Connect to MetaTrader5 on a networked device?

[trafficriot911]

I have MetaTrader5 running on Wine on Arch Linux and can connect to it just fine from that machine using the following python script:

from mt5linux import MetaTrader5

mt5 = MetaTrader5('localhost', 18812)

However, I want to be able to run my script on a Windows 10 machine on the same network but still connect to the MetaTrader5 instance on the Arch Linux server. I attempted this little code:

if os.name == 'nt':
    import MetaTrader5
    mt5 = MetaTrader5('192.168.0.23', 18812)
elif os.name == 'posix':
    from mt5linux import MetaTrader5
    mt5 = MetaTrader5('localhost', 18812)
else:
    print('Unknown OS')

If I run this on Windows 10 it gives this error:

Traceback (most recent call last):
  File "C:\Users\me\TradeTester\TradeTester.pyw", line 11, in <module>
    mt5 = MetaTrader5('192.168.0.23', 18812)
TypeError: 'module' object is not callable

According to the docs, on Windows you connect as so:

import MetaTrader5 as mt5

And then you can just do the:

mt5.initialize()

Whereas on Linux you have to run a server that listens on port 18812 and then do this:

mt5 = MetaTrader5('localhost', 18812)
mt5.initialize()

So when I'm on Windows and attempt to connect it throws the error above. Is there a way on Windows to connect to a remote MetaTrader5 instance?

[Peyman Salehifard]

I also encountered the same problem

[[Deleted]]

I don't think that will be possible. As far as I know, the Python API cannot connect across the network, only on the same machine (it uses named pipes).

[pperea21]

Most probably that port is binded to localhost so it can only be accessed from local machine.

You may try to forward that port using socat.

[pperea21]

Actually this is possible. There is a Python library called mt5linux that implements a RPyC server to allow calling local Metatrader Python functions from remote.

Library name does not describe what it can do as it may run in windows too.

I'm developing a docker image that runs MetaTrader5 and mt5linux server on a container, exposing rpyc port so that a Python script may be run from anywhere.