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pyOMT5 - Python Open Metatrader 5 module

Project description

pyOMT5 - Python Open MetaTrader 5

Python module to request data from MetaTrader 5

To get started:

  • install visual c++ 2010 redistributable (x86 or x64 according with your os)
  • install visual c++ 2015 redistributable (x86 or x64 according with your os)
  • create a new directory called pyOMT5 inside your MT5 Scrips folder. Ex: C:\Users\MyUser\AppData\Roaming\MetaQuotes\Terminal\83D4764E0403A8685E84D6FCAB361AAB\MQL5\Scripts\pyOMT5
  • download DLL files according your OS (32|64 Bits) from ZMQ to the new direcotry called pyOMT5
  • copy the files pyOMT5Server.mq5 and pyOMT5Server.ex5 from util directory called pyOMT5 to this new directory and compile it using MetaEditor if necessary.
  • run pyOMT5Server as a expert. Remember to have enabled auto trading option and allow DLLs imports when asked.

This module provides data in pandas representation because we believe that whether in finance, scientific fields, or data science, a familiarity with Pandas is known by everyone.

This library uses ZeroMQ and create a internal tcp server on MetaTrader, with the purpose of exchange data with MT5.


To install the package use:

pip install pyOMT5

If you want to install from source, then use:

git clone
pip install -e pyOMT5


from datetime import datetime
from pyomt5.api import MT5TimeFrame
from pyomt5.stock import StockPriceHistory

c = StockPriceHistory()

start_date = datetime(2019, 1, 1)
end_date = datetime(2019, 5, 2)
data = c.get_price_from(symbol='PETR4',


start_date = datetime(2019, 1, 2, 10, 0)
end_date = datetime(2019, 1, 2, 12, 0, 0)
data = c.get_price_from(symbol='PETR4',



Contributing is always welcome, so, feel free to getting in touch and contribute.


  • Add test for library.
  • Create sphinx docs
  • Create travis
  • Extend Api

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