This is one of the most reliable methods. It uses an asynchronous messaging library to create a real-time data feed and send trade commands from Python to an MT4 Expert Advisor (EA) acting as a server.
Community-driven projects like mt4pycon or OTMql4Py provide pre-built DLLs and scripts to handle the socket communication for you.
Because MT4 does not have a built-in library for Python, you must use a "bridge" to facilitate communication between the two.
Process the data using libraries like Pandas and NumPy to identify signals, such as a Bullish Engulfing pattern.
Python-mt4 -
This is one of the most reliable methods. It uses an asynchronous messaging library to create a real-time data feed and send trade commands from Python to an MT4 Expert Advisor (EA) acting as a server.
Community-driven projects like mt4pycon or OTMql4Py provide pre-built DLLs and scripts to handle the socket communication for you.
Because MT4 does not have a built-in library for Python, you must use a "bridge" to facilitate communication between the two.
Process the data using libraries like Pandas and NumPy to identify signals, such as a Bullish Engulfing pattern.
