Aiomql - Bot Building Framework and Asynchronous MetaTrader5 Library

Installation

pip install aiomql

Key Features

Asynchronous Python Library For MetaTrader5
Asynchronous Bot Building Framework
Build bots for trading in different financial markets using a bot factory
Use threadpool executors to run multiple strategies on multiple instruments concurrently
Records and keep track of trades and strategies in csv files.
Helper classes for Bot Building. Easy to use and extend.
Compatible with pandas-ta.
Sample Pre-Built strategies
Visualization of charts using matplotlib and mplfinance
Manage Trading periods using Sessions
Risk Management
Run multiple bots concurrently with different accounts from the same broker or different brokers

As an asynchronous MetaTrader5 Libray

import asyncio

from aiomql import MetaTrader


async def main():
    mt5 = MetaTrader()
    await mt5.initialize()
    await mt5.login(123456, '*******', 'Broker-Server')
    symbols = await mt5.symbols_get()
    print(symbols)
    
asyncio.run(main())

As a Bot Building FrameWork using a Sample Strategy

The following code is a sample bot that uses the FingerTrap strategy from the library.
It assumes that you have a config file in the same directory as the script.
The config file should be named aiomql.json and should contain the login details for your account.
It demonstrates the use of sessions and risk management.
Sessions allows you to specify the trading period for a strategy. You can also set an action to be performed at the end of a session.
Risk Management allows you to manage the risk of a strategy. You can set the risk per trade and the risk to reward ratio.
The trader class handles the placing of orders and risk management. It is an attribute of the strategy class.

from datetime import time
import logging

from aiomql import Bot, ForexSymbol, FingerTrap, Session, Sessions, RAM, SimpleTrader, TimeFrame

logging.basicConfig(level=logging.INFO)


def build_bot():
    bot = Bot()
    
    # create sessions for the strategies
    london = Session(name='London', start=8, end=time(hour=15, minute=30), on_end='close_all')
    new_york = Session(name='New York', start=13, end=time(hour=20, minute=30))
    tokyo = Session(name='Tokyo', start=23, end=time(hour=6, minute=30))
    
    # configure the parameters and the trader for a strategy
    params = {'trend_candles_count': 500, 'fast_period': 8, 'slow_period': 34, 'etf': TimeFrame.M5}
    gbpusd = ForexSymbol(name='GBPUSD')
    st1 = FingerTrap(symbol=gbpusd, params=params, trader=SimpleTrader(symbol=gbpusd, ram=RAM(risk=0.05, risk_to_reward=2)),
                     sessions=Sessions(london, new_york))
    
    # use the default for the other strategies
    st2 = FingerTrap(symbol=ForexSymbol(name='AUDUSD'), sessions=Sessions(tokyo, new_york))
    st3 = FingerTrap(symbol=ForexSymbol(name='USDCAD'), sessions=Sessions(new_york))
    st4 = FingerTrap(symbol=ForexSymbol(name='USDJPY'), sessions=Sessions(tokyo))
    st5 = FingerTrap(symbol=ForexSymbol(name='EURGBP'), sessions=Sessions(london))
    
    # sessions are not required
    st6 = FingerTrap(symbol=ForexSymbol(name='EURUSD'))
    
    # add strategies to the bot
    bot.add_strategies([st1, st2, st3, st4, st5, st6])
    bot.execute()

# run the bot
build_bot()

API Documentation

see API Documentation for more details

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Support

Feeling generous, like the package or want to see it become a more mature package?

Consider supporting the project by buying me a coffee.

Ichinga-Samuel/aiomql