pyOMT5 - Python Open Metatrader 5 module
Project description
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:UsersMyUserAppDataRoamingMetaQuotesTerminal83D4764E0403A8685E84D6FCAB361AABMQL5ScriptspyOMT5
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.
Install
To install the package use:
pip install pyOMT5
If you want to install from source, then use:
git clone https://github.com/paulorodriguesxv/pyOMT5.git
pip install -e pyOMT5
Usage
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',
from_date=start_date,
to_date=end_date,
timeframe=MT5TimeFrame.Daily)
print(data)
start_date = datetime(2019, 1, 2, 10, 0)
end_date = datetime(2019, 1, 2, 12, 0, 0)
data = c.get_price_from(symbol='PETR4',
from_date=start_date,
to_date=end_date,
timeframe=MT5TimeFrame.M5)
print(data)
Contributing
Contributing is always welcome, so, feel free to getting in touch and contribute.
TODOs
Add test for library.
Create sphinx docs
Create travis
Extend Api
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