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...
We continue our look at category theory with one more take on functors. So far, we have seen applications of category theory in implementing custom instances of the Expert trailing class, and the Expert Signal class so we will consider applications in using the Expert Money class for this article. All these classes come with the Meta Editor IDE and are used with the MQL5 wizard in assembling expert advisors with minimal coding. In this article as we sum up our look at functors ...
Financial markets generate data with a huge amount of complex relationships. To analyze them, we need to use the most modern methods of applied mathematics. Successfully combining the high complexity of financial data with the simplicity and efficiency of analysis is a challenging task. ALGLIB is a high-performance library designed specifically for working with numerical methods and data analysis algorithms. It is a reliable assistant in the analysis of financial markets. more...
Our custom panel will allow us to add any required amount of the necessary data to it, sign it, as well as display and update readings from the program code. It should be possible to move the panel around the chart with the mouse, dock it in the desired chart position, as well as collapse/expand it. For the convenience of placing the data on the panel, it will be possible to display a table with the specified number of rows and columns. The data from this table can be displayed in ...