Discussing the article: "Developing an MQL5 RL agent with RestAPI integration (Part 3): Creating automatic moves and test scripts in MQL5"

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Check out the new article: Developing an MQL5 RL agent with RestAPI integration (Part 3): Creating automatic moves and test scripts in MQL5.

This article discusses the implementation of automatic moves in the tic-tac-toe game in Python, integrated with MQL5 functions and unit tests. The goal is to improve the interactivity of the game and ensure the reliability of the system through testing in MQL5. The presentation covers game logic development, integration, and hands-on testing, and concludes with the creation of a dynamic game environment and a robust integrated system.

The idea behind this article is that by implementing automatic moves in tic-tac-toe in Python, we are laying a solid foundation for more complete and efficient testing. With the game responding autonomously, we can do a thorough check using MQL5 scripts that simulate real-life interaction with the REST API. This approach not only ensures that the game works as expected in various scenarios, but also checks the reliability of the connection between the MQL5 code and the API.

Thus, developing an agent in MQL5 that interacts with the tic-tac-toe game becomes the next logical step. This agent can imitate a real user, performing moves and responding to actions in the game, thereby creating a testing environment that is close to reality. This strategy allows us to not only test the functionality of the game and the API, but also study (and improve) the decision-making algorithms in automated games, providing a more complex and engaging gaming experience.

The combination of automatic tic-tac-toe play and unit testing in MQL5 creates a robust development cycle where every improvement in the game is tested and refined through rigorous testing. A continuous development and testing process ensures the creation of a reliable and efficient integrated system that can provide not only an improved gaming experience, but also valuable insights for future integrations and developments on systems in need of integration.

 

Author: Jonathan Pereira