The MetaTrader 4 (MT4) platform is well known for its extensive toolkit designed for effective market analysis and trading strategies. One of the most valuable features in the MT4 platform is the ability to backtest an Expert Advisor (EA) or an indicator.
Backtesting trading strategies is an important step in developing and optimising any trading approach. By simulating trades with historical data, you can evaluate the performance and viability of your strategies before you risk real capital. A popular tool for backtesting is the Strategy Tester in MetaTrader 4.
In this article, we will provide you with a step-by-step guide on how to backtest your trading strategies and Expert Advisors in MetaTrader 4 Strategy Tester, and we’ll explore backtesting as well.

What is backtesting?
Backtesting is a process traders use to evaluate the performance of a handelsstrategie or Expert Advisor using historical data. It involves simulating trades based on predetermined rules and analysing the outcomes to assess the effectiveness of the strategy. By testing strategies on past market data, you can gain insights into their profitability, risk management, and overall viability before you risk real funds.
The MT4 Strategy Tester is designed to test and optimise trading robots before using in live trading. During backtesting, using historical quote data, a trading robot analyses available quotes and executes virtual transactions based on its programmed algorithm. This process enables traders to assess how an Expert Advisor would have performed historically and simulate its behaviour under real trading conditions.
Pros of backtesting
Backtesting an Expert Advisor offers a number of benefits, including:
Testing the potential of a strategy
Testing a trading strategy manually can be very time-consuming. By developing an Expert Advisor to execute your strategy, you can backtest it across various timeframes, instruments, and market conditions (trending, ranging, etc.) to assess its potential. This is probably the most important benefit.
Find errors in your Expert Advisor
Errors can happen when decoding regardless of expertise. Backtesting an Expert Advisor will help you to identify and correct bugs before running it on a demo account. Running a test on one year of data in seconds is much faster than waiting a year to observe its performance in a live trading account.
Collect more information about potential results
Past results do not guarantee future outcomes, but backtesting provides useful statistics about an Expert Advisor’s possible results. Metrics such as total profit/loss, number of trades executed, percentage of trades won en lost, and drawdown can be analysed for the tested period.
Identify strategy weaknesses
Backtesting can reveal when orders are opened and closed, allowing you to adjust your strategy to improve entry and exit triggers.
Test a purchased product
If you buy a commercial EA or download a free one from a website, always backtest it first to ensure its reliability and effectiveness before using it in live trading.

Disadvantages of backtesting
Differences in real account performance
The behaviour of an Expert Advisor on a real account may differ from backtesting results due to the broker’s execution quality and real-time communication with the server.
Past performance does not guarantee future results
Poor backtesting results generally indicate that an Expert Advisor is unlikely to perform well in real trading, while good backtesting results do not guarantee successful trading under real trading conditions
Quality of raw data
Reliable backtesting requires high-quality raw data, usually tick data. Inaccurate or poor-quality data can lead to poor backtesting results.
How to use MT4 Strategy Tester
Step 1: Understanding the Strategy Tester
The Strategy Tester is a built-in feature in the MetaTrader 4 platform that allows traders to backtest their trading strategies using historical data. It provides a simulated trading environment where traders can execute trades based on predefined rules.
The Strategy Tester offers different options for parameter optimisation and provides comprehensive reports and visual representations of backtesting results. To access the Strategy Tester, simply go to the “View” menu in MT4 and select “Strategy Tester”.
Step 2: Preparing your strategy
Doesn’t matter if you are professional of newbie, before starting backtesting, it’s essential to clearly define your trading strategy. This involves identifying the entry and exit rules, setting up indicators and parameters, and determining position sizing. If you have programming skills, you can also code using the MetaQuotes Language(MQL).
Step 3: Selecting the instrument and timeframe
In the Strategy Tester, select the financial instrument (e.g. currency pair, stock, etc.) and the timeframe for backtesting. Choose an instrument relevant to your strategy and consider the market conditions you aim to replicate. Additionally, select a timeframe that aligns with your strategy’s trading frequency.
Step 4: Setting up backtesting parameters
To guarantee accurate backtesting, you need to configure the following parameters in the Strategy Tester:
Testing mode in MT4
Choose whether to test your strategy only on historical data or to include real-time ticks for greater accuracy during the testing period.
Spread and slippage
Match the spread value to historical data you are using and add slippage to simulate real trading conditions.
Modelling quality
Choose the highest modelling quality available for more accurate results, though it will need longer to backtest.
Initial deposit and lot size
Set the initial deposit amount and lot size according to your trading strategy and risk tolerance.
Step 5: Running the backtest
After defining your strategy and setting the parameters, proceed to run the backtest. Simply click ‘Start” within the Strategy Tester window to begin the simulation. Throughout the backtest, you can track the progress through the visual representation of trades and performance metrics.
Step 6: Strategy optimisation (optional)
Once you’ve finished the initial backtest, you may decide to optimise your strategy for better performance. Optimisation involves adjusting your strategy’s parameters to find the most effective combination. MetaTrader 4’s Strategy Tester offers various optimisation methods, such as genetic algorithms and brute force to help identify the optimal parameters.

Step 7: Reviewing and refining the strategy
After completing the backtest and, if applicable, the optimisation process, the next step is to review the results. Analyse key performance metrics such as profit/loss, drawdown, and risk-reward ratio to assess the effectiveness of your strategy. This evaluation helps identify areas for improvement and potential issue that need attention.
Refining your strategy involves making essential adjustments based on insights gained from the backtest. This might include refining entry and exit rules, fine-tuning parameter values, or incorporating new indicators. Continuous iteration and refinement based on backtesting results can enhance the profitability and reliability of your trading strategy.
How to backtest in MT4
Backtesting in MT4 is straightforward:
- Open the Strategy Tester in MetaTrader 4 (Ctrl+R).
- Select the Expert Advisor you want to test for the drop-down list.
- Choose the currency pair and timeframe.
- Select the start and end dates for the test.
- Set the input parameters for the Expert Advisor.
- Press Start.
MetaTrader 4 will then run the Expert Advisor on the historical data and display the results.
In summary
Backtesting your trading strategy using the Strategy Tester in MT4 is valuable for improving your trading decisions. By simulating trades using historical data, you gain insights into your strategy’s performance, identify strengths and weaknesses, and make necessary adjustments. Defining your strategy clearly, setting precise parameters, and reviewing and refining based on backtesting results are essential steps. Committing to detailed backtesting will help you to improve your trading skills and increase your chances of success in trading.
Disclaimer:
This information is not considered investment advice or an investment recommendation, but instead a marketing communication. IronFX is not responsible for any data or information provided by third parties referenced or hyperlinked in this communication.