internal reward mechanisms to encourage the model to explore new actions and search for unexplored paths. more...
Regression is a task of predicting a real value from an unlabeled example. A well-known example of regression is estimating the value of a diamond based on such characteristics as size, weight, color, clarity, etc. The so-called regression metrics are used to assess the accuracy of regression model predictions. Despite similar algorithms, regression metrics are semantically different from similar loss functions. more...
In the previous article, we used two ONNX models to arrange the voting classifier. The entire source text was organized as a single MQ5 file. The entire code was divided into functions. But what if we try to swap models? Or add another model? The original text will become even bigger. Let's try the object-oriented approach. more...
When we design artificial intelligence models, we often need to prepare data first. Good data quality will allow us to get twice the result with half the effort in model training and validation. But our foreign exchange or stock data is special, which contains complex market information and time information, and data labeling is difficult, but we can easily analyze the trend in historical data on the chart. This section introduces a method of making data sets with trend marks by EA ...
Archive
Go to Profile
Mark as Read