Discussion of article "Matrix and Vector operations in MQL5"

[MetaQuotes]

New article Matrix and Vector operations in MQL5 has been published:

Matrices and vectors have been introduced in MQL5 for efficient operations with mathematical solutions. The new types offer built-in methods for creating concise and understandable code that is close to mathematical notation. Arrays provide extensive capabilities, but there are many cases in which matrices are much more efficient.

Over the past years, we have done a lot to introduce advanced technologies into the MQL5 language:

• Porting the ALGLIB library of numerical methods to MQL5
  
• Implementing a mathematical library with fuzzy logic and statistic methods
  
• Introducing the graphics library, analogue of the plot function
  
• Integrating with Python to run Python scripts directly in the terminal
  
• Adding DirectX functions to create 3D graphics
  
• Implementing native SQLite support for operations with data bases
• Adding new data types: matrices and vectors, along with all the necessary methods

The MQL5 language will continue to develop, while one of the top priority direction is machine learning. We have big plans for further development. So, stay with us, support us, and keep learning with us.

Author: MetaQuotes