aiomql

Installation

pip install aiomql

Key Features

• Asynchronous Python Library For MetaTrader 5
• Build bots for trading in different financial markets using a bot factory
• Use threadpool or proccesspool executors to run multiple strategies on multiple instruments concurrently
• Record and keep track of trades and strategies in csv files.
• Utility classes for using the MetaTrader 5 Library
• Sample Pre-Built strategies

Simple Usage as an Async MetaTrader5 Libray

import asyncio

# import the class
from aiomql import MetaTrader
from aiomql import Account, Terminal
from aiomql import TimeFrame, OrderType


async def main():
    # Initialize Terminal
    terminal = Terminal()
    mt5 = MetaTrader()
    await mt5.initialize()

    # create Account
    account = Account(account_number=30371334, password="nwa0#anaEze", server="Deriv-Demo")

    # login with account
    await account.login()

    # connection status with the account.connected property
    res = "Login Successful" if account.connected else "Unable to login into account"
    print(res)

    # set account properties
    account.risk = 0.10  # percentage of account equity to risk i.e 10%
    account.risk_to_reward = 3

    # get symbols available for the account if login was successful
    if account.connected:
        symbols = await mt5.symbols_get()
        print(symbols)

    # print timeframe constant for five minutes
    print(TimeFrame.M5)
    await terminal.shutdown()


asyncio.run(main())

As a Bot Building FrameWork using a Prebuilt Strategy

import logging

from aiomql import Bot
from aiomql.lib import ForexMarket, FingerTrap

fmt = "%(asctime)s : %(message)s"

logging.basicConfig(filename='example.log', format=fmt, level=logging.DEBUG)

market = ForexMarket()
bot = Bot(market=market)

# Finger strategy on all instruments in the forex markets
bot.add_strategy_all(strategy=FingerTrap)
bot.execute()
# This assumes that a mt5.json config file with account_number, password and server keys is available

see docs