After some days of research, I've come to the conclusion that the probably best and fastest communication protocol between MT4/5 and MATLAB, is by ZeroMQ. After testing its development on Python by Darwinex (https://github.com/darwinex/DarwinexLabs/tree/master/tools/dwx_zeromq_connector), it seems to be even more reliable and functional that MQL5's official py wrapper itself. This is because of its asynchronous PUB/SUB messaging pipeline: the ability for MQL5 (server) to send and force market tick appending on a DataFrame (for example) without Python (client) explicitly requesting for it. On the other hand, it also has a Push/Pull channel by which Python (client) can send commands (buy/stop/limit, sell/stop/limit, request market/trade/account data, modify/close order, etc) to MQL5 (server) and expect the latter to respond if necessary.
I've got my strategies and mathematical tools installed in MATLAB. My experience in MATLAB is solid but doesn't go beyond some toolboxes, GUIs and application-specific functions. I do not have knowledge about C++ compiling, Java class usage and sockets. So...
I need a function/class library with pretty much the same capabilities and syntax of the aforementioned Pythonic one created by Darwinex. The more similar, the better. It should be preferably be able to synchronize with the MQL expert advisor created by Darwinex too. It should have a "Connector" class which links to the MetaTrader expert advisor. The "Connector" should have the following methods:
The most that can be done from Matlab without depending from stuff in other languages, the best. I know this work has been done in the past with imports from Java classes (https://la.mathworks.com/matlabcentral/answers/269061-how-do-i-integrate-zeromq-library-with-matlab-i-want-my-matlab-program-to-be-a-subscriber-of-zeromq) or from MEX compilers (https://github.com/fagg/matlab-zmq, https://github.com/smcgill3/zeromq-matlab) but I just can't make them work, and I don't think that they could have the simplicity of syntax that I need.