strategytester5 1.3.1

A Python-based MetaTrader strategy tester for the MetaTrader5 module

StrategyTester5

StrategyTester is a Python-based backtesting and strategy testing framework built specifically for the MetaTrader5 (MT5) Python API.

Getting started

Ensure you have the MetaTrader 5 desktop application then proceeed to install the dependencies used in this project in your Python virtual environment

pip install strategytester5

Running your First Robot in The Strategy Tester

Step 1: Initialize the desired MetaTrader 5 terminal right after importing its module, alongside other useful Python modules for this project.

import MetaTrader5 as mt5
from strategytester5.tester import StrategyTester
from strategytester5.trade_classes.Trade import CTrade
import json
import os
import config

if not mt5.initialize(): # Initialize MetaTrader5 instance
    print(f"Failed to Initialize MetaTrader5. Error = {mt5.last_error()}")
    mt5.shutdown()
    quit()

See examples the examples https://github.com/MegaJoctan/StrategyTester5/tree/main/examples

Step 2: Load configurations from a JSON file. In this case configs/tester.json file.

# Get path to the folder where this script lives
BASE_DIR = os.path.dirname(os.path.abspath(__file__))

try:
    with open(os.path.join(BASE_DIR, "tester.json"), 'r', encoding='utf-8') as file: # reading a JSON file
        # Deserialize the file data into a Python object
        tester_configs = json.load(file)
except Exception as e:
    raise RuntimeError(e)

Step 3: Initialize the Tester class, giving it configurations and an initialized MetaTrader 5 instance.

tester = StrategyTester(tester_config=tester_configs["tester"], mt5_instance=mt5) # very important

Optionally, instantiate the CTrade class to make life much easier.

m_trade = CTrade(simulator=tester, magic_number=magic_number, filling_type_symbol=symbol, deviation_points=slippage)

Step 4: Write some trading strategy

# ---------------------- inputs ----------------------------

symbol = "EURUSD"
timeframe = "PERIOD_H1"
magic_number = 10012026
slippage = 100
sl = 1000
tp = 100

# ---------------------------------------------------------

symbol_info = tester.symbol_info(symbol=symbol) # symbol information

def pos_exists(magic: int, type: int) -> bool:

    for position in tester.positions_get():
        if position.type == type and position.magic == magic:
            return True
    
    return False

def on_tick():
    
    tick_info = tester.symbol_info_tick(symbol=symbol)
    
    ask = tick_info.ask
    bid = tick_info.bid
    
    pts = symbol_info.point
    
    if not pos_exists(magic=magic_number, type=mt5.POSITION_TYPE_BUY): # If a position of such kind doesn't exist
        m_trade.buy(volume=0.1, symbol=symbol, price=ask, sl=ask-sl*pts, tp=ask+tp*pts, comment="Tester buy") # we open a buy position
    
    if not pos_exists(magic=magic_number, type=mt5.POSITION_TYPE_SELL): # If a position of such kind doesn't exist
        m_trade.sell(volume=0.1, symbol=symbol, price=bid, sl=bid+sl*pts, tp=bid-tp*pts, comment="Tester sell") # we open a sell position

Step 5: Call the main trading function into action on every tick, similarly to the OnTick function in MQL5

tester.OnTick(ontick_func=on_tick) # very important!

https://github.com/user-attachments/assets/09ed6921-8f00-4b49-8bcf-c6ac6ae9cdb3

More information about the project

• https://www.mql5.com/en/articles/18971
• https://www.mql5.com/en/articles/20455
• https://www.mql5.com/en/articles/20782
• https://www.mql5.com/en/articles/20917